Essential questions: accuracy, errors and user perceptions in a drag/drop user-composable electronic health record.

Area of Science:

• Health Informatics
• Human-Computer Interaction
• Clinical Decision Support

Background:

• Electronic health records (EHRs) are crucial for modern healthcare delivery.
• User-composable EHRs offer potential for improved workflow and efficiency.
• Assessing the accuracy, error potential, and user perception of novel EHR designs is essential.

Purpose of the Study:

• To evaluate the accuracy and error profiles of the MedWISE user-composable EHR.
• To assess clinician user perceptions of MedWISE's ease of use and usefulness.
• To compare MedWISE performance and user experience against a conventional EHR system.

Main Methods:

• A mixed-methods laboratory study was conducted with 18 clinicians at an academic medical center.
• 12 clinicians used the MedWISE system, while 6 used a conventional EHR.
• Data collection included assessment accuracy, error analysis, and user perception surveys (Likert scale).

Main Results:

• MedWISE users exhibited comparable assessment accuracy to conventional system users.
• A low risk of diagnosis momentum error (1/10) was observed with MedWISE.
• Users rated ease of use (3.79/5) and usefulness (4.00/5) favorably, with 10/12 reporting reduced cognitive workload.

Conclusions:

• The MedWISE user-composable EHR is accurate and perceived positively by clinicians.
• The system offers benefits in terms of cognitive load reduction and usability.
• Further methods are suggested for elucidating risks in both innovative and current EHR systems.