Moving from idea to impact the emergence of m health 2.0


Published on

Supported by the proliferation of smartphones and tablets, consumers and medical providers are snapping up medical technology via mobile apps and mobile sensors at an unprecedented rate. In the process, these early adopters are drawing tremendous attention to the mHealth space. This explosion of products and interest has brought the space to an inflection point: the emergence of mHealth 2.0. At this next stage, mHealth aims not just to provide information but to create meaningful behavior change in both patients and their medical providers. While the underlying idea is simple and the technology astonishing, it has been a challenge to deliver. I will argue that, going forward, the focus of players in the mHealth space must be on closing specific patient behavioral loops, building bridges between non-interoperable data systems, and permitting doctors to provide better care through deeper clinical insights—and all of this must happen without drowning doctors in a deluge of raw data. So how do we get there? The future lies in the aggregation of data from multiple sensors, analyzed and re-expressed as actionable insights for behavioral change. The winners will be those who can produce the most useful sensors (embedded in the most attractive and easy-to-use form factors) and marry them to cloud systems and intelligent algorithms that enable effortless analysis and sharing of insights that inspire action.

Published in: Health & Medicine, Business
  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

Moving from idea to impact the emergence of m health 2.0

  1. 1. Moving from Idea to Impact: the Emergence of mHealth 2.0 Luca M. Sergio Managing Partner, Ethis HealthTech, LLC +1-201-744-3364 Twitter: @lmsergio LinkedIn:
  2. 2. how did I first come to mHealth? •  Catalyst and commercialization of Topcon Medical’s EyeRoute Synergy mini-PACS system •  1st mHealth platform for ophthalmology •  Your diagnostic images, anytime, anywhere •  Now assisting mHealth companies with commercialization
  3. 3. what makes up mHealth?
  4. 4. mHealth begins & ends with the patient PATIENT Data App Developers Health Social Networks Mobile Sensor Mfgs Patient Portals RHIOs Hospitals HIEs CMS Device Mfgs FDA / CE Pharma EHR EMR PACS RIS Payers– morphing into svc providers MD Associations ACOs Individual Providers
  5. 5. what is so exciting today? • Smartphones everywhere • Increasing EMR adoption • Focus on quality of care • Consumerization of healthcare is happening now • Personalization of care emerging • New opportunities for collaborative care • Current healthcare spending is out of control • Care must be doctor and patient driven
  6. 6. why mHealth 2.0? mHealth 1.0 was an app for an app’s sake What is mHealth 2.0? •  Marshaling data across silos to effect behavioral change •  Closing behavioral loops with actionable data, involving both doctor and patient •  Intelligent systems to handle the data deluge
  7. 7. why mHealth 2.0? Where should we apply it? Chronic diseases: •  Obesity •  Hypertension •  Diabetes •  Chronic heart failure •  Chronic obstructive pulmonary disease (>80% of US healthcare spending)
  8. 8. why mHealth 2.0? How should we apply it? •  Greater personalization of medicine •  Move beyond fitness tracking into medically accurate, pervasive sensors •  The medical home, medication adherence, collaborative communications, and care plan adherence •  Focus on giving a sense of control to the patient •  Fill the gap between fitness tracking and in-hospital care
  9. 9. why mHealth 2.0? What is needed to make this happen? •  A unifying catalyst •  A player who enables behavioral change by cementing a connection between patient and doctor •  A player who combines sensors, with standards, with cloud systems, with fun and compelling UI/UX
  10. 10. questions to remember: how can mHealth… 1. Improve patients’ lives? 2. Enable doctors to profit? 3. Create efficient “systems of care”? 4. Foster partnerships between doctors and payers to create patient value?
  11. 11. essentials for the patient Self care information, but connected to valued partner: the MD 24/7 access to providers Easily closing compliance loop for MD care instructions Smart, contextual, actionable alerts Seamless communication with broader EHR systems Passive sensors should fade into the background
  12. 12. essentials for the doctor Instantaneous view of patient Mobilized, easy workflow Closing patient compliance loops Collaborative communication Minimizing office visits Freeing-up of time to focus on overall care
  13. 13. ecosystem today Patients •  Consumerization is driving the overall transformation •  Expectation of “anytime, anywhere, any device” •  Need to move beyond annual / episodic check- ups •  Self-monitoring and management •  Demanding new dialog with MD Doctors •  Less time than before •  Changing reimbursement models •  Focus on quality of care •  Need to have greater insight into patient outside of office •  Fearful of change •  Not yet aligned with consumer driven health, but soon… Hospital Systems •  Consolidations with disparate IT systems •  Competition to offer services •  Managing tremendous info complexity •  Focused on reducing readmissions
  14. 14. ecosystem today Payers •  Emergence of Payer / Provider systems (Kaiser Permanente) •  Emergence of value- based care •  Difficult for Payers to add patient value •  Open to new technology solutions to drive quality or cost •  Morphing into service providers (United Healthcare, Aetna, Cigna, Wellpoint) Big Pharma •  Medication adherence •  Initial focus on educational apps •  Large budgets, but constrained by regulatory agencies (FDA) •  Some focus on improperly prescribed medications Tech Players •  Initial focus on apps & fitness sensors •  Realization that tech alone is insufficient: must build services •  Many copy-cat sensor companies, but few that close an important patient loop or integrate into broader HealthIT system •  Many players ignorant of standards and integration requirements
  15. 15. ecosystem today Government •  Affordable Care Act •  Meaningful Use Stage 2 •  ICD-10 coding •  New FDA Guidance on mHealth •  Proposed SOFTWARE Act in Congress •  Blue Button Initiative •  HIPAA Omnibus Rule •  Studies emerging (VA and NHS in UK) evidencing cost reductions via mHealth Finance & Exits •  Health IT VC funding topped $737M in Q3 2013 •  AthenaHealth’s acquisition of ePocrates for $293M in Q1 2013 •  Basis smartwatch received $11.5M and celebrity advisors Deepak Chopra and Esther Dyson Other Players •  mHIMSS •  mHealth Alliance •  The Clinton Health Matters Initiative and Wellable (wellness incentive company) •  Johns Hopkins Global Health Initiative
  16. 16. barriers to widespread adoption MD apathy Tension between MD & ePatient Lack of interoperability with existing Health IT systems Reimbursement/ business models/ nonalignment of incentives Need for medical relevance & accuracy Poor signal-to-noise ratio because of data overload
  17. 17. problems to avoid Sensors not easy to integrate into consumers’ lives Sensors & apps not easily feeding data to doctors Non HIPAA compliance (data privacy) Wasting time to learn a nonintuitive interface Adding complexity to MD workflow Creation of new data silos
  18. 18. future trends delivery of care:   Home health care/remote patient monitoring   Pharmaceutical adherence   Reduction of hospital readmissions   Explicit cloud services linked to Mayo Clinics… tech itself:   Sensors everywhere (wearable, ingestible, implantable)   Wearables in the operating room   Middleware cloud systems to integrate disparate data silos doctors:   MDs will have still less time   Collaborative care will become essential (also with patient)   Clinical education support systems   Intelligence dashboards (just essential info)
  19. 19. future trends for patients Overall: shifting of monitoring and action into autopilot Easy sending of factual summaries to doctors from our devices (small data) Ongoing communication with providers, outside of hospital Easy sending of actions taken with intelligent alarming to MDs Easy access to detailed health records Personal genomics
  20. 20. how to realize the vision? via technology:   Own the communications on-ramps   Build a better data highway   Essential apps in smartphones (medical image viewer, secure communications)   Novel sensors via partnerships:   Tie into Payer systems (cost reduction + member benefits)   Establish mHealth innovation centers in NYC and San Diego   Empower certain ePatient groups– via services:   Tech alone is not enough   A choke point: data systems integration   Medically accurate sensors with smart alert cloud platform to avoid data deluge
  21. 21. how to realize the vision? – the consumer general consumer requirements: •  Provide truly actionable intelligence without reminder fatigue •  Be demographically appropriate •  Sensors, apps, cloud, and wireless communications need to work 99.9% of the time •  A fun, compelling UI/UX •  Incorporate elements from behavioral psychology •  Facilitate secure, encrypted, HIPAA compliant conversation •  Make the technology “disappear”
  22. 22. how to realize the vision? – the consumer medical problems to address: •  Obesity •  Hypertension •  Diabetes •  Chronic heart failure •  Chronic obstructive pulmonary disease •  Adherence to medication
  23. 23. how to realize the vision? – the consumer points of consumer data interaction: •  Creation of personalized health plans with EHR integration and lab results (going beyond patient portals) •  Sharing of electronic data •  Self monitoring/documentation •  Remote patient monitoring (diagnostics, Rx compliance) •  Secure communication with healthcare providers •  Provider “prescribed” educational materials •  Self education on symptoms
  24. 24. how to realize the vision? – the consumer wearables: •  Easy, elegant, unobtrusive, and doesn’t necessitate 12 clicks •  Differentiate via medical accuracy of sensors •  Sell not only via retail/online, but also MDs, health clubs, corporate environments (“I lost my husband to Fitbit…”) •  If MD is paid based on how a patient performs post- discharge, he’ll slap a wearable monitor on his wrist… •  Data analysts to help make sense of the tide of small data •  Insurance premium reductions for good behavior
  25. 25. mHealth 2.0: making an impact The future will lie in aggregation of data from multiple sensors, analyzed and re-expressed as actionable insights for consumer behavioral change. Open question: who can own both the most interesting sensors, in the most compelling and easy-to-use form factor, and then who can gather, store, analyze and share/integrate the data, incorporating a patient feedback loop? Luca M. Sergio Managing Partner, Ethis HealthTech, LLC +1-201-744-3364 Twitter: @lmsergio LinkedIn: