Optimizing EHR Data
Electronic health records (EHRs) contribute to quality-of-care delivery directly. With a comprehensive and effective use of EHR data, healthcare providers can create precise, personalized treatment plans and seamlessly communicate across departments. By optimizing the data in a health system, clinical engineers can improve these processes and, subsequently, patient flow. This article combines case studies and existing research to explore the challenges and opportunities in current EHR data systems, how evolving artificial intelligence tools can be used to improve data utilization, and the importance of interoperability.
Authors
- Vijay Adapala
Institutions
- Global Water Partnership West Africa (BF)
Publication Details
- Journal
- Journal of Clinical Engineering
- Published
- 2024-09-17
- DOI
- https://doi.org/10.1097/jce.0000000000000663
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00