Student presentation for Analytics in Action

1. Analytics in Action
Case Study
February 2019
On
Health Analytics
Presented by
Naveen P Kumar (17071)
Yathish N (17097)

2. Introduction
©2019 YATHISH AND NAVEEN
Structure
Introduction to Healthcare and Analytics
Narayan Health Overview
Business Model of NH
AI Road Map
How they Leverage Analytics and Data
Career Opportunities
Lessons Learned

3. • What is the organization’s
business model?
• How does the organization use
data strategically?
• How can you apply the AI
Roadmap to a specific challenge
in this industry?
• Which data science techniques
does the organization favor ?
• What is the link between data
science and decision making?
Case Study Questions
Objective

4. Reference
1. https://www.ibef.org/industry/healthcare-india.aspx
• In India, heart disease is amongst the leading cause of
mortality.
• According to a Global Burden of Disease Report, 1.7
million Indians died of cardiovascular illnesses, making
heart disease a leading cause of death in India.
• In India, around 2.5 million people require heart surgeries
every year but all of [the country’s doctors] put together
perform only 80,000 to 90,000 surgeries a year.
Introduction to Healthcare Sector
Health Analytics

5. Image: Healthcare spending in India
References:
. https://www.ibef.org/industry/healthcare-india.aspx

6. Reference
1. https://www.sisense.com/glossary/healthcare-analytics-basics/
2. https://www.evariant.com/faq/what-is-health-analytics
3. https://www.sisense.com/solutions/healthcare/medical-analytics/
• Healthcare analytics is the branch of analytics that focuses on offering
insights into hospital management, patient records, costs, diagnoses,
and more. 1
• Extends beyond data management to finding meaning in real-time or
historical medical data, and making predictions about the future to
improve the probability of success. 2
• Use BI tools to analyse huge data sets at speed, drawing out patterns
and trends that tell them at glance what’s working, what’s not, and how
patients are responding to the medicines or treatments they’ve been
given. 3
Introduction to Healthcare Analytics
Health Analytics

7. Reference
1. https://www.evariant.com/faq/what-is-health-analytics
• Interpret data to inform future interactions with
patients, consumers, and populations.
• Uncover the root cause.
• Predictive modelling by interpreting patient data.
• Improve workflow across your organisation by
streamlining data-access processes.
• Gain market share by improving patient care and
reputation.
Benefits of Healthcare Analytics
Health Analytics

8. Reference
1. https://en.wikipedia.org/wiki/Narayana_Health
• Narayana Health - chain of multi-speciality hospitals, heart
centres, and primary care facilities with its headquarters in,
Bengaluru, India.
• Founded by Dr. Devi Shetty in the year 2000.
• Presence in various cities in India. International presence –
Cayman Islands.
• The facilities offer medical care in over 30 medical specialties.
• Irrespective of the complexity of the procedure it costs less than
US$3,000 compared to average of US$5,000-US$7,000 in
India.
Company Overview: Narayana Health
Company Profile

9. Reference
1. http://knowledge.wharton.upenn.edu/article/narayana-hrudayalaya-a-model-for-accessible-affordable-health-care/
• Using economies of scale, or the cost advantages businesses obtain due to
expansion.
• Cardiac care at a cost lower than any other hospital in the country and at a
fraction of what it would cost elsewhere in the world
• Done through process innovation - his way as “the Walmart approach.”
• Keeps capital costs low ( shift to an asset light model for expansion)
• Importance given to maintaining equipment and extending its life.
• Treats about 2,500 people daily in its out-patient department apart from
surgeries.
• Various cost cutting initiatives to save money
Business Model
Revenue

10. Video

13. Perception
• To provide low cost, high-tech and quality healthcare
Prediction
• Real time analysis, trend and predective analysis
Evaluation –
• How to improve the efficiency and processes in the hospitals
Action
• Reduce avg time of patient in the hostipal. Decrease the turn-around time in
medical testing. Reducing the consumables in the hospitals
How does the organisation use Data Science to propel growth?
Technology

14. Using PowerBI and Azure Platform
• Real-time decision making
• Predictive analytics for new hospitals
• Managing nursing staff
• Faster lab turn-around times
• Monitoring consumables and antibiotic use
• Predicting blood requirement
• Reducing the time spent by patients in the ICU
• Better prediction of surgery costs
AI Roadmap
Technology
REFERENCE
HTTPS://NEWS.MICROSOFT.COM/EN-IN/FEATURES/NARAYANA-HEALTH-USES-DATA-ANALYTICS-AND-AI-TO-
PROVIDE-AFFORDABLE-HIGH-QUALITY-HEALTHCARE/

15. In USA,
• 17% growth in the job market between 2014 to 2024.
• 73% increase in average salary.
Opportunities
Technology
REFERENCE
https://www.iimjobs.com/j/narayana-health-data-analyst-scientist-2-10-yrs-284124.html

16. • Analytics is vital in healthcare in modern
times.
• Can provide better teartment and care to
patients.
• Healthcare businesses can scale much better
with data analysis and AI when integrated
with their business model.
•
Lessons learned
Outcomes

17. 1. Clinical Business Intelligence -
https://www.sisense.com/solutions/healthcare/medical
-analytics/
2. Dr Devi Shetty on Narayana Hrudayalaya's business
model
3. https://www.ibef.org/industry/healthcare-india.aspx
4. https://www.sisense.com/glossary/healthcare-
analytics-basics/
5. https://www.evariant.com/faq/what-is-health-analytics
6. https://www.sisense.com/solutions/healthcare/medical
-analytics/
7. https://www.evariant.com/faq/what-is-health-analytics
8. https://en.wikipedia.org/wiki/Narayana_Health
9. http://knowledge.wharton.upenn.edu/article/narayana-
hrudayalaya-a-model-for-accessible-affordable-
health-care/
Bibliography
Next Steps