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Related Concept Videos

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Primary care promotes wellness and prevents disease. This care includes health promotion, education, protection (such as immunizations), early disease screening, and environmental considerations. Settings providing this type of healthcare include physician offices, public health clinics, school nursing, and community health nursing.
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Using Real-world Data for Decision Support: Recommendations from a Primary Care Provider Survey.

Patricia A Areán1,2, Emily C Friedman2, Abhishek Pratap3

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Primary care providers see value in digital health data for clinical decisions. However, tools must integrate seamlessly into workflows, avoid patient burden, and ensure data accuracy and privacy.

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Area of Science:

  • Digital Health
  • Clinical Decision Support
  • Primary Care Medicine

Background:

  • Wearable sensors, smartphones, and apps offer potential for clinical decision-making in health and mental health.
  • Primary care settings can benefit from integrating real-world patient data.

Purpose of the Study:

  • To determine primary care provider perspectives on the utility of digital data for clinical decision-making tools.
  • To identify clinician attitudes, willingness to use, and concerns regarding digital data integration.

Main Methods:

  • A mixed-methods cross-sectional survey was conducted with primary care clinicians.
  • Data were collected online using Research Electronic Data Capture (REDCap).

Main Results:

  • Most clinicians (75.7%) had positive attitudes toward digital tools.
  • Significant concerns were raised regarding clinical utility (67.3%), workflow integration, and patient burden.
  • High accuracy and clinical testing were deemed essential for adoption.

Conclusions:

  • Primary care providers value real-world patient data for decision support.
  • Digital tools must integrate smoothly into workflows without increasing patient burden.
  • Ensuring data accuracy, workflow integration, and patient privacy is crucial for successful implementation.