<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/27B8EF0F-B848-4748-80FC-0E5D1F2BBCDB" ns1:id="27B8EF0F-B848-4748-80FC-0E5D1F2BBCDB"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/63D0AE10-2C59-4690-9549-BDF3D2F0B4BC" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/63D0AE10-2C59-4690-9549-BDF3D2F0B4BC" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2018-03-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/6D0238B1-F591-40D3-835B-52B010723613" ns1:rel="FUND" ns1:start="2017-03-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">102933</ns2:identifier></ns2:identifiers><ns2:title>Malinko Intelligent Scheduling System (MISS)</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Feasibility Studies</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>UK health/social care has unprecedented challenges: spending cuts &amp;amp; rising demand, e.g. the NHS is targeted for &amp;pound;22bn efficiency savings by 2020/21. A key area for this is increasing out-of-hospital care and community nursing is vital to this, but issues include a lack of clinical time, routinely working excess hours, poor admin/ICT support. Providing care effectively &amp;amp; efficiently is a dilemma, intelligent scheduling is key: the right nurses must be allocated &amp;amp; sufficient time to deliver the care required, at economically viable rates. Despite this &amp;amp; recommendations for community nursing teams to adopt tailored scheduling tools, many still rely on manual paper-based systems, causing: inability to identify where demand exceeds supply/to influence demand &amp;amp; predict activity, inconsistent workload across services, silo working &amp;amp; inappropriate skill use. This project is to develop Malinko Intelligent Scheduling Software so it is dynamic, flexible &amp;amp; highly configurable to process specific community care factors &amp;amp; disruptive events, for optimal community healthcare scheduling. This will enable intelligent scheduling &amp;amp; reductions in scheduling time, central office visits, travel &amp;amp; Did Not Attends (DNAs), thereby generating significant social, economic &amp;amp; environmental benefits.</ns2:abstractText></ns2:project>