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Related Experiment Video

Updated: May 28, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Using electronically available inpatient hospital data for research.

Mandar Apte¹, Matthew Neidell, E Yoko Furuya

¹School of Nursing, Columbia University, New York, New York, USA.

Clinical and Translational Science

|October 28, 2011

Summary

This summary is machine-generated.

Researchers created a comprehensive patient record by linking electronic health records from various hospital sources. This rich dataset aids clinical research but faces challenges in data integration and quality.

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Area of Science:

Health Informatics
Clinical Research Data Management

Background:

Electronic health records (EHRs) are fragmented, lacking a unified view of a patient's hospital stay.
Existing healthcare data resides in disparate sources, hindering comprehensive patient analysis.

Purpose of the Study:

To describe a method for integrating diverse inpatient hospital data for research purposes.
To create a cohesive and comprehensive patient encounter dataset from electronic sources.

Main Methods:

Linked clinical, procedural, administrative, and accounting data using patient medical record numbers.
Compiled data from multiple extracted sources into a usable format for research.

Main Results:

Developed a rich dataset providing a comprehensive account of patient hospital courses.
Identified challenges including data access, secure storage, measure definition, data linkage, and missing data.

Conclusions:

The integrated dataset is valuable for clinical and comparative effectiveness research.
Linking hospital data presents significant challenges that must be addressed to improve patient care quality.