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The State of the Evidence
in Digital Medicine 2019
Digital Medicine Conference 2019
Top-Funded Digital Health Companies And Their
Impact On High-Burden, High-Cost Conditions
Health Affairs, January 2019
• identified the twenty top-funded private US-based
digital health companies to analyze their products
and services, related peer-reviewed evidence, and
the potential for impact on patients with high-
burden conditions
• digital health companies have not yet demonstrated
substantial impact on disease burden or cost in the
US health care system.
• Limitations – chose top funded, some of which have
been acquired and not those focused on evidence.
Large-Scale Assessment of a Smartwatch to
Identify Atrial Fibrillation
Apple Heart Study – NEJM – Nov. 2019
• recruited 419,297 participants over 8 months
• 2161 participants (0.52%) received notifications of
irregular pulse
• pragmatic study design provides a foundation for
large-scale pragmatic studies in which outcomes or
adherence can be reliably assessed with user-
owned devices
Leveraging Advances in Technology to Promote Health
Equity – Medical Care – June 2019
• Minorities and persons of less privileged
socioeconomic status are just as likely to utilize
portals
• Population health is a path to health equity, eg,
hypertension in minority communities
• Need more awareness of health literacy issues and
other Social Determinants of Health
The reproducibility crisis in the age of digital medicine
npj Digital Medicine – January 2019
• Part of a broader crisis in reproducibility in medical
research
• Reproducing a study can be prohibitively costly
• Peer review is not enough
• As more data and computing power become
cheaply available to the field of digital medicine,
reanalysis will be less costly
• AllofUs NIH program and eMERGE bridge data gaps
Frontiers in Medicine: Mobile Devices and Health
NEJM – September 2019
• Discusses how passive and active sensing as ways of
collecting patient reported outcomes
• Emphasizes the importance of digital biomarkers,
digital therapeutics and diagnostics
• Through the use of FHIR, data can be integrated into
clinical care
• Validation, regulation and ethics need to be considered
• Mechanisms of mobile health benefits and harms are
detailed.
Health Regulation for the Digital Age — Correcting the
Mismatch – NEJM , November 2019
• Notes the need to update HIPAA to deal with
technology like voice
• Digital tech has simultaneously undermined some
core presumptions of health care regulation.
• regulatory policy could be tailored to the needs
of digital medicine. Interagency communication on
FDA regulation and CMS privacy rules are an example
• Should not prohibit best practices to ensure benefit
Evaluating Digital Health Tools—Prospective,
Experimental, and Real World – JAMA Internal Med
February 2019
• use of experimental studies of DHSTs has been
increasing and that at least 70% were enrolling or
completed by the end of 2017
• evaluations remain a challenge because DHSTs rapidly
evolve
• most of our understanding of safety or effectiveness is
likely to be made based on real-world evidence and
performance data
• In some situations, real world data prompt a
prospective clinical trial
Digital Medicine: A Primer on Measurement
Digital Biomarkers, May 2019
Examples of Digital Measures in Clinical Care
• Recovery, performance, and treatment selection
• Real-time safety monitoring
• Treatment adherence
In Clinical Research
• novel endpoint
• medication adherence
• Safety events
• Screening, enrollment
Navigating the Digital Health Ecosystem to Bridge the
Gap from Innovation to Transformation: A
NODE.Health Perspective on Digital Evidence
Why Is Evidence So Much More Important in Healthcare
than in Other Industries?
• People’s Lives Are at Stake
• Healthcare Is a Slowly Changing Industry
• Clinical Evidence Alone Is Not Sufficient
• Many Physicians Are Trained with an Academic Rather
than Pragmatic Mindset
• Digital Solutions Are Overcoming “Snake Oil” Labeling
• Need to understand the digital health ecosystem
Digital Medicine Year in review 2019

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Digital Medicine Year in review 2019

  • 1. The State of the Evidence in Digital Medicine 2019 Digital Medicine Conference 2019
  • 2. Top-Funded Digital Health Companies And Their Impact On High-Burden, High-Cost Conditions Health Affairs, January 2019 • identified the twenty top-funded private US-based digital health companies to analyze their products and services, related peer-reviewed evidence, and the potential for impact on patients with high- burden conditions • digital health companies have not yet demonstrated substantial impact on disease burden or cost in the US health care system. • Limitations – chose top funded, some of which have been acquired and not those focused on evidence.
  • 3. Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation Apple Heart Study – NEJM – Nov. 2019 • recruited 419,297 participants over 8 months • 2161 participants (0.52%) received notifications of irregular pulse • pragmatic study design provides a foundation for large-scale pragmatic studies in which outcomes or adherence can be reliably assessed with user- owned devices
  • 4. Leveraging Advances in Technology to Promote Health Equity – Medical Care – June 2019 • Minorities and persons of less privileged socioeconomic status are just as likely to utilize portals • Population health is a path to health equity, eg, hypertension in minority communities • Need more awareness of health literacy issues and other Social Determinants of Health
  • 5. The reproducibility crisis in the age of digital medicine npj Digital Medicine – January 2019 • Part of a broader crisis in reproducibility in medical research • Reproducing a study can be prohibitively costly • Peer review is not enough • As more data and computing power become cheaply available to the field of digital medicine, reanalysis will be less costly • AllofUs NIH program and eMERGE bridge data gaps
  • 6. Frontiers in Medicine: Mobile Devices and Health NEJM – September 2019 • Discusses how passive and active sensing as ways of collecting patient reported outcomes • Emphasizes the importance of digital biomarkers, digital therapeutics and diagnostics • Through the use of FHIR, data can be integrated into clinical care • Validation, regulation and ethics need to be considered • Mechanisms of mobile health benefits and harms are detailed.
  • 7. Health Regulation for the Digital Age — Correcting the Mismatch – NEJM , November 2019 • Notes the need to update HIPAA to deal with technology like voice • Digital tech has simultaneously undermined some core presumptions of health care regulation. • regulatory policy could be tailored to the needs of digital medicine. Interagency communication on FDA regulation and CMS privacy rules are an example • Should not prohibit best practices to ensure benefit
  • 8. Evaluating Digital Health Tools—Prospective, Experimental, and Real World – JAMA Internal Med February 2019 • use of experimental studies of DHSTs has been increasing and that at least 70% were enrolling or completed by the end of 2017 • evaluations remain a challenge because DHSTs rapidly evolve • most of our understanding of safety or effectiveness is likely to be made based on real-world evidence and performance data • In some situations, real world data prompt a prospective clinical trial
  • 9. Digital Medicine: A Primer on Measurement Digital Biomarkers, May 2019 Examples of Digital Measures in Clinical Care • Recovery, performance, and treatment selection • Real-time safety monitoring • Treatment adherence In Clinical Research • novel endpoint • medication adherence • Safety events • Screening, enrollment
  • 10. Navigating the Digital Health Ecosystem to Bridge the Gap from Innovation to Transformation: A NODE.Health Perspective on Digital Evidence Why Is Evidence So Much More Important in Healthcare than in Other Industries? • People’s Lives Are at Stake • Healthcare Is a Slowly Changing Industry • Clinical Evidence Alone Is Not Sufficient • Many Physicians Are Trained with an Academic Rather than Pragmatic Mindset • Digital Solutions Are Overcoming “Snake Oil” Labeling • Need to understand the digital health ecosystem