Data in business analytics perspective for indian healthcare market
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Data in Business Analytics Perspective for Indian Healthcare Market By Debashis Basu Partner and Leader Enterprise Intelligence and Analytics EY India, Know More Here: http://transformhealth-it.org/

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Data in business analytics perspective for indian healthcare market

Data in Business AnalyticsPerspective for Indian Healthcare Market

DebashisBasu

Partner and Leader Enterprise Intelligence and Analytics

EY India

September 7, 2013


Challenges with data analytics in healthcare

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


Emerging markets india specific challenges

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


Silver lining for data analytics for indian healthcare providers

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


The healthcare business intelligence epm landscape

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

Performance Management

Business Intelligence

Data Warehouse

Functional Systems

4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India


The healthcare business intelligence epm landscape1

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

  • Performance Management

    Business Intelligence

    Data Warehouse

    Functional Systems

    4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India


    Key problems inefficiency lack of visibility

    Assignment & Transfer Delays

    Limited Capacity Intelligence

    Delayed Discharges

    Key Problems – Inefficiency & lack of visibility

    “My housekeeping staff finds out about discharged patients by checking a handwritten log.”

    “My surgeries are being canceled for want of an inpatient bed”

    Unmonitored bed turnaround

    Delayed visibility of empty beds

    Unseen capacity

    Transport delays

    Equipment/pharmacy req

    Test results

    ““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

    4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India


    Integrating information across silos in real time

    Drill Down Visibility

    Root Cause Analysis

    Predictive Early Warning

    Integrating Information Across Silos in Real time

    Operational

    & Financial

    Clinical &

    Quality

    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


    Hospital epm solutions landscape

    Hospital EPM Solutions Landscape

    4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India


    Benefits increased admissions roi gain for hospitals

    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

    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


    Illustrative out come

    Illustrative out come

    ACTUAL PERFORMANCE25% Improvement in Bed Requested vs. Bed Assigned

    • 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 PERFORMANCE10% Improvement in Inpatient Conversions

    4th International Conference on Transforming Healthcare with IT - 6th – 7th Sep. 2013 Hyderabad, India


    Data in business analytics perspective for indian healthcare

    Thank you

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