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Documentation in Long-Term and Home Healthcare Setting01:29

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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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Toward Data-Informed Care in Long-Term Care: Qualitative Analysis.

Suleyman Bouchmal1, Katya Yj Sion1, Jan Ph Hamers1,2

  • 1Department of Health Services Research, Limburg Living Lab in Ageing and Long-Term Care, Maastricht University, Duboisdomein 30, Maastricht, 6229 GT, The Netherlands, 31 433882222.

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|September 12, 2025
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Summary

Implementing data-informed care in long-term care (LTC) requires improved data literacy and clear communication. Stakeholders believe data

Keywords:
cocreationdatadata-informedlong-term carequality of care

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Area of Science:

  • Healthcare Management
  • Data Science in Healthcare
  • Gerontology

Background:

  • Long-term care (LTC) collects diverse data on clients, staff, and operations.
  • Current understanding of introducing data-informed care in LTC to create value is limited.

Purpose of the Study:

  • To explore stakeholder experiences and perceptions of data and data-informed care in LTC.
  • To identify barriers and facilitators for implementing data-informed care.

Main Methods:

  • Qualitative study using the World Café cocreation technique with diverse LTC stakeholders (N=20).
  • Conventional content analysis of stakeholder notes and plenary summaries.

Main Results:

  • Stakeholders see data benefits outweighing risks, despite uncertainties.
  • Lack of data accessibility and uniformity hinders integration.
  • Data-informed care requires individual, collective, and organizational prerequisites.
  • Multidisciplinary collaboration enhances collective data knowledge.

Conclusions:

  • Enhancing data literacy and communication is crucial for data-informed care.
  • New roles like data scientists may be needed.
  • Data-informed care is a multidisciplinary approach vital for quality improvement.