Back to Search
Start Over
Improving uptake of population health management through scalable analysis of linked electronic health data.
- Source :
-
Health Informatics Journal . Jul-Sep2024, Vol. 30 Issue 3, p1-15. 15p. - Publication Year :
- 2024
-
Abstract
- Population Health Management – often abbreviated to PHM – is a relatively new approach for healthcare planning, requiring the application of analytical techniques to linked patient level data. Despite expectations for greater uptake of PHM, there is a deficit of available solutions to help health services embed it into routine use. This paper concerns the development, application and use of an interactive tool which can be linked to a healthcare system's data warehouse and employed to readily perform key PHM tasks such as population segmentation, risk stratification, and deriving various performance metrics and descriptive summaries. Developed through open-source code in a large healthcare system in South West England, and used by others around the country, this paper demonstrates the importance of a scalable, purpose-built solution for improving the uptake of PHM in health services. [ABSTRACT FROM AUTHOR]
- Subjects :
- *RISK assessment
*PUBLIC health surveillance
*COST control
*DATABASE management
*HUMAN services programs
*MENTAL health services
*SYSTEMS design
*COVID-19 vaccines
*HEALTH planning
*ELECTRONIC data interchange
*ELECTRONIC health records
*SYSTEM integration
*DECISION trees
*SOFTWARE architecture
*HEALTH equity
*MEDICAL care costs
POPULATION health management
Subjects
Details
- Language :
- English
- ISSN :
- 14604582
- Volume :
- 30
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Health Informatics Journal
- Publication Type :
- Academic Journal
- Accession number :
- 178804861
- Full Text :
- https://doi.org/10.1177/14604582241259344