3. • $6.2T by 2028 in US
(5.4% annual growth)
• 25% unnecessary spend
in US
• 20% potential to save
from wasteful spend
Growing Cost of Care
Driving the transition to Value-Based Care
CHALLENGES IN HEALTHCARE TODAY
Low Patient Engagement
• $215B per year in increased
costs
• 50% of patients don’t take
medications as prescribed
• 20% of Medicare patients
are re-hospitalized within 30
days of discharge
Shortage of Health
Workforce
• 15M by 2030 worldwide
healthcare professionals
• In the US:
• 105K physicians by 2030
• 1.1M nurses by 2030
(Reference: “National Health Expenditure Data Fact Sheet, 2020”, CMS.gov; ) (Reference: “A closer look at the public health workforce shortage”, USC, Feb 26, 2020 )
(Reference: “Waste in US healthcare system – estimated cost and potential for savings”, JAMA, Oct 7, 2019)
4. High Quality Value-Based Care Components
1. Developing infrastructure to support high-value care and
prevent costly health deterioration/acute crisis
2. Supporting patient self-care and education
3. Selecting cost-effective diagnostics and treatment options
4. Identifying high risk patients (super-utilizers) and optimizing
care options
5. Supporting healthcare personnel to improve consistency and
competence
5. SOLUTION: MayaMD
Cloud Platform
Robust Clinical Engine
Patient Engagement
• Anywhere, Anytime
• Multi-channel interaction
• Conversational interface
• Multiple languages
Clinical Intelligence
• Evidence based real-time
recommendations to provider
• 45% in improvement in clinical efficiency
• Personalized assessments & care
• Avoid unnecessary ER & hospital visits
Prediction
• Hospitalization risk based on changing
variables
• Disease progression based on patient behavior
• Geolocation patient risk assessment
• Identifying high risk clusters in population
Personal, Home Hospital, Practice
6.
7.
8. Maya can process any number
or combinations of symptoms,
labs, past medical history, and
medications in less than half a
second
Maya replicates
how a physician
approaches a
patient
HOW MAYA WAS DEVELOPED
9. Clinical reasoning platform used to improve
diagnostic training for IM residents.
Developed AI model to predict hospitalizations
based on lifestyle behaviors.
BOSTON UNIVERSITY
Incorporating Project RED to lower
readmissions & save staff time.
Enhanced with Top Researchers
Thought Maya
was easy to use
83%
Would like to use
Maya frequently
89%
Consumer Engagement
Study
Usability
Clinical Accuracy Study
Triage Accuracy (%)
Maya Physician Physician
Assistant
10. Hospital Readmission is: An important patient safety issue & leading driver
of preventable healthcare cost.
ReEngineered (RED) Discharge program is a National Quality Forum Best
Practice shown in random controlled trials to lower readmissions by 20%.
Busy hospitals & staff shortages impact quality of patient discharge.
27 million patients discharged from US hospitals/year.
A Digital healthcare assistant like Maya can automate discharge
saving nurse time and improving quality. Our data shows that patients
like it, want to use it and it lowers readmissions.
THE PROBLEM
COSTLY HOSPITAL READMISSION
THE EVIDENCE
THE CHALLENGE
THE OPPORTUNITY
THE SOLUTION
11. Condition
# Discharges
(Index
Admissions)
30 day all cause
readmission # (%)
Average cost/
readmission
Total Cost of
Readmissions
Savings if reduce
readmission by 10%
Savings if reduce
readmission by 20%
All Admissions and Readmissions to US hospitals 3
All payers 27,112,142 3,795,700 (14%) 3
15,200 3
57,694,640,000 5,769,464,000 11,538,928,000
Heart Failure Admissions and Readmissions
Medicare 775,900 1
178,000 (22.9%) 1,3
$23,300 2
$4,147 B 414 M 828 M
Medicaid 110,000 1
30,800 (28%) 1
Private Insurance 84,400 1
15,800 (17.6%) 1
Self-Pay 27,900 1
5,100 (18.2%) 1
Total Heart Failure 998,200
228,586 (Assume
22.9%) 4
$23,300
(assume same
as Medicare)
5,349,353,800 534,935,380 1,069 B
HOSPITAL READMISSION: A $57B PROBLEM
1. Weiss AJ (IBM Watson Health), Jiang HJ (AHRQ). Overview of Clinical Conditions With Frequent and Costly Hospital Readmissions by Payer, 2018. HCUP Statistical Brief #278. July
2021. Agency for Healthcare Research and Quality, Rockville, MD
12. Positive Public Healthcare Management
• Objectives:
• Create a paradigm shift from disease management to disease
prevention and ensuring healthy living for the entire community
• Identify causative factors, patterns and correlations, impact, and
future forecasting in policy and program implementation
• Execution:
• Led by Government of Meghalaya in collaboration with
Smart Village Movement
• AI-based digital healthcare management technology provided by
MayaMD.ai
12
13. Positive Public Healthcare Management
• Execution focus:
• Enable healthcare for all citizens
• Bring healthcare outreach to the citizen
• Create a healthcare baseline for the State and/or region
• Enable scalable healthcare coordination for ongoing care
• Support healthcare personnel to improve consistency and competence
13
14. MayaMD PPHM Solution
End-to-End scalable healthcare enablement Citizens – ANMs*
-- Doctors
Internet
AI-enabled capabilities:
▪ Population screening analysis, inferences
and recommendations
▪ Dynamic and personalized care pathways
▪ Vitals assessments
▪ On-demand symptom check and analysis
MayaMD PPHM & Maya Pro app support:
• Persistent data
• PPHM tasks & citizen care summarizations
• Maya Pro summarization & views
• Actions, Reminders & Notifications
• Medication Refills & Reminders
• Connection with care team
Maya Platform:
• PPHM Dashboard
• Citizen status & health profiles
• ANM assignments
• Doctor assessments
• Lab results
• Symptom Checker
• Patient information records
• Parameterized healthcare data for AI and
analytics
MayaMD Smartphone app
(IoS, Andriod)
MayaMD Cloud Platform
For ANMs*
(Citizen screenings &
healthcare coordination)
Accessed by SVM & State Gov Teams
Maya
Pro
Maya
PPHM
For Doctors
(Citizen healthcare
management)
Citizens
Medical
supervision & guidance
Healthcare
outreach to citizens
Medical
Test Labs
* Auxiliary Nurse and Midwife in the remote location
15. MayaMD Solution for PPHM
Positive Population Healthcare Management
15
Annual Screening
•Maya PPHM app
•Lab test order
generation
•Lab test results upload
& storage
Health Assessments
(based on specified
parameters)
Care Programs
•Guidance
•Education
•Digital therapeutics
•Follow-ups & Notifications
•Trend analysis of individual’s
health
Analytics
•Dashboards
•Population health profiles
•Health trends
Database
•Screening results
•Health assessment results
•Individual health records
Government
Doctors
Government
Doctors
Normal Chronic
Conditions
Follow up
Identified
16. AI assisted
clinical inferences
SVM PPHM
Project
AI assisted
patient monitoring
• Vitals
• Labs
• Symptoms
Advanced cluster analysis
Real-time data monitoring
17. Vitamin A
Critical eye issues for children
vitamin_a_retinol village block district gender patient_id family_id bmi age
0.2 Palwi Bhoirymbong Ri Bhoi female PT00000000001312 SVM0000000000804 13.41 6
0.2 Nongrim Nongladaw Bhoirymbong Ri Bhoi female PT00000000002359 SVM0000000000988 16.07 7
0.2 Umket Bhoirymbong Ri Bhoi female PT00000000001269 SVM0000000000783 14.25 8
0.2 Lumsohpieng Bhoirymbong Ri Bhoi female PT00000000001475 SVM0000000000888 16.62 11
0.2 Umktieh A, B, C, D Bhoirymbong Ri Bhoi female PT00000000000081 SVM0000000000055 15.45 12
0.2 Umktieh A, B, C, D Bhoirymbong Ri Bhoi female PT00000000000103 SVM0000000000065 17.97 20
0.2 Umktieh A, B, C, D Bhoirymbong Ri Bhoi female PT00000000000104 SVM0000000000070 25.41 23
0.2 Lumdaitkhla Bhoirymbong Ri Bhoi female PT00000000000193 SVM0000000000127 19.38 31
0.2 Mynsain Bhoirymbong Ri Bhoi female PT00000000001255 SVM0000000000270 22.58 35
0.2 Mynsain Bhoirymbong Ri Bhoi female PT00000000001247 SVM0000000000769 20.42 35
0.2 Pynthor Bhoirymbong Ri Bhoi female PT00000000000445 SVM0000000000299 28.5 37
0.2 Mynsain Bhoirymbong Ri Bhoi female PT00000000001437 SVM0000000000875 29.49 41
0.2 Kyrdeng Bhoirymbong Ri Bhoi female PT00000000002521 SVM0000000001448 20.26 43
0.2 Umket Bhoirymbong Ri Bhoi female PT00000000001285 SVM0000000000789 23.38 46
0.2 Nongtraw Bhoirymbong Ri Bhoi female PT00000000002470 SVM0000000001418 19.92 53
0.2 Nongtraw Bhoirymbong Ri Bhoi female PT00000000002474 SVM0000000001416 18.29 54
• 5 female children found deficient in Vitamin A
• Correctable using vitamin A to avoid night blindness
• 9 females in Reproductive age group
• Correctable using vitamin A to avoid pregnancy issues
18. Recognition
Selected out of hundreds of
startups to UCSF Health
Hub Digital Awards
Selected out of thousands to
CB Insights Top 150 digital
health startups
Selected out of over a
thousand startups to LG
Nova’s final 20 list
