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Related Concept Videos

Methods of Documentation II: POMR01:26

Methods of Documentation II: POMR

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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Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care evaluation by...
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Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
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Related Experiment Video

Updated: May 24, 2026

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Integration of Patient-Reported Outcomes into the OMOP Common Data Model.

Adnan Jouned1, Laura Verbei2, Florian Katsch1

  • 1Institute of Medical Information Management, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

This study presents a method for incorporating Patient-Reported Outcomes into the Observational Medical Outcomes Partnership (OMOP) Common Data Model. While feasible, vocabulary limitations impact coverage, but careful annotation can reduce data loss.

Keywords:
CDMOMOP Common Data ModelPatient-Reported Outcomes

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Last Updated: May 24, 2026

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
06:05

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Published on: February 19, 2021

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
11:21

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Area of Science:

  • Health Informatics
  • Clinical Data Management
  • Observational Health Data Sciences and Information

Background:

  • Patient-Reported Outcomes (PROs) are crucial for understanding patient experiences.
  • Integrating PROs into standardized data models like OMOP is essential for large-scale analysis.
  • Existing OMOP Common Data Model implementations may not fully capture PRO nuances.

Purpose of the Study:

  • To develop and demonstrate an approach for integrating PRO data into the OMOP Common Data Model.
  • To assess the feasibility and limitations of this integration approach.
  • To identify strategies for minimizing information loss during PRO data integration.

Main Methods:

  • Development of a framework for mapping PRO data elements to OMOP CDM structures.
  • Utilizing specific annotations for outcome origin, negation, and temporal aspects.
  • Feasibility assessment through case studies or simulated data.

Main Results:

  • Demonstrated feasibility of integrating PROs into the OMOP CDM.
  • Identified vocabulary gaps as a primary constraint on comprehensive PRO coverage.
  • Showcased that considering outcome origin, negation, and temporal annotation minimizes information loss.

Conclusions:

  • The proposed approach enables PRO integration into the OMOP CDM.
  • Addressing vocabulary limitations is key to improving PRO data coverage.
  • Strategic data annotation is vital for preserving the integrity of PRO information within the OMOP CDM.