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This document contains information and data that AAUM considers confidential. Any disclosure of Confidential Information
to, or use of it by any other party (i.e., a party other than Aaum), will be damaging to AAUM. Ownership of all Confidential
Information, no matter in what media it resides, remains with AAUM.
AAUM Confidential
AAUM Research and Analytics Private Limited
01 N, 1st floor IIT Madras Research Park, Kanagam road, Chennai – 600113
Tel +91 44 66469877 | Fax +91 44 66469877 Email: info@aaumanalytics.com | Web www.aaumanalytics.com
Analytics for Healthcare
5th Dec 2013
- 2 -
Common challenges plaguing health care industry
• Increasing compliance pressures
• Higher patient volumes
• Profitability challenges and cost reduction objectives
• Performance improvement – quality, efficiency & cost
• Improving the patient experience
• Hospital consolidations
• Mobility for clinicians, nurses, and medical technicians
- 3 -
•Managing to a Balanced Scorecard
•Increasing and Improving Performance Management
•Gain Predictive Analysis and run What-if Analysis
•Implement and Assess Activity-Based Management
Executive
•Gain True Patient Level Costing
•Enable Full P&L Analysis by Service Line
•Optimize and Run Scenarios for Risk Management & Sustainability Reporting
•Analyze and Optimize Workforce and Benefits
Finance & HR
•Improve and Optimize Demand Planning
•Enable Procurement Analysis
•Determine, Gauge and Track Supplier Performance
•Optimize and Improve Inventory Management (Pharmacy)
Supply Chain
•Improve and Optimize Planning & Scheduling
•Improve Waiting List Management
•Maximize Bed Management / Usage
•Streamline and Optimize Theatre Utilisation
Operations
•Analyze Clinical Outcomes
•Track and Improve Patient Experience
•Maximize Clinical Financial Performance
•Provide Length of Stay Analysis and Minimize Patient Length of Stay
Clinical
•Track Sickness and Absence
•Analyze Employee Cost / Income
•Improve and Optimize Staff Utilization
•Analyze and Improve Workforce Efficiency
Workforce
Management
Common challenges witnessed across different lines of health care departments
- 4 -
Health
Status
•Healthy
•Minor ailments
•At Risk
•Acutely Ill
•Chronically Ill
•Catastrophic-
ally Ill
Lifestyle
•Rural
•Suburban
•Urban
Socio
economic
•High
•Medium
•Low
Catchment
•Local
•Regional
•National
•International
Access
•In person
•Telephonic
•Electronic
Location
•Home
•Outpatient
setting
•Hospital
•Emergency
department
•Long term
care
•Internet
•Call center
Provider
•Traditional
providers
•Public/Private
insurers
•Alternate
Providers
•Midlevel
provider
•Health
infomediary
Service
•Wellness
•Risk
Assessment
•Prevention
•Acute Care
•Chronic Care
•Complimentar
y Care
Choices , Offerings now need to suite the specifics of the patients!
Consumerism, Personalization, Value, Convergence, Transformation – Health care
requirements are driven by new priorities!
Applying new analytical insights from lifestyle, social and clinical data to assess and anticipate
population health needs would be the key focus.
- 5 -
Enterprise
Health Care
Analytics
Integrate &
aggregate
Query &
analysis
Discover,
Create &
implement
Transform
Acquire
Enterprise Health Analytics has the potential to transform patient care and client
organizations through information
Insights from health care analytics stems from focused and relevant information retrieval
process , enabled by an agile, resilient, and scalable infrastructure.
- 6 -
Enterprise
Health Care
Analytics
Integrate
&
aggregate
Query &
analysis
Discover,
Create &
implement
Transform
Acquire
1
 Health care and business level
transactions
 External data
 Consumer self reported data
 Genomic data
 Images
 Device data
 and many data sources
Enterprise Health Analytics has the potential to transform patient care and client
organizations through information (cont …)
- 7 -
Enterprise
Health Care
Analytics
Integrate
&
aggregate
Query &
analysis
Discover,
Create &
implement
Transform
Acquire  Data quality
 Data governance
 Data standards
 Etc
2
Enterprise Health Analytics has the potential to transform patient care and client
organizations through information (cont …)
- 8 -
Enterprise
Health Care
Analytics
Integrate
&
aggregate
Query &
analysis
Discover,
Create &
implement
Transform
Acquire  Reporting
 Data mining
 Scorecards, dashboards
 Modeling
 Predictive analytics
3
Enterprise Health Analytics has the potential to transform patient care and client
organizations through information (cont …)
- 9 -
Enterprise
Health Care
Analytics
Integrate
&
aggregate
Query &
analysis
Discover,
Create &
implement
Transform
Acquire
 Correlation and trends (new
processes)
 Evidence-based knowledge
(guidelines and rules)
 Analytic insights (cost and
performance)
 Waiting time analysis
 Length of stay analysis & optimization
 Patient satisfaction analysis, reporting and
improvement,
 Healthcare performance analysis
 Procedure cost analysis & optimization
 Patient level costing
 Supply and demand planning
 Staff planning optimization.
 and many more …
4
Enterprise Health Analytics has the potential to transform patient care and client
organizations through information (cont …)
- 10 -
Enterprise
Health Care
Analytics
Integrate
&
aggregate
Query &
analysis
Discover,
Create &
implement
Transform
Acquire  Improved outcomes
 Population-based disease mgmt
 Operations efficiency
5
Enterprise Health Analytics has the potential to transform patient care and client
organizations through information (cont …)
- 11 -
Project Context:
Our client approached AAUM to build and implement analytical models for their Healthcare Claims Intelligence
and Insights solution that was targeted at US Healthcare providers
AAUM’s Contribution:
• A workflow and architecture for the claims engine was designed after interactions with the client
• Comprehensive collection of data from the client was undertaken to frame the input for the model
• Based on the design and data, the model was built with flexibility to be customized across client
requirements
Sample Deliverables
Case Study: Building Claims Analytics solutions for Healthcare
Workflow and architecture
of the claims engine were
designed
Claims, Provider, Billing team and
call data were used as input
variables to build the model
The outcome of the approach was a
model which could be customized
as per client requirements
- 12 -
Questions/Feedback?
Contact us
01 N, 1st floor IIT Madras Research Park, Kanagam road, Chennai – 600113
Tel :` +91 44 66469877, Fax:+91 44 66469877
Email: info@aaumanalytics.com, Skype:b.rajeshkumar
Twitter: AaumAnalytics, Web: www.aaumanalytics.com
Facebook: http://www.facebook.com/AaumAnalytics
LinkedIn: http://www.linkedin.com/company/aaum-research-and-analytics-iit-madras
Aaum’s office at IIT Madras Research
Park
About Aaum
Aaum Research and Analytics founded by IIT Madras alumnus
brings in extensive global business experience working with
Fortune 100 companies in North America and Asia Pacific.
Incubated at IIT Madras Incubator ecosystem with a focus on
researching and devising the sophisticated analytical
techniques to solve the pressing business needs of
corporations ranging from travel &l logistics, finance,
insurance, HR, Health Care, Entertainment, FMCGs, retail,
Telecom. “Organizations are competing on analytics not just
because they can- but because they should…”

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Healthcare

  • 1. This document contains information and data that AAUM considers confidential. Any disclosure of Confidential Information to, or use of it by any other party (i.e., a party other than Aaum), will be damaging to AAUM. Ownership of all Confidential Information, no matter in what media it resides, remains with AAUM. AAUM Confidential AAUM Research and Analytics Private Limited 01 N, 1st floor IIT Madras Research Park, Kanagam road, Chennai – 600113 Tel +91 44 66469877 | Fax +91 44 66469877 Email: info@aaumanalytics.com | Web www.aaumanalytics.com Analytics for Healthcare 5th Dec 2013
  • 2. - 2 - Common challenges plaguing health care industry • Increasing compliance pressures • Higher patient volumes • Profitability challenges and cost reduction objectives • Performance improvement – quality, efficiency & cost • Improving the patient experience • Hospital consolidations • Mobility for clinicians, nurses, and medical technicians
  • 3. - 3 - •Managing to a Balanced Scorecard •Increasing and Improving Performance Management •Gain Predictive Analysis and run What-if Analysis •Implement and Assess Activity-Based Management Executive •Gain True Patient Level Costing •Enable Full P&L Analysis by Service Line •Optimize and Run Scenarios for Risk Management & Sustainability Reporting •Analyze and Optimize Workforce and Benefits Finance & HR •Improve and Optimize Demand Planning •Enable Procurement Analysis •Determine, Gauge and Track Supplier Performance •Optimize and Improve Inventory Management (Pharmacy) Supply Chain •Improve and Optimize Planning & Scheduling •Improve Waiting List Management •Maximize Bed Management / Usage •Streamline and Optimize Theatre Utilisation Operations •Analyze Clinical Outcomes •Track and Improve Patient Experience •Maximize Clinical Financial Performance •Provide Length of Stay Analysis and Minimize Patient Length of Stay Clinical •Track Sickness and Absence •Analyze Employee Cost / Income •Improve and Optimize Staff Utilization •Analyze and Improve Workforce Efficiency Workforce Management Common challenges witnessed across different lines of health care departments
  • 4. - 4 - Health Status •Healthy •Minor ailments •At Risk •Acutely Ill •Chronically Ill •Catastrophic- ally Ill Lifestyle •Rural •Suburban •Urban Socio economic •High •Medium •Low Catchment •Local •Regional •National •International Access •In person •Telephonic •Electronic Location •Home •Outpatient setting •Hospital •Emergency department •Long term care •Internet •Call center Provider •Traditional providers •Public/Private insurers •Alternate Providers •Midlevel provider •Health infomediary Service •Wellness •Risk Assessment •Prevention •Acute Care •Chronic Care •Complimentar y Care Choices , Offerings now need to suite the specifics of the patients! Consumerism, Personalization, Value, Convergence, Transformation – Health care requirements are driven by new priorities! Applying new analytical insights from lifestyle, social and clinical data to assess and anticipate population health needs would be the key focus.
  • 5. - 5 - Enterprise Health Care Analytics Integrate & aggregate Query & analysis Discover, Create & implement Transform Acquire Enterprise Health Analytics has the potential to transform patient care and client organizations through information Insights from health care analytics stems from focused and relevant information retrieval process , enabled by an agile, resilient, and scalable infrastructure.
  • 6. - 6 - Enterprise Health Care Analytics Integrate & aggregate Query & analysis Discover, Create & implement Transform Acquire 1  Health care and business level transactions  External data  Consumer self reported data  Genomic data  Images  Device data  and many data sources Enterprise Health Analytics has the potential to transform patient care and client organizations through information (cont …)
  • 7. - 7 - Enterprise Health Care Analytics Integrate & aggregate Query & analysis Discover, Create & implement Transform Acquire  Data quality  Data governance  Data standards  Etc 2 Enterprise Health Analytics has the potential to transform patient care and client organizations through information (cont …)
  • 8. - 8 - Enterprise Health Care Analytics Integrate & aggregate Query & analysis Discover, Create & implement Transform Acquire  Reporting  Data mining  Scorecards, dashboards  Modeling  Predictive analytics 3 Enterprise Health Analytics has the potential to transform patient care and client organizations through information (cont …)
  • 9. - 9 - Enterprise Health Care Analytics Integrate & aggregate Query & analysis Discover, Create & implement Transform Acquire  Correlation and trends (new processes)  Evidence-based knowledge (guidelines and rules)  Analytic insights (cost and performance)  Waiting time analysis  Length of stay analysis & optimization  Patient satisfaction analysis, reporting and improvement,  Healthcare performance analysis  Procedure cost analysis & optimization  Patient level costing  Supply and demand planning  Staff planning optimization.  and many more … 4 Enterprise Health Analytics has the potential to transform patient care and client organizations through information (cont …)
  • 10. - 10 - Enterprise Health Care Analytics Integrate & aggregate Query & analysis Discover, Create & implement Transform Acquire  Improved outcomes  Population-based disease mgmt  Operations efficiency 5 Enterprise Health Analytics has the potential to transform patient care and client organizations through information (cont …)
  • 11. - 11 - Project Context: Our client approached AAUM to build and implement analytical models for their Healthcare Claims Intelligence and Insights solution that was targeted at US Healthcare providers AAUM’s Contribution: • A workflow and architecture for the claims engine was designed after interactions with the client • Comprehensive collection of data from the client was undertaken to frame the input for the model • Based on the design and data, the model was built with flexibility to be customized across client requirements Sample Deliverables Case Study: Building Claims Analytics solutions for Healthcare Workflow and architecture of the claims engine were designed Claims, Provider, Billing team and call data were used as input variables to build the model The outcome of the approach was a model which could be customized as per client requirements
  • 12. - 12 - Questions/Feedback? Contact us 01 N, 1st floor IIT Madras Research Park, Kanagam road, Chennai – 600113 Tel :` +91 44 66469877, Fax:+91 44 66469877 Email: info@aaumanalytics.com, Skype:b.rajeshkumar Twitter: AaumAnalytics, Web: www.aaumanalytics.com Facebook: http://www.facebook.com/AaumAnalytics LinkedIn: http://www.linkedin.com/company/aaum-research-and-analytics-iit-madras Aaum’s office at IIT Madras Research Park About Aaum Aaum Research and Analytics founded by IIT Madras alumnus brings in extensive global business experience working with Fortune 100 companies in North America and Asia Pacific. Incubated at IIT Madras Incubator ecosystem with a focus on researching and devising the sophisticated analytical techniques to solve the pressing business needs of corporations ranging from travel &l logistics, finance, insurance, HR, Health Care, Entertainment, FMCGs, retail, Telecom. “Organizations are competing on analytics not just because they can- but because they should…”