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EMERSE: The Electronic Medical Record Search Engine.

David A Hanauer¹

¹Department of Pediatrics, Comprehensive Cancer Center, Univeristy of Michigan Medical School, Ann Arbor, Michigan, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|January 24, 2007

Summary

The Electronic Medical Record Search Engine (EMERSE) provides powerful, user-friendly searching of electronic health records. This tool aids in data abstraction for research and may support clinical care.

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Pattern-based Search of Epigenomic Data Using GeNemo

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Published on: October 8, 2017

Area of Science:

Health Informatics
Medical Data Management
Clinical Research Technology

Background:

Electronic medical records (EMR) generate vast amounts of unstructured text data.
Efficient retrieval of specific information from EMRs is crucial for research and clinical practice.
Existing search functionalities may be limited in handling complex queries within EMRs.

Purpose of the Study:

To introduce and describe the Electronic Medical Record Search Engine (EMERSE).
To highlight EMERSE's capabilities in searching free-text EMR documents.
To assess EMERSE's usability for various healthcare data needs.

Main Methods:

EMERSE is designed as an intuitive search engine for EMR free-text.
It supports complex query creation with an easy-to-use interface.
The system is suitable for users with varying levels of computer expertise.

Main Results:

EMERSE offers a powerful solution for navigating unstructured EMR data.
The engine balances sophisticated search options with user-friendliness.
It is effective for tasks such as retrospective chart reviews and data abstraction.

Conclusions:

EMERSE is a valuable tool for accessing and utilizing information within electronic medical records.
Its design facilitates efficient data abstraction and retrospective analysis.
Potential applications extend to improving clinical care through enhanced data access.