AI Article Synopsis
- Using a lot of Electronic Health Record (EHR) data is really important for studying how to improve healthcare.
- Doctors play a key role in this because they add their own knowledge when they record patient information in EHR systems, but current studies don’t always recognize their input.
- The authors of this paper created a new tool called PhyC that helps doctors use EHR data better, and tests showed it works well for helping diagnose different diseases compared to other models.
Article Abstract
The utilization of vast amounts of EHR data is crucial to the studies in medical informatics. Physicians are medical participants who directly record clinical data into EHR with their personal expertise, making their roles essential in follow-up data utilization, which current studies have yet to recognize. This paper proposes a physician-centered perspective for EHR data utilization and emphasizes the feasibility and potentiality of digging into physicians' latent decision patterns in EHR. To support our proposal, we design a physician-centered CDS approach named PhyC and test it on a real-world EHR dataset. Experiments show that PhyC performs significantly better in the auxiliary diagnosis of multiple diseases than globally learned models. Discussions on experimental results suggest that physician-centered data utilization can help to derive more objective CDS models, while more means for utilization need further exploration.
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| http://dx.doi.org/10.3233/SHTI231061 | DOI Listing |
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