Abstract
Background: Health and care systems worldwide face challenges from disruptive threats such as pandemics, natural disasters, and economic crises, among other short-term crises like heatwaves, power outage and cyberattacks. Resilience of health and care systems characterised by their ability to adapt and maintain services is crucial for coping with these threats and minimising adverse outcomes for people.
Introduction: Delivering high-quality health and care is inherently complex, requiring multi-disciplinary collaboration and coordination. The Covid-19 pandemic exposed weaknesses in existing health and care infrastructures and their business continuity capabilities.
DYNAMO is a European funded Pre Commercial Procurement project and the procurers are seeking a digital solution that can facilitate evidence based planning and modelling of adaptable, non-proprietary care pathways to facilitate health and care organisations to continue delivering planned and unplanned care services whilst in a crisis situation.
Approach: The project is in its second phase which is focusing on the 5 procurers from Treviso, Amadora, Catalonia, Olzstyn and West Wales, mapping their pathway crisis scenarios. A key task for the activity is identifying all the different data and information requirements necessary for generating redesigned pathways for the Local Modelling Group (decision-makers) to consider and agree their response as a crisis situation evolves and iteratively thereafter until the crisis situation abates.
Results: Analysis of existing care pathways reveals that the data and information from a variety of sources including health and care record and administration systems, staffing records, capital assets, medical devices, is required and these broadly fall into the following categories:
1 Care delivery settings such as hospitals, primary and community clinics, care homes, people's own homes, as well as the group(s) of people that receive care services in these settings.
2 Services delivered in each care setting - essential, non essential and frequency for whom.
3 Resources available such as radiology, pathology, medical devices, transport.
4 Staffing data and information including contracts, education/training/competencies.
5 Guidelines, protocols, training materials underpinning aspects of care delivery.
It is hoped that as much data and information as possible will be sourced from electronic records systems. However, the DYNAMO solution will also need to handle other formats including semantically structured data, manual data entry, optical character recognition (OCR) of typed, handwritten or printed text scanned from documents and spreadsheets.
Implications: The presentation will provide details of the data and information collated in each of the procurer sites, the integrity and quality of sources and discuss the implications of these findings for the DYNAMO solution modelling exercise which will take place in the third and final phase of the project commencing later in 2025.