Fast Company magazine recognition as the "top 10 most innovative big data healthcare analytics platform"

1. A Cognitive Computing Company

2. AI for Community
How do we make our manufacturing,
transportation, hospitals, companies, and
infrastructure smarter?

3. Artificial Intelligence is the answer
But.. How do we make AI easier and faster?

4. Introducing
An Autonomous AI Platform

5. What is Momentum
Momentum is a data science platform that puts supercomputing power in
the hands of users to rapidly deploy AI solutions.
Superfast ETL AI & NLP IoT Visualization

6. What can you do with Momentum
Data Ingestion
Data Transformation
ML & AI
NLP
IoT
Data Pipeline
Visualization
Integration
Custom Analytics
From multiple data sources: RDBMS, NoSQL, Dropbox, S3 and more
SQL based interface to perform complex transformation over structured and
unstructured data at large scale
AI with automated feature engineering without a single line of code
Text mining and NLP with NER, sentiment, semantic and concept categorization
Highly scalable realtime stream analytics of data from IoT devices and sensors
Automate entire data flow from ingestion to AI to insight using drag-n-drop tools
An integrated visualization engine to see insights on web browser, also works
standalone with several data sources
A single interface to write extension in Java - does not require to learn complex
APIs
Processed data can be sent to several supported external databases to integrate
with other systems

7. Why Momentum
• Auto AI with Momentum does not require data science skill
• AI deployment to production in days and not in months/years
• Save on data wrangling time which is 80% of data science activity
• The most import tasks a data scientist does:
• Feature engineering
• algorithm selection
• hyperparameter tuning
Momentum does it all, automatically.
• Deploy on-premise or cloud

8. Momentum Features Specific to Healthcare
Structured
records
Patient scanned
documents
Momentum
CCDA Parser
Distributed
OCR
DCM Client
X12 Parser, Rest
Client, DB Import
Direct Protocol
VectraDA 2-D Data Lake
AI and ML
Application & Visualization
Radiology
Images
Claims data
EHR Integration
Lab Integration

9. About Accure AI
Accure improves the well-being of cities,
companies, hospitals and infrastructure
through ready-to-use AI tools that puts super-
computing problem-solving capability into the
hands of users.

10. What we offer?
Momentum AI platform
AI Advisory
Use case
development
Best practice
implementation
Data Science
AI model
development
AI Deployment
On premise or cloud
deployment
Custom AI
app development

11. Why AI Advisory?
According to Gartner:
- by 2021 40% of new enterprise solutions will have some form of AI.
- Most of the AI initiatives will fail due to:
• Lack of leadership to drive AI initiatives
• Not picking the right problem to solve
• Lack of data science skill
• Non-existence of interoperable AI
Accure AI provides an ecosystem for companies to adopt and easily deploy AI solutions that
have high business values. This ecosystem involving people, process and technology
includes:
AI Advisory Board of
thought leaders and
influencers
Data scientists and AI
engineers
Momentum AI platform
and ready-to-deploy
models
Industry specific best
practices

12. Domain Expertise
Healthcare
•4 US Patents related to cognitive science in healthcare
•Fast Company magazine recognition as the "top 10
most innovative big data healthcare analytics platform"
HL7, CCD/CDA, Direct Project, FHIR
IHE Profiles (PIX/PDQ, XCA, XDA, XDM, XDR, XDS, XDS-SD)
DICOM
X12, NCPDP
LOINC, ICD, CPT, RxNorm
PQRS, MACRA, MIPS

13. Sample Use Cases

14. Healthcare Use Cases We Developed
RA medication prior authorization
30-day readmission prediction
HCC optimization to identify missed charges
Comorbidity analysis
Parallel and distributed OCR of clinical scanned
documents

15. www.accureanalytics.com
Service Prior
Authorization
Lab PrescriptionRadiology Procedure
For
Use Case 2

16. Physicians spend 20 hours/week
in insurance pre-authorization related activities
which amounts to $69B loss per year.
Problem
source: AMA

17. Solution
Healthcare Cognitive Science
ML, NLP, AI
EHR
Claim
Pre-auth Predictor
Reduce back and forth
paperwork
Reduce denials
Improve care outcomes
DATA Analytics Insights Savings +
Revenue +
Health

18. Financial Risk
Analysis
Use Case 3

19. Earning Potential
$1,543,765
470 871 392 292 291 194 690
Hospital Median: $5,600
National Median: $5,325
#of cases: 600
Provider
Predicted Case
Count
Earning Potential
Per Case
Total Earning
Potential
Dr John Smith 90 $1,200 $108,000
Dr George Mason 87 $970 $84,390
Dr Sara White 85 $1,000 85,000
Dr Bob Jackson 74 $1,170 86,580
Total $363,970
690: KIDNEY & UTI
Cost Analysis by DRG
Factors Hospital Median
Provider
Median
Case count Difference
Lab 600 760 56 $8,960
Meds 960 1200 79 $18,960
Procedure 2,100 3,000 76 $68,400
LoS 3 3 90 0
30-Re-admit 30% 30% 90 0
$96,320
Cost Components Dr John Smith
No. of Cases
630
Predicted LoS
5.5
30-days Readmit
75
No
n…
No
n…
Non-Compliant Compliant
Dr John Smith’s Cost Distribution Compared to Hospital Median

20. $2-3K $3-4K $4-5K >$5k $2-3K $3-4K $4-5K >$5k
Dr John Smith’s Lab Frequency Hospital Lab Frequency
690 Cost per case 690 Cost per case
Frequency by Lab as % Frequency by Lab as %
Patient Age Gender Smoker BMI Comorbid LoS 30-day Readmit
John Doe 64 M Yes 31.2 Yes 6 Yes
Sara Smith 49 F No 27.9 Yes 6.5 No
Rebecca Doe 74 F Yes 26.8 Yes 6.5 Yes
Anomalous Patients (whose costs were outside normal for the same DRG) of Dr John Smith
Data sources: EHR, Claims, CMS

21. Patient Disease Risk
Prediction
Use Case 3

22. Data Lake
(Big data)
clinical
data
social &
family
history
lifestyle
and
history
Diagnostic
images
Pathologic
al report
Framingham Risk Score
CHF CVD CAD
Stroke Hypertension Diabetes
Disease Risk Score
Comorbidity Analysis
CCI EI
CDSHRQL-CI
Artificial Intelligence
Risk Score and Comorbidity Analysis for Preventive Care
Claims data
CCI: Charlson Comorbidity Index
EI: Elixhauser Comorbidity Index
HRQL-CI: Health Related Quality of Life
-Comorbidity Index
CDS: Chronic Disease Score
CHF: Congestive Heart Failure
CVD: Cardiovascular Disease
CAD: Coronary Artery Disease

23. Risks Related to
Quality & Patient Safety
• Quality/Outcome
• Diabetes – FINDRISK or ADA Diabetes Risk Calculator and ML to predict end
organ damage (kidney, eye, heart)
• Bronchial Asthma -predictive modeling to proactively identify children at risk for
asthma
• Patient safety/ sentinel events – predict Real Time Harm and avoid costly
malpractice judgments and loss of Joint Commission accreditation
• Financials/Revenue cycle management
• Advice point of care improved clinical documentation for accurate concurrent
coding & billing

24. Valued Customers

25. Value-Added
Partner
Limited Scope POC POC Goal
Assessment
Exploratory Call
▪ Learn about client
▪ Share what we offer
▪ Understand client’s
needs
▪ Outline limited scope
POC
▪ Work with real data
▪ Production quality
▪ Demonstrate Accure’s
capability to
understand client’s
need and deliver
▪ Score POC against client
needs / goals
▪ Zero in on how Accure
can best help client
▪ Define larger scope
solution
▪ Larger scale deployment
▪ Long Term and Trusted
Relationship
Data Science
Engineering
Execution
Dedication to Client
Ability to Listen
Commitment to Client Success
Capability to deliver at scaleWe demonstrate:
Our Process