Data in Business Analytics
Perspective for Indian Healthcare
Market
Debashis Basu
Partner and Leader Enterprise Intelligen...
Page 2
Challenges with Data Analytics in Healthcare
► Data available in healthcare can be segregated along the following
l...
Page 3
Emerging markets/India Specific Challenges
► Lack of country wide hospital KPI data
► No adequate survey-based data...
Page 4
Silver lining for Data Analytics for Indian
Healthcare providers
► According to Gartner, India's healthcare provide...
Page 5
The healthcare business intelligence /
EPM landscape
► Healthcare decision support is usually workflow-specific
► P...
Page 6
The healthcare business intelligence /
EPM landscape
► Pure healthcare BI companies (limited number - Avega,
Precis...
Page 7
Key Problems – Inefficiency & lack of
visibility
Assignment &
Transfer Delays
Limited Capacity Intelligence
Unmonit...
Page 8
Integrating Information Across Silos in Real
time
Clinical &
Quality
Operational
& Financial
IT & Security
Health M...
Page 9
Hospital EPM Solutions Landscape
4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2...
Page 10
Benefits - Increased Admissions & ROI Gain
for Hospitals
► Executive Objectives
► CXO’s are looking for ways to in...
Page 11
Illustrative out come
► Bed Turnaround Time
► 20% reduction in Bed Assignment Time (request to assignment)
► 15-30...
This document contains confidential material proprietary to Ernst & Young Private Limited ("EY‖). The
tools, material, ide...
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  • Structured data (external): Public data (CMS), benchmark data, syndicated data Unstructured data (external): social media
  • types of out-patient visits and in-patient admission, bed utilization rates, bed days, occupancy rates, and average length of stay, etc.The availability of quality data on morbidity patterns and patient safety is also grossly inadequate. In all, this scenario, limits the ability to design innovative health insurance products and effective patient safety programs in the hospitals
  • types of out-patient visits and in-patient admission, bed utilization rates, bed days, occupancy rates, and average length of stay, etc.The availability of quality data on morbidity patterns and patient safety is also grossly inadequate. In all, this scenario, limits the ability to design innovative health insurance products and effective patient safety programs in the hospitals
  • Data in Business Analytics Perspective for Indian Healthcare Market

    1. 1. Data in Business Analytics Perspective for Indian Healthcare Market Debashis Basu Partner and Leader Enterprise Intelligence and Analytics EY India September 7, 2013
    2. 2. Page 2 Challenges with Data Analytics in Healthcare ► Data available in healthcare can be segregated along the following lines ► Structured Data : EMR systems, Claims systems, Revenue cycle systems ► Unstructured Data : Doctor notes, Images ► Focus has been on the "volume" end of analytics, namely Data Management and Governance ► Descriptive analytics, while Advanced Analytics and Predictive Modelling usage is limited ► Most Hospitals are understaffed for the most basic reporting and analytical needs 4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India
    3. 3. Page 3 Emerging markets/India Specific Challenges ► Lack of country wide hospital KPI data ► No adequate survey-based data ► No administrative reporting system that provide basic hospital service statistics ► Healthcare organizations are wary of technology integration due to cost burden caused by requirement of IT infrastructure and technical expertise 4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India
    4. 4. Page 4 Silver lining for Data Analytics for Indian Healthcare providers ► According to Gartner, India's healthcare providers plan to spend US$ 1.05 billion on IT products and services in 2013 ► As the health care industry moves to electronic health records, the storage of data is increasingly going to be on the cloud. 4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India
    5. 5. Page 5 The healthcare business intelligence / EPM landscape ► Healthcare decision support is usually workflow-specific ► Provided within functional systems of enterprise HCIT vendors ► And is not cross-application or cross-enterprise ► Enterprise-level BI solutions in healthcare are scarce ► Enterprise software vendors (McKesson, Siemens, Cerner, GE, Eclipsys, Epic) • Offer data warehouses and OLAP tools specific to their applications • But are not an effective enterprise solution, particularly for revenue cycle ► Technology vendors (BEA, Cognos, Business Objects, Hyperion, Qulikview Microsoft) • Offer tools to create BI/EPM solutions but must be custom-developed • Are costly to implement and maintain – most hospitals & physicians can’t afford them Functional Systems Data Warehouse Business Intelligence Performance Management 4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India
    6. 6. Page 6 The healthcare business intelligence / EPM landscape ► Pure healthcare BI companies (limited number - Avega, Precision.BI, MedeAnalytics, Craneware, Advisory Board, Premier, Thompson Reuters, Healthcare Management Council, CareMedic) • Provide subscription-based solutions • But technology is not leading edge • They are usually retrospective reporting and benchmarking services • Rather than EPM ► The industry still lacks an affordable healthcare-specific EPM solution that can be easily implemented Functional Systems Data Warehouse Business Intelligence Performance Management 4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India
    7. 7. Page 7 Key Problems – Inefficiency & lack of visibility Assignment & Transfer Delays Limited Capacity Intelligence Unmonitored bed turnaround Delayed visibility of empty beds Unseen capacity Delayed Discharges Transport delays Equipment/pharmacy req Test results ―My housekeeping staff finds out about discharged patients by checking a handwritten log.‖ ―My surgeries are being canceled for want of an inpatient bed‖ ――We are having difficulty in tracking quality of care. Our CMS scores are low and we are not getting full reimbursements‖ ―Patients are being sent to other hospitals—we can’t find room‖ 4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India
    8. 8. Page 8 Integrating Information Across Silos in Real time Clinical & Quality Operational & Financial IT & Security Health Metrics HIS ADT Radiology (PACS) Order Entry Bed Management Pharmacy 4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India
    9. 9. Page 9 Hospital EPM Solutions Landscape 4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India
    10. 10. Page 10 Benefits - Increased Admissions & ROI Gain for Hospitals ► Executive Objectives ► CXO’s are looking for ways to increase patient throughput ► Increasing throughput is increasing the number of admits at a hospital ► Through making processes in the hospital more efficient ► Roadmap to improved bed utilization ► By optimizing latency between discharge & occupancy ► By creating visibility at the time of admissions ► By improving the discharge process ► Estimated Increased Admissions & Revenue ► An average 400 bed hospital can expect the following benefits Performance Level Conservative Moderate Aggressive Bed Turns Gained per Year 3.12 5.32 10 Admissions Gained 905 1542 2899 Revenue Opportunity $4,070,658 $6,940,993 $13,046,980 Saving Just 2 Hours between discharge to admission can lead to an extra capacity of 6 bed days (increase of 1 bed turn) 4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India
    11. 11. Page 11 Illustrative out come ► Bed Turnaround Time ► 20% reduction in Bed Assignment Time (request to assignment) ► 15-30% reduction in Bed Occupancy Time (request to occupied) ► 30-40% reduction in Bed Occupancy Time for evening and night ► Bed Occupancy & Capacity Improvement ► 8-10% improvement in bed occupancy (inpatient conversions) ► 10-13% improvement in ED Admissions (improved bed utilization) ► 8-10% improvement in ED utilization (better resource management) ► Nursing & Clinical ► 25-40% reduction in outpatient conversions ► 30% reduction in outpatient conversions for interventional radiology ► 20% reduction in overall outpatient conversions ► 3% improvement in early discharges (before 2:00 PM as) % of total ACTUAL PERFORMANCE 25% Improvement in Bed Requested vs. Bed Assigned ACTUAL PERFORMANCE 10% Improvement in Inpatient Conversions 4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India
    12. 12. This document contains confidential material proprietary to Ernst & Young Private Limited ("EY‖). The tools, material, ideas and concepts contained herein are proprietary and are to be used solely and exclusively to evaluate the capabilities of EY to provide assistance to COMPANY.. The contents of this proposal are intended for the use of MSM and may not be distributed to third parties. This document does not constitute an agreement between EY and Company. Any services EY may provide to MSM will be governed by the terms of a separate written agreement signed by both Company and EY. This document is based on information provided to us by MSM, which we have not verified. Accordingly, we are not responsible for any inaccuracies in that information. Furthermore, changes in MSM definition of requirements will necessarily affect the document set forth herein. If company decides not to proceed with the project, selects another consulting firm, or decides to conduct the project itself, we request return of any printed copies of this document together with the assurances that no photocopies of this document have been made. ERNST & YOUNG LLP 5th Floor, Bock B2 Nirlon Knowledge Park, Off Western Express Highway, Goregaon (East), Mumbai 400 063 www.ey.com/india © 2013 Ernst & Young. All rights reserved Thank you

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