SlideShare a Scribd company logo
1 of 26
Society for Digital Medicine
Digital Medicine: Year in Review
John Sharp and Ashish Atreja
PCHAlliance/ HIMSS and Mount Sinai
@johnsharp @atreja
Our Approach
• Published in peer-reviewed journals
• Pilot and feasibility studies
• Validation Studies
• RCTs
• Literature reviews and meta-analysis
Digital Health Innovation Action Plan
• Launching an innovative
pilot precertification
program to work with our
customers to develop a
new approach to digital
health technology oversight
(FDA Pre-Cert for Software)
3
New CPT codes Approved for Remote
Patient Monitoring
11/5/17 CMS Expands
Telehealth
Reimbursement in
New Rule
covers remote
chronic care
management
4
PCHAlliance
White Paper
Including
• review of 34 studies,
• latest evidence by condition
and
• call to action
5
Classic Studies
Problem: Diabetes- chronic disease management
Intervention: Remote Monitoring, connected glucometer with AI
Control: Usual Care, RCT over 12 months
Outcome: 1.9% vs 0.7% mean HbA1c decline in Bluestar arm vs.usual care
NODE Pearl: First App to get FDA approved based on evidence. Still not mainstream due to
transformation challenge
Quinn, C et al, Diabetes Care, 2011
From: Effect of Lifestyle-Focused Text Messaging on Risk Factor Modification in Patients With Coronary Heart
Disease: A Randomized Clinical Trial
JAMA. 2015;314(12):1255-1263. doi:10.1001/jama.2015.10945
Enrollment of Participants in the TEXT-ME Randomized Clinical TrialLDL-C indicates low-density lipoprotein cholesterol.
Figure Legend:
At 6 months, levels of LDL-C were significantly
lower in intervention participants (mean
difference, −5 mg/dL with reductions in systolic
blood pressure (−7.6 mm Hg) and BMI (−1.3),,
and a significant reduction in smoking (26% vs
44%; relative risk, 0.61 [95% CI, 0.48 to
0.76]; P < .001).
The majority reported the text-message program
to be useful (91%), easy to understand (97%),
and appropriate in frequency (86%).
SnowWorld (VR)
SnowWorld,
developed at the
University of
Washington HITLab is
the first immersive
virtual world designed
for reducing pan and
anxiety. SnowWorld
was specifically
designed to help burn
patients. Published
RCT of 54 patients
show 15-44%
Schmitt YS et al, Burns
2011. PMID 20692769
https://www.youtube.com/watch?v=jNIqyyypojg
https://peerj.com/articles/1554/
HeadStrong Study in AMI survivors
Year 2017 Summary
Substantial evidence for
• Text messaging and Remote monitoring
• Telemedicine in right setting
Increasing Evidence for
• Wearable devices for right use case
• AI
Need more Evidence
• VR
• Blockchain
Text messaging
Text Messaging and Mobile Phone Apps as Interventions to
Improve Adherence in Adolescents With Chronic Health
Conditions –JMIR 5/17
Problem – Medication adherence is a major challenge in adolescents with chronic
conditions
Research design – meta-analysis of 15 studies, most from US
Outcome - Seven articles reported significant improvement in adherence
NODE Pearl - promising feasibility and acceptability, and there is modest
evidence to support the efficacy of these interventions
14
Remote monitoring
Problem – Is the use of a Blue-tooth enabled inhaler sensor feasible in an elderly
population?
Intervention – use of Propeller Health inhaler sensor, data transmitted via a
wireless hub.
Research design – 198 with COPD, 38 with asthma followed for 12 months.
Outcome – SABA use decreased by 51%, Symptom-free days increased by 28%
NODE Pearl - management of remote monitoring feasible with elderly, COPD
management shows long term improvement.
15
Telemedicine in right setting
Telehealth Interventions to Support Self-Management of
Long-Term Conditions – JMIR 5/17
Problem - Self-management support is one mechanism by which telehealth
interventions have been proposed to facilitate management of long-term
conditions
Research Design - Metareview of Diabetes, Heart Failure, Asthma, Chronic
Obstructive Pulmonary Disease, and Cancer. 53 systematic reviews,
comprising 232 unique RCTs
Outcome – Telehealth self monitoring not superior to usual care except in
heart failure and type 2 diabetes where the practice is more mature. No
reports of harm.
NODE Pearl – Studies to date encouraging but more theory based studies
needed. 16
Wearable devices for right use case
Cardiovascular Risk Stratification Using Off-the-Shelf Wearables and a Multi-
Task Deep Learning Algorithm – 2017 AHA Scientific Session - UCSF
Research Design - 6,115 active users of the Cardiogram app for Apple Watch
- Heart rate and step counts were collected for a period of 1 to 53 weeks
(mean=8.9).
Outcome - Deep Neural Network outperformed a baseline logistic regression
model incorporating age, sex, and beta blocker use, predicting prevalent
hypertension
NODE Pearl – wearables combined with AI demonstrating
usefulness in predicting disease events.
17
Wearables
Problem – Monitoring physical activity essential in Cardiac Rehab
Intervention - 40 patients wore Fitbit-Flex for four consecutive days x 8 wks
Research design – Measured changes with the Physical Activity Scale for the
Elderly (PASE) and 6 minute walk test (6MWT)
Outcome – significant increases in PASE score and 6MWT and average steps
NODE Pearl – Use of an activity monitor wearable a helpful adjuct to Cardiac Rehab18
Year 2017 Pick
PLEASE ADD PICO details for
1. Google AI Retinopathy
2. OMADA more
3. ALIVE Cor
4. FDA Digital pill approval
5. Telemedicine failure study
Google AI Retinopathy
-9963 images from 4997 patients
-Algorithm based on deep machine
learning had high sensitivity and
specificity for detecting referable
diabetic retinopathy
-NODE Pearl could lead to improved
care and outcomes compared with
current ophthalmologic assessment
20
Virtual Coaching in Diabetes Prevention Programs
Outcomes of a Digital Health Program With Human Coaching for Diabetes Risk
Reduction in a Medicare Population
Method: People at risk for diabetes enrolled in a program combining digital
health with human coaching (Omada Health)
Outcome: 501 patients, participants lost 7.5% (SD = 7.8%) of initial body
weight, glucose control improved (HbA1c change = −0.14%)
NODE Pearl: Virtual DPP is an
mature intervention which can
be applied to other chronic
conditions
21
Problem -integration of mHealth technology with self-management approaches to
improve the detection and management of atrial fibrillation
Intervention to determine if an FDA approved wireless ECG monitor designed for use with
smartphones (AliveCor™ ECG) could be utilized to detect and manage recurrent AF or other
atrial arrhythmias better than usual medical care
Research design Subjects with documented history of AF and were scheduled to undergo a
cardioversion, intervention group trained in device usage
Outcome no significant differences between groups with respect to the prevalence of coronary
artery disease, stroke/TIA, congestive heart failure, cardiovascular risk factors, or medication
usage.
NODE Pearl – Digital self monitoring of AF equally effective as current standard of care and with
better quality of life.
Journal of AFIB
11/29/17 FIRST APPLE WATCH GADGET CLEARED BY FDA:
AliveCor, the manufacturer of EKG gadgets, has expanded to the Apple Watch
FDA approves pill with sensor that digitally
tracks if patients have ingested their medication
11/13/17 - Abilify MyCite should not be used to track drug ingestion in “real-
time” or during an emergency because detection may be delayed or may not
occur. Proteus Digital Health.
For treatment of Schizophrenia and
Bipolar disorder
Sends a message from the pill’s sensor to a wearable
patch which transmits to a mobile application so that
patients can track the ingestion of the medication
on their smart phone.
NODE Pearl: Encouraging new use of digital in
medication adherence; new category - ingestibles
23
Telemedicine Failure
24
Conclusions (1)
• Evidence in several areas is growing and being featured in major journals:
telehealth and remote monitoring, text messaging, virtual coaching and
some wearables (CGMs, etc.)
• Increasing evidence for use of wearables including for research and AI
• More evidence needed for VR, Blockchain
25
Conclusions (2)
Encouraging new developments with FDA approval of devices to monitor Atrial
Fibrillation, Artificial Pancreas for Type 1 Diabetes and an ingestible sensor.
More common use of connected devices an apps in research, rehabilitation,
post-discharge and procedure follow up
Emerging field of Digital Therapeutics which looks
to be an adjunct to traditional therapies or
to replace them with digital tools.
26

More Related Content

What's hot

Personal Connected Health: Patient Generated Data Use Cases
Personal Connected Health: Patient Generated Data Use CasesPersonal Connected Health: Patient Generated Data Use Cases
Personal Connected Health: Patient Generated Data Use CasesKent State University
 
1325 keynote yale_pdf shareable
1325 keynote yale_pdf shareable1325 keynote yale_pdf shareable
1325 keynote yale_pdf shareableRising Media, Inc.
 
Health and Multimedia
Health and MultimediaHealth and Multimedia
Health and Multimedia***
 
Transformation In Chronic Disease Management Through Technology: Improving Pr...
Transformation In Chronic Disease Management Through Technology: Improving Pr...Transformation In Chronic Disease Management Through Technology: Improving Pr...
Transformation In Chronic Disease Management Through Technology: Improving Pr...Mohammad Al-Ubaydli
 
Telemonitoring of older people
Telemonitoring of older peopleTelemonitoring of older people
Telemonitoring of older peopleRoger Watson
 
Digital medicine - year in review 2018 and forward look to 2019
Digital medicine  - year in review 2018 and forward look to 2019Digital medicine  - year in review 2018 and forward look to 2019
Digital medicine - year in review 2018 and forward look to 2019Kent State University
 
Wearables-Provider-Research_iTriage November 2015
Wearables-Provider-Research_iTriage November 2015Wearables-Provider-Research_iTriage November 2015
Wearables-Provider-Research_iTriage November 2015Peggy Lawless
 
Connected Health Builds Patient Engagement
Connected Health Builds Patient EngagementConnected Health Builds Patient Engagement
Connected Health Builds Patient EngagementKent State University
 
Telemedicine Lessons from Walmart & Texas Prisons - Dr. Glenn Hammack 9 feb2017
Telemedicine Lessons from Walmart & Texas Prisons - Dr. Glenn Hammack 9 feb2017Telemedicine Lessons from Walmart & Texas Prisons - Dr. Glenn Hammack 9 feb2017
Telemedicine Lessons from Walmart & Texas Prisons - Dr. Glenn Hammack 9 feb2017VSee
 
Cadth symposium 2015 d3 pro presentation apr 2015 - for deb
Cadth symposium 2015 d3 pro presentation   apr 2015 - for debCadth symposium 2015 d3 pro presentation   apr 2015 - for deb
Cadth symposium 2015 d3 pro presentation apr 2015 - for debCADTH Symposium
 
Paul Coplan, VP, Johnson & Johnson_mHealth Israel
Paul Coplan, VP, Johnson & Johnson_mHealth IsraelPaul Coplan, VP, Johnson & Johnson_mHealth Israel
Paul Coplan, VP, Johnson & Johnson_mHealth IsraelLevi Shapiro
 
The Electronic Health Record: Using It Effectively & with Meaning
The Electronic Health Record:Using It Effectively & with MeaningThe Electronic Health Record:Using It Effectively & with Meaning
The Electronic Health Record: Using It Effectively & with MeaningBU School of Medicine
 
Health IT Summit New York 2014 - Case Study “Investment in a Health IT Infras...
Health IT Summit New York 2014 - Case Study “Investment in a Health IT Infras...Health IT Summit New York 2014 - Case Study “Investment in a Health IT Infras...
Health IT Summit New York 2014 - Case Study “Investment in a Health IT Infras...Health IT Conference – iHT2
 
Care Intervention Assistant - Omaha Clinical Data Information System
Care Intervention Assistant - Omaha Clinical Data Information SystemCare Intervention Assistant - Omaha Clinical Data Information System
Care Intervention Assistant - Omaha Clinical Data Information SystemTigerGraph
 
Shaping Informatics for Allied Health - Refining our voice
Shaping Informatics for Allied Health - Refining our voiceShaping Informatics for Allied Health - Refining our voice
Shaping Informatics for Allied Health - Refining our voiceHealth Informatics New Zealand
 
CATCH-IT Journal Club presentation Shamsa Jiwani
CATCH-IT Journal Club presentation Shamsa JiwaniCATCH-IT Journal Club presentation Shamsa Jiwani
CATCH-IT Journal Club presentation Shamsa JiwaniUniversity of Toronto
 
Use of data analytics in health care
Use of data analytics in health careUse of data analytics in health care
Use of data analytics in health careAkanshabhushan
 
Dan Wellings' HARC presentation
Dan Wellings' HARC presentationDan Wellings' HARC presentation
Dan Wellings' HARC presentationSax Institute
 
Patient leakage - What to know and how to avoid it
Patient leakage - What to know and how to avoid itPatient leakage - What to know and how to avoid it
Patient leakage - What to know and how to avoid itChiron Health
 
The Future of Mobile Healthcare
The Future of Mobile Healthcare The Future of Mobile Healthcare
The Future of Mobile Healthcare Ruder Finn UK Ltd
 

What's hot (20)

Personal Connected Health: Patient Generated Data Use Cases
Personal Connected Health: Patient Generated Data Use CasesPersonal Connected Health: Patient Generated Data Use Cases
Personal Connected Health: Patient Generated Data Use Cases
 
1325 keynote yale_pdf shareable
1325 keynote yale_pdf shareable1325 keynote yale_pdf shareable
1325 keynote yale_pdf shareable
 
Health and Multimedia
Health and MultimediaHealth and Multimedia
Health and Multimedia
 
Transformation In Chronic Disease Management Through Technology: Improving Pr...
Transformation In Chronic Disease Management Through Technology: Improving Pr...Transformation In Chronic Disease Management Through Technology: Improving Pr...
Transformation In Chronic Disease Management Through Technology: Improving Pr...
 
Telemonitoring of older people
Telemonitoring of older peopleTelemonitoring of older people
Telemonitoring of older people
 
Digital medicine - year in review 2018 and forward look to 2019
Digital medicine  - year in review 2018 and forward look to 2019Digital medicine  - year in review 2018 and forward look to 2019
Digital medicine - year in review 2018 and forward look to 2019
 
Wearables-Provider-Research_iTriage November 2015
Wearables-Provider-Research_iTriage November 2015Wearables-Provider-Research_iTriage November 2015
Wearables-Provider-Research_iTriage November 2015
 
Connected Health Builds Patient Engagement
Connected Health Builds Patient EngagementConnected Health Builds Patient Engagement
Connected Health Builds Patient Engagement
 
Telemedicine Lessons from Walmart & Texas Prisons - Dr. Glenn Hammack 9 feb2017
Telemedicine Lessons from Walmart & Texas Prisons - Dr. Glenn Hammack 9 feb2017Telemedicine Lessons from Walmart & Texas Prisons - Dr. Glenn Hammack 9 feb2017
Telemedicine Lessons from Walmart & Texas Prisons - Dr. Glenn Hammack 9 feb2017
 
Cadth symposium 2015 d3 pro presentation apr 2015 - for deb
Cadth symposium 2015 d3 pro presentation   apr 2015 - for debCadth symposium 2015 d3 pro presentation   apr 2015 - for deb
Cadth symposium 2015 d3 pro presentation apr 2015 - for deb
 
Paul Coplan, VP, Johnson & Johnson_mHealth Israel
Paul Coplan, VP, Johnson & Johnson_mHealth IsraelPaul Coplan, VP, Johnson & Johnson_mHealth Israel
Paul Coplan, VP, Johnson & Johnson_mHealth Israel
 
The Electronic Health Record: Using It Effectively & with Meaning
The Electronic Health Record:Using It Effectively & with MeaningThe Electronic Health Record:Using It Effectively & with Meaning
The Electronic Health Record: Using It Effectively & with Meaning
 
Health IT Summit New York 2014 - Case Study “Investment in a Health IT Infras...
Health IT Summit New York 2014 - Case Study “Investment in a Health IT Infras...Health IT Summit New York 2014 - Case Study “Investment in a Health IT Infras...
Health IT Summit New York 2014 - Case Study “Investment in a Health IT Infras...
 
Care Intervention Assistant - Omaha Clinical Data Information System
Care Intervention Assistant - Omaha Clinical Data Information SystemCare Intervention Assistant - Omaha Clinical Data Information System
Care Intervention Assistant - Omaha Clinical Data Information System
 
Shaping Informatics for Allied Health - Refining our voice
Shaping Informatics for Allied Health - Refining our voiceShaping Informatics for Allied Health - Refining our voice
Shaping Informatics for Allied Health - Refining our voice
 
CATCH-IT Journal Club presentation Shamsa Jiwani
CATCH-IT Journal Club presentation Shamsa JiwaniCATCH-IT Journal Club presentation Shamsa Jiwani
CATCH-IT Journal Club presentation Shamsa Jiwani
 
Use of data analytics in health care
Use of data analytics in health careUse of data analytics in health care
Use of data analytics in health care
 
Dan Wellings' HARC presentation
Dan Wellings' HARC presentationDan Wellings' HARC presentation
Dan Wellings' HARC presentation
 
Patient leakage - What to know and how to avoid it
Patient leakage - What to know and how to avoid itPatient leakage - What to know and how to avoid it
Patient leakage - What to know and how to avoid it
 
The Future of Mobile Healthcare
The Future of Mobile Healthcare The Future of Mobile Healthcare
The Future of Mobile Healthcare
 

Similar to Digital evidence year in review-2017

Virtual clinical trials
Virtual clinical trialsVirtual clinical trials
Virtual clinical trialsDrSahilKumar
 
Decentralized trials white paper by Andaman7
Decentralized trials white paper by Andaman7Decentralized trials white paper by Andaman7
Decentralized trials white paper by Andaman7Lio Naveau
 
Digital health in diabetes: a global perspective
Digital health in diabetes: a global perspectiveDigital health in diabetes: a global perspective
Digital health in diabetes: a global perspectiveYoon Sup Choi
 
Helping you understand the market opportunities of mobile health &amp; medica...
Helping you understand the market opportunities of mobile health &amp; medica...Helping you understand the market opportunities of mobile health &amp; medica...
Helping you understand the market opportunities of mobile health &amp; medica...Damon Lightley
 
Transforming Health Care In Africa
Transforming Health Care In Africa Transforming Health Care In Africa
Transforming Health Care In Africa Jacques Kpodonu,MD
 
IoE in Clinical Trials
IoE in Clinical TrialsIoE in Clinical Trials
IoE in Clinical TrialsCRF Health
 
IoT potential in Asia Healthcare System_i4
IoT potential in Asia Healthcare System_i4IoT potential in Asia Healthcare System_i4
IoT potential in Asia Healthcare System_i4Guna Sekaran
 
apidays LIVE Singapore 2022_Analytics in Healthcare.pptx
apidays LIVE Singapore 2022_Analytics in Healthcare.pptxapidays LIVE Singapore 2022_Analytics in Healthcare.pptx
apidays LIVE Singapore 2022_Analytics in Healthcare.pptxapidays
 
의료의 미래, 디지털 헬스케어: 당뇨와 내분비학을 중심으로
의료의 미래, 디지털 헬스케어: 당뇨와 내분비학을 중심으로의료의 미래, 디지털 헬스케어: 당뇨와 내분비학을 중심으로
의료의 미래, 디지털 헬스케어: 당뇨와 내분비학을 중심으로Yoon Sup Choi
 
EarlySense - NOAH19 Tel Aviv
EarlySense - NOAH19 Tel AvivEarlySense - NOAH19 Tel Aviv
EarlySense - NOAH19 Tel AvivNOAH Advisors
 
DayOne Conference Projects
DayOne Conference ProjectsDayOne Conference Projects
DayOne Conference ProjectsDayOne
 
Apps In Pharmaceutical R&amp;D V2
Apps In Pharmaceutical R&amp;D V2Apps In Pharmaceutical R&amp;D V2
Apps In Pharmaceutical R&amp;D V2shutson1954
 
Health informatics - Transforming healthcare delivery in hong kong
Health informatics - Transforming healthcare delivery in hong kongHealth informatics - Transforming healthcare delivery in hong kong
Health informatics - Transforming healthcare delivery in hong kongHealth Informatics New Zealand
 
iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...
iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...
iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...Health IT Conference – iHT2
 
mHealth Beyond Consumer Apps Tutorial MobileHCI
mHealth Beyond Consumer Apps Tutorial MobileHCI mHealth Beyond Consumer Apps Tutorial MobileHCI
mHealth Beyond Consumer Apps Tutorial MobileHCI Jill Freyne
 
Machine learning in health data analytics and pharmacovigilance
Machine learning in health data analytics and pharmacovigilanceMachine learning in health data analytics and pharmacovigilance
Machine learning in health data analytics and pharmacovigilanceRevathi Boyina
 
Top Brainnovation to improve Brain Health & Performance
 Top Brainnovation to improve Brain Health & Performance Top Brainnovation to improve Brain Health & Performance
Top Brainnovation to improve Brain Health & PerformanceSharpBrains
 
Big Data in Medicine
Big Data in MedicineBig Data in Medicine
Big Data in MedicineNasir Arafat
 

Similar to Digital evidence year in review-2017 (20)

Virtual clinical trials
Virtual clinical trialsVirtual clinical trials
Virtual clinical trials
 
Decentralized trials white paper by Andaman7
Decentralized trials white paper by Andaman7Decentralized trials white paper by Andaman7
Decentralized trials white paper by Andaman7
 
Digital health in diabetes: a global perspective
Digital health in diabetes: a global perspectiveDigital health in diabetes: a global perspective
Digital health in diabetes: a global perspective
 
Esc 2015
Esc 2015 Esc 2015
Esc 2015
 
Helping you understand the market opportunities of mobile health &amp; medica...
Helping you understand the market opportunities of mobile health &amp; medica...Helping you understand the market opportunities of mobile health &amp; medica...
Helping you understand the market opportunities of mobile health &amp; medica...
 
Transforming Health Care In Africa
Transforming Health Care In Africa Transforming Health Care In Africa
Transforming Health Care In Africa
 
IoE in Clinical Trials
IoE in Clinical TrialsIoE in Clinical Trials
IoE in Clinical Trials
 
IoT potential in Asia Healthcare System_i4
IoT potential in Asia Healthcare System_i4IoT potential in Asia Healthcare System_i4
IoT potential in Asia Healthcare System_i4
 
apidays LIVE Singapore 2022_Analytics in Healthcare.pptx
apidays LIVE Singapore 2022_Analytics in Healthcare.pptxapidays LIVE Singapore 2022_Analytics in Healthcare.pptx
apidays LIVE Singapore 2022_Analytics in Healthcare.pptx
 
의료의 미래, 디지털 헬스케어: 당뇨와 내분비학을 중심으로
의료의 미래, 디지털 헬스케어: 당뇨와 내분비학을 중심으로의료의 미래, 디지털 헬스케어: 당뇨와 내분비학을 중심으로
의료의 미래, 디지털 헬스케어: 당뇨와 내분비학을 중심으로
 
EarlySense - NOAH19 Tel Aviv
EarlySense - NOAH19 Tel AvivEarlySense - NOAH19 Tel Aviv
EarlySense - NOAH19 Tel Aviv
 
Cellscan Stanford 2016
Cellscan Stanford 2016Cellscan Stanford 2016
Cellscan Stanford 2016
 
DayOne Conference Projects
DayOne Conference ProjectsDayOne Conference Projects
DayOne Conference Projects
 
Apps In Pharmaceutical R&amp;D V2
Apps In Pharmaceutical R&amp;D V2Apps In Pharmaceutical R&amp;D V2
Apps In Pharmaceutical R&amp;D V2
 
Health informatics - Transforming healthcare delivery in hong kong
Health informatics - Transforming healthcare delivery in hong kongHealth informatics - Transforming healthcare delivery in hong kong
Health informatics - Transforming healthcare delivery in hong kong
 
iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...
iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...
iHT² Health IT Summit Seattle 2013 - Josephine Briggs, MD, National Center fo...
 
mHealth Beyond Consumer Apps Tutorial MobileHCI
mHealth Beyond Consumer Apps Tutorial MobileHCI mHealth Beyond Consumer Apps Tutorial MobileHCI
mHealth Beyond Consumer Apps Tutorial MobileHCI
 
Machine learning in health data analytics and pharmacovigilance
Machine learning in health data analytics and pharmacovigilanceMachine learning in health data analytics and pharmacovigilance
Machine learning in health data analytics and pharmacovigilance
 
Top Brainnovation to improve Brain Health & Performance
 Top Brainnovation to improve Brain Health & Performance Top Brainnovation to improve Brain Health & Performance
Top Brainnovation to improve Brain Health & Performance
 
Big Data in Medicine
Big Data in MedicineBig Data in Medicine
Big Data in Medicine
 

More from Kent State University

Digital Medicine Year in review 2019
Digital Medicine Year in review 2019Digital Medicine Year in review 2019
Digital Medicine Year in review 2019Kent State University
 
Building Consumer-Facing Health Devices and Apps and Doing it Right
Building Consumer-Facing Health Devices and Apps and Doing it RightBuilding Consumer-Facing Health Devices and Apps and Doing it Right
Building Consumer-Facing Health Devices and Apps and Doing it RightKent State University
 
Building Consumer-Facing Health Devices and Apps and Doing it Right
Building Consumer-Facing Health Devices and Apps and Doing it RightBuilding Consumer-Facing Health Devices and Apps and Doing it Right
Building Consumer-Facing Health Devices and Apps and Doing it RightKent State University
 
How Interconnectivity Is Enabling The Future Of Patient-Driven Health
How Interconnectivity Is Enabling The Future Of Patient-Driven HealthHow Interconnectivity Is Enabling The Future Of Patient-Driven Health
How Interconnectivity Is Enabling The Future Of Patient-Driven HealthKent State University
 
Summit @ HIMSS- IoT and Personal Connected Health
Summit @ HIMSS-  IoT and Personal Connected HealthSummit @ HIMSS-  IoT and Personal Connected Health
Summit @ HIMSS- IoT and Personal Connected HealthKent State University
 
Personal Connected Health: From Wearables to EHRs and Workflow
Personal Connected Health: From Wearables to EHRs and WorkflowPersonal Connected Health: From Wearables to EHRs and Workflow
Personal Connected Health: From Wearables to EHRs and WorkflowKent State University
 
How ICT Enables Personalized Medicine
How ICT Enables Personalized MedicineHow ICT Enables Personalized Medicine
How ICT Enables Personalized MedicineKent State University
 
Presentation to the FCC on Mobile Health 10/26/15
Presentation to the FCC on Mobile Health 10/26/15Presentation to the FCC on Mobile Health 10/26/15
Presentation to the FCC on Mobile Health 10/26/15Kent State University
 
AMIA 2015 Registries in Accountable Care poster
AMIA 2015 Registries in Accountable Care posterAMIA 2015 Registries in Accountable Care poster
AMIA 2015 Registries in Accountable Care posterKent State University
 
HIMSS Connected Health Conference Summary
HIMSS Connected Health Conference SummaryHIMSS Connected Health Conference Summary
HIMSS Connected Health Conference SummaryKent State University
 
Health IT Role in Personalized Medicine
Health IT Role in Personalized MedicineHealth IT Role in Personalized Medicine
Health IT Role in Personalized MedicineKent State University
 
Mobile technology impact AGA Tech Summit - March 2015
Mobile technology impact   AGA Tech Summit - March 2015Mobile technology impact   AGA Tech Summit - March 2015
Mobile technology impact AGA Tech Summit - March 2015Kent State University
 
D-data Exchange -Health Data Intergration Beyond Diabetes
D-data Exchange -Health Data Intergration Beyond DiabetesD-data Exchange -Health Data Intergration Beyond Diabetes
D-data Exchange -Health Data Intergration Beyond DiabetesKent State University
 
Value of Patient Engagement Technologies
Value of Patient Engagement TechnologiesValue of Patient Engagement Technologies
Value of Patient Engagement TechnologiesKent State University
 
Developing a Centralized Repository Strategy: The Top Three Success Factors
Developing a Centralized Repository Strategy: The Top Three Success FactorsDeveloping a Centralized Repository Strategy: The Top Three Success Factors
Developing a Centralized Repository Strategy: The Top Three Success FactorsKent State University
 

More from Kent State University (20)

Digital Medicine Year in review 2019
Digital Medicine Year in review 2019Digital Medicine Year in review 2019
Digital Medicine Year in review 2019
 
Building Consumer-Facing Health Devices and Apps and Doing it Right
Building Consumer-Facing Health Devices and Apps and Doing it RightBuilding Consumer-Facing Health Devices and Apps and Doing it Right
Building Consumer-Facing Health Devices and Apps and Doing it Right
 
Building Consumer-Facing Health Devices and Apps and Doing it Right
Building Consumer-Facing Health Devices and Apps and Doing it RightBuilding Consumer-Facing Health Devices and Apps and Doing it Right
Building Consumer-Facing Health Devices and Apps and Doing it Right
 
How Interconnectivity Is Enabling The Future Of Patient-Driven Health
How Interconnectivity Is Enabling The Future Of Patient-Driven HealthHow Interconnectivity Is Enabling The Future Of Patient-Driven Health
How Interconnectivity Is Enabling The Future Of Patient-Driven Health
 
Quotes from Killer Apps
Quotes from Killer AppsQuotes from Killer Apps
Quotes from Killer Apps
 
Summit @ HIMSS- IoT and Personal Connected Health
Summit @ HIMSS-  IoT and Personal Connected HealthSummit @ HIMSS-  IoT and Personal Connected Health
Summit @ HIMSS- IoT and Personal Connected Health
 
Personal Connected Health: From Wearables to EHRs and Workflow
Personal Connected Health: From Wearables to EHRs and WorkflowPersonal Connected Health: From Wearables to EHRs and Workflow
Personal Connected Health: From Wearables to EHRs and Workflow
 
Mobile Health Trends
Mobile Health TrendsMobile Health Trends
Mobile Health Trends
 
How ICT Enables Personalized Medicine
How ICT Enables Personalized MedicineHow ICT Enables Personalized Medicine
How ICT Enables Personalized Medicine
 
Presentation to the FCC on Mobile Health 10/26/15
Presentation to the FCC on Mobile Health 10/26/15Presentation to the FCC on Mobile Health 10/26/15
Presentation to the FCC on Mobile Health 10/26/15
 
AMIA 2015 Registries in Accountable Care poster
AMIA 2015 Registries in Accountable Care posterAMIA 2015 Registries in Accountable Care poster
AMIA 2015 Registries in Accountable Care poster
 
HIMSS Connected Health Conference Summary
HIMSS Connected Health Conference SummaryHIMSS Connected Health Conference Summary
HIMSS Connected Health Conference Summary
 
Health IT Role in Personalized Medicine
Health IT Role in Personalized MedicineHealth IT Role in Personalized Medicine
Health IT Role in Personalized Medicine
 
Mobile technology impact AGA Tech Summit - March 2015
Mobile technology impact   AGA Tech Summit - March 2015Mobile technology impact   AGA Tech Summit - March 2015
Mobile technology impact AGA Tech Summit - March 2015
 
Use of linked in long posts
Use of linked in long postsUse of linked in long posts
Use of linked in long posts
 
D-data Exchange -Health Data Intergration Beyond Diabetes
D-data Exchange -Health Data Intergration Beyond DiabetesD-data Exchange -Health Data Intergration Beyond Diabetes
D-data Exchange -Health Data Intergration Beyond Diabetes
 
Value of Patient Engagement Technologies
Value of Patient Engagement TechnologiesValue of Patient Engagement Technologies
Value of Patient Engagement Technologies
 
Brief history of social media
Brief history of social mediaBrief history of social media
Brief history of social media
 
Trends in Healthcare Social Media
Trends in Healthcare Social MediaTrends in Healthcare Social Media
Trends in Healthcare Social Media
 
Developing a Centralized Repository Strategy: The Top Three Success Factors
Developing a Centralized Repository Strategy: The Top Three Success FactorsDeveloping a Centralized Repository Strategy: The Top Three Success Factors
Developing a Centralized Repository Strategy: The Top Three Success Factors
 

Recently uploaded

Call Girls Whitefield Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Whitefield Just Call 7001305949 Top Class Call Girl Service AvailableCall Girls Whitefield Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Whitefield Just Call 7001305949 Top Class Call Girl Service Availablenarwatsonia7
 
Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...
Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...
Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...narwatsonia7
 
VIP Call Girls Lucknow Nandini 7001305949 Independent Escort Service Lucknow
VIP Call Girls Lucknow Nandini 7001305949 Independent Escort Service LucknowVIP Call Girls Lucknow Nandini 7001305949 Independent Escort Service Lucknow
VIP Call Girls Lucknow Nandini 7001305949 Independent Escort Service Lucknownarwatsonia7
 
Call Girl Lucknow Mallika 7001305949 Independent Escort Service Lucknow
Call Girl Lucknow Mallika 7001305949 Independent Escort Service LucknowCall Girl Lucknow Mallika 7001305949 Independent Escort Service Lucknow
Call Girl Lucknow Mallika 7001305949 Independent Escort Service Lucknownarwatsonia7
 
Call Girls Service Nandiambakkam | 7001305949 At Low Cost Cash Payment Booking
Call Girls Service Nandiambakkam | 7001305949 At Low Cost Cash Payment BookingCall Girls Service Nandiambakkam | 7001305949 At Low Cost Cash Payment Booking
Call Girls Service Nandiambakkam | 7001305949 At Low Cost Cash Payment BookingNehru place Escorts
 
Call Girls Service Noida Maya 9711199012 Independent Escort Service Noida
Call Girls Service Noida Maya 9711199012 Independent Escort Service NoidaCall Girls Service Noida Maya 9711199012 Independent Escort Service Noida
Call Girls Service Noida Maya 9711199012 Independent Escort Service NoidaPooja Gupta
 
Low Rate Call Girls Mumbai Suman 9910780858 Independent Escort Service Mumbai
Low Rate Call Girls Mumbai Suman 9910780858 Independent Escort Service MumbaiLow Rate Call Girls Mumbai Suman 9910780858 Independent Escort Service Mumbai
Low Rate Call Girls Mumbai Suman 9910780858 Independent Escort Service Mumbaisonalikaur4
 
Call Girls Service in Bommanahalli - 7001305949 with real photos and phone nu...
Call Girls Service in Bommanahalli - 7001305949 with real photos and phone nu...Call Girls Service in Bommanahalli - 7001305949 with real photos and phone nu...
Call Girls Service in Bommanahalli - 7001305949 with real photos and phone nu...narwatsonia7
 
High Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service Jaipur
High Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service JaipurHigh Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service Jaipur
High Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service Jaipurparulsinha
 
Low Rate Call Girls Pune Esha 9907093804 Short 1500 Night 6000 Best call girl...
Low Rate Call Girls Pune Esha 9907093804 Short 1500 Night 6000 Best call girl...Low Rate Call Girls Pune Esha 9907093804 Short 1500 Night 6000 Best call girl...
Low Rate Call Girls Pune Esha 9907093804 Short 1500 Night 6000 Best call girl...Miss joya
 
See the 2,456 pharmacies on the National E-Pharmacy Platform
See the 2,456 pharmacies on the National E-Pharmacy PlatformSee the 2,456 pharmacies on the National E-Pharmacy Platform
See the 2,456 pharmacies on the National E-Pharmacy PlatformKweku Zurek
 
Call Girls In Andheri East Call 9920874524 Book Hot And Sexy Girls
Call Girls In Andheri East Call 9920874524 Book Hot And Sexy GirlsCall Girls In Andheri East Call 9920874524 Book Hot And Sexy Girls
Call Girls In Andheri East Call 9920874524 Book Hot And Sexy Girlsnehamumbai
 
Mumbai Call Girls Service 9910780858 Real Russian Girls Looking Models
Mumbai Call Girls Service 9910780858 Real Russian Girls Looking ModelsMumbai Call Girls Service 9910780858 Real Russian Girls Looking Models
Mumbai Call Girls Service 9910780858 Real Russian Girls Looking Modelssonalikaur4
 
Book Call Girls in Yelahanka - For 7001305949 Cheap & Best with original Photos
Book Call Girls in Yelahanka - For 7001305949 Cheap & Best with original PhotosBook Call Girls in Yelahanka - For 7001305949 Cheap & Best with original Photos
Book Call Girls in Yelahanka - For 7001305949 Cheap & Best with original Photosnarwatsonia7
 
Russian Call Girls Chickpet - 7001305949 Booking and charges genuine rate for...
Russian Call Girls Chickpet - 7001305949 Booking and charges genuine rate for...Russian Call Girls Chickpet - 7001305949 Booking and charges genuine rate for...
Russian Call Girls Chickpet - 7001305949 Booking and charges genuine rate for...narwatsonia7
 
Call Girls Service In Shyam Nagar Whatsapp 8445551418 Independent Escort Service
Call Girls Service In Shyam Nagar Whatsapp 8445551418 Independent Escort ServiceCall Girls Service In Shyam Nagar Whatsapp 8445551418 Independent Escort Service
Call Girls Service In Shyam Nagar Whatsapp 8445551418 Independent Escort Serviceparulsinha
 
Call Girl Bangalore Nandini 7001305949 Independent Escort Service Bangalore
Call Girl Bangalore Nandini 7001305949 Independent Escort Service BangaloreCall Girl Bangalore Nandini 7001305949 Independent Escort Service Bangalore
Call Girl Bangalore Nandini 7001305949 Independent Escort Service Bangalorenarwatsonia7
 
Call Girl Koramangala | 7001305949 At Low Cost Cash Payment Booking
Call Girl Koramangala | 7001305949 At Low Cost Cash Payment BookingCall Girl Koramangala | 7001305949 At Low Cost Cash Payment Booking
Call Girl Koramangala | 7001305949 At Low Cost Cash Payment Bookingnarwatsonia7
 
Call Girls Service Chennai Jiya 7001305949 Independent Escort Service Chennai
Call Girls Service Chennai Jiya 7001305949 Independent Escort Service ChennaiCall Girls Service Chennai Jiya 7001305949 Independent Escort Service Chennai
Call Girls Service Chennai Jiya 7001305949 Independent Escort Service ChennaiNehru place Escorts
 
call girls in munirka DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in munirka  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in munirka  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in munirka DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️saminamagar
 

Recently uploaded (20)

Call Girls Whitefield Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Whitefield Just Call 7001305949 Top Class Call Girl Service AvailableCall Girls Whitefield Just Call 7001305949 Top Class Call Girl Service Available
Call Girls Whitefield Just Call 7001305949 Top Class Call Girl Service Available
 
Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...
Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...
Russian Call Girl Brookfield - 7001305949 Escorts Service 50% Off with Cash O...
 
VIP Call Girls Lucknow Nandini 7001305949 Independent Escort Service Lucknow
VIP Call Girls Lucknow Nandini 7001305949 Independent Escort Service LucknowVIP Call Girls Lucknow Nandini 7001305949 Independent Escort Service Lucknow
VIP Call Girls Lucknow Nandini 7001305949 Independent Escort Service Lucknow
 
Call Girl Lucknow Mallika 7001305949 Independent Escort Service Lucknow
Call Girl Lucknow Mallika 7001305949 Independent Escort Service LucknowCall Girl Lucknow Mallika 7001305949 Independent Escort Service Lucknow
Call Girl Lucknow Mallika 7001305949 Independent Escort Service Lucknow
 
Call Girls Service Nandiambakkam | 7001305949 At Low Cost Cash Payment Booking
Call Girls Service Nandiambakkam | 7001305949 At Low Cost Cash Payment BookingCall Girls Service Nandiambakkam | 7001305949 At Low Cost Cash Payment Booking
Call Girls Service Nandiambakkam | 7001305949 At Low Cost Cash Payment Booking
 
Call Girls Service Noida Maya 9711199012 Independent Escort Service Noida
Call Girls Service Noida Maya 9711199012 Independent Escort Service NoidaCall Girls Service Noida Maya 9711199012 Independent Escort Service Noida
Call Girls Service Noida Maya 9711199012 Independent Escort Service Noida
 
Low Rate Call Girls Mumbai Suman 9910780858 Independent Escort Service Mumbai
Low Rate Call Girls Mumbai Suman 9910780858 Independent Escort Service MumbaiLow Rate Call Girls Mumbai Suman 9910780858 Independent Escort Service Mumbai
Low Rate Call Girls Mumbai Suman 9910780858 Independent Escort Service Mumbai
 
Call Girls Service in Bommanahalli - 7001305949 with real photos and phone nu...
Call Girls Service in Bommanahalli - 7001305949 with real photos and phone nu...Call Girls Service in Bommanahalli - 7001305949 with real photos and phone nu...
Call Girls Service in Bommanahalli - 7001305949 with real photos and phone nu...
 
High Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service Jaipur
High Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service JaipurHigh Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service Jaipur
High Profile Call Girls Jaipur Vani 8445551418 Independent Escort Service Jaipur
 
Low Rate Call Girls Pune Esha 9907093804 Short 1500 Night 6000 Best call girl...
Low Rate Call Girls Pune Esha 9907093804 Short 1500 Night 6000 Best call girl...Low Rate Call Girls Pune Esha 9907093804 Short 1500 Night 6000 Best call girl...
Low Rate Call Girls Pune Esha 9907093804 Short 1500 Night 6000 Best call girl...
 
See the 2,456 pharmacies on the National E-Pharmacy Platform
See the 2,456 pharmacies on the National E-Pharmacy PlatformSee the 2,456 pharmacies on the National E-Pharmacy Platform
See the 2,456 pharmacies on the National E-Pharmacy Platform
 
Call Girls In Andheri East Call 9920874524 Book Hot And Sexy Girls
Call Girls In Andheri East Call 9920874524 Book Hot And Sexy GirlsCall Girls In Andheri East Call 9920874524 Book Hot And Sexy Girls
Call Girls In Andheri East Call 9920874524 Book Hot And Sexy Girls
 
Mumbai Call Girls Service 9910780858 Real Russian Girls Looking Models
Mumbai Call Girls Service 9910780858 Real Russian Girls Looking ModelsMumbai Call Girls Service 9910780858 Real Russian Girls Looking Models
Mumbai Call Girls Service 9910780858 Real Russian Girls Looking Models
 
Book Call Girls in Yelahanka - For 7001305949 Cheap & Best with original Photos
Book Call Girls in Yelahanka - For 7001305949 Cheap & Best with original PhotosBook Call Girls in Yelahanka - For 7001305949 Cheap & Best with original Photos
Book Call Girls in Yelahanka - For 7001305949 Cheap & Best with original Photos
 
Russian Call Girls Chickpet - 7001305949 Booking and charges genuine rate for...
Russian Call Girls Chickpet - 7001305949 Booking and charges genuine rate for...Russian Call Girls Chickpet - 7001305949 Booking and charges genuine rate for...
Russian Call Girls Chickpet - 7001305949 Booking and charges genuine rate for...
 
Call Girls Service In Shyam Nagar Whatsapp 8445551418 Independent Escort Service
Call Girls Service In Shyam Nagar Whatsapp 8445551418 Independent Escort ServiceCall Girls Service In Shyam Nagar Whatsapp 8445551418 Independent Escort Service
Call Girls Service In Shyam Nagar Whatsapp 8445551418 Independent Escort Service
 
Call Girl Bangalore Nandini 7001305949 Independent Escort Service Bangalore
Call Girl Bangalore Nandini 7001305949 Independent Escort Service BangaloreCall Girl Bangalore Nandini 7001305949 Independent Escort Service Bangalore
Call Girl Bangalore Nandini 7001305949 Independent Escort Service Bangalore
 
Call Girl Koramangala | 7001305949 At Low Cost Cash Payment Booking
Call Girl Koramangala | 7001305949 At Low Cost Cash Payment BookingCall Girl Koramangala | 7001305949 At Low Cost Cash Payment Booking
Call Girl Koramangala | 7001305949 At Low Cost Cash Payment Booking
 
Call Girls Service Chennai Jiya 7001305949 Independent Escort Service Chennai
Call Girls Service Chennai Jiya 7001305949 Independent Escort Service ChennaiCall Girls Service Chennai Jiya 7001305949 Independent Escort Service Chennai
Call Girls Service Chennai Jiya 7001305949 Independent Escort Service Chennai
 
call girls in munirka DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in munirka  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️call girls in munirka  DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
call girls in munirka DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
 

Digital evidence year in review-2017

  • 1. Society for Digital Medicine Digital Medicine: Year in Review John Sharp and Ashish Atreja PCHAlliance/ HIMSS and Mount Sinai @johnsharp @atreja
  • 2. Our Approach • Published in peer-reviewed journals • Pilot and feasibility studies • Validation Studies • RCTs • Literature reviews and meta-analysis
  • 3. Digital Health Innovation Action Plan • Launching an innovative pilot precertification program to work with our customers to develop a new approach to digital health technology oversight (FDA Pre-Cert for Software) 3
  • 4. New CPT codes Approved for Remote Patient Monitoring 11/5/17 CMS Expands Telehealth Reimbursement in New Rule covers remote chronic care management 4
  • 5. PCHAlliance White Paper Including • review of 34 studies, • latest evidence by condition and • call to action 5
  • 7. Problem: Diabetes- chronic disease management Intervention: Remote Monitoring, connected glucometer with AI Control: Usual Care, RCT over 12 months Outcome: 1.9% vs 0.7% mean HbA1c decline in Bluestar arm vs.usual care NODE Pearl: First App to get FDA approved based on evidence. Still not mainstream due to transformation challenge Quinn, C et al, Diabetes Care, 2011
  • 8. From: Effect of Lifestyle-Focused Text Messaging on Risk Factor Modification in Patients With Coronary Heart Disease: A Randomized Clinical Trial JAMA. 2015;314(12):1255-1263. doi:10.1001/jama.2015.10945 Enrollment of Participants in the TEXT-ME Randomized Clinical TrialLDL-C indicates low-density lipoprotein cholesterol. Figure Legend: At 6 months, levels of LDL-C were significantly lower in intervention participants (mean difference, −5 mg/dL with reductions in systolic blood pressure (−7.6 mm Hg) and BMI (−1.3),, and a significant reduction in smoking (26% vs 44%; relative risk, 0.61 [95% CI, 0.48 to 0.76]; P < .001). The majority reported the text-message program to be useful (91%), easy to understand (97%), and appropriate in frequency (86%).
  • 9. SnowWorld (VR) SnowWorld, developed at the University of Washington HITLab is the first immersive virtual world designed for reducing pan and anxiety. SnowWorld was specifically designed to help burn patients. Published RCT of 54 patients show 15-44% Schmitt YS et al, Burns 2011. PMID 20692769 https://www.youtube.com/watch?v=jNIqyyypojg
  • 11. HeadStrong Study in AMI survivors
  • 12.
  • 13. Year 2017 Summary Substantial evidence for • Text messaging and Remote monitoring • Telemedicine in right setting Increasing Evidence for • Wearable devices for right use case • AI Need more Evidence • VR • Blockchain
  • 14. Text messaging Text Messaging and Mobile Phone Apps as Interventions to Improve Adherence in Adolescents With Chronic Health Conditions –JMIR 5/17 Problem – Medication adherence is a major challenge in adolescents with chronic conditions Research design – meta-analysis of 15 studies, most from US Outcome - Seven articles reported significant improvement in adherence NODE Pearl - promising feasibility and acceptability, and there is modest evidence to support the efficacy of these interventions 14
  • 15. Remote monitoring Problem – Is the use of a Blue-tooth enabled inhaler sensor feasible in an elderly population? Intervention – use of Propeller Health inhaler sensor, data transmitted via a wireless hub. Research design – 198 with COPD, 38 with asthma followed for 12 months. Outcome – SABA use decreased by 51%, Symptom-free days increased by 28% NODE Pearl - management of remote monitoring feasible with elderly, COPD management shows long term improvement. 15
  • 16. Telemedicine in right setting Telehealth Interventions to Support Self-Management of Long-Term Conditions – JMIR 5/17 Problem - Self-management support is one mechanism by which telehealth interventions have been proposed to facilitate management of long-term conditions Research Design - Metareview of Diabetes, Heart Failure, Asthma, Chronic Obstructive Pulmonary Disease, and Cancer. 53 systematic reviews, comprising 232 unique RCTs Outcome – Telehealth self monitoring not superior to usual care except in heart failure and type 2 diabetes where the practice is more mature. No reports of harm. NODE Pearl – Studies to date encouraging but more theory based studies needed. 16
  • 17. Wearable devices for right use case Cardiovascular Risk Stratification Using Off-the-Shelf Wearables and a Multi- Task Deep Learning Algorithm – 2017 AHA Scientific Session - UCSF Research Design - 6,115 active users of the Cardiogram app for Apple Watch - Heart rate and step counts were collected for a period of 1 to 53 weeks (mean=8.9). Outcome - Deep Neural Network outperformed a baseline logistic regression model incorporating age, sex, and beta blocker use, predicting prevalent hypertension NODE Pearl – wearables combined with AI demonstrating usefulness in predicting disease events. 17
  • 18. Wearables Problem – Monitoring physical activity essential in Cardiac Rehab Intervention - 40 patients wore Fitbit-Flex for four consecutive days x 8 wks Research design – Measured changes with the Physical Activity Scale for the Elderly (PASE) and 6 minute walk test (6MWT) Outcome – significant increases in PASE score and 6MWT and average steps NODE Pearl – Use of an activity monitor wearable a helpful adjuct to Cardiac Rehab18
  • 19. Year 2017 Pick PLEASE ADD PICO details for 1. Google AI Retinopathy 2. OMADA more 3. ALIVE Cor 4. FDA Digital pill approval 5. Telemedicine failure study
  • 20. Google AI Retinopathy -9963 images from 4997 patients -Algorithm based on deep machine learning had high sensitivity and specificity for detecting referable diabetic retinopathy -NODE Pearl could lead to improved care and outcomes compared with current ophthalmologic assessment 20
  • 21. Virtual Coaching in Diabetes Prevention Programs Outcomes of a Digital Health Program With Human Coaching for Diabetes Risk Reduction in a Medicare Population Method: People at risk for diabetes enrolled in a program combining digital health with human coaching (Omada Health) Outcome: 501 patients, participants lost 7.5% (SD = 7.8%) of initial body weight, glucose control improved (HbA1c change = −0.14%) NODE Pearl: Virtual DPP is an mature intervention which can be applied to other chronic conditions 21
  • 22. Problem -integration of mHealth technology with self-management approaches to improve the detection and management of atrial fibrillation Intervention to determine if an FDA approved wireless ECG monitor designed for use with smartphones (AliveCor™ ECG) could be utilized to detect and manage recurrent AF or other atrial arrhythmias better than usual medical care Research design Subjects with documented history of AF and were scheduled to undergo a cardioversion, intervention group trained in device usage Outcome no significant differences between groups with respect to the prevalence of coronary artery disease, stroke/TIA, congestive heart failure, cardiovascular risk factors, or medication usage. NODE Pearl – Digital self monitoring of AF equally effective as current standard of care and with better quality of life. Journal of AFIB 11/29/17 FIRST APPLE WATCH GADGET CLEARED BY FDA: AliveCor, the manufacturer of EKG gadgets, has expanded to the Apple Watch
  • 23. FDA approves pill with sensor that digitally tracks if patients have ingested their medication 11/13/17 - Abilify MyCite should not be used to track drug ingestion in “real- time” or during an emergency because detection may be delayed or may not occur. Proteus Digital Health. For treatment of Schizophrenia and Bipolar disorder Sends a message from the pill’s sensor to a wearable patch which transmits to a mobile application so that patients can track the ingestion of the medication on their smart phone. NODE Pearl: Encouraging new use of digital in medication adherence; new category - ingestibles 23
  • 25. Conclusions (1) • Evidence in several areas is growing and being featured in major journals: telehealth and remote monitoring, text messaging, virtual coaching and some wearables (CGMs, etc.) • Increasing evidence for use of wearables including for research and AI • More evidence needed for VR, Blockchain 25
  • 26. Conclusions (2) Encouraging new developments with FDA approval of devices to monitor Atrial Fibrillation, Artificial Pancreas for Type 1 Diabetes and an ingestible sensor. More common use of connected devices an apps in research, rehabilitation, post-discharge and procedure follow up Emerging field of Digital Therapeutics which looks to be an adjunct to traditional therapies or to replace them with digital tools. 26

Editor's Notes

  1. Non interactive text messages, 352 patients..
  2. Send to Burns. 2011 Feb;37(1):61-8. doi: 10.1016/j.burns.2010.07.007. Epub 2010 Aug 7. A randomized, controlled trial of immersive virtual reality analgesia, during physical therapy for pediatric burns. Schmitt YS1, Hoffman HG, Blough DK, Patterson DR, Jensen MP, Soltani M, Carrougher GJ, Nakamura D, Sharar SR. Author information Abstract This randomized, controlled, within-subjects (crossover design) study examined the effects of immersive virtual reality as an adjunctive analgesic technique for hospitalized pediatric burn inpatients undergoing painful physical therapy. Fifty-four subjects (6-19 years old) performed range-of-motion exercises under a therapist's direction for 1-5 days. During each session, subjects spent equivalent time in both the virtual reality and the control conditions (treatment order randomized and counterbalanced). Graphic rating scale scores assessing the sensory, affective, and cognitive components of pain were obtained for each treatment condition. Secondary outcomes assessed subjects' perception of the virtual reality experience and maximum range-of-motion. Results showed that on study day one, subjects reported significant decreases (27-44%) in pain ratings during virtual reality. They also reported improved affect ("fun") during virtual reality. The analgesia and affect improvements were maintained with repeated virtual reality use over multiple therapy sessions. Maximum range-of-motion was not different between treatment conditions, but was significantly greater after the second treatment condition (regardless of treatment order). These results suggest that immersive virtual reality is an effective nonpharmacologic, adjunctive pain reduction technique in the pediatric burn population undergoing painful rehabilitation therapy. The magnitude of the analgesic effect is clinically meaningful and is maintained with repeated use. Copyright © 2010 Elsevier Ltd and ISBI. All rights reserved. PMID: 20692769 PMCID: PMC2980790 DOI: 10.1016/j.burns.2010.07.007 [Indexed for MEDLINE] Free PMC Article
  3. What is the effect of wireless technology and behavioral economic approaches on vascular rehospitalization and medication adherence in a health plan–based intervention for acute myocardial infarction survivors? 1500 patients AMI (Heart attack) patients post-discharge from hospital Daily lotteries for financial prizes Connected pill bottles Engagement advisor Family support 12month follow no difference in readmissions, mortality, medication adherence, or medical costs between the intervention and control groups.