Challenges and recommendations for high quality research using electronic health records

Area of Science:

• Health Informatics
• Clinical Research
• Data Science

Background:

• Electronic Health Records (EHRs) offer valuable patient-centered data reflecting real-world health system status.
• Challenges exist in accessing and utilizing EHR data for research purposes.
• Current research practices may not fully exploit the potential of EHR data.

Purpose of the Study:

• To highlight the critical need for synergy between researchers, clinicians, and health informaticians for effective EHR data utilization.
• To advocate for a paradigm shift in research methodology, embracing an iterative approach over a linear one.
• To provide organizational recommendations for developing and using EHR data in trusted research environments.

Main Methods:

• The study emphasizes a collaborative approach involving researchers, clinicians, and health informaticians.
• It proposes a shift from linear to iterative research processes for EHR data analysis.
• Recommendations are based on practical experience in developing and utilizing EHR data within trusted research environments.

Main Results:

• Effective utilization of EHR data necessitates strong collaboration among diverse expertise.
• An iterative research model is more suitable for harnessing the complexities of EHR data.
• Trusted research environments are crucial for secure and effective EHR data handling.

Conclusions:

• Synergy between researchers, clinicians, and informaticians is paramount for advancing healthcare through EHR data.
• Adopting an iterative research framework will enhance the ability to answer critical patient care questions.
• Implementing specific organizational strategies can optimize the use of EHR data in research.