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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Informatics and operations--let's get integrated.

Keith Marsolo¹

¹Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA. keith.marsolo@cchmc.org

Journal of the American Medical Informatics Association : JAMIA

|September 4, 2012

Summary

This summary is machine-generated.

Commercial electronic health records (EHRs) create data silos, hindering research integration. Collaboration between clinical operations and informatics is crucial for high-quality data collection and EHR system openness.

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Last Updated: May 19, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Area of Science:

Health Informatics
Clinical Informatics
Biomedical Research

Background:

Commercial electronic health records (EHRs) are widely adopted but function as closed systems.
This 'walled garden' approach restricts the integration of external tools and services, impeding clinical research.
A disconnect exists between clinical operations staff and informatics teams supporting EHRs.

Purpose of the Study:

To highlight the challenges posed by commercial EHRs to informatics and research.
To advocate for closer collaboration between clinical operations and informatics.
To call for EHR vendors to open their systems for better research integration.

Main Methods:

Analysis of the current state of EHR adoption and its impact on research.
Identification of barriers to integrating research interventions into clinical workflows.
Discussion of the need for architectural changes in EHR systems.

Main Results:

Commercial EHRs, in their current form, limit the diffusion of research interventions.
The separation of clinical operations and informatics hinders the collection of high-quality research data.
EHR systems require greater openness to facilitate external application integration.

Conclusions:

Enhanced collaboration between research informatics and clinical operations is essential for optimizing EHRs for research.
Lobbying EHR vendors to open their platforms is critical for advancing clinical informatics and research.
New EHR architectures are needed to support seamless integration of external tools and services.