Identifying virtual care modality in electronic health record data
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View abstract on PubMed
Summary
This summary is machine-generated.Virtual care modalities like audio-only and video visits are crucial for safety net clinics. Inconsistent electronic health record (EHR) data can obscure usage, potentially worsening health inequities.
Area Of Science
- Health Informatics
- Healthcare Accessibility
- Digital Health Equity
Background
- The COVID-19 pandemic accelerated virtual care adoption, highlighting the need to understand different modalities (video, audio, eVisits, eConsults, remote patient monitoring).
- Inconsistent methods for identifying virtual care modalities within electronic health records (EHR) hinder accurate usage analysis.
- This study addresses the gap by developing a method to identify virtual care modalities and describing their distribution over time.
Purpose Of The Study
- To develop and validate a method for classifying virtual care modalities using EHR data.
- To describe the distribution of virtual care modalities in primary care safety net clinics over a three-year period.
Main Methods
- Utilized EHR data from 316 primary care safety net clinics between April 2020 and March 2023.
- Developed two algorithms, informed by expert consultation, to classify virtual care visit modalities based on different EHR data elements.
- Conducted descriptive analyses to compare algorithm agreement and the frequency of different virtual care modalities.
Main Results
- Algorithms demonstrated high agreement (96.5% for all visits, 89.3% for virtual care visits).
- Discrepancies often occurred with audio-only visits billed as video visits.
- Audio-only visits were twice as common as video visits when algorithms agreed on modality.
Conclusions
- Virtual care modality classification is sensitive to the EHR data elements prioritized by algorithms.
- Safety net clinics heavily rely on audio-only and video visits for virtual care delivery.
- Potential elimination of reimbursement for audio-only visits could worsen health inequities for low-income populations.
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