These slides were presented at the February 2024 meeting of the KC Digital Drive Health Innovation Team. This presentation was given by Tera Crunch. As they describe things: Let's face it – navigating the AI world can be like walking through a maze. You’ve got IT firms moonlighting as AI gurus, in-house teams juggling too much, and bespoke solution shops charging an arm and a leg. That’s where we come in. TeraCrunch is not just another AI & Gen-AI company. We’re the experienced friend you call when you need results without the runaround. We've been around the block for 11 years, building over 150 solutions with a track record of 5-40x ROI. What makes us different? We cut through the complexities and unnecessary costs with our secret sauce – a blend of proprietary methods and pre-developed tech-stack we've honed for over a decade – getting you the results you need, fast. Plus, our data scientists with roots in places like Harvard and NASA, roll up their sleeves and get to work with your crew. With TeraCrunch, you’re choosing a partner that makes the complex simple and the uncertain sure. Our presenter will be CEO Tapan Bhatt. With over 19 years of experience in developing cutting-edge technology products and fueling growth in start-up ventures, Tapan's unrivaled insights have been instrumental in driving success for numerous venture capital-backed high-tech startups across both coasts. Prior to establishing TeraCrunch, he held key leadership positions in a series of technology startups that achieved remarkable success. As Head of Business Development at ROAM (acquired by Ingenico), Head of Solution Sales & Sales Engineering at AisleBuyer(acquired by Intuit), Executive Director at Motricity (IPO in 2010, NASDAQ:MOTR), and Executive Director at Amobee Media Systems (acquired by SingTel). Tapan has an MBA in Marketing from Avila University and a foundation in Electrical Engineering from K.K.Wagh College of Engineering. As part of his many external activities and roles, he is an Innovation Board Member of St. Luke's Health System.

1. Confidential
TRANSFORMING ORGANIZATIONS WITH MACHINE
LEARNING AND GEN-AI SOLUTIONS

2. OUR MISSION
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Our mission is to deliver turn-key AI solutions built on the precision of
Machine Learning and the innovation of Generative AI, focused on solutions
where off-the-shelf products & platforms fall short, driving substantial
transformation for our clients. We are committed to responsible and ethical
AI, ensuring unbiased algorithms and transparent use of data.

3. ABOUT US
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We are the McKinsey of AI at fraction of the price point
! The most experienced AI solutions providers in the industry
! 10+ years of AI mastery, 150+ solutions built, 5-40x ROI
! Hundreds of businesses have trusted us with their AI needs
! Our secret sauce: a blend of proprietary methods & pre-developed tech-stack - 5x faster, 3x cheaper
! We offer guaranteed ROI and a risk-free start, with a complimentary viability assessment

4. OUR SERVICES
Our expert AI team has built 150+ solutions in the
last 10+ years. We have a solutions catalogue to
choose from, and pre-trained models & code we use
to build most efficiently.
• Machine learning
• Generative-AI
• Custom LLM
• Computer Vision
• Predictive Analytics
• Chatbots
• Data Integration
• Data Preparation
• AIOps
Build & Manage AI Solutions
We have a large talented team of offshore
developers to balance our US costs. You
benefit from fast development and lower
offshore costs.
• Data Mining
• Data Integration
• PowerBI and Tableau dashboards
• Java
• JavaScript
• C#
• C
• Node
• React
• Python
• PHP
• React Native
• REST & GraphQL
• Manual & Automated Testing
• QA & testers
• Scrum Masters
Software Services for
Digital Transformation
Trying to figure out where and how to apply AI in
your business? Our consultants, data scientists and
engineers are here to help.
• Strategy & roadmap
• Use Case Identification
• Data viability assessment
• Research
• AI Ethics
AI Consulting

5. TERACRUNCH AI SOLUTIONS
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CSO CMO CFO COO CIO
MARKETING
• AI chatbots for Patient Engagement: Providing 24/7
support and information to patients and clients.
• Patient Segmentation: Tailoring marketing strategies
based on patient demographics and health.
• Personalized Patient Engagement: Customizing
communication for improved patient satisfaction and
retention.
AUTOMATION
• Smart Appointment Scheduling: AI algorithms optimize appointment
slots to reduce wait times and improve patient flow.
• Demand Forecasting: Predicting peak times to efficiently allocate
resources and staff.
• Healthcare Fraud Detection: Identifying and preventing fraudulent
activities using pattern recognition
PATIENT CARE
• Risk Stratification/Value based care: Identify high-risk patients
for targeted care and resource allocation
• Remote Patient Monitoring: Analyzing data from wearable
devices for proactive patient care
• Chronic Disease Management: AI algorithms to monitor and
manage chronic conditions like diabetes, offering
• Support Research & Innovation with AI
•Automated Eligibility Verification: Using AI to instantly verify patient
insurance coverage, reducing claim denials.
•Debt Prediction Modeling: Predicting which patients are likely to have unpaid
bills to proactively manage collections.
•Chatbots for Billing Inquiries: AI-driven chatbots to answer patient billing
questions, reducing call center load.

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H E A LT H C A R E A I
C A S E S T U D I E S

7. PROBLEM STATEMENT
The healthcare industry faces a significant challenge in aligning with value-based care models, which prioritize high-quality, patient-centric, and cost-
effective treatments. Our goal is to harness the power of AI to transform historical health data into predictive insights for patient risk. This initiative is
crucial for early intervention and personalized care strategies, ensuring that resources are optimally allocated to those in greatest need. By focusing on
preemptive healthcare measures and improving care efficiency, our solution aims to embody the principles of value-based care, enhancing patient
outcomes while simultaneously managing healthcare costs.
Leveraging historical claims and behavioral data, we developed a predictive model to identify and prioritize at-risk patients, aligning perfectly with the
principles of value-based care. This model enables early intervention, reducing the likelihood of costly emergency treatments and hospitalizations. Our
tailored care strategies, based on individual risk profiles, ensure that each patient receives the most appropriate, personalized care. We provide weekly, user-
friendly risk reports, empowering care teams to make data-driven decisions and allocate resources effectively. This approach not only boosts care team
productivity but also significantly enhances patient health outcomes, contributing to the overall cost-efficiency and quality goals central to value-based care.
Ultimately, our solution represents a stride forward in realizing the full potential of value-based healthcare.
Reduced Emergency Department (ED)
Encounters. A 17% reduction in ED
encounters in the intervention group
compared to the control group. Although
this reduction was not statistically
significant, it indicates a trend towards
decreased emergency healthcare needs due
to proactive interventions.
Significant Reduction in Hospital
Readmissions. A substantial
decrease in hospital readmissions
within 90 and 180 days.
Specifically, there was a 71%
reduction in 90-day readmissions
and a 52% reduction in 180-day
readmissions in the intervention
group, both statistically significant
findings.
Decreased EMS Utilization
Emergency Medical Services
(EMS) encounters were 47%
lower in the intervention group,
suggesting effective preemptive
healthcare measures can reduce
the need for emergency
interventions.
RESULTS
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AI SOLUTION - PREDICTING PATIENT RISK SCORES
VALUE BASED CARE - IDENTIFYING AT-RISK PATIENTS FOR EARLY INTERVENTION

8. PROBLEM STATEMENT
In the current healthcare environment, patient scheduling and management are often inefficient, leading to long wait times, underutilization of healthcare
resources, and a suboptimal patient experience. There is a need for an intelligent scheduling system that can dynamically allocate appointments based on
patient needs, medical urgency, and resource availability. This system should integrate seamlessly with existing healthcare infrastructure, support decision-
making for healthcare providers, and enhance patient satisfaction by reducing wait times and improving access to care. The challenge lies in developing an
AI/ML-driven solution that is adaptable, user-friendly, and capable of handling the complexities of healthcare scheduling and management.
Decreased Wait Times
Appointment wait times were reduced by
30%, enhancing patient satisfaction.
Increased Provider Productivity
The system's efficiency in appointment
allocation resulted in a 20% increase in
healthcare provider productivity.
Optimized Resource Utilization
There was also a notable improvement
in resource utilization, with a 25%
decrease in idle time for medical staff.
RESULTS
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TRANSFORMING PATIENT SCHEDULING & MANAGEMENT
TeraCrunch AI Solution
1.Online Form: Patients complete an online form detailing their symptoms and medical history.
2.Data Integration: AI/ML (Machine Learning) integrates this data with existing medical records to create a comprehensive patient profile.
3.Scheduling Algorithm: Utilize ML algorithms to analyze patient data, considering factors like symptom severity, medical history, health metrics, and doctor availability.
4.Appointment Recommendations: Provide scheduling recommendations, categorizing appointments as in-person or remote, and assigning priority levels.
5.Instant Notifications: Patients receive immediate notifications with their appointment details. The system could also alert healthcare professionals to schedule and prepare for
upcoming consultations.

9. THANK YOU!
t b h a t t @ t e r a c r u n c h . c o m
T A P A N B H A T T , F O U N D E R & C E O
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EASY TO START
We help you identify a
high value use case
1. IDENTIFY
We provide a free
viability assessment
2. ASSESS
We design & build
solutions in 8-10 weeks
3. SOLVE

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INCREASING PATIENT’S HEALTH
THROUGH REMOTE MONITORING AND PREDICTIVE ANALYTICS
Studies have found that timely intervention can extend the length of life and improve the quality of life high cost conditions like
cancer. TeraCrunch provides a solution to a team of oncologists and their staff at a major hospital to predict if and when patients are
at risk for an adverse event, allowing clinicians to intervene before the event occurs.
USE CASE
Increased life spans
RESULTS
Timely intervention
TERACRUNCH AI SOLUTION
Monitor and predict which patients need intervention and when, so the
hospital staff can intervene at the right time. Our solution takes wearable
devices data (heart rate, blood pressure, sleep patterns, stress levels) and
patient’s historical health date (from EMR), and analyzes it to provide
predictive intervention alerts. Our solution platform takes care of data
collection, integration, normalization, predictive analysis and presentation in
an interactive dashboard for decision making. It has helped increase patients
lives as well as overall health.

11. PROBLEM STATEMENT
As a leading AI, ML, and Data Science solutions provider, we were presented with an opportunity to collaborate with a progressive healthcare provider to
revolutionize their patient triage system. The healthcare industry has been experiencing increased demand for efficient patient categorization and
prioritization. In response, our team worked closely with the healthcare provider to develop an AI/ML-driven solution that would optimize patient triage
and enhance the patient experience
Challenge
The challenge at hand was to create an automated and
data-driven system that could effectively categorize and
prioritize patients based on the information they provide
through an online form. The AI/ML solution needed to
make recommendations regarding whether the patient
should be seen in-person or remotely, the priority of their
appointment, and the type of care required. This would not
only improve the efficiency of healthcare delivery but also
ensure that patients with more severe conditions receive
immediate attention.
Efficient Triage
The healthcare provider achieved a more
efficient patient triage system, significantly
reducing the wait times for patients in need
of immediate care.
Improved Patient Experience
Patients appreciated the convenience
of online forms and the quick response
from the healthcare provider.
Optimized Resource Allocation
By categorizing patients effectively,
the healthcare provider was able to
allocate resources more efficiently,
ensuring that critical cases received
prompt attention
RESULTS
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Transforming Healthcare Triage
Solution Overview
1.Online Form: Patients complete an online form detailing their symptoms and medical history.
2.Data Integration: AI/ML integrates this data with existing medical records to create a comprehensive patient profile.
3.Machine Learning: Machine learning algorithms analyze the data, considering factors like symptom severity, medical
history, and health metrics.
4.Triage Recommendations: The system provides one of these recommendations:
1. In-person visit (high or standard priority).
2. Remote consultation (high or standard priority).
3. Where should the patient be directed for care
4. What priority should they be scheduled
5.Instant Notifications: Patients receive instant notifications with their triage recommendation and appointment
details. Critical cases alert healthcare professionals immediately.

12. PROBLEM STATEMENT
The healthcare sector faces challenges in patient engagement and efficient communication. Patients often experience difficulties in
accessing timely medical information, booking appointments, and receiving prompt responses to their queries. This results in a gap in
healthcare delivery and patient satisfaction.
Developed an AI-powered chatbot system designed to interact with patients 24/7. This chatbot provides instant responses to patient
queries, facilitates appointment bookings, and offers relevant health information. The system is integrated with the healthcare provider’s
database for accurate and personalized patient interaction.
INCREASED PATIENT ENGAGEMENT &
SATISFACTION SCORE
40% increase in patient engagement,
Patient satisfaction scores improved by
35% due to quicker response times and
more accessible health information
RESULTS
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SOLUTION
AI Chatbot for Improved Patient Engagement
MORE TIME FOR THE STAFF
chatbot successfully handled 70% of
common queries, freeing healthcare
professionals to focus on critical cases
REDUCTION IN WORKLOAD
50% reduction in administrative
workload for appointment
scheduling

13. PROBLEM STATEMENT
Healthcare facilities are confluently experiencing “slow-pay” practices by commercial payers, despite contractual provisions to the contrary. This translates
into an ever-growing A/R, payroll crises, cash-flow uncertainty, capital project delays, and C-Suite fiscal preoccupations, constraining quality improvement
and strategic planning initiatives.
SOLUTION
TeraCrunch has developed an innovative AI tool that accurately flags (all with an est. 95% certainty) claims with high risk of denial with the reason codes.
The tool takes 835/837 files and run the predictions in real-time. Building this intelligence into the workflow prior to claim submission was a huge success
for the client’s RCM team. This tool also comes with a descriptive dashboard for claims management that provides actionable insights to improve processes
and teams focus on high value areas. Our solutions are developed by top PhD data scientist and experienced physicians.
Enabled 95% accuracy for the
facilities to take control of their AR,
and accurately predict denials.
Provided the C-Suite with an accurate
picture of anticipated cash flow for the
next 180 days on a weekly basis, from
which responsible fiscal management can
be succinctly planned and executed
Decreased denials 3-5%
Focused staff time on codes
that will not get paid fully or
at all.
RESULTS
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ARTIFICIAL INTELLIGENCE CLAIMS DENIAL AND CLAIMS MANAMENT TOOL

14. TERACRUNCH AI SOLUTION EXAMPLES
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CSO CMO CFO COO CIO
SALES & MARKETING
• Customer service AI chatbots: Providing 24/7
support and information to patients and clients.
• Patient Segmentation: Tailoring marketing strategies
based on patient demographics and health.
• Personalized Patient Engagement: Customizing
communication for improved patient satisfaction and
retention.
AUTOMATE PROCESSES
• Smart Appointment Scheduling: AI algorithms optimize appointment
slots to reduce wait times and improve patient flow.
• Demand Forecasting: Predicting peak times to efficiently allocate
resources and staff.
• Healthcare Fraud Detection: Identifying and preventing fraudulent
activities using pattern recognition
PATIENT CARE
• Risk Stratification/Value based care: Identify high-risk patients
for targeted care and resource allocation
• Remote Patient Monitoring: Analyzing data from wearable
devices for proactive patient care
• Chronic Disease Management: AI algorithms to monitor and
manage chronic conditions like diabetes, offering
personalized care plans.
• Support Research & Innovation with AI
•Automated Eligibility Verification: Using AI to instantly verify patient
insurance coverage, reducing claim denials.
•Debt Prediction Modeling: Predicting which patients are likely to have unpaid
bills to proactively manage collections.
•Chatbots for Billing Inquiries: AI-driven chatbots to answer patient billing
questions, reducing call center load.