Gap between Money follows academic research universities for research. and practical research Clinicians not affiliated to Lack of data to spot colleges and struggle to opportunities for get funding predictive care No aggregated data to Don’t use existing provide predictive data (attendance data analytics for example) Fear of innovation, afraid Confusion about the of change exact definition of Privacy a limitation – innovation Support sustainability Stakeholder Data security dependent Alignment /partnership Health and with health environment being Cultural change (people, Doing something processes, technology, differently systems) Source of the problem to innovate in Difficult to agree success measures of innovation Visibility of issues (patients problems e.g. waiting list) Is innovation unwelcome today? If so, how and can we change this? Key Issues Challenges Strategies Other Lower down priorities Becoming flexible enough Increase incentives Publicise and the boat’ to adopt innovation when Publicize to increase awareness of incentivise within ‘Rocking Who are the decision it comes along programmes and supports health service to makers? Resistance to change, Multi-annual planning is important for reduce resistance How are those easier to with business and innovators. to change decisions made? incumbent Review of progress and value Slow progress Management level Benefits management planning Adoption is a problem Budgetary constraints Control of budget Aversion to risk More support for individuals Is innovation theory or practice? Key Issues Challenges Strategies Other Procurement Presenting solution to Clinical engagement Implementation Assessment patient Adoption process fixer Analysis Everyone has a day job Guided pathway HSE and hospital Solution Access to IT ecosystem Eliminate favouritism groups Deployment Data sharing More direct show Reimbursements and tell Accountability where – does the buck stop? Innovations small’ ‘too
Gap between academic research and practical research Lack of data to spot opportunities for predictive care Don’t use existing data (attendance data for example) Confusion about the exact definition of innovation Stakeholder dependent Health and Doing something differently Money follows universities for research. Clinicians not affiliated to colleges and struggle to get funding No aggregated data to provide predictive analytics Fear of innovation, afraid of change Privacy – a limitation Support sustainability Data security Alignment /partnership with health environment Cultural change (people, processes, technology, systems) Source of the problem to innovate in Difficult to agree success measures of innovation Visibility of issues (patients problems e.g. waiting list) Is innovation unwelcome today? If so, how and can we change this? Key Issues Challenges Strategies Other Lower down priorities ‘Rocking the boat’ Who are the decision makers? How are those decisions made? Slow progress Adoption is a problem Becoming flexible enough to adopt innovation when it comes along Resistance to change, easier to with incumbent Management level Budgetary constraints Control of budget Aversion to risk More support for individuals Increase incentives Publicize to increase awareness of programmes and supports Multi-annual planning is important for business and innovators. Review of progress and value Benefits management planning Publicise and incentivise within health service to reduce resistance to change Is innovation theory or practice? Key Issues Challenges Strategies Other Procurement Assessment Analysis Solution Deployment Presenting solution to patient Everyone has a day job Access to IT ecosystem Data sharing Reimbursements Accountability – where does the buck stop? Innovations ‘too small’ Clinical engagement Adoption process Guided pathway Eliminate favouritism Implementation fixer HSE and hospital groups More direct show and tell being
Roundtable-discussions.docx