data in business analytics perspective for indian healthcare

Data in Business AnalyticsPerspective for Indian Healthcare Market Debashis Basu Partner and Leader Enterprise Intelligence and Analytics EY India

September 7, 2013

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 - 6 th – 7th Sep. 2013 Hyderabad, India

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


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.


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


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


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”

News – State of NY cut Medicaid reimbursements to hospitals by 8%. For a mid-size hospital, this is an impact of about $20M in revenue loss. The only way for hospitals to deal with this cut is to be more efficient in their services – using technologies that make them address this, cut operational costs & increase productivity


Integrating Information Across Silos in Real time

Predictive Early WarningDrill Down Visibility Root Cause Analysis

Clinical &Quality

Operational& Financial

IT & Security

Health Metrics

HIS ADT Radiology (PACS)

Order Entry Bed Management

Pharmacy


http://images.google.com/imgres?imgurl=http://www.8beaks.com/toyparts/wiffles%20colored%20large%20&%20jumbo.jpg&imgrefurl=http://www.8beaks.com/toyparts/fun_balls.htm&h=257&w=432&sz=21&tbnid=PyZ7EL-IjocJ:&tbnh=73&tbnw=122&start=18&prev=/images?q=balls&hl=en&lr=&safe=off


http://images.google.com/imgres?imgurl=http://www-scf.usc.edu/~sholtzma/my_pics/3D%20Sphere.jpg&imgrefurl=http://www-scf.usc.edu/~sholtzma/my_work.htm&h=400&w=400&sz=33&tbnid=H9XVhpref80J:&tbnh=120&tbnw=120&start=190&prev=/images?q=sphere&start=180&hl=en&lr=&safe=off&sa=N

http://images.google.com/imgres?imgurl=http://www-scf.usc.edu/~sholtzma/my_pics/3D%20Sphere.jpg&imgrefurl=http://www-scf.usc.edu/~sholtzma/my_work.htm&h=400&w=400&sz=33&tbnid=H9XVhpref80J:&tbnh=120&tbnw=120&start=190&prev=/images?q=sphere&start=180&hl=en&lr=&safe=off&sa=N



Hospital EPM Solutions Landscape


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

benefitsPerformance 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)


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 PERFORMANCE25% Improvement in Bed Requested vs. Bed Assigned

ACTUAL PERFORMANCE10% Improvement in Inpatient Conversions


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 LLP5th Floor, Bock B2 Nirlon Knowledge Park, Off Western Express Highway, Goregaon (East), Mumbai 400 063www.ey.com/india© 2013 Ernst & Young. All rights reserved

Thank you

data in business analytics perspective for indian healthcare

Documents