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Area of Science:

  • Healthcare innovation
  • Biomedical engineering
  • Digital health

Background:

  • Improving clinical outcomes is paramount in healthcare advancement.
  • Current methods for capturing outcomes (provider-collected or patient-reported) have limitations.
  • Stakeholders like payers, industry, providers, and patients can benefit from unified outcome focus.

Purpose of the Study:

  • To explore the potential of biosensors and wearables for capturing health outcomes.
  • To introduce digital outcome measures as a complementary approach to existing methods.
  • To highlight the advantages of digital outcome measures over traditional ones.

Main Methods:

  • Review of emerging biosensor and wearable technologies for health data capture.
  • Conceptual analysis of digital outcome measures.
  • Comparison of digital outcome measures with provider-collected and patient-reported outcome measures.

Main Results:

  • Biosensors and wearables can capture diverse health data, complementing traditional outcome collection.
  • Digital outcome measures reduce reliance on active patient or provider participation.
  • Digital outcome measures show potential for enhanced standardization, consistency, frequency, and accuracy.

Conclusions:

  • Digital outcome measures represent a significant advancement in healthcare data collection.
  • The adoption of biosensors and wearables can lead to more robust and reliable outcome tracking.
  • This technology shift promises to improve the quality and efficiency of healthcare outcome assessment.