This talk will focus on how Medical intelligence (using ML) gained from virtual health care delivery ecosystem (digital home monitoring devices, sensors, apps, virtual assistants) can facilitate real time actionable insights, promoting prompt risk prediction, mitigation, and personalized prescription for the patient.
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Role of Medical Intelligence in Augmenting The Virtual Health Care Delivery
1. Role of Medical Intelligence In Augmenting
The Virtual Health Care Delivery
JAI NAHAR, MD, MBA
Associate Professor of Pediatrics
George Washington University School of Medicine
Attending, Division of Cardiology
Children’s National Hospital, Washington DC
Medical Intelligence Society
Virtual Summit
MIS 2020
July 31, 2020
3. 1. Challenges and Opportunities
2. Medical Intelligence & Virtual Care Delivery
3. Innovation in Care Delivery: Connected Care Model
4. Value Pyramid: Intelligent Care Delivery System
Agenda
4. Health care delivery: Why Talk about Medical
Intelligence?
• Fourth Industrial Revolution
• Digitized World
• Health Care Delivery Challenges
Inadequate Resources
Access
Care Gaps
Friction
Deferred care
5. Challenge: Making the Invisible, Visible
Known/Clinically
Apparent
Unknown/Invisible?
At Risk/Subclinical
6. Challenge: How do we achieve Health Care 3600
?
Center
Based
Care
Remote
Care
Hybrid
Care
Episodic
Comprehensive/Continuous
Care
Digital Health
Technologies
7. Opportunity: Targeting Non-Consumption
The Health Care Benefits of Combining
Wearables and AI
Harvard Business Review
by Moni Miyashita
and Michael Brady
May 28, 2019
“Non-Consumption”
These are opportunity areas
where consumers have a job to be
done that isn’t currently
addressed by an affordable or
convenient solution.
8. Opportunity:
Prediction, Early Warning Systems
Wellness
Subclinical/
Risk Factors
Disease/Adverse
Event
Manifestations
Disease
Progression
Critical
Event/Death
Window of Opportunity:
• Digital Biomarkers
• Risk Prediction
• Outreach
• Targeted Early
Intervention
9. Intelligence Based Targeted Intervention Strategy
Segment
Target
Position
Create
Value
Disease
Phenomapping
Risk
Low
Medium
High
10. Virtual Care: Leveraging the power of AI
AI
Virtual
Assistant/Coach
Intelligent
Devices/Sensors
Real Time
Analytic
Processing
Risk
Stratification/
Deep
Phenotyping
12. Innovation in Care Delivery: Connected Care Model
DigitalGateway
Comprehension
Execution/
Personal
Assistance
Perception/
Integration
• Intent
recognition
• Context
Understanding
• Learning
Health Care Institution
• Applications
• Providers
AI Engine
On-Device, Edge, Cloud, AI
• Devices
• Sensors
• Natural Interaction (Voice)
• Proactive
• Personalized & actionable
insights
• Behavior Modification
• Positive reinforcement
• Voice/Language
• Biological Digital
Signals (Digital
biomarkers)
• Physician
• Nurse
• MA
• Care
Manager
• Social
Worker
Patient Voice
Virtual
Assistant
Real Time Analytic
Processing
Actionable Insights
Ancillary
data
13. Intelligent Virtual Care Delivery System
Risk
Stratification
Early Intervention
Digital Therapeutics
Chronic Care Management &
Wellness
Value &
Impact
• Digital Connection
• Remote Monitoring
• Risk stratification
• Prediction
(Digital Biomarkers)
• Engagement
• Adherence
• Behavior modification
• Personalized Prescription
• Promotion of wellness
Value Pyramid
• Targeted outreach
• Optimization of medical
treatment
14. Conclusion
Key Takeaways
Establish Care Continuum Multi Stakeholder Benefit
Promote Population Health Offer Competitive Advantage
1
3
2
4
Medical Intelligence based Hybrid Care Delivery
Thanks to MIS Summit Organizing team for the invitation and honor to speak
This talk would focus on how Medical intelligence (using ML) gained from virtual health care delivery ecosystem (digital home monitoring devices, sensors, apps, virtual assistants) can facilitate real time actionable insights, promoting prompt risk prediction, mitigation, and personalized prescription for the patient.
My Talk today will briefly cover:
Challenges and Opportunities
Medical Intelligence & Virtual care delivery
Innovation in Care Delivery: Connected Care Model
Value Pyramid: Intelligent care delivery system
A big challenge in current Medical World is how to make the Invisible, visible.
As shown in this slide the tip of iceberg represents the visible clinical phenotype of the disease.
The challenge then is How can we dive deeper to uncover and tackle the hidden part of this iceberg representing the subclinical and invisible disease?
This is where MI comes into action.
Another challenge is how to achieve Health care 360: Comprehensive and continuous care.
How do we complement the current episodic center based care with optimal remote care and leverage digital health technologies to achieve a hybrid care model: which enables Comprehensive and continuous care.
After challenges now Let us look at the opportunities. Important opportunity in health care delivery is Targeting the Non-Consumption.
In this slide I have referenced a great article form HBR.
Harvard Business School Professor and Innosight co-founder Clay Christensen mentioned about “non-consumption.” These are opportunity areas where consumers have a job to be done that isn’t currently addressed by an affordable or convenient solution.
In context of health care delivery the job which needs to be done is providing comprehensive care to patients where and when it is needed the most.
Another area of opportunity is designing optimal early warning systems for ambulatory care.
Considering the time line of disease progression (as shown in this slide) there is window of opportunity between the subclinical and clinical presentation of disease. During this window of opportunity we can use digital biomarkers, risk prediction models and provide outreach with targeted early intervention for the patients to prevent the disease progression.
Phenomapping: Use of unsupervised machine learning in Phenotypic classification of a heterogeneous clinical syndrome into discrete phenogroups
We can Institute Intelligence based Targeted Intervention Strategy.
By utilizing various tools such as disease phenomapping, deep phenotyping, and risk stratification models, patients can be segmented into low medium and high risk.
Second step is to target the medium and high risk patients and position appropriate outreach and intervention measures, preventing morbidity and mortality ultimately creating value for three important stakeholders (patients, providers and payors).
How can we leverage power of AI to optimize the virtual care?
As illustrated in the slide, there are 4 important ways AI can be utilized.
First is use of patient facing personalized and Intelligent Virtual assistants and smart coaches
Second is using Intelligent Devices and sensors for remote care
Third and fourth are RTAP of this diverse patient data, deep phenotyping and risk stratification to gain medical intelligence which can then facilitate personalized prescription for the patient.
How do we integrate medical Intelligence in Health care Delivery?
This slide illustrates an innovative virtual care delivery model which I have labelled as: Connected care model.
This is a good example of man-machine intelligence synergy and leverages technology such as remote monitoring devices, voice, virtual assistants, AI to connect patient to the care providers, augmenting care delivery at home.
This has 3 important interconnected components. First is remotely monitored patient, and voice enabled virtual assistant, second is the AI engine and third is the multidisciplinary care delivery team.
Patient’s voice commands and digital remote monitoring signals are transmitted via the virtual voice assistant (gateway) to the AI engine and as needed to Care delivery team.
The AI Engine enables RTAP of this input and in conjunction with care provider team, provides personalized and actionable health promoting insights, delivered back to the patient via voice enabled virtual assistant.
This slide illustrates the Value pyramid and Functional Spectrum of Intelligent Virtual Care Delivery System
There are 3 important components:
First is Risk Stratification
Second is Early Intervention and use of Digital Therapeutics
Third is Chronic care management and promotion of wellness specially important for high risk and high cost incurring patients such as CAD, CHF, arrhythmia, HTN, diabetes
Medical Intelligence based Hybrid Care Delivery has great potential to
Establish Care Continuum
Provide Multi stakeholder benefit
Promote Population Health
Offer Competitive Advantage to health care systems
Medical Intelligence augmented Virtual care is an emerging frontier in health care sector and has great potential to transform the health care delivery in POST COVID-19 world.