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Electronic health records: current and future use.

Steve G Peters¹, Munawwar A Khan

¹Division of Pulmonary & Critical Care Medicine, College of Medicine, Mayo Clinic, 200 SW First Street, Rochester, MN 55905, USA.

Journal of Comparative Effectiveness Research

|October 29, 2014

Summary

The electronic medical record (EMR) is evolving from a practitioner-owned digital paper record to a shared electronic health record (EHR). This future EHR will empower patients and leverage big data for improved health management.

Keywords:

big data clinical decision support computerized provider order entry computerized records electronic health records electronic medical records population health population management practice analytics

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Area of Science:

Health Informatics
Digital Health
Medical Technology

Background:

Current electronic medical records (EMRs) largely mirror traditional paper records, maintained by practitioners.
Significant limitations exist in the current EMR system, hindering broader healthcare integration.

Purpose of the Study:

To provide an overview of the current state of electronic medical records.
To identify key factors driving the future development of electronic health records.
To explore the transition from EMR to a more integrated electronic health record (EHR) system.

Main Methods:

Literature review and analysis of current trends in health informatics.
Examination of technological and policy factors influencing healthcare data management.
Synthesis of expert opinions on the future of digital health records.

Main Results:

The EMR is transitioning towards a shared EHR model.
Future EHRs will actively engage patients in their care and decision-making.
Data analytics, population management, and individual decision support are key future functionalities.

Conclusions:

The evolution of EMR to EHR is driven by technological advancements and healthcare reform.
Patient engagement and data-driven insights will redefine healthcare delivery.
Key drivers include payment reform, mobile platforms, telemedicine, genomics, and big data analytics.