Paediatric Brain Monitoring with Information Technology (KidsBrainIT): Using Information Technology (IT) Innovations to Improve Childhood brain trauma
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Clinical Sciences
Abstract
PROJECT AIM: We aim to test two hypotheses: After sustaining traumatic brain injury (TBI), paediatric
patients with a longer period of measured cerebral perfusion pressure (CPP) maintained within the
calculated optimal CPP (CPPopt) ranges have (1) an improved outcome, and (2) better tolerance
against raised intracranial pressure (ICP).
WORK PLAN: We set up a new multi-centre, multi-disciplinary and multi-national clinical and research
collaborative called KidsBrainIT. In a 2-year prospective observational study, 10 centres contribute
paediatric TBI patients' annoymised clinical, high-resolution physiological, and outcome data to a central
repository (KidsBrainIT Data-bank). Using the same methodology as our pilot (optimal CPP calculation
and ICP dose-response plots), the main data-set is used to test our hypotheses. A sub-set of data is
used to test novel technology and data models. Calculated validated indices is used as metrics of
clinical management quality assurance for feedback to contributing units to improve treatment.
EXPLOITATION OF RESULTS: By bringing senior clinicians, engineers, and scientists from different
centres and countries to the group, KidsBrainIT facilitates testing of clinically relevant therapeutic
thresholds and validating new monitoring technologies which are then readily translated back into
clinical practice through contributing units. It will also address inequality and variations in TBI
management between adult and paediatric practices.
patients with a longer period of measured cerebral perfusion pressure (CPP) maintained within the
calculated optimal CPP (CPPopt) ranges have (1) an improved outcome, and (2) better tolerance
against raised intracranial pressure (ICP).
WORK PLAN: We set up a new multi-centre, multi-disciplinary and multi-national clinical and research
collaborative called KidsBrainIT. In a 2-year prospective observational study, 10 centres contribute
paediatric TBI patients' annoymised clinical, high-resolution physiological, and outcome data to a central
repository (KidsBrainIT Data-bank). Using the same methodology as our pilot (optimal CPP calculation
and ICP dose-response plots), the main data-set is used to test our hypotheses. A sub-set of data is
used to test novel technology and data models. Calculated validated indices is used as metrics of
clinical management quality assurance for feedback to contributing units to improve treatment.
EXPLOITATION OF RESULTS: By bringing senior clinicians, engineers, and scientists from different
centres and countries to the group, KidsBrainIT facilitates testing of clinically relevant therapeutic
thresholds and validating new monitoring technologies which are then readily translated back into
clinical practice through contributing units. It will also address inequality and variations in TBI
management between adult and paediatric practices.
Technical Summary
Aims: We aim to set up a new multi-centre, multi-disciplinary, multi-national intensive care informatics group for paediatric brain trauma (KidsBrainIT) for current and future hypotheses testing. We then aim to use the KidsBrainIT data-set in this proposal to test two clinically relevant hypotheses: After sustaining traumatic brain injury (TBI), paediatric patients with a longer period of measured cerebral perfusion pressure (CPP) maintained within the calculated optimal CPP (CPPopt) window have (1) an improved global clinical outcome, and (2) better tolerance against raised intracranial pressure (ICP). Methods: A 2-year prospective observational study is planned in the current proposal. Paediatric TBI patients requiring intensive care will be recruited from 10 contributing centres in 4 different countries. We will collect their anonymised routinely collected bedside physiological monitoring data in minute resolutions linked with anonymised clinical and outcome data and store it to the central KidsBrainIT data-bank. CPPopt is calculated using the LAx-CPP plots and DATACAR methodology and ICP dose response analyses will be performed on the KidsBrainIT dataset. These will be correlated with global outcome at 6 months. Age-maturation effects are studied by grouping patients into three previously described age-bands. In addition, a centralised informatics based quality assurance infrastructure is in place to generate treatment compliance reports to our contributing units for clinical care and patient safety improvement.
Planned Impact
Potential Health and Clinical Impact: While the current proposal (Phase-1 of KidsBrainIT) will address inequality and variations in TBI management between adult and paediatric practices, the ultimate objective of KidsBrainIT is to improve paediatric TBI intensive care management in the UK, Europe, North America and beyond. To achieve this ultimate objective, we plan to expand in later phases of KidsBrainIT to include other centres beyond the current consortium in this proposal. Currently we have another 6 UK, 1 European, 1 US, and 1 Canadian centres waiting to join Phase-2 of the KidsBrainIT initiative.
We expect our contributing units to benefit from quality improvement (QI) summary reports by allowing each unit to quality improve and adjust local clinical management, education and feedback to frontline staff thereby improving patient care standards, safety and outcome. While initially the impact on patient care and safety are delivered in 6 monthly cycles to the contributing units, KidsBrainIT will ultimately produce per-patient QI reports to contributing units so that each centre can obtain feedback on how well their own team is with adhering to target treatments and achieving the calculated CPPopt.
With KidsBrainIT's planned expansion to include other units in the world and IT innovation development to allow real-time monitoring systems with live management feedback in the future (see: www.chartadapt.org), we expect KidsBrainIT will ultimately benefit paediatric TBI care worldwide. Through continual collaboration with adult BrainIT, we will reduce inequality between adult and paediatric TBI management and research. We expect to generate validated ICP dose-response graphs for three clinically relevant age-bands by the end of the study. These graphs are readily translated back to clinical practice to allow a more refined evidence based management of raised ICP. We expect our contributing units to adopt these graphs in their clinical practice soon after the end of this study and through publication at peer reviewed journal and conference presentations, we anticipate uptake by other clinical units within 5 years of this study especially when translation of our findings into clinical practice does not require any additional equipment or software to those already used for routine clinical bedside monitoring. KidsBrainIT is conducting non-commercial research to improve paediatric TBI care, safety and outcome. If technologies or equipment developed by our contributing partners are proven to be useful in advancing care and outcome, we will encourage them to seek patent recognition and opportunities to commercialise its use so that a wider clinical community may benefit from our research. Adult BrainIT has experience in such practice with Prof. Ragauskus (an adult BrainIT steering group member from Lithuania) having a track record in successfully commercialising novel monitoring technologies such as non-invasive ICP and cerebro-autoregulation monitoring in adults.
We expect our contributing units to benefit from quality improvement (QI) summary reports by allowing each unit to quality improve and adjust local clinical management, education and feedback to frontline staff thereby improving patient care standards, safety and outcome. While initially the impact on patient care and safety are delivered in 6 monthly cycles to the contributing units, KidsBrainIT will ultimately produce per-patient QI reports to contributing units so that each centre can obtain feedback on how well their own team is with adhering to target treatments and achieving the calculated CPPopt.
With KidsBrainIT's planned expansion to include other units in the world and IT innovation development to allow real-time monitoring systems with live management feedback in the future (see: www.chartadapt.org), we expect KidsBrainIT will ultimately benefit paediatric TBI care worldwide. Through continual collaboration with adult BrainIT, we will reduce inequality between adult and paediatric TBI management and research. We expect to generate validated ICP dose-response graphs for three clinically relevant age-bands by the end of the study. These graphs are readily translated back to clinical practice to allow a more refined evidence based management of raised ICP. We expect our contributing units to adopt these graphs in their clinical practice soon after the end of this study and through publication at peer reviewed journal and conference presentations, we anticipate uptake by other clinical units within 5 years of this study especially when translation of our findings into clinical practice does not require any additional equipment or software to those already used for routine clinical bedside monitoring. KidsBrainIT is conducting non-commercial research to improve paediatric TBI care, safety and outcome. If technologies or equipment developed by our contributing partners are proven to be useful in advancing care and outcome, we will encourage them to seek patent recognition and opportunities to commercialise its use so that a wider clinical community may benefit from our research. Adult BrainIT has experience in such practice with Prof. Ragauskus (an adult BrainIT steering group member from Lithuania) having a track record in successfully commercialising novel monitoring technologies such as non-invasive ICP and cerebro-autoregulation monitoring in adults.
Organisations
- University of Edinburgh (Lead Research Organisation)
- Edinburgh Children's Hospital Charity (Collaboration)
- Brainsview Inc (Collaboration)
- UZ Leuven, Belgium (Collaboration)
- NHS Lothian (Collaboration)
- Aga Khan University Hospital (Collaboration)
- Brainview Inc. (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- University of Cape Town (Collaboration)
People |
ORCID iD |
| Tsz-Yan Lo (Principal Investigator) |
Publications
Abdullateef S
(2022)
Quantitative detection of seizures with minimal-density EEG montage using phase synchrony and cross-channel coherence amplitude in critical care.
in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Depreitere B
(2018)
Cerebral Perfusion Pressure Variability Between Patients and Between Centres.
in Acta neurochirurgica. Supplement
Donald R
(2019)
Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.
in Journal of clinical monitoring and computing
Flechet M
(2018)
Visualizing Cerebrovascular Autoregulation Insults and Their Association with Outcome in Adult and Paediatric Traumatic Brain Injury.
in Acta neurochirurgica. Supplement
Harley, E.
Oxford Textbook of Neurocritical Care
Kafantaris E
(2021)
Assessment of Outliers and Detection of Artifactual Network Segments Using Univariate and Multivariate Dispersion Entropy on Physiological Signals.
in Entropy (Basel, Switzerland)
Kafantaris E
(2020)
Augmentation of Dispersion Entropy for Handling Missing and Outlier Samples in Physiological Signal Monitoring.
in Entropy (Basel, Switzerland)
Kafantaris E
(2019)
Application of Dispersion Entropy to Healthy and Pathological Heartbeat ECG Segments.
in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Kafantaris E
(2023)
Stratified Multivariate Multiscale Dispersion Entropy for Physiological Signal Analysis
in IEEE Transactions on Biomedical Engineering
| Title | A window in the brain partnership logo |
| Description | We generated a logo for our latest collaborative partnership ( A window in the brain) between academic - clinical and industry sectors. |
| Type Of Art | Image |
| Year Produced | 2020 |
| Impact | This is an easy to identify logo and we are confident it will help the participants and general public recognise output from this partnership which we hope will bring a new method to quantitatively detect seizures at the bedside. |
| Title | Intensive-Share Logo |
| Description | Logo for the Intensive-Share Paediatric Critical Care PPI Group. |
| Type Of Art | Image |
| Year Produced | 2022 |
| Impact | Identity for the Intensive-Share Group. Impact pending. |
| Title | KidsBrainIT logo |
| Description | We have designed and produced a KidBrainIT logo for our group. |
| Type Of Art | Image |
| Year Produced | 2017 |
| Impact | Our logo allows our contributing partners, participants and their families, and the general public to easily identify our group and work related to our group. It is widely used within the EU consortium and has generated great interests in our work. |
| Description | Closing the big data loop - using routinely collected bedside physiological data for research and improving paediatric brain trauma management |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | Development of Local Management Guidelines for Traumatic Brain Injury |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Contribution to new or improved professional practice |
| Impact | The Guidelines are pending implementation. |
| Description | Development of Research/QI Rounds for Paediatric Critical Care |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The Research QI Rounds are attended by more than 20 clinicians and academics, with a range of professional backgrounds including medics, nursing, psychologists, data scientists, engineers and allied health professionals. Attendees have been given the opportunity to develop their research ideas with feedback from the multi-disciplinary group, and receive formal training. We are currently collecting evaluation data to evidence the benefits and impacts of this training. |
| Description | Development of training materials on seizure detection in PICU for paediatric trainees. |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Dr Rae demonstrated that paediatric trainees were not confident in detecting seizures clinically or on EEG (with measured seizure detection accuracy less than 45%). All paediatric trainees involved in this study (n = 40) reported a desire to use quantitative seizure detection tools if one were available. Dr Rae has disseminated this finding at the European Paediatric and Neonatal Intensive Care Conference 2021. |
| Description | Improvement research in paediatric critical care: Panning the (data)stream for gold |
| Geographic Reach | Asia |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Sharing of our established Infrastructure and framework to enhance secondary use of routinely generated clinical big data (including bedside physiological monitoring data in at least minutely resolution) improved education and skill level of senior clinicians in paediatric critical care units working in low resources countries on the possible solutions to implement a similar system in their countries. Opportunities to collaborate and further training was offered. |
| Description | Paediatric brain trauma management education module in the first Scottish Paediatric Critical Care Nursing Course |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | Paediatric brain trauma management in Paediatric Critical Care Education module |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | A Window In The Brain 2: Novel Quantitative Seizure Detection Tool For Paediatric Critical Care. A Multi-Centre Feasibility Study |
| Amount | £298,740 (GBP) |
| Funding ID | TCS/21/30 |
| Organisation | Chief Scientist Office |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2022 |
| End | 03/2025 |
| Description | CMVM Public Engagement with Research Seed Fund |
| Amount | £1,500 (GBP) |
| Funding ID | PE 3.02 |
| Organisation | University of Edinburgh |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 02/2022 |
| End | 11/2022 |
| Description | Large Grant Programme |
| Amount | £35,000 (GBP) |
| Funding ID | Grant 2017/48 |
| Organisation | Royal Hospital for Sick Children Edinburgh |
| Department | Sick Kids Friends Foundation |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 12/2018 |
| End | 12/2020 |
| Description | Large Research Grant |
| Amount | £55,482 (GBP) |
| Organisation | Edinburgh Children's Hospital Charity |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 02/2020 |
| End | 01/2022 |
| Description | Large equipment grant |
| Amount | £21,650 (GBP) |
| Organisation | Edinburgh Children's Hospital Charity |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2020 |
| End | 03/2021 |
| Description | MRC Confidence in Concept grant |
| Amount | £112,216 (GBP) |
| Organisation | Medical Research Council (MRC) |
| Department | MRC Confidence in Concept Scheme |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 04/2020 |
| End | 04/2021 |
| Description | MRC Precision Medicine PhD Studentship |
| Amount | £60,000 (GBP) |
| Organisation | University of Edinburgh |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 09/2022 |
| End | 03/2026 |
| Description | MRC Precision Medicine PhD Studentship |
| Amount | £60,000 (GBP) |
| Organisation | University of Edinburgh |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 10/2020 |
| End | 09/2024 |
| Description | MRC Proximity to Discovery Grant |
| Amount | £9,990 (GBP) |
| Organisation | University of Edinburgh |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 10/2018 |
| End | 12/2018 |
| Description | Paediatric Intensive Care Society Research Award 2017 |
| Amount | £1,951 (GBP) |
| Organisation | Paediatric Intensive Care Society |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 12/2017 |
| Description | Project Grant |
| Amount | £20,208 (GBP) |
| Funding ID | 2022-84 |
| Organisation | Edinburgh Children's Hospital Charity |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 01/2023 |
| End | 01/2024 |
| Description | Usher Institute Small Grants - Outreach and Impact Activity |
| Amount | £1,000 (GBP) |
| Organisation | University of Edinburgh |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 11/2022 |
| End | 06/2023 |
| Title | A Window in the Brain 1 Dataset |
| Description | This is a research dataset that contains fully anonymised electroencephalographic (EEG) and Cerebral Function Analysis Monitors (CFAM) recordings from the Paediatric Critical Care Unit (PCCU) in Edinburgh (NHS Lothian). We have ethical and R&D approval to use the data for current research and archive the data for storage, future research and data sharing. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | Impacts pending. |
| Title | KidsBrainIT Bedside monitoring interface and extraction methodology |
| Description | Through collaborations within the research consortium, monitoring companies, and local PI and their medical physic team, we have developed several bespoke bedside monitoring interface to allow physiological data extraction of routinely collected clinical physiological data in at least minute resolutions from different brands of bedside monitors and configurations for research and quality improvement work. The data is fully anonymised prior to deposit into the KidsBrainIT central data-bank. |
| Type Of Material | Data handling & control |
| Year Produced | 2018 |
| Provided To Others? | No |
| Impact | This data extraction model closes the big data loop by promoting the use of routinely collected bedside physiological data for research and quality improvement work. Our bespoke monitoring interface and data extraction methods allow us to extract data from different brands of bedside monitors and configurations which will enable us to include almost any paediatric intensive care units that wish to join our research consortium in the future thereby enhancing inclusion ability of our multi-national consortium. |
| Title | KidsBrainIT Central Data-bank |
| Description | This is a research data-base that contains fully anonymised pre-defined acute clinical details, minute-by-minute prospectively collected physiological data from intensive care bedside monitors, linked with 6 and 12 months post-injury global outcome data from paediatric patients who had sustained life-threatening brain trauma requiring intensive care management in 4 EU countries. This is a live data-base with new data set being deposited into the data-bank. We have ethical and R&D approval at all contributing centres and have seek consent to use the data for current research in addition to archiving the data for storage and future research use and data sharing. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | No |
| Impact | This is the first multi-centre, multi-national data-base that linked clinical, bedside physiological and outcome data in paediatric brain trauma. This data base closes the big data loop by promoting use of routinely collected clinical and physiological big data for research and quality improvement. |
| Description | A Window in the Brain 2: Novel Quantitative Seizure Detection Tool for Paediatric Critical Care. A Multi-Centre Feasibility Study |
| Organisation | Brainsview Inc |
| Country | Canada |
| Sector | Private |
| PI Contribution | I built this research collaboration with an initial idea of the need to develop an innovative quantitative seizure detection tool that may be clinically useful in paediatric critical care. I then formed the partnership with industry (Brainsviews Inc.), academic colleagues in School of Engineering (University of Edinburgh), and NHS Lothian (Royal Hospital for Sick Children, the Combined Paediatric Neuroscience Services). I am the chief investigator of this partnership driving the scientific direction and potential clinical translation. I am the Chief Investigator on this new CSO grant (TCS/21/30) that will drive the expansion of the collaboration with other health boards and academic centres across the UK. |
| Collaborator Contribution | Brainsviews Inc. provided a copy of their brain connectivity assessment software which may be adapted for seizure detection in a quantitative manner. School of Engineering (Dr. Escudero and Dr. Abdullateef) provides signal processing expertise to the processed data to enhance seizure detection ability. Dr. McLellan (NHS Lothian, Royal Hospital for Sick Children) provides clinical neurology (especially seizure detection) expertise. |
| Impact | 1) Secured funding via the Chief Scientist Office Translational Clinical Science grants. 2) Due to build the first multi-centre paediatric specific fully anonymised EEG databank for research use |
| Start Year | 2019 |
| Description | A Window in the Brain 2: Novel Quantitative Seizure Detection Tool for Paediatric Critical Care. A Multi-Centre Feasibility Study |
| Organisation | NHS Lothian |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | I built this research collaboration with an initial idea of the need to develop an innovative quantitative seizure detection tool that may be clinically useful in paediatric critical care. I then formed the partnership with industry (Brainsviews Inc.), academic colleagues in School of Engineering (University of Edinburgh), and NHS Lothian (Royal Hospital for Sick Children, the Combined Paediatric Neuroscience Services). I am the chief investigator of this partnership driving the scientific direction and potential clinical translation. I am the Chief Investigator on this new CSO grant (TCS/21/30) that will drive the expansion of the collaboration with other health boards and academic centres across the UK. |
| Collaborator Contribution | Brainsviews Inc. provided a copy of their brain connectivity assessment software which may be adapted for seizure detection in a quantitative manner. School of Engineering (Dr. Escudero and Dr. Abdullateef) provides signal processing expertise to the processed data to enhance seizure detection ability. Dr. McLellan (NHS Lothian, Royal Hospital for Sick Children) provides clinical neurology (especially seizure detection) expertise. |
| Impact | 1) Secured funding via the Chief Scientist Office Translational Clinical Science grants. 2) Due to build the first multi-centre paediatric specific fully anonymised EEG databank for research use |
| Start Year | 2019 |
| Description | A Window in the Brain 2: Novel Quantitative Seizure Detection Tool for Paediatric Critical Care. A Multi-Centre Feasibility Study |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I built this research collaboration with an initial idea of the need to develop an innovative quantitative seizure detection tool that may be clinically useful in paediatric critical care. I then formed the partnership with industry (Brainsviews Inc.), academic colleagues in School of Engineering (University of Edinburgh), and NHS Lothian (Royal Hospital for Sick Children, the Combined Paediatric Neuroscience Services). I am the chief investigator of this partnership driving the scientific direction and potential clinical translation. I am the Chief Investigator on this new CSO grant (TCS/21/30) that will drive the expansion of the collaboration with other health boards and academic centres across the UK. |
| Collaborator Contribution | Brainsviews Inc. provided a copy of their brain connectivity assessment software which may be adapted for seizure detection in a quantitative manner. School of Engineering (Dr. Escudero and Dr. Abdullateef) provides signal processing expertise to the processed data to enhance seizure detection ability. Dr. McLellan (NHS Lothian, Royal Hospital for Sick Children) provides clinical neurology (especially seizure detection) expertise. |
| Impact | 1) Secured funding via the Chief Scientist Office Translational Clinical Science grants. 2) Due to build the first multi-centre paediatric specific fully anonymised EEG databank for research use |
| Start Year | 2019 |
| Description | A window in the brain: Developing novel quantitative seizure detection tool for paediatric critical care |
| Organisation | Brainsview Inc |
| Country | Canada |
| Sector | Private |
| PI Contribution | I built this research collaboration with an initial idea of the need to develop an innovative quantitative seizure detection tool that may be clinically useful in paediatric critical care. I then formed the partnership with industry (Brainsviews Inc.), academic colleagues in School of Engineering, and NHS Lothian (Royal Hospital for Sick Children, the Combined Paediatric Neuroscience Services). I am the chief investigator of this partnership driving the scientific direction and potential clinical translation. |
| Collaborator Contribution | Brainsviews Inc. provided a copy of their brain connectivity assessment software which may be adapted for seizure detection in a quantitative manner. School of Engineering (Dr. Escudero) provides signal processing expertise to the processed data to enhance seizure detection ability. Dr. McLellan (NHS Lothian, Royal Hospital for Sick Children) provides clinical neurology (especially seizure detection) expertise. |
| Impact | (1) Secured grant funding via MRC Confidence in Concept stream funding. (2) Due to open for data extraction and analyses. |
| Start Year | 2019 |
| Description | A window in the brain: Developing novel quantitative seizure detection tool for paediatric critical care |
| Organisation | NHS Lothian |
| Department | Women and Children |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | I built this research collaboration with an initial idea of the need to develop an innovative quantitative seizure detection tool that may be clinically useful in paediatric critical care. I then formed the partnership with industry (Brainsviews Inc.), academic colleagues in School of Engineering, and NHS Lothian (Royal Hospital for Sick Children, the Combined Paediatric Neuroscience Services). I am the chief investigator of this partnership driving the scientific direction and potential clinical translation. |
| Collaborator Contribution | Brainsviews Inc. provided a copy of their brain connectivity assessment software which may be adapted for seizure detection in a quantitative manner. School of Engineering (Dr. Escudero) provides signal processing expertise to the processed data to enhance seizure detection ability. Dr. McLellan (NHS Lothian, Royal Hospital for Sick Children) provides clinical neurology (especially seizure detection) expertise. |
| Impact | (1) Secured grant funding via MRC Confidence in Concept stream funding. (2) Due to open for data extraction and analyses. |
| Start Year | 2019 |
| Description | A window in the brain: Developing novel quantitative seizure detection tool for paediatric critical care |
| Organisation | University of Edinburgh |
| Department | School of Engineering |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I built this research collaboration with an initial idea of the need to develop an innovative quantitative seizure detection tool that may be clinically useful in paediatric critical care. I then formed the partnership with industry (Brainsviews Inc.), academic colleagues in School of Engineering, and NHS Lothian (Royal Hospital for Sick Children, the Combined Paediatric Neuroscience Services). I am the chief investigator of this partnership driving the scientific direction and potential clinical translation. |
| Collaborator Contribution | Brainsviews Inc. provided a copy of their brain connectivity assessment software which may be adapted for seizure detection in a quantitative manner. School of Engineering (Dr. Escudero) provides signal processing expertise to the processed data to enhance seizure detection ability. Dr. McLellan (NHS Lothian, Royal Hospital for Sick Children) provides clinical neurology (especially seizure detection) expertise. |
| Impact | (1) Secured grant funding via MRC Confidence in Concept stream funding. (2) Due to open for data extraction and analyses. |
| Start Year | 2019 |
| Description | Accelerating clinical translation of novel brain connectivity analysis |
| Organisation | Brainsview Inc |
| Country | Canada |
| Sector | Private |
| PI Contribution | (1) A two-way personnel exchange: the KidsBrainIT team visits Brainsview Inc. in Toronto to start the collaboration bringing back Brainsview's novel analytical solution that measures brain function connectivity. (2) KidsBrainIT and Brainsview Inc. work together remotely to customise the analytical solution to recognise and analyse the routinely collected 4 channels brain wave (EEG) data in Edinburgh paediatric intensive care unit (ICU). (3) Host the first multi-disciplinary BrainIT ICU health care 'data-thon' to facilitate clinical, academic, and industry collaboration. |
| Collaborator Contribution | (1) A two-way personnel exchange: the KidsBrainIT team visits Brainsview Inc. in Toronto to start the collaboration bringing back Brainsview's novel analytical solution that measures brain function connectivity. (2) KidsBrainIT and Brainsview Inc. work together remotely to customise the analytical solution to recognise and analyse the routinely collected 4 channels brain wave (EEG) data in Edinburgh paediatric intensive care unit (ICU). (3) The Brainsview Inc. scientific director (and company founder) attended Edinburgh in early December to work with the KidsBrainIT group and actively contributed to the first BrainIT ICU health care 'data-thon' to showcase how industry collaboration with academic and clinical settings may accelerate clinical translations and develop bespoke solutions to front-line clinicians using routinely generated health care big data within adult and paediatric ICU. |
| Impact | The First BrainIT multi-disciplinary Data-thon Establishing the first base for novel brain functional connectivity assessment for Europe in Edinburgh |
| Start Year | 2018 |
| Description | Functional brain connectivity and neuro-developmental outcome assessments in paediatric brain trauma |
| Organisation | Brainview Inc. |
| Country | Belgium |
| Sector | Private |
| PI Contribution | Our team brings expertise and intellectual input in clinical care of paediatric brain trauma, bedside physiological monitoring interface and data extraction, multi-disciplinary, multi-centre, and multi-national research consortium (KidsBrainIT) to this partnership. |
| Collaborator Contribution | Prof. O'Hare's group from University of Edinburgh brings expertise and intellectual input in neuro-developmental assessments to the partnership. Dr. Browning brings expertise and intellectual input in paediatric emergency medicine to the partnership. Dr. Nedadovic of Brainview Inc. brings novel data analytic and equipment solutions for assessing brain connectivity. |
| Impact | No output has resulted from this partnership yet. This is a multi-disciplinary collaboration which includes clinical (both acute care including paediatric emergency medicine and paediatric intensive care and neurodevelopmental outcome assessment in the post-acute care setting), health care scientist and information technology, and industry (Brainview Inc.). |
| Start Year | 2018 |
| Description | Functional brain connectivity and neuro-developmental outcome assessments in paediatric brain trauma |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Our team brings expertise and intellectual input in clinical care of paediatric brain trauma, bedside physiological monitoring interface and data extraction, multi-disciplinary, multi-centre, and multi-national research consortium (KidsBrainIT) to this partnership. |
| Collaborator Contribution | Prof. O'Hare's group from University of Edinburgh brings expertise and intellectual input in neuro-developmental assessments to the partnership. Dr. Browning brings expertise and intellectual input in paediatric emergency medicine to the partnership. Dr. Nedadovic of Brainview Inc. brings novel data analytic and equipment solutions for assessing brain connectivity. |
| Impact | No output has resulted from this partnership yet. This is a multi-disciplinary collaboration which includes clinical (both acute care including paediatric emergency medicine and paediatric intensive care and neurodevelopmental outcome assessment in the post-acute care setting), health care scientist and information technology, and industry (Brainview Inc.). |
| Start Year | 2018 |
| Description | Intensive Share: Developing a Patient Public Involvement Group for Paediatric Critical Care |
| Organisation | Edinburgh Children's Hospital Charity |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Within the Edinburgh-led international paediatric critical care unit (PCCU) research team that I lead (IMPACT-ACE), I operate an open collaborative approach and I have worked with the team to create the first Scottish paediatric critical care Patient and Public Involvement (PPI) group. We hope that the group provides PCCU researchers with opportunities to engage and learn from PPI members' perspective when conducting research and to empower children, young people and families to have a voice in PCCU research and develop new skills. I was a co-applicant on a successful application to the University of Edinburgh Public Engagement with Research seed fund, which allowed our team to work with partners to develop and launch the PPI group. |
| Collaborator Contribution | Clinicians (NHS Lothian), academics (University of Edinburgh) and third sector partners (Edinburgh Children's Hospital Charity) have formed a partnership and successfully applied for funding to develop and launch the PPI group. Partners worked together to develop, promote and launch the PPI group; and we have identified and completed a number of PPI activities. These have included, lay contributions towards grant application and study methodologies, co-creation of study participant documents, and research dissemination to the public (public facing website). |
| Impact | Secured funding from the University of Edinburgh College of Medicine and Veterinary Medicine (CMVM) Public Engagement with Research Seed Fund to develop and launch the Patient and Public Engagement Group for paediatric critical care. Successfully launched the PPI Group (Intensive-Share), enrolling 7 families in the first Scottish paediatric critical care PPI group. Applied for funding to the Public Engagement Fund - Research Data Scotland to co-develop an information tool with families with lived experience so that other families can better understand health data research in paediatric critical care. |
| Start Year | 2021 |
| Description | Intensive Share: Developing a Patient Public Involvement Group for Paediatric Critical Care |
| Organisation | NHS Lothian |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Within the Edinburgh-led international paediatric critical care unit (PCCU) research team that I lead (IMPACT-ACE), I operate an open collaborative approach and I have worked with the team to create the first Scottish paediatric critical care Patient and Public Involvement (PPI) group. We hope that the group provides PCCU researchers with opportunities to engage and learn from PPI members' perspective when conducting research and to empower children, young people and families to have a voice in PCCU research and develop new skills. I was a co-applicant on a successful application to the University of Edinburgh Public Engagement with Research seed fund, which allowed our team to work with partners to develop and launch the PPI group. |
| Collaborator Contribution | Clinicians (NHS Lothian), academics (University of Edinburgh) and third sector partners (Edinburgh Children's Hospital Charity) have formed a partnership and successfully applied for funding to develop and launch the PPI group. Partners worked together to develop, promote and launch the PPI group; and we have identified and completed a number of PPI activities. These have included, lay contributions towards grant application and study methodologies, co-creation of study participant documents, and research dissemination to the public (public facing website). |
| Impact | Secured funding from the University of Edinburgh College of Medicine and Veterinary Medicine (CMVM) Public Engagement with Research Seed Fund to develop and launch the Patient and Public Engagement Group for paediatric critical care. Successfully launched the PPI Group (Intensive-Share), enrolling 7 families in the first Scottish paediatric critical care PPI group. Applied for funding to the Public Engagement Fund - Research Data Scotland to co-develop an information tool with families with lived experience so that other families can better understand health data research in paediatric critical care. |
| Start Year | 2021 |
| Description | Intensive Share: Developing a Patient Public Involvement Group for Paediatric Critical Care |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Within the Edinburgh-led international paediatric critical care unit (PCCU) research team that I lead (IMPACT-ACE), I operate an open collaborative approach and I have worked with the team to create the first Scottish paediatric critical care Patient and Public Involvement (PPI) group. We hope that the group provides PCCU researchers with opportunities to engage and learn from PPI members' perspective when conducting research and to empower children, young people and families to have a voice in PCCU research and develop new skills. I was a co-applicant on a successful application to the University of Edinburgh Public Engagement with Research seed fund, which allowed our team to work with partners to develop and launch the PPI group. |
| Collaborator Contribution | Clinicians (NHS Lothian), academics (University of Edinburgh) and third sector partners (Edinburgh Children's Hospital Charity) have formed a partnership and successfully applied for funding to develop and launch the PPI group. Partners worked together to develop, promote and launch the PPI group; and we have identified and completed a number of PPI activities. These have included, lay contributions towards grant application and study methodologies, co-creation of study participant documents, and research dissemination to the public (public facing website). |
| Impact | Secured funding from the University of Edinburgh College of Medicine and Veterinary Medicine (CMVM) Public Engagement with Research Seed Fund to develop and launch the Patient and Public Engagement Group for paediatric critical care. Successfully launched the PPI Group (Intensive-Share), enrolling 7 families in the first Scottish paediatric critical care PPI group. Applied for funding to the Public Engagement Fund - Research Data Scotland to co-develop an information tool with families with lived experience so that other families can better understand health data research in paediatric critical care. |
| Start Year | 2021 |
| Description | KidsBrainIT-2: Using data science to improve paediatric acquired brain injury care and outcome |
| Organisation | Aga Khan University Hospital |
| Country | Pakistan |
| Sector | Hospitals |
| PI Contribution | I will drive the expansion of the KidsBrainIT consortium to include partners from Lower Middle Income Countries; and I will work with existing and new partners to validate and expand the KidsBrainIT dataset, and develop new methodology and datasets. |
| Collaborator Contribution | New and existing partners will contribute to new grant applications (KidsBrainIT-2) to validate findings from KidsBrainIT-1 and determine, develop and validate new outcomes and methodologies. Partners will contribute expertise and fully-anonymised datasets. |
| Impact | Outcomes pending - grant application to the Neuroscience and Mental Health Research Board (MRC) in progress. |
| Start Year | 2021 |
| Description | KidsBrainIT-2: Using data science to improve paediatric acquired brain injury care and outcome |
| Organisation | Brainsview Inc |
| Country | Canada |
| Sector | Private |
| PI Contribution | I will drive the expansion of the KidsBrainIT consortium to include partners from Lower Middle Income Countries; and I will work with existing and new partners to validate and expand the KidsBrainIT dataset, and develop new methodology and datasets. |
| Collaborator Contribution | New and existing partners will contribute to new grant applications (KidsBrainIT-2) to validate findings from KidsBrainIT-1 and determine, develop and validate new outcomes and methodologies. Partners will contribute expertise and fully-anonymised datasets. |
| Impact | Outcomes pending - grant application to the Neuroscience and Mental Health Research Board (MRC) in progress. |
| Start Year | 2021 |
| Description | KidsBrainIT-2: Using data science to improve paediatric acquired brain injury care and outcome |
| Organisation | UZ Leuven, Belgium |
| Country | Belgium |
| Sector | Hospitals |
| PI Contribution | I will drive the expansion of the KidsBrainIT consortium to include partners from Lower Middle Income Countries; and I will work with existing and new partners to validate and expand the KidsBrainIT dataset, and develop new methodology and datasets. |
| Collaborator Contribution | New and existing partners will contribute to new grant applications (KidsBrainIT-2) to validate findings from KidsBrainIT-1 and determine, develop and validate new outcomes and methodologies. Partners will contribute expertise and fully-anonymised datasets. |
| Impact | Outcomes pending - grant application to the Neuroscience and Mental Health Research Board (MRC) in progress. |
| Start Year | 2021 |
| Description | KidsBrainIT-2: Using data science to improve paediatric acquired brain injury care and outcome |
| Organisation | University of Cape Town |
| Country | South Africa |
| Sector | Academic/University |
| PI Contribution | I will drive the expansion of the KidsBrainIT consortium to include partners from Lower Middle Income Countries; and I will work with existing and new partners to validate and expand the KidsBrainIT dataset, and develop new methodology and datasets. |
| Collaborator Contribution | New and existing partners will contribute to new grant applications (KidsBrainIT-2) to validate findings from KidsBrainIT-1 and determine, develop and validate new outcomes and methodologies. Partners will contribute expertise and fully-anonymised datasets. |
| Impact | Outcomes pending - grant application to the Neuroscience and Mental Health Research Board (MRC) in progress. |
| Start Year | 2021 |
| Description | KidsBrainIT-2: Using data science to improve paediatric acquired brain injury care and outcome |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I will drive the expansion of the KidsBrainIT consortium to include partners from Lower Middle Income Countries; and I will work with existing and new partners to validate and expand the KidsBrainIT dataset, and develop new methodology and datasets. |
| Collaborator Contribution | New and existing partners will contribute to new grant applications (KidsBrainIT-2) to validate findings from KidsBrainIT-1 and determine, develop and validate new outcomes and methodologies. Partners will contribute expertise and fully-anonymised datasets. |
| Impact | Outcomes pending - grant application to the Neuroscience and Mental Health Research Board (MRC) in progress. |
| Start Year | 2021 |
| Description | Paediatric intensive care physiological recording signal analysis for decision support & outcome prediction |
| Organisation | University of Edinburgh |
| Department | School of Engineering |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Our team provides access to high resolution data for analyses, and expertise in the clinical care of paediatric brain trauma and data extraction from bedside physiological monitors. |
| Collaborator Contribution | Our partner provides expertise and intellectual input in physiological variability analyses and development of data analysis tools to support clinical decision making and outcome prediction. |
| Impact | No output has resulted from this partnership yet. This is a multi-disciplinary partnership which includes clinical expertise in paediatric intensive care including neuro-intensive care, health care scientist and IT expertise in bedside monitoring interface and data extraction, and signal analysis and engineering expertise. |
| Start Year | 2018 |
| Description | 2017 Brochure for Academic and Clinical Central Office for Research & Development |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Supporters |
| Results and Impact | Our research group was featured in the 2017 ACCORD brochure which sparked interests from patient groups and other researchers within the region and beyond and generated discussions after the brochure was published. We are currently in discussions with other researchers to develop new research collaboration ideas. |
| Year(s) Of Engagement Activity | 2017,2018 |
| URL | http://accord.scot/about-accord |
| Description | BrainIT Annual Meeting 2022 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The BrainIT Annual Meeting (2022) was held remotely in November and was attended by over 30 researchers from across the world. KidsBrainIT was a featured project and a number of partners shared their findings and invited discussion from the group. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Bristol Paediatric Neurocritical Care Study Day |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presenting KidsBrainIT work and how to set up a research group at the Bristol Paediatric Neurocritical Care Study Day. Participants from a number of clinical and academic specialties attended the session which sparked brainstorming and question and answers. It also provided a networking opportunity with new clinicians and strengthened relationships with existing collaborators. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Data science student workshop |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Postgraduate students |
| Results and Impact | My presentation to showcase KidsBrainIT and IMPACT-ACE research work sparked questions and discussions from post-graduate students, professional practitioners, and industry partners. The local department reported an increased interest in related subjects. |
| Year(s) Of Engagement Activity | 2020 |
| Description | ERA-NET NEURON Half-term symposium |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr. Lo delivered a presentation reporting on progress and summarising the achievement of KidsBrainIT consortium. The presentation was well received and Dr. Lo was congratulated on how much KidsBrainIT has achieved in a very short space of time. It has additionally generated interests for other groups to collaborate with KidsBrainIT. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Improvement research programme welcome event |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr. Lo was invited to showcase KidsBrainIT's work at an open / drop in wholeday event at the Royal Hospital for Sick Children in Edinburgh. There were posters displayed, informal discussions with audience who included professional practitioners, general public, patients and carers, and charity staff. Dr Lo was congratulated on the important work of KidsBrainIT and generated funding interests from charities, and collaboration opportunities. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Indian Paediatric Intensive Society E-Gurukul |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presenting KidsBrainIT work and how to set up a research group to the E-gurukul seminar session. Over 600 participants from India, Pakistan, Indonesia, and Singapore attended the session which sparked a brainstorming, questions and answers session afterward. It also provided an outstanding networking opportunity with many senior clinicians contacting me wanting to collaborate. |
| Year(s) Of Engagement Activity | 2021 |
| Description | Intensive-Share PPI Group Launch Event |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Patients, carers and/or patient groups |
| Results and Impact | Interactive workshops for families with lived experience of paediatric critical care to share current research and discuss opportunities for patient and public involvement in paediatric critical care research. 4 families (7 adults and 12 children and young people) attended. 7 families have enrolled in the Intensive Share PPI Group. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.ed.ac.uk/inflammation-research/news-events/cir-launches-intensive-share-project |
| Description | IntoUniversity Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | This is an outreach workshop to introduce Biomedical Engineering to school pupils (aged between 7 and 12 years old). Dr Abdullateef will share her research on non-invasive seizure detection using electroencephalograms. The workshop is expected to host around 30 children. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Invited seminar |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | We were invited to deliver a seminar on KidsBrainIT's work so that we may facilitate future collaborations and raise awareness and engagement of our research group. The seminar sparked questions and discussions afterwards and we are now planning future collaborations with their group. |
| Year(s) Of Engagement Activity | 2018,2019 |
| Description | Invited speaker - NRS (NHS Research Scotland) Annual Scientific Conference |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr. Lo was invited to speak about KidsBrainIT and how important it is to make better use of routinely collected clinical and physiological big data for research and quality improvement. The talk generated a huge amount of interests and discussions, new collaborations are started. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Invited talk to Charity / potential funders |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Supporters |
| Results and Impact | Dr Lo was invited to meet with the board of directors from a local charity to raise awareness of the excellent work of KidsBrainIT. This increased interests in using routinely collected clinical and physiological big data for research and quality improvement. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Patient group workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Patients, carers and/or patient groups |
| Results and Impact | Dr Lo was invited to engage in a workshop with carers and patients who survived brain trauma as a child to discuss KidsBrainIT and how to use routinely collected clinical and physiological big data for research to improve future patient care and outcome. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Presentation at the British Paediatric Neurology Association Annual Conference (2023) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Lo gave an oral presentation entitled "Working together in the acute management of childhood head injury - the PICU and neurosurgical perspective". |
| Year(s) Of Engagement Activity | 2023 |
| Description | Presentation at the International Symposium on Intracranial Pressure and Brain Monitoring (ICP) 2022 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Researchers from the KidsBrainIT Consortium (represented by Dr Kempen, KU Leuven Group) were invited to present at the ICP 2022 International Symposium in South Africa. Two oral presentations of work from the KidsBrainIT project were delivered: "KidsBrainIT: Visualization of the impact of cerebral perfusion pressure insult intensity and duration on childhood brain trauma outcome." "KidsBrainIT: Intracranial hypertension dose response and outcome in childhood brain trauma." |
| Year(s) Of Engagement Activity | 2022 |
| Description | Presentation at the World Federation of Pediatric and Intensive and Critical Care Societies (WFPICCS) Conference 2022 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Lo and members of her team (Dr Abdullateef and Dr Palmer) were invited to give oral presentations at the WFPICCS Congress IN 2022. Dr Lo delivered oral and poster presentations on the KidsBrainIT project: "Intracranial Hypertension Dose Response and Outcome in Childhood Brain Trauma" "Visualisation of the Impact of Cerebral Perfusion Pressure Insult Intensity and Duration on Childhood Brain Trauma Outcome. A Multi-national, Multi-centre Data Informatics Study" |
| Year(s) Of Engagement Activity | 2022 |
| Description | Researcher-Clinician Engagement Session |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | This single centre engagement event allowed WiB researchers and frontline clinicians to discuss the clinical need for an objective seizure detection algorithm that can be interpreted by the bedside clinicians who are not neurology specialists. The WiB researchers showcase the WiB2 seizure detection algorithm and the PICU clinicians (our future end users) confirmed it would be highly useful at the bedside and would like to see a rapid clinical translation. |
| Year(s) Of Engagement Activity | 2022 |
| Description | School visit |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | I was invited to deliver a talk to secondary school pupils who are thinking about pursing a career in medicine on how I chose my career path and what my job entails. Following the talk, there was lots of questions and discussions afterwards, and the school reported how much the pupils enjoyed the discussions and honest answers to their questions. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Science Week Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Patients, carers and/or patient groups |
| Results and Impact | We will host an interactive session to promote science for children aged 7 or above who are attending or currently admitted to the Royal Hospital for Children and Young People (Edinburgh). Children will participate in interactive activities with neuroscience researchers to learn more about how the brain works. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Social media present |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | We have established a twitter and facebook page @KidsBrainIT to build a social media presence for our research group. This has sparked interests and questions on KidsBrainIT and what we are trying to achieve. Furthermore, discussions were generated and many professional practitioners are now in discussions with us to start collaborations. |
| Year(s) Of Engagement Activity | 2017,2018,2019 |
| URL | https://twitter.com/kidsbrainit?lang=en |
| Description | Website development for Window in the Brain research |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Patients, carers and/or patient groups |
| Results and Impact | We are currently developing a public-facing website for the Window in the Brain research. The purpose of the site is research engagement and dissemination and the site will provide information to for a number of audiences (academics, researchers, collaborators and members of the public). Content will include information on the project team and funders, past and current research activity, links to social media, publications, news and events, and opportunities for patient and public involvement. The website is being developed in collaboration with our Patient and Public Involvement Group. Outcomes/impact pending launch. |
| Year(s) Of Engagement Activity | 2021,2022,2023 |
| URL | http://www.ed.ac.uk/window-in-the-brain |