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How much can we trust electronic health record data? | JoVE Visualize

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Information And Computing Sciences

How much can we trust electronic health record data?

Samuel T Savitz¹, Lucy A Savitz², Neil S Fleming³

¹Kaiser Permanente Northern California Division of Research, USA.

Healthcare (Amsterdam, Netherlands)|September 13, 2020

View abstract on PubMed

Summary

Trust in electronic health record (EHR) data is crucial for research. Addressing limitations and increasing transparency can enhance the reliability and utility of EHR data for clinical and health services studies.

Area of Science:

Health Informatics
Clinical Research
Data Science

Background:

Electronic Health Record (EHR) data is increasingly vital for clinical and health services research.
Growing reliance on EHR data necessitates addressing existing distrust and limitations.

Purpose of the Study:

To discuss reasons for distrust in EHR data.
To acknowledge limitations of EHR data in research.
To propose strategies for enhancing trust in EHR data for research applications.

Main Methods:

Literature review and discussion of existing research practices.
Analysis of strengths and limitations of EHR data.
Identification of methods to address data quality and limitations.

Main Results:

EHR data offers greater clinical detail compared to administrative claims.
Many EHR data limitations are manageable through data quality checks and common data frameworks.
Increased transparency and targeted research priorities can mitigate EHR data limitations.

Conclusions:

Enhancing trust in EHR data is achievable through proactive measures.
Further research should focus on leveraging EHR strengths and mitigating weaknesses.
Greater transparency and standardized research approaches will improve EHR data utility.

Data Management And Data Science

Data Mining And Knowledge Discovery

How Much Can We Trust Electronic Health Record Data?