SlideShare a Scribd company logo
1 of 40
1
Digital Medicine:
Returning Patients to the Center of Healthcare
George Savage, Co-Founder & Chief Medical Officer
Proteus Digital Health
Predictive Analytics World
October 30, 2017
@ProteusDH
2
3
4
Prescribe
Treat
Record
Response
Assess
Diagnose
5
Prescribe
Treat
Record
Response
Assess
Diagnose
6
7
JAMA. 1999;281(1):61-66. doi:10.1001/jama.281.1.61
8
https://www.cdc.gov/mmwr/preview/mmwrhtml/mm4838a2.htm
9
10
11
12
13
14
Prescribe
Treat
Record
Response
Assess
Diagnose
15
16
Poor Treatment Adherence Problem
WHO 20033
Poor adherence to treatment of chronic diseases
is a worldwide problem of striking magnitude
Adherence to long-term therapy for chronic
illnesses in developed countries averages 50%
The impact of poor adherence grows as the
burden of chronic disease grows worldwide
The consequences of poor adherence to long-term
therapies are poor health outcomes and increased
health care costs
Improving adherence also enhances patients’
safety
Adherence is an important modifier of health
system effectiveness
Medication adherence
in heart failure1
Sources:
(1) Hauptman J, Heart Fail rev 2008;13:99
(2) Wong J, Can J Neurol Sci 2011; 38: 429
(3) Sabate E, WHO 2003, pp xiii-xiv.
Medication adherence
in multiple sclerosis2
17
Treatment Adherence Affects Outcomes
Kidney Transplantation1
Poor adherence to immunosuppression is
associated to graft loss
Tuberculosis2
Enhancing treatment adherence by directly
observed therapy (DOT) reduces relapses
and multi-drug resistance
Source:
(1) Pinsky BW, et al. Am J Transplant 2009; 9 :2597
(2) Weiss SE et al, N Engl J Med 1994;330:1179
Hazard ratio (p<0.001)
Fair adherence 1,63
Poor adherence 1,80
Rate(per100’000population)
18
19
20
21
22
23
A new paradigm: ingestible computing
Tiny sensors are
embedded inside
small pills
A specified pharmacy puts these
pills inside a capsule along with
the patient's prescribed
medication on order of a physician
The sensor contains tiny amounts of silicon,
copper and magnesium that pass through
the body naturally, just like food
24
How it works
The sensor sends a
signal to the patch as it
passes through the
stomach
The patch sends this
information to the app
along with records of
activity and rest
The app allows patients
to see how they are
doing and share this with
their health care team via
the portal
Medications
with sensors
Used by patients Used by healthcare teams
Patch Discover app Discover portal
25
Medications
with sensors
Prescribe
Treat
Record
Response
Assess
Diagnose
26
27
28
Digital Medicines successful in “drug-refractory” hypertension and diabetes
Change in SBP
(mm Hg)
Change in LDL
(mg/dL)
Change in A1c
(%, Baseline ≥8)
Enter Trial: Week 24 after 24 weeks Analog Medicines: 0% at BP Goal
Complete Trial: Week 12 after 12 weeks Digital Medicines: 98% at BP Goal
Proteus Digital Medicines in Clinical Trial
Usual Care Analog Medicines in Clinical Trial
-24.6
-15.2
-30.1
-10.9 -0.31
0.26
Study Population, n=109
• SBP ≥140 mm Hg
• A1c ≥7%
• Diabetes duration ~10y
• Mean age = 59
• 57% earn < $20k/y
• 31% < high school
• 46% Hispanic
• 16% African American
• 22% psych comorbidity
• Ingestion adherence:
84% (12 weeks)
• Patch wear:
85%
• Patient satisfaction:
>90% stated digital
medicines easy to use
and helped take meds
regularly
• Net promoter score:
55 (patients)
57 (providers)
29
Real-world commercial experience shows a similar effect
Population
(N = 53; 40 have ≥6
months of data)
• Diagnosed CV or T2DM
• Mean age = 62
• 51% female
• 30% psychiatric
comorbidities
• 64% alcohol use
• 79% Caucasian
• Adherence:
87% (4 week use case)
• Patch wear:
94%
• Ease of use /
satisfaction:
95% stated Discover
easy learn to use
90% felt more
connected to their
healthcare team
84% said Discover
helped them understand
the importance of taking
meds regularly
154.4
90.8
139.4
82.0
140.5
83.3
60
100
140
Systolic Diastolic
90-day Pre-Proteus Proteus (avg 34 days) Follow-up (after off-boarding; average 165 days)
Reduction in SBP at follow-
up: -12.4 mm Hg; p<0.001
Reduction in
DBP at folllow-
up: -6.2 mm
Hg; p<0.001
BloodPressure(mmHg)
0.000
0.020
0.040
0.060
0.080
0.100
0.120
0.140
0.160
-12 -8 -4 0 4 8
37% reduction in ED visits
EmergencyDepartmentVisits/
Patient-Month
N=53; Mean ED visits on a per patient month difference [Pre:
0.094; Post: 0.059; Difference: -0.035; p-value: 0.280]
Months (Pre or Post-Discover start)
N=35 N=32 N=30 N=35 N=32 N=30
30
It is possible to achieve near-perfect adherence in high-risk hepatitis C patients
RESTRICTED
Medication pattern (Ledipasvir and Sofosbuvir)
Virologic outcomes:
• 20 patients with SVR12+
• 2 patients relapsed (one with documented suboptimal adherence
of <90% and the other with adherence ≥95%)2
Analytics-driven interventions
resulted in high medication
adherence in patients with
psychiatric comorbidities and
transient living situations
A targeted intervention
protocol for high risk Hepatitis
C patients with Proteus
Discover led to 97% of
adherence rate1
Study Population
• Number of patients: 283
• 1,838 days on Proteus
Discover
• Risk factors for poor
adherence include low
income (82% had <$25,000
annual income), current or
prior history of drug abuse
(for 39% of the population)
and psychiatric
comorbidities (for 46% of
the population)
• 39% patients required
targeted interventions
Footnotes:
1. Includes Proteus Discover analytics-
driven interventions
2. Other results pending
3. One patient discontinued although
interventions led to better adherence
92.0% 92.0% 88.0%
0%
20%
40%
60%
80%
100%
"DMO was easy to use in the
daily routine"
"Seeing data helped feel more
involved in the healthcare
treatment"
"DMO helped understand the
pattern of medication taking and
feel more connected to the
healthcare team"
Agree No comment / Disagree
Results Include Cure And High Patient Satisfaction
High Risk Patient Receives Intervention 44% of Time
31
50%
86%
84%
87%
94%
96%
97%
Average Adherence without Proteus
CMB Study (after 4 weeks on Proteus
Discover)
CMB Study (after 12 weeks on Proteus
Discover)
Real-World CMB Use Case (4 weeks on
Proteus Discover)
Pulmonary Arterial Hypertension (12 weeks
on Proteus Discover)
Tuberculosis Study (up to 14 weeks on
Proteus Discover)
Hepatitis C (8 - 12 weeks on Proteus
Discover)
Best Adherence Without Proteus
(based on medication possession data)
Adherence With Proteus
(based on medication ingestion data)
Digital Medicines yield similar effect across multiple conditions
“Wirelessly Observed Therapy”
captured 48% more doses than the
gold standard of directly observed
therapy
81% BP at goal after 4 weeks of
Discover Use
98% BP at goal after 12 weeks of
Discover Use
Demonstrated durability of BP effect
and downward trend in ED visits
Root cause for unresponsiveness to
treatment identified; Discover enabled
targeted treatment recommendations
High Adherence noted in patients with
risk factors for poor compliance
Widespread lack of medication
effectiveness
32
33
34
35
Moore’s Law for technology, Eroom’s Law for pharma
36
37
38
39
40

More Related Content

What's hot

Key Issues on the Economics of Precision Medicine
Key Issues on the Economics of Precision MedicineKey Issues on the Economics of Precision Medicine
Key Issues on the Economics of Precision MedicineHEHTAslides
 
Improving the Focus of Precision Medicine: the Role of Health Technology Asse...
Improving the Focus of Precision Medicine: the Role of Health Technology Asse...Improving the Focus of Precision Medicine: the Role of Health Technology Asse...
Improving the Focus of Precision Medicine: the Role of Health Technology Asse...HEHTAslides
 
Analytics in healthcare
Analytics in healthcareAnalytics in healthcare
Analytics in healthcareAnushkaAlok
 
Introduction to Healthcare Analytics
Introduction to Healthcare Analytics Introduction to Healthcare Analytics
Introduction to Healthcare Analytics Experfy
 
The Scottish Ecosystem for Precision Medicine
The Scottish Ecosystem for Precision MedicineThe Scottish Ecosystem for Precision Medicine
The Scottish Ecosystem for Precision MedicineHEHTAslides
 
Surrogate endpoints in global health research: still searching for killer app...
Surrogate endpoints in global health research: still searching for killer app...Surrogate endpoints in global health research: still searching for killer app...
Surrogate endpoints in global health research: still searching for killer app...SystemOne
 
The role of real world data and evidence in building a sustainable & efficien...
The role of real world data and evidence in building a sustainable & efficien...The role of real world data and evidence in building a sustainable & efficien...
The role of real world data and evidence in building a sustainable & efficien...Office of Health Economics
 
MicroGuide app, pop up uni, 1pm, 3 september 2015
MicroGuide app, pop up uni, 1pm, 3 september 2015MicroGuide app, pop up uni, 1pm, 3 september 2015
MicroGuide app, pop up uni, 1pm, 3 september 2015NHS England
 
Real-World Data – What’s Next? by Michael Seewald, AstraZeneca for mHealth Is...
Real-World Data – What’s Next? by Michael Seewald, AstraZeneca for mHealth Is...Real-World Data – What’s Next? by Michael Seewald, AstraZeneca for mHealth Is...
Real-World Data – What’s Next? by Michael Seewald, AstraZeneca for mHealth Is...Levi Shapiro
 
Healthcare analytics
Healthcare analytics Healthcare analytics
Healthcare analytics Arun K
 
mHealth solutions method for the coordinated health care
mHealth solutions method for the coordinated health caremHealth solutions method for the coordinated health care
mHealth solutions method for the coordinated health care3GDR
 
Electronic Medication Reconciliation - Improving patient safety through e-med...
Electronic Medication Reconciliation - Improving patient safety through e-med...Electronic Medication Reconciliation - Improving patient safety through e-med...
Electronic Medication Reconciliation - Improving patient safety through e-med...Health Informatics New Zealand
 
The Importance of Paid Search In Omnichannel Campaigns
The Importance of Paid Search In Omnichannel CampaignsThe Importance of Paid Search In Omnichannel Campaigns
The Importance of Paid Search In Omnichannel CampaignsMediaPost
 
Pharma challenges - Patient Centricity and Digital Capabilities
Pharma challenges - Patient Centricity and Digital CapabilitiesPharma challenges - Patient Centricity and Digital Capabilities
Pharma challenges - Patient Centricity and Digital CapabilitiesJoana Santos Silva
 
Evidence in Digital Healthcare
Evidence in Digital HealthcareEvidence in Digital Healthcare
Evidence in Digital HealthcareIdh Warwick
 
Drug-Drug Interaction Alerts: Time for a New Paradigm
Drug-Drug Interaction Alerts:  Time for a New ParadigmDrug-Drug Interaction Alerts:  Time for a New Paradigm
Drug-Drug Interaction Alerts: Time for a New ParadigmJon Duke, MD, MS
 
Five Keys To Success In The New Patient Economy
Five Keys To Success In The New Patient EconomyFive Keys To Success In The New Patient Economy
Five Keys To Success In The New Patient EconomyRAPP
 
IMS Health Enriched Real-World Data Study
IMS Health Enriched Real-World Data StudyIMS Health Enriched Real-World Data Study
IMS Health Enriched Real-World Data StudyIMSHealthRWES
 

What's hot (20)

Key Issues on the Economics of Precision Medicine
Key Issues on the Economics of Precision MedicineKey Issues on the Economics of Precision Medicine
Key Issues on the Economics of Precision Medicine
 
Improving the Focus of Precision Medicine: the Role of Health Technology Asse...
Improving the Focus of Precision Medicine: the Role of Health Technology Asse...Improving the Focus of Precision Medicine: the Role of Health Technology Asse...
Improving the Focus of Precision Medicine: the Role of Health Technology Asse...
 
Analytics in healthcare
Analytics in healthcareAnalytics in healthcare
Analytics in healthcare
 
Introduction to Healthcare Analytics
Introduction to Healthcare Analytics Introduction to Healthcare Analytics
Introduction to Healthcare Analytics
 
The Scottish Ecosystem for Precision Medicine
The Scottish Ecosystem for Precision MedicineThe Scottish Ecosystem for Precision Medicine
The Scottish Ecosystem for Precision Medicine
 
A batch of one
A batch of one  A batch of one
A batch of one
 
Surrogate endpoints in global health research: still searching for killer app...
Surrogate endpoints in global health research: still searching for killer app...Surrogate endpoints in global health research: still searching for killer app...
Surrogate endpoints in global health research: still searching for killer app...
 
The role of real world data and evidence in building a sustainable & efficien...
The role of real world data and evidence in building a sustainable & efficien...The role of real world data and evidence in building a sustainable & efficien...
The role of real world data and evidence in building a sustainable & efficien...
 
MicroGuide app, pop up uni, 1pm, 3 september 2015
MicroGuide app, pop up uni, 1pm, 3 september 2015MicroGuide app, pop up uni, 1pm, 3 september 2015
MicroGuide app, pop up uni, 1pm, 3 september 2015
 
Real-World Data – What’s Next? by Michael Seewald, AstraZeneca for mHealth Is...
Real-World Data – What’s Next? by Michael Seewald, AstraZeneca for mHealth Is...Real-World Data – What’s Next? by Michael Seewald, AstraZeneca for mHealth Is...
Real-World Data – What’s Next? by Michael Seewald, AstraZeneca for mHealth Is...
 
Healthcare analytics
Healthcare analytics Healthcare analytics
Healthcare analytics
 
mHealth solutions method for the coordinated health care
mHealth solutions method for the coordinated health caremHealth solutions method for the coordinated health care
mHealth solutions method for the coordinated health care
 
Electronic Medication Reconciliation - Improving patient safety through e-med...
Electronic Medication Reconciliation - Improving patient safety through e-med...Electronic Medication Reconciliation - Improving patient safety through e-med...
Electronic Medication Reconciliation - Improving patient safety through e-med...
 
Emerging Technologies and the Quality of Care
Emerging Technologies and the Quality of CareEmerging Technologies and the Quality of Care
Emerging Technologies and the Quality of Care
 
The Importance of Paid Search In Omnichannel Campaigns
The Importance of Paid Search In Omnichannel CampaignsThe Importance of Paid Search In Omnichannel Campaigns
The Importance of Paid Search In Omnichannel Campaigns
 
Pharma challenges - Patient Centricity and Digital Capabilities
Pharma challenges - Patient Centricity and Digital CapabilitiesPharma challenges - Patient Centricity and Digital Capabilities
Pharma challenges - Patient Centricity and Digital Capabilities
 
Evidence in Digital Healthcare
Evidence in Digital HealthcareEvidence in Digital Healthcare
Evidence in Digital Healthcare
 
Drug-Drug Interaction Alerts: Time for a New Paradigm
Drug-Drug Interaction Alerts:  Time for a New ParadigmDrug-Drug Interaction Alerts:  Time for a New Paradigm
Drug-Drug Interaction Alerts: Time for a New Paradigm
 
Five Keys To Success In The New Patient Economy
Five Keys To Success In The New Patient EconomyFive Keys To Success In The New Patient Economy
Five Keys To Success In The New Patient Economy
 
IMS Health Enriched Real-World Data Study
IMS Health Enriched Real-World Data StudyIMS Health Enriched Real-World Data Study
IMS Health Enriched Real-World Data Study
 

Similar to 850 keynote savage_using his laptop

Hbp Stategy Hypertension Management Initiative Feb07
Hbp Stategy Hypertension Management Initiative Feb07Hbp Stategy Hypertension Management Initiative Feb07
Hbp Stategy Hypertension Management Initiative Feb07primary
 
Welch 2015 Telemedicine and eHealth (1)
Welch 2015 Telemedicine and eHealth (1)Welch 2015 Telemedicine and eHealth (1)
Welch 2015 Telemedicine and eHealth (1)Garry Welch
 
The coming era of digital therapeutics nrc live - sept 2018
The coming era of digital therapeutics   nrc live - sept 2018The coming era of digital therapeutics   nrc live - sept 2018
The coming era of digital therapeutics nrc live - sept 2018Chris Hogg
 
Patient support programmes within medicines optimisation – the pros and cons
Patient support programmes within medicines optimisation – the pros and consPatient support programmes within medicines optimisation – the pros and cons
Patient support programmes within medicines optimisation – the pros and consPM Society
 
Gns healthcare carol mccall
Gns healthcare   carol mccallGns healthcare   carol mccall
Gns healthcare carol mccallmlkrgr
 
Population health management anderson
Population health management andersonPopulation health management anderson
Population health management andersonBenjamin Pease
 
Non-Compliance.pptxaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
Non-Compliance.pptxaaaaaaaaaaaaaaaaaaaaaaaaaaaaaNon-Compliance.pptxaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
Non-Compliance.pptxaaaaaaaaaaaaaaaaaaaaaaaaaaaaaRehanRustam2
 
applied margin presentation leiden 2016 v2.0
applied margin presentation leiden 2016 v2.0applied margin presentation leiden 2016 v2.0
applied margin presentation leiden 2016 v2.0Richard Littlewood
 
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
 
Introduction of the NZ Health IT Plan enables better gout management
Introduction of the NZ Health IT Plan enables better gout managementIntroduction of the NZ Health IT Plan enables better gout management
Introduction of the NZ Health IT Plan enables better gout managementHealth Informatics New Zealand
 
Predictors of Change in Adherence Status from 1 Year to the Next Among Patien...
Predictors of Change in Adherence Status from 1 Year to the Next Among Patien...Predictors of Change in Adherence Status from 1 Year to the Next Among Patien...
Predictors of Change in Adherence Status from 1 Year to the Next Among Patien...Vishal Saundankar MS, PGDMM, BS (PHARMACY)
 
Dia Care-2001-Clark-1079-86 (1)
Dia Care-2001-Clark-1079-86 (1)Dia Care-2001-Clark-1079-86 (1)
Dia Care-2001-Clark-1079-86 (1)Denise Burgh, MBA
 
Anton Pozniak: "The Test and Treat Approach: Achieving 90-90-90"
Anton Pozniak: "The Test and Treat Approach: Achieving 90-90-90"Anton Pozniak: "The Test and Treat Approach: Achieving 90-90-90"
Anton Pozniak: "The Test and Treat Approach: Achieving 90-90-90"HopkinsCFAR
 
PROFESSOR JONATHAN CHICK - ANTIPATHY OR NAIVETY: 12-STEP FACILITATION IN UK H...
PROFESSOR JONATHAN CHICK - ANTIPATHY OR NAIVETY: 12-STEP FACILITATION IN UK H...PROFESSOR JONATHAN CHICK - ANTIPATHY OR NAIVETY: 12-STEP FACILITATION IN UK H...
PROFESSOR JONATHAN CHICK - ANTIPATHY OR NAIVETY: 12-STEP FACILITATION IN UK H...iCAADEvents
 
DKA Readmission Research Fellow Study 8.12.16
DKA Readmission Research Fellow Study 8.12.16DKA Readmission Research Fellow Study 8.12.16
DKA Readmission Research Fellow Study 8.12.16Susan Moon
 

Similar to 850 keynote savage_using his laptop (20)

Hbp Stategy Hypertension Management Initiative Feb07
Hbp Stategy Hypertension Management Initiative Feb07Hbp Stategy Hypertension Management Initiative Feb07
Hbp Stategy Hypertension Management Initiative Feb07
 
Welch 2015 Telemedicine and eHealth (1)
Welch 2015 Telemedicine and eHealth (1)Welch 2015 Telemedicine and eHealth (1)
Welch 2015 Telemedicine and eHealth (1)
 
The coming era of digital therapeutics nrc live - sept 2018
The coming era of digital therapeutics   nrc live - sept 2018The coming era of digital therapeutics   nrc live - sept 2018
The coming era of digital therapeutics nrc live - sept 2018
 
Patient support programmes within medicines optimisation – the pros and cons
Patient support programmes within medicines optimisation – the pros and consPatient support programmes within medicines optimisation – the pros and cons
Patient support programmes within medicines optimisation – the pros and cons
 
Physician Attitudes Toward Regionalization of Adult Critical Care 1.6.09
Physician Attitudes Toward Regionalization of Adult Critical Care 1.6.09Physician Attitudes Toward Regionalization of Adult Critical Care 1.6.09
Physician Attitudes Toward Regionalization of Adult Critical Care 1.6.09
 
Gns healthcare carol mccall
Gns healthcare   carol mccallGns healthcare   carol mccall
Gns healthcare carol mccall
 
Population health management anderson
Population health management andersonPopulation health management anderson
Population health management anderson
 
Non-Compliance.pptxaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
Non-Compliance.pptxaaaaaaaaaaaaaaaaaaaaaaaaaaaaaNon-Compliance.pptxaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
Non-Compliance.pptxaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
 
applied margin presentation leiden 2016 v2.0
applied margin presentation leiden 2016 v2.0applied margin presentation leiden 2016 v2.0
applied margin presentation leiden 2016 v2.0
 
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
 
Video Directly Observed Therapy for Treatment Adherence Monitoring
Video Directly Observed Therapy for Treatment Adherence MonitoringVideo Directly Observed Therapy for Treatment Adherence Monitoring
Video Directly Observed Therapy for Treatment Adherence Monitoring
 
Introduction of the NZ Health IT Plan enables better gout management
Introduction of the NZ Health IT Plan enables better gout managementIntroduction of the NZ Health IT Plan enables better gout management
Introduction of the NZ Health IT Plan enables better gout management
 
Predictors of Change in Adherence Status from 1 Year to the Next Among Patien...
Predictors of Change in Adherence Status from 1 Year to the Next Among Patien...Predictors of Change in Adherence Status from 1 Year to the Next Among Patien...
Predictors of Change in Adherence Status from 1 Year to the Next Among Patien...
 
Aderenta si riscul cardiovascul
Aderenta si riscul cardiovasculAderenta si riscul cardiovascul
Aderenta si riscul cardiovascul
 
Dia Care-2001-Clark-1079-86 (1)
Dia Care-2001-Clark-1079-86 (1)Dia Care-2001-Clark-1079-86 (1)
Dia Care-2001-Clark-1079-86 (1)
 
karan singh
karan singhkaran singh
karan singh
 
Anton Pozniak: "The Test and Treat Approach: Achieving 90-90-90"
Anton Pozniak: "The Test and Treat Approach: Achieving 90-90-90"Anton Pozniak: "The Test and Treat Approach: Achieving 90-90-90"
Anton Pozniak: "The Test and Treat Approach: Achieving 90-90-90"
 
What Works in Chronic Care Management 6.12.09
What Works in Chronic Care Management 6.12.09What Works in Chronic Care Management 6.12.09
What Works in Chronic Care Management 6.12.09
 
PROFESSOR JONATHAN CHICK - ANTIPATHY OR NAIVETY: 12-STEP FACILITATION IN UK H...
PROFESSOR JONATHAN CHICK - ANTIPATHY OR NAIVETY: 12-STEP FACILITATION IN UK H...PROFESSOR JONATHAN CHICK - ANTIPATHY OR NAIVETY: 12-STEP FACILITATION IN UK H...
PROFESSOR JONATHAN CHICK - ANTIPATHY OR NAIVETY: 12-STEP FACILITATION IN UK H...
 
DKA Readmission Research Fellow Study 8.12.16
DKA Readmission Research Fellow Study 8.12.16DKA Readmission Research Fellow Study 8.12.16
DKA Readmission Research Fellow Study 8.12.16
 

More from Rising Media, Inc.

1415 track 1 wu_using his laptop
1415 track 1 wu_using his laptop1415 track 1 wu_using his laptop
1415 track 1 wu_using his laptopRising Media, Inc.
 
1620 keynote olson_using our laptop
1620 keynote olson_using our laptop1620 keynote olson_using our laptop
1620 keynote olson_using our laptopRising Media, Inc.
 
1530 track 2 stuart_using our laptop
1530 track 2 stuart_using our laptop1530 track 2 stuart_using our laptop
1530 track 2 stuart_using our laptopRising Media, Inc.
 
1530 track 1 fader_using our laptop
1530 track 1 fader_using our laptop1530 track 1 fader_using our laptop
1530 track 1 fader_using our laptopRising Media, Inc.
 
1215 daa lunch owusu_using our laptop
1215 daa lunch owusu_using our laptop1215 daa lunch owusu_using our laptop
1215 daa lunch owusu_using our laptopRising Media, Inc.
 
1215 daa lunch a bos intro slides_using our laptop
1215 daa lunch a bos intro slides_using our laptop1215 daa lunch a bos intro slides_using our laptop
1215 daa lunch a bos intro slides_using our laptopRising Media, Inc.
 
855 sponsor movassate_using our laptop
855 sponsor movassate_using our laptop855 sponsor movassate_using our laptop
855 sponsor movassate_using our laptopRising Media, Inc.
 
905 keynote peele_using our laptop
905 keynote peele_using our laptop905 keynote peele_using our laptop
905 keynote peele_using our laptopRising Media, Inc.
 
940 sponsor kallakuri_do not share
940 sponsor kallakuri_do not share940 sponsor kallakuri_do not share
940 sponsor kallakuri_do not shareRising Media, Inc.
 

More from Rising Media, Inc. (20)

1415 track 1 wu_using his laptop
1415 track 1 wu_using his laptop1415 track 1 wu_using his laptop
1415 track 1 wu_using his laptop
 
Matt gershoff
Matt gershoffMatt gershoff
Matt gershoff
 
Keynote adam greco
Keynote adam grecoKeynote adam greco
Keynote adam greco
 
1620 keynote olson_using our laptop
1620 keynote olson_using our laptop1620 keynote olson_using our laptop
1620 keynote olson_using our laptop
 
1530 track 2 stuart_using our laptop
1530 track 2 stuart_using our laptop1530 track 2 stuart_using our laptop
1530 track 2 stuart_using our laptop
 
1530 track 1 fader_using our laptop
1530 track 1 fader_using our laptop1530 track 1 fader_using our laptop
1530 track 1 fader_using our laptop
 
1415 track 2 richardson
1415 track 2 richardson1415 track 2 richardson
1415 track 2 richardson
 
1215 daa lunch owusu_using our laptop
1215 daa lunch owusu_using our laptop1215 daa lunch owusu_using our laptop
1215 daa lunch owusu_using our laptop
 
1215 daa lunch a bos intro slides_using our laptop
1215 daa lunch a bos intro slides_using our laptop1215 daa lunch a bos intro slides_using our laptop
1215 daa lunch a bos intro slides_using our laptop
 
915 e metrics_claudia perlich
915 e metrics_claudia perlich915 e metrics_claudia perlich
915 e metrics_claudia perlich
 
855 sponsor movassate_using our laptop
855 sponsor movassate_using our laptop855 sponsor movassate_using our laptop
855 sponsor movassate_using our laptop
 
1615 plack using our laptop
1615 plack using our laptop1615 plack using our laptop
1615 plack using our laptop
 
1530 rimmele do not share
1530 rimmele do not share1530 rimmele do not share
1530 rimmele do not share
 
1000 kondic do not share
1000 kondic do not share1000 kondic do not share
1000 kondic do not share
 
905 keynote peele_using our laptop
905 keynote peele_using our laptop905 keynote peele_using our laptop
905 keynote peele_using our laptop
 
Stephen morse sharable
Stephen morse sharableStephen morse sharable
Stephen morse sharable
 
Elder shareable
Elder shareableElder shareable
Elder shareable
 
1115 ramirez using our laptop
1115 ramirez using our laptop1115 ramirez using our laptop
1115 ramirez using our laptop
 
1000 grandy using our laptop
1000 grandy using our laptop1000 grandy using our laptop
1000 grandy using our laptop
 
940 sponsor kallakuri_do not share
940 sponsor kallakuri_do not share940 sponsor kallakuri_do not share
940 sponsor kallakuri_do not share
 

Recently uploaded

Halmar dropshipping via API with DroFx
Halmar  dropshipping  via API with DroFxHalmar  dropshipping  via API with DroFx
Halmar dropshipping via API with DroFxolyaivanovalion
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxolyaivanovalion
 
100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptxAnupama Kate
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionfulawalesam
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130Suhani Kapoor
 
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改atducpo
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxolyaivanovalion
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Callshivangimorya083
 
CebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxCebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxolyaivanovalion
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% SecurePooja Nehwal
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfRachmat Ramadhan H
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxJohnnyPlasten
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxolyaivanovalion
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxolyaivanovalion
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998YohFuh
 

Recently uploaded (20)

꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
 
Halmar dropshipping via API with DroFx
Halmar  dropshipping  via API with DroFxHalmar  dropshipping  via API with DroFx
Halmar dropshipping via API with DroFx
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptx
 
100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interaction
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
 
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
 
Sampling (random) method and Non random.ppt
Sampling (random) method and Non random.pptSampling (random) method and Non random.ppt
Sampling (random) method and Non random.ppt
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptx
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
 
CebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxCebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptx
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptx
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFx
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptx
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998
 

850 keynote savage_using his laptop

  • 1. 1 Digital Medicine: Returning Patients to the Center of Healthcare George Savage, Co-Founder & Chief Medical Officer Proteus Digital Health Predictive Analytics World October 30, 2017 @ProteusDH
  • 2. 2
  • 3. 3
  • 6. 6
  • 9. 9
  • 10. 10
  • 11. 11
  • 12. 12
  • 13. 13
  • 15. 15
  • 16. 16 Poor Treatment Adherence Problem WHO 20033 Poor adherence to treatment of chronic diseases is a worldwide problem of striking magnitude Adherence to long-term therapy for chronic illnesses in developed countries averages 50% The impact of poor adherence grows as the burden of chronic disease grows worldwide The consequences of poor adherence to long-term therapies are poor health outcomes and increased health care costs Improving adherence also enhances patients’ safety Adherence is an important modifier of health system effectiveness Medication adherence in heart failure1 Sources: (1) Hauptman J, Heart Fail rev 2008;13:99 (2) Wong J, Can J Neurol Sci 2011; 38: 429 (3) Sabate E, WHO 2003, pp xiii-xiv. Medication adherence in multiple sclerosis2
  • 17. 17 Treatment Adherence Affects Outcomes Kidney Transplantation1 Poor adherence to immunosuppression is associated to graft loss Tuberculosis2 Enhancing treatment adherence by directly observed therapy (DOT) reduces relapses and multi-drug resistance Source: (1) Pinsky BW, et al. Am J Transplant 2009; 9 :2597 (2) Weiss SE et al, N Engl J Med 1994;330:1179 Hazard ratio (p<0.001) Fair adherence 1,63 Poor adherence 1,80 Rate(per100’000population)
  • 18. 18
  • 19. 19
  • 20. 20
  • 21. 21
  • 22. 22
  • 23. 23 A new paradigm: ingestible computing Tiny sensors are embedded inside small pills A specified pharmacy puts these pills inside a capsule along with the patient's prescribed medication on order of a physician The sensor contains tiny amounts of silicon, copper and magnesium that pass through the body naturally, just like food
  • 24. 24 How it works The sensor sends a signal to the patch as it passes through the stomach The patch sends this information to the app along with records of activity and rest The app allows patients to see how they are doing and share this with their health care team via the portal Medications with sensors Used by patients Used by healthcare teams Patch Discover app Discover portal
  • 26. 26
  • 27. 27
  • 28. 28 Digital Medicines successful in “drug-refractory” hypertension and diabetes Change in SBP (mm Hg) Change in LDL (mg/dL) Change in A1c (%, Baseline ≥8) Enter Trial: Week 24 after 24 weeks Analog Medicines: 0% at BP Goal Complete Trial: Week 12 after 12 weeks Digital Medicines: 98% at BP Goal Proteus Digital Medicines in Clinical Trial Usual Care Analog Medicines in Clinical Trial -24.6 -15.2 -30.1 -10.9 -0.31 0.26 Study Population, n=109 • SBP ≥140 mm Hg • A1c ≥7% • Diabetes duration ~10y • Mean age = 59 • 57% earn < $20k/y • 31% < high school • 46% Hispanic • 16% African American • 22% psych comorbidity • Ingestion adherence: 84% (12 weeks) • Patch wear: 85% • Patient satisfaction: >90% stated digital medicines easy to use and helped take meds regularly • Net promoter score: 55 (patients) 57 (providers)
  • 29. 29 Real-world commercial experience shows a similar effect Population (N = 53; 40 have ≥6 months of data) • Diagnosed CV or T2DM • Mean age = 62 • 51% female • 30% psychiatric comorbidities • 64% alcohol use • 79% Caucasian • Adherence: 87% (4 week use case) • Patch wear: 94% • Ease of use / satisfaction: 95% stated Discover easy learn to use 90% felt more connected to their healthcare team 84% said Discover helped them understand the importance of taking meds regularly 154.4 90.8 139.4 82.0 140.5 83.3 60 100 140 Systolic Diastolic 90-day Pre-Proteus Proteus (avg 34 days) Follow-up (after off-boarding; average 165 days) Reduction in SBP at follow- up: -12.4 mm Hg; p<0.001 Reduction in DBP at folllow- up: -6.2 mm Hg; p<0.001 BloodPressure(mmHg) 0.000 0.020 0.040 0.060 0.080 0.100 0.120 0.140 0.160 -12 -8 -4 0 4 8 37% reduction in ED visits EmergencyDepartmentVisits/ Patient-Month N=53; Mean ED visits on a per patient month difference [Pre: 0.094; Post: 0.059; Difference: -0.035; p-value: 0.280] Months (Pre or Post-Discover start) N=35 N=32 N=30 N=35 N=32 N=30
  • 30. 30 It is possible to achieve near-perfect adherence in high-risk hepatitis C patients RESTRICTED Medication pattern (Ledipasvir and Sofosbuvir) Virologic outcomes: • 20 patients with SVR12+ • 2 patients relapsed (one with documented suboptimal adherence of <90% and the other with adherence ≥95%)2 Analytics-driven interventions resulted in high medication adherence in patients with psychiatric comorbidities and transient living situations A targeted intervention protocol for high risk Hepatitis C patients with Proteus Discover led to 97% of adherence rate1 Study Population • Number of patients: 283 • 1,838 days on Proteus Discover • Risk factors for poor adherence include low income (82% had <$25,000 annual income), current or prior history of drug abuse (for 39% of the population) and psychiatric comorbidities (for 46% of the population) • 39% patients required targeted interventions Footnotes: 1. Includes Proteus Discover analytics- driven interventions 2. Other results pending 3. One patient discontinued although interventions led to better adherence 92.0% 92.0% 88.0% 0% 20% 40% 60% 80% 100% "DMO was easy to use in the daily routine" "Seeing data helped feel more involved in the healthcare treatment" "DMO helped understand the pattern of medication taking and feel more connected to the healthcare team" Agree No comment / Disagree Results Include Cure And High Patient Satisfaction High Risk Patient Receives Intervention 44% of Time
  • 31. 31 50% 86% 84% 87% 94% 96% 97% Average Adherence without Proteus CMB Study (after 4 weeks on Proteus Discover) CMB Study (after 12 weeks on Proteus Discover) Real-World CMB Use Case (4 weeks on Proteus Discover) Pulmonary Arterial Hypertension (12 weeks on Proteus Discover) Tuberculosis Study (up to 14 weeks on Proteus Discover) Hepatitis C (8 - 12 weeks on Proteus Discover) Best Adherence Without Proteus (based on medication possession data) Adherence With Proteus (based on medication ingestion data) Digital Medicines yield similar effect across multiple conditions “Wirelessly Observed Therapy” captured 48% more doses than the gold standard of directly observed therapy 81% BP at goal after 4 weeks of Discover Use 98% BP at goal after 12 weeks of Discover Use Demonstrated durability of BP effect and downward trend in ED visits Root cause for unresponsiveness to treatment identified; Discover enabled targeted treatment recommendations High Adherence noted in patients with risk factors for poor compliance Widespread lack of medication effectiveness
  • 32. 32
  • 33. 33
  • 34. 34
  • 35. 35 Moore’s Law for technology, Eroom’s Law for pharma
  • 36. 36
  • 37. 37
  • 38. 38
  • 39. 39
  • 40. 40