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Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed

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Summary

A new guideline addresses data quality for patient-generated health data (PGHD) from wearables in remote patient monitoring (RPM). This ensures trustworthy PGHD for reliable clinical decisions.

Keywords:
big datadata quality managementpatient-generated health dataremote patient monitoringremote sensing technologytelemedicinewearable electronic devices

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Area of Science:

  • Health Informatics
  • Medical Device Technology
  • Data Science

Background:

  • Patient-generated health data (PGHD) from wearables are crucial for remote patient monitoring (RPM).
  • Continuous data collection in daily life poses risks to PGHD quality and trustworthiness.
  • Ensuring PGHD reliability is vital for clinical decision-making.

Purpose of the Study:

  • Develop a data quality management (DQM) guideline for PGHD from wearables in RPM.
  • Investigate applying DQM principles to ensure PGHD informs clinical decisions.
  • Address the needs of patients, clinicians, and health informatics professionals.

Main Methods:

  • Sociotechnical health informatics lens used for guideline development.
  • Interviews with clinicians, health information specialists, and industry representatives.
  • Workshop with stakeholders including patients for co-design.
  • Guideline validation via Delphi survey of international experts.

Main Results:

  • A guideline with 19 recommendations across 7 DQM aspects was constructed.
  • The guideline explicitly addresses patient and clinician needs.
  • Collaboration among all stakeholders is implied for meeting data quality needs.

Conclusions:

  • A systematic DQM approach is essential for reliable use of wearable PGHD in clinical care.
  • The developed guideline is a significant advancement for safe and effective RPM.
  • Promoting data quality management is key to leveraging PGHD in healthcare.