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Real-World Data for Interdisciplinary Health Care Research: A Case Example.

Eun-Shim Nahm1, Shijun Zhu, Kristin Seidl

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Summary
This summary is machine-generated.

Real-world data (RWD) from diverse sources offer a comprehensive view of patient health, advancing health care research and practice. Nurse researchers can lead in leveraging RWD due to their expertise with these data types.

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Area of Science:

  • Health Informatics
  • Data Science in Healthcare
  • Nursing Research

Background:

  • Real-world data (RWD) are routinely collected health information from sources like electronic health records and claims data.
  • Integrating data from multiple sources provides a holistic view of individual and population health.
  • The digital health era and value-based care necessitate the use of RWD for research and practice advancement.

Purpose of the Study:

  • To introduce the application of RWD in health care research.
  • To present a case study on curating and merging RWD from disparate sources.
  • To highlight the advantages and challenges associated with RWD utilization.

Main Methods:

  • Data curation techniques for heterogeneous health data.
  • Methodologies for merging data from electronic health records, claims, and patient-generated sources.
  • Analysis of benefits and limitations encountered during RWD integration.

Main Results:

  • Demonstrated successful data curation and merging from multiple RWD sources.
  • Identified key benefits including enhanced patient profiling and research insights.
  • Outlined significant limitations such as data variability and interoperability challenges.

Conclusions:

  • RWD integration is crucial for advancing health care research and practice.
  • Nurse researchers are well-positioned to lead in RWD utilization due to their data familiarity.
  • Effective RWD management requires robust curation and merging strategies.