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The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.

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Updated: Jul 11, 2026

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

Challenges and methodology for indexing the computerized patient record.

Frédéric Ehrler¹, Patrick Ruch, Antoine Geissbuhler

¹Artificial Intelligence laboratory, University of Geneva, Geneva, Switzerland. ehrler@cui.unige.ch

Studies in Health Technology and Informatics

|October 4, 2007

Summary

Indexing patient records presents scalability challenges. This study highlights overhead issues with current information retrieval tools, suggesting a need for specialized indexing solutions for efficient healthcare data management.

Related Experiment Videos

Last Updated: Jul 11, 2026

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

Area of Science:

Health Informatics
Information Retrieval
Computer Science

Background:

Patient records are vital for healthcare management.
Efficient retrieval of patient health information is crucial for care providers.
Current information retrieval (IR) tools face scalability challenges with patient record data.

Purpose of the Study:

To investigate the scalability issues in indexing and retrieving information from patient records.
To evaluate the performance of the EasyIR information retrieval tool in this context.

Main Methods:

Utilized EasyIR, an information retrieval tool, for full-text queries.
Analyzed the performance of indexing and retrieval processes.
Examined the impact of the unique structure of patient records on indexing.

Main Results:

The indexing process for patient records incurs significant overhead.
Existing IR tools, designed for large single indexes, are not optimal for a one-index-per-record approach.
The structure of patient records leads to performance inefficiencies.

Conclusions:

A specialized and efficient indexing tool is necessary for managing the high volume of daily patient record modifications and creations.
Current IR systems require adaptation or specialized solutions to handle the unique indexing demands of electronic health records.
Optimizing the indexing strategy is key to improving the speed and safety of accessing patient health information.