Tracking referents in electronic health records

Area of Science:

• Health Informatics
• Clinical Data Management

Background:

• Electronic Health Records (EHRs) primarily document observations and performed actions.
• Current EHRs lack direct references to the patient's actual condition or treatments.
• Existing records focus on statements about events rather than the events themselves.

Purpose of the Study:

• To advocate for a new EHR paradigm centered on unique identification of clinical particulars.
• To enhance interoperability and precision in health data.
• To enable accurate tracking of disorders and treatment effects.

Main Methods:

• Proposing a shift towards uniquely identifying all clinically salient details within EHRs.
• Recommending identification of patient disorders, affected body parts, and administered treatments.
• Focusing on real-world clinical events for data linkage.

Main Results:

• Achieving true interoperability at the level of real-world clinical occurrences.
• Enabling precise and unambiguous tracking of specific disorders.
• Facilitating accurate monitoring of particular treatment outcomes.

Conclusions:

• A unique identification system for clinical particulars is essential for advancing EHR capabilities.
• This approach moves beyond recorded statements to represent actual patient health events.
• Enhanced EHRs will improve data accuracy, interoperability, and clinical research.