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Sharing clinical decisions for multimorbidity case management using social network and open-source tools
Alicia Martínez-García1, Alberto Moreno-Conde, Francisco Jódar-Sánchez
1Technological Innovation Group, Virgen del Rocío University Hospital, Manuel Siurot Avenue, s/n, 41013 Seville, Spain.
A new social network tool, the Clinical Wall, improves communication for multimorbidity patient care. This platform facilitates shared decision-making among healthcare professionals, showing positive acceptance in a pilot study.
Area of Science:
- Health Informatics
- Collaborative Healthcare
- Web 2.0 Technologies
Background:
- Social networks enhance health professional communication and coordination, crucial for complex multimorbidity patient care.
- Multimorbidity requires consensus among numerous healthcare professionals, highlighting the need for collaborative tools.
Purpose of the Study:
- To develop a collaborative work tool for healthcare professionals managing multimorbidity patients.
- To incorporate decision support functionalities into a social network for shared decision-making across care levels.
Main Methods:
- Development of the Shared Care Platform (SCP) with a social network component (Clinical Wall) and a Clinical Decision Support (CDS) system.
- Pilot study using a questionnaire based on the Technology Acceptance Model to assess healthcare professional acceptance and use of the SCP.
Main Results:
- The Clinical Wall component was deployed in a hospital and primary care centers for 6 months.
- 10 professionals generated 33 messages across 16 records, with 75% of records receiving responses.
- Professionals reported positive acceptance of the tool in the pilot study.
Conclusions:
- The Clinical Wall facilitates communication and coordination for multimorbidity patient care, supporting decisions on appointments, conditions, and prescriptions.
- Interoperability standards and open-source software integration are key for bridging knowledge and practice gaps.
- While initial usage metrics were moderate, the positive acceptance suggests future adoption, especially with integrated CDS tools.
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