SlideShare ist ein Scribd-Unternehmen logo
1 von 21
John Ward, Alain Feussi, James Young
BIS 656
6/18/2014
This paper defines and summarizes the huge
challenge ahead of North American
healthcare providers by illuminating current
and future trends of medical business
intelligence (BI), ramifications of EMR, the
pros and cons of BI and analytics, the myriad
ethical and privacy issues of big data’s role,
and lastly provide an industry overview of BI
and analytics solutions specific to healthcare.
Overview
 Electronic Medical Records (EMR) Mandate
 Present Day Healthcare BI
 Need for Healthcare “Big Data”
 Healthcare Analytics Pros & Cons
 Healthcare BI Solutions: Industry Overview
 Vendor Analysis – Key Terms
 SaaS Advantages
 On-Premise Solution
 Big Four Vendors
 Key Niche Vendors
 Conclusion
Content
Current Status of EMR Mandate
 Healthcare providers and the American Recovery and
Reinvestment Act of 2009
 Deploy an EMR solution or face penalties starting in 2015
 Must prove “meaningful use”
 Using a certified EMR
 Improved health quality and safety
 Improved health delivery efficacy
 Reduced disparities in healthcare
 Improved interaction with patients and families
 Advancement in the coordination of care
Current Status of EMR Mandate
Healthcare providers and the American Recovery
and Reinvestment Act of 2009 (continued)
 Compliance
 49% of small healthcare systems (< 2 FTE physicians) compliant
 83% of large healthcare systems (> 5 FTE physicians) compliant
 Cost to deploy EMR significant to small providers
Present Day Healthcare BI
80% of medical data is unstructured and clinically
relevant
Healthcare lags other industries in adoption of BI
Some healthcare organizations with BI making
decisions on comprehensive information
Improves patient and financial outcomes
Healthcare providers looking at ERP systems with BI
Healthcare ERP/BI solution are becoming more robust
Present Day Healthcare BI
 Healthcare providers Wish List
Enterprise Healthcare Business Intelligence
Predictive Analytics
Accountable Care Predictive Analytics
Healthcare Data Integration
Data Warehousing Population
Being Able to Visualize Data
Need for Healthcare “Big Data”
Larger scale benefits
Advances in predicting influenza outbreaks and
strain
Clinical responses based on “Big Data”
National BI on latest treatments and results
Healthcare cost reduction on National level
Current information on clinical trials and results
Healthcare BI has moved from a “nice to have” to a “must have”!
Healthcare Analytics & Big Data
Pros & Cons
Ethical Considerations
Life Extension & Quality of Life
Potential Misuse
Personal Privacy vs. Societal Benefit
Healthcare Analytics & Big Data
Pros & Cons
Analytics ROI
Reduction of Fraud & Claim Abuse
BetterTreatments=FewerMalpracticeClaims
Threat of Loss of Insurance Coverage?
Healthcare Analytics & Big Data
Pros & Cons
Analytics – The Dark Side
Potential Withholding of Treatments
Demographic Profiling
Is Anything Truly Private?
Healthcare Analytics & Big Data
Pros & Cons
Ethical Conclusions
OpportunityforMisuse,ButNotRealized
Cost Savings – For Patients or Doctors?
Ethical & Legal Issues Unresolved
Healthcare BI Solutions:
Industry Overview
Criteria to consider when selecting a BI solution
 Technology model
 TCO
 Ease of use/learning
 Market Share /Key client
 Complexity/capabilities
 Cost Reduction
 Health Improvement through proactive Care
 Company Size
Definition of Keys Terms for
Understanding the Vendor Table
 SaaS: Software As A Service: a model of software deployment
where an application is hosted as a service provided to customers
over the Internet
 SaaS reduces the customer’s need for software maintenance,
operation, and support
 The traditional model still accounts for most of the software
acquisition, but the SaaS is changing the dynamic very rapidly.
SaaS Advantages
No software licensing costs
No new infrastructure requirements
Low Cost of services
Vendors take care of the data security
On-Premise Solution
Brick-and-mortar method
Company has all the technology
deployed on its premises
All hardware and software on premise
On-Premise Advantages
 Control over all systems and data,
 Corporate data is stored and handled internally
 Dedicated IT staff for maintenance/support
 Initial investment is high but pays off over time
Note: Both technology models have disadvantages , for example data
security and confidentiality for SaaS and Cost for On-premise solution
The Big Four Vendors
SAP Oracle IBM Microsoft
Name of the product SAP
BusinessObjects
Edge BI for
Healthcare
Industries
Oracle Business
Intelligence
Publisher
IBM Cognos
and SPSS
MicroSoft
HealthVault
Technology model SaaS, On-
Premise
Saas, On-
premise
Saas, On-
premise
Saas , On-
premise
TCO Limited to
monthly fees if
SaaS chosen
Depend on the
technology
model, but
SaaS is cheaper
Depend on the
technology
model, but SaaS
is cheaper
Depend on
the
technology
model, but
SaaS is
cheaper
Ease of use/learning Initial Setup is
complex, but
Users training
is simple
Training and
ease of use is
relatively equal
to SAP
Easy to use and
great material
for training
Easy to use
and great
material for
training
Market Share /Key
client
Welch
Allyn(US),
Kindred
Healthcare
(US)
Novation Inc.
(US)
Trillium Health
Centre,
Martin’s Point,
VITAS, The
Neighborhood
Health Plan of
Rhode Island
Bancroft,
Helse Vest,
Texas
Children’s
Hospital
Complexity/capabilities Great
capabilities in
Trend Analysis
Leader in terms
of
implementation
time, Get
quicker
configuration
diagnostics,
Oracle BI pillar
partner and
recognized
leader in the
implementation
Implementation
is simple and
IBM has reliable
training
materials.
Cognosis is
helping 1000s
of healthcare
organizations
create a more
patient-centric,
value-based,
Optimize
your EMR
with an
infrastructure
that is
reliable, cost-
effective, and
flexible today
and the
future
The Big Four Vendors (Cont.)
Cost Reduction Cost effective
according to
customer
testimonials
on Sap.com
Similar benefit
with SAP
Tangible
benefits as
well as
intangibles
benefits as
described
above
Tangible
benefits as
well as
intangibles
benefits as
described
above
Health Improvement
through proactive Care
EMR feature
integrated to
allow such
proactive
targeting
EMR feature
integrated to
allow such
proactive
targeting
EMR feature
integrated to
allow such
proactive
targeting
EMR
feature
integrated
to allow
such
proactive
targeting
Company Size Perfect for
Midsize
Companies
Medium and
Large
companies
HealthCare
Organization
of all sizes
Medium
and Large
companies
 1-ARCPLAN
Sample Customers: HCA, OTTOBUCK, SCRIPPS…
 2-TARGIT
Sample Customers: Animus, Mediterraneo, Hospital Corporation of
America, Children's Hospital
 3-ACTUATE
Sample Customers: Alta Med, Accordant, HCA, Children’s Hospital
 4-JASPERSOFT
Relay Health, HealthPort, Dynamic Healthcare, MediGroup. Ltd.
Niche Players
Conclusion
 Small Healthcare providers stretched to meet
ARRA EMR deadline
 Many ethical and privacy issues are unresolved
 Industry is still developing and maturing
 Healthcare BI will be a ‘must have’ for
healthcare providers to stay competitive and
current
 Significant medical benefits exist outside the
individual healthcare provider

Weitere ähnliche Inhalte

Was ist angesagt?

Platforms and Partnerships: The Building Blocks for Digital Innovation
Platforms and Partnerships: The Building Blocks for Digital InnovationPlatforms and Partnerships: The Building Blocks for Digital Innovation
Platforms and Partnerships: The Building Blocks for Digital InnovationHealth Catalyst
 
Social Determinants of Health: Tools to Leverage Today's Data Imperative
Social Determinants of Health: Tools to Leverage Today's Data ImperativeSocial Determinants of Health: Tools to Leverage Today's Data Imperative
Social Determinants of Health: Tools to Leverage Today's Data ImperativeHealth Catalyst
 
Population Health Management: Path to Value
Population Health Management: Path to ValuePopulation Health Management: Path to Value
Population Health Management: Path to ValueHealth Catalyst
 
The Next Revolution in Healthcare: Why the New MSSP Revisions Matter Now More...
The Next Revolution in Healthcare: Why the New MSSP Revisions Matter Now More...The Next Revolution in Healthcare: Why the New MSSP Revisions Matter Now More...
The Next Revolution in Healthcare: Why the New MSSP Revisions Matter Now More...Health Catalyst
 
Population Health Success: Three Ways to Leverage Data
Population Health Success: Three Ways to Leverage DataPopulation Health Success: Three Ways to Leverage Data
Population Health Success: Three Ways to Leverage DataHealth Catalyst
 
Healthcare analytics-vendors
Healthcare analytics-vendorsHealthcare analytics-vendors
Healthcare analytics-vendorsRobert Levy
 
6 Essential Data Analyst Skills for Your Healthcare Organization
6 Essential Data Analyst Skills for Your Healthcare Organization6 Essential Data Analyst Skills for Your Healthcare Organization
6 Essential Data Analyst Skills for Your Healthcare OrganizationHealth Catalyst
 
Semantic Technology for Provider-Payer-Pharma Data Collaboration
Semantic Technology for Provider-Payer-Pharma Data CollaborationSemantic Technology for Provider-Payer-Pharma Data Collaboration
Semantic Technology for Provider-Payer-Pharma Data CollaborationThomas Kelly, PMP
 
Business Intelligence And Healthcare White Paper (English)
Business Intelligence And Healthcare White Paper (English)Business Intelligence And Healthcare White Paper (English)
Business Intelligence And Healthcare White Paper (English)smitchell1974
 
How to Achieve the Competencies of Successful Value-based Contracting Delive...
How to Achieve the Competencies of Successful Value-based Contracting Delive...How to Achieve the Competencies of Successful Value-based Contracting Delive...
How to Achieve the Competencies of Successful Value-based Contracting Delive...Health Catalyst
 
Alteryx Investor Presentation 080217
Alteryx Investor Presentation 080217Alteryx Investor Presentation 080217
Alteryx Investor Presentation 080217alteryxinvestor
 
Healthcare Analytics Adoption Model
Healthcare Analytics Adoption ModelHealthcare Analytics Adoption Model
Healthcare Analytics Adoption ModelHealth Catalyst
 
Healthcare Total Cost of Care Analysis: A Vital Tool
Healthcare Total Cost of Care Analysis: A Vital ToolHealthcare Total Cost of Care Analysis: A Vital Tool
Healthcare Total Cost of Care Analysis: A Vital ToolHealth Catalyst
 
Healthcare 2.0: The Age of Analytics
Healthcare 2.0: The Age of AnalyticsHealthcare 2.0: The Age of Analytics
Healthcare 2.0: The Age of AnalyticsDale Sanders
 
How to Drive ROI from Your Healthcare Projects: Practical Tools, Templates, a...
How to Drive ROI from Your Healthcare Projects: Practical Tools, Templates, a...How to Drive ROI from Your Healthcare Projects: Practical Tools, Templates, a...
How to Drive ROI from Your Healthcare Projects: Practical Tools, Templates, a...Health Catalyst
 
3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare
3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare
3 Perspectives to Better Apply Predictive & Prescriptive Models in HealthcareHealth Catalyst
 
The Missing Ingredient in Healthcare Analytics: The Executive Sponsor
The Missing Ingredient in Healthcare Analytics: The Executive SponsorThe Missing Ingredient in Healthcare Analytics: The Executive Sponsor
The Missing Ingredient in Healthcare Analytics: The Executive SponsorHealth Catalyst
 
The Top Seven Healthcare Outcome Measures and Three Measurement Essentials
The Top Seven Healthcare Outcome Measures and Three Measurement EssentialsThe Top Seven Healthcare Outcome Measures and Three Measurement Essentials
The Top Seven Healthcare Outcome Measures and Three Measurement EssentialsHealth Catalyst
 
Clinical Data Repository vs. A Data Warehouse - Which Do You Need?
Clinical Data Repository vs. A Data Warehouse - Which Do You Need?Clinical Data Repository vs. A Data Warehouse - Which Do You Need?
Clinical Data Repository vs. A Data Warehouse - Which Do You Need?Health Catalyst
 
What the ONC's Proposed Rule on Information Blocking Means for Your Work
What the ONC's Proposed Rule on Information Blocking Means for Your WorkWhat the ONC's Proposed Rule on Information Blocking Means for Your Work
What the ONC's Proposed Rule on Information Blocking Means for Your WorkHealth Catalyst
 

Was ist angesagt? (20)

Platforms and Partnerships: The Building Blocks for Digital Innovation
Platforms and Partnerships: The Building Blocks for Digital InnovationPlatforms and Partnerships: The Building Blocks for Digital Innovation
Platforms and Partnerships: The Building Blocks for Digital Innovation
 
Social Determinants of Health: Tools to Leverage Today's Data Imperative
Social Determinants of Health: Tools to Leverage Today's Data ImperativeSocial Determinants of Health: Tools to Leverage Today's Data Imperative
Social Determinants of Health: Tools to Leverage Today's Data Imperative
 
Population Health Management: Path to Value
Population Health Management: Path to ValuePopulation Health Management: Path to Value
Population Health Management: Path to Value
 
The Next Revolution in Healthcare: Why the New MSSP Revisions Matter Now More...
The Next Revolution in Healthcare: Why the New MSSP Revisions Matter Now More...The Next Revolution in Healthcare: Why the New MSSP Revisions Matter Now More...
The Next Revolution in Healthcare: Why the New MSSP Revisions Matter Now More...
 
Population Health Success: Three Ways to Leverage Data
Population Health Success: Three Ways to Leverage DataPopulation Health Success: Three Ways to Leverage Data
Population Health Success: Three Ways to Leverage Data
 
Healthcare analytics-vendors
Healthcare analytics-vendorsHealthcare analytics-vendors
Healthcare analytics-vendors
 
6 Essential Data Analyst Skills for Your Healthcare Organization
6 Essential Data Analyst Skills for Your Healthcare Organization6 Essential Data Analyst Skills for Your Healthcare Organization
6 Essential Data Analyst Skills for Your Healthcare Organization
 
Semantic Technology for Provider-Payer-Pharma Data Collaboration
Semantic Technology for Provider-Payer-Pharma Data CollaborationSemantic Technology for Provider-Payer-Pharma Data Collaboration
Semantic Technology for Provider-Payer-Pharma Data Collaboration
 
Business Intelligence And Healthcare White Paper (English)
Business Intelligence And Healthcare White Paper (English)Business Intelligence And Healthcare White Paper (English)
Business Intelligence And Healthcare White Paper (English)
 
How to Achieve the Competencies of Successful Value-based Contracting Delive...
How to Achieve the Competencies of Successful Value-based Contracting Delive...How to Achieve the Competencies of Successful Value-based Contracting Delive...
How to Achieve the Competencies of Successful Value-based Contracting Delive...
 
Alteryx Investor Presentation 080217
Alteryx Investor Presentation 080217Alteryx Investor Presentation 080217
Alteryx Investor Presentation 080217
 
Healthcare Analytics Adoption Model
Healthcare Analytics Adoption ModelHealthcare Analytics Adoption Model
Healthcare Analytics Adoption Model
 
Healthcare Total Cost of Care Analysis: A Vital Tool
Healthcare Total Cost of Care Analysis: A Vital ToolHealthcare Total Cost of Care Analysis: A Vital Tool
Healthcare Total Cost of Care Analysis: A Vital Tool
 
Healthcare 2.0: The Age of Analytics
Healthcare 2.0: The Age of AnalyticsHealthcare 2.0: The Age of Analytics
Healthcare 2.0: The Age of Analytics
 
How to Drive ROI from Your Healthcare Projects: Practical Tools, Templates, a...
How to Drive ROI from Your Healthcare Projects: Practical Tools, Templates, a...How to Drive ROI from Your Healthcare Projects: Practical Tools, Templates, a...
How to Drive ROI from Your Healthcare Projects: Practical Tools, Templates, a...
 
3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare
3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare
3 Perspectives to Better Apply Predictive & Prescriptive Models in Healthcare
 
The Missing Ingredient in Healthcare Analytics: The Executive Sponsor
The Missing Ingredient in Healthcare Analytics: The Executive SponsorThe Missing Ingredient in Healthcare Analytics: The Executive Sponsor
The Missing Ingredient in Healthcare Analytics: The Executive Sponsor
 
The Top Seven Healthcare Outcome Measures and Three Measurement Essentials
The Top Seven Healthcare Outcome Measures and Three Measurement EssentialsThe Top Seven Healthcare Outcome Measures and Three Measurement Essentials
The Top Seven Healthcare Outcome Measures and Three Measurement Essentials
 
Clinical Data Repository vs. A Data Warehouse - Which Do You Need?
Clinical Data Repository vs. A Data Warehouse - Which Do You Need?Clinical Data Repository vs. A Data Warehouse - Which Do You Need?
Clinical Data Repository vs. A Data Warehouse - Which Do You Need?
 
What the ONC's Proposed Rule on Information Blocking Means for Your Work
What the ONC's Proposed Rule on Information Blocking Means for Your WorkWhat the ONC's Proposed Rule on Information Blocking Means for Your Work
What the ONC's Proposed Rule on Information Blocking Means for Your Work
 

Ähnlich wie Current Status of Healthcare Analytics

Health Care EA Presentation
Health Care EA PresentationHealth Care EA Presentation
Health Care EA PresentationBill Wimsatt
 
Aman Quadri - Future Trends with Health and Wellness.
Aman Quadri - Future Trends with Health and Wellness.Aman Quadri - Future Trends with Health and Wellness.
Aman Quadri - Future Trends with Health and Wellness.Dataconomy Media
 
Transforming Healthcare through Data & Analytics
Transforming Healthcare through Data & AnalyticsTransforming Healthcare through Data & Analytics
Transforming Healthcare through Data & AnalyticsOnur Torusoglu
 
Shapingthenewhealthcaresystem keynoteaddressbyonurtorusoglu-171031161749
Shapingthenewhealthcaresystem keynoteaddressbyonurtorusoglu-171031161749Shapingthenewhealthcaresystem keynoteaddressbyonurtorusoglu-171031161749
Shapingthenewhealthcaresystem keynoteaddressbyonurtorusoglu-171031161749Tatiane Feliciano
 
Accelerating Your Move to Value-Based Care
Accelerating Your Move to Value-Based CareAccelerating Your Move to Value-Based Care
Accelerating Your Move to Value-Based Careibi
 
Iese essay : Industry OV
Iese   essay : Industry OVIese   essay : Industry OV
Iese essay : Industry OVNaresh Shah
 
141009 dhc check up bill james
141009 dhc check up   bill james141009 dhc check up   bill james
141009 dhc check up bill jamesSteven Rubis
 
Using Advanced Analytics for Value-based Healthcare Delivery
Using Advanced Analytics for Value-based Healthcare DeliveryUsing Advanced Analytics for Value-based Healthcare Delivery
Using Advanced Analytics for Value-based Healthcare DeliveryMichael Joseph
 
Going Beyond the EMR for Data-driven Insights in Healthcare
Going Beyond the EMR for Data-driven Insights in HealthcareGoing Beyond the EMR for Data-driven Insights in Healthcare
Going Beyond the EMR for Data-driven Insights in HealthcarePerficient, Inc.
 
Data-driven Healthcare for Manufacturers
Data-driven Healthcare for ManufacturersData-driven Healthcare for Manufacturers
Data-driven Healthcare for ManufacturersLindaWatson19
 
Data-Driven Healthcare for Manufacturers
Data-Driven Healthcare for Manufacturers Data-Driven Healthcare for Manufacturers
Data-Driven Healthcare for Manufacturers Amit Mishra
 
Mobility, Analytics & Big Data for Life Sciences
Mobility, Analytics & Big Data for Life SciencesMobility, Analytics & Big Data for Life Sciences
Mobility, Analytics & Big Data for Life Sciencesjoemiles35
 
The Health Catalyst Data Operating System (DOS™): Lessons Learned and Plans ...
The Health Catalyst Data Operating System (DOS™): Lessons Learned and Plans ...The Health Catalyst Data Operating System (DOS™): Lessons Learned and Plans ...
The Health Catalyst Data Operating System (DOS™): Lessons Learned and Plans ...Health Catalyst
 
Transform to Cognitive Healthcare with IBM Software Defined Infrastructure an...
Transform to Cognitive Healthcare with IBM Software Defined Infrastructure an...Transform to Cognitive Healthcare with IBM Software Defined Infrastructure an...
Transform to Cognitive Healthcare with IBM Software Defined Infrastructure an...Paula Koziol
 
Harnessing the Power of Healthcare Data: Are We There Yet
Harnessing the Power of Healthcare Data: Are We There YetHarnessing the Power of Healthcare Data: Are We There Yet
Harnessing the Power of Healthcare Data: Are We There YetHealth Catalyst
 
Late Binding: The New Standard For Data Warehousing
Late Binding: The New Standard For Data WarehousingLate Binding: The New Standard For Data Warehousing
Late Binding: The New Standard For Data WarehousingHealth Catalyst
 
Edgewater Technology Healthcare 2009
Edgewater Technology Healthcare 2009Edgewater Technology Healthcare 2009
Edgewater Technology Healthcare 2009Charles Wilson
 
Agnostic Analytics Solutions vs. EHRs: Six Reasons EHRs Can’t Deliver True He...
Agnostic Analytics Solutions vs. EHRs: Six Reasons EHRs Can’t Deliver True He...Agnostic Analytics Solutions vs. EHRs: Six Reasons EHRs Can’t Deliver True He...
Agnostic Analytics Solutions vs. EHRs: Six Reasons EHRs Can’t Deliver True He...Health Catalyst
 
How to Leverage Increased Data Granularity in the ICD-10 Code Set
How to Leverage Increased Data Granularity in the ICD-10 Code SetHow to Leverage Increased Data Granularity in the ICD-10 Code Set
How to Leverage Increased Data Granularity in the ICD-10 Code SetPerficient, Inc.
 

Ähnlich wie Current Status of Healthcare Analytics (20)

Health Care EA Presentation
Health Care EA PresentationHealth Care EA Presentation
Health Care EA Presentation
 
Aman Quadri - Future Trends with Health and Wellness.
Aman Quadri - Future Trends with Health and Wellness.Aman Quadri - Future Trends with Health and Wellness.
Aman Quadri - Future Trends with Health and Wellness.
 
Transforming Healthcare through Data & Analytics
Transforming Healthcare through Data & AnalyticsTransforming Healthcare through Data & Analytics
Transforming Healthcare through Data & Analytics
 
Shapingthenewhealthcaresystem keynoteaddressbyonurtorusoglu-171031161749
Shapingthenewhealthcaresystem keynoteaddressbyonurtorusoglu-171031161749Shapingthenewhealthcaresystem keynoteaddressbyonurtorusoglu-171031161749
Shapingthenewhealthcaresystem keynoteaddressbyonurtorusoglu-171031161749
 
Accelerating Your Move to Value-Based Care
Accelerating Your Move to Value-Based CareAccelerating Your Move to Value-Based Care
Accelerating Your Move to Value-Based Care
 
Iese essay : Industry OV
Iese   essay : Industry OVIese   essay : Industry OV
Iese essay : Industry OV
 
141009 dhc check up bill james
141009 dhc check up   bill james141009 dhc check up   bill james
141009 dhc check up bill james
 
Predictive Health Population Analytics
Predictive Health Population AnalyticsPredictive Health Population Analytics
Predictive Health Population Analytics
 
Using Advanced Analytics for Value-based Healthcare Delivery
Using Advanced Analytics for Value-based Healthcare DeliveryUsing Advanced Analytics for Value-based Healthcare Delivery
Using Advanced Analytics for Value-based Healthcare Delivery
 
Going Beyond the EMR for Data-driven Insights in Healthcare
Going Beyond the EMR for Data-driven Insights in HealthcareGoing Beyond the EMR for Data-driven Insights in Healthcare
Going Beyond the EMR for Data-driven Insights in Healthcare
 
Data-driven Healthcare for Manufacturers
Data-driven Healthcare for ManufacturersData-driven Healthcare for Manufacturers
Data-driven Healthcare for Manufacturers
 
Data-Driven Healthcare for Manufacturers
Data-Driven Healthcare for Manufacturers Data-Driven Healthcare for Manufacturers
Data-Driven Healthcare for Manufacturers
 
Mobility, Analytics & Big Data for Life Sciences
Mobility, Analytics & Big Data for Life SciencesMobility, Analytics & Big Data for Life Sciences
Mobility, Analytics & Big Data for Life Sciences
 
The Health Catalyst Data Operating System (DOS™): Lessons Learned and Plans ...
The Health Catalyst Data Operating System (DOS™): Lessons Learned and Plans ...The Health Catalyst Data Operating System (DOS™): Lessons Learned and Plans ...
The Health Catalyst Data Operating System (DOS™): Lessons Learned and Plans ...
 
Transform to Cognitive Healthcare with IBM Software Defined Infrastructure an...
Transform to Cognitive Healthcare with IBM Software Defined Infrastructure an...Transform to Cognitive Healthcare with IBM Software Defined Infrastructure an...
Transform to Cognitive Healthcare with IBM Software Defined Infrastructure an...
 
Harnessing the Power of Healthcare Data: Are We There Yet
Harnessing the Power of Healthcare Data: Are We There YetHarnessing the Power of Healthcare Data: Are We There Yet
Harnessing the Power of Healthcare Data: Are We There Yet
 
Late Binding: The New Standard For Data Warehousing
Late Binding: The New Standard For Data WarehousingLate Binding: The New Standard For Data Warehousing
Late Binding: The New Standard For Data Warehousing
 
Edgewater Technology Healthcare 2009
Edgewater Technology Healthcare 2009Edgewater Technology Healthcare 2009
Edgewater Technology Healthcare 2009
 
Agnostic Analytics Solutions vs. EHRs: Six Reasons EHRs Can’t Deliver True He...
Agnostic Analytics Solutions vs. EHRs: Six Reasons EHRs Can’t Deliver True He...Agnostic Analytics Solutions vs. EHRs: Six Reasons EHRs Can’t Deliver True He...
Agnostic Analytics Solutions vs. EHRs: Six Reasons EHRs Can’t Deliver True He...
 
How to Leverage Increased Data Granularity in the ICD-10 Code Set
How to Leverage Increased Data Granularity in the ICD-10 Code SetHow to Leverage Increased Data Granularity in the ICD-10 Code Set
How to Leverage Increased Data Granularity in the ICD-10 Code Set
 

Kürzlich hochgeladen

SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...Elaine Werffeli
 
Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...
Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...
Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...Klinik kandungan
 
Top profile Call Girls In bhavnagar [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In bhavnagar [ 7014168258 ] Call Me For Genuine Models...Top profile Call Girls In bhavnagar [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In bhavnagar [ 7014168258 ] Call Me For Genuine Models...gajnagarg
 
Nirala Nagar / Cheap Call Girls In Lucknow Phone No 9548273370 Elite Escort S...
Nirala Nagar / Cheap Call Girls In Lucknow Phone No 9548273370 Elite Escort S...Nirala Nagar / Cheap Call Girls In Lucknow Phone No 9548273370 Elite Escort S...
Nirala Nagar / Cheap Call Girls In Lucknow Phone No 9548273370 Elite Escort S...HyderabadDolls
 
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Valters Lauzums
 
Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...
Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...
Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...HyderabadDolls
 
Computer science Sql cheat sheet.pdf.pdf
Computer science Sql cheat sheet.pdf.pdfComputer science Sql cheat sheet.pdf.pdf
Computer science Sql cheat sheet.pdf.pdfSayantanBiswas37
 
Sonagachi * best call girls in Kolkata | ₹,9500 Pay Cash 8005736733 Free Home...
Sonagachi * best call girls in Kolkata | ₹,9500 Pay Cash 8005736733 Free Home...Sonagachi * best call girls in Kolkata | ₹,9500 Pay Cash 8005736733 Free Home...
Sonagachi * best call girls in Kolkata | ₹,9500 Pay Cash 8005736733 Free Home...HyderabadDolls
 
Top profile Call Girls In Begusarai [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In Begusarai [ 7014168258 ] Call Me For Genuine Models...Top profile Call Girls In Begusarai [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In Begusarai [ 7014168258 ] Call Me For Genuine Models...nirzagarg
 
Jodhpur Park | Call Girls in Kolkata Phone No 8005736733 Elite Escort Service...
Jodhpur Park | Call Girls in Kolkata Phone No 8005736733 Elite Escort Service...Jodhpur Park | Call Girls in Kolkata Phone No 8005736733 Elite Escort Service...
Jodhpur Park | Call Girls in Kolkata Phone No 8005736733 Elite Escort Service...HyderabadDolls
 
+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...
+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...
+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...Health
 
Vadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book now
Vadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book nowVadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book now
Vadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book nowgargpaaro
 
7. Epi of Chronic respiratory diseases.ppt
7. Epi of Chronic respiratory diseases.ppt7. Epi of Chronic respiratory diseases.ppt
7. Epi of Chronic respiratory diseases.pptibrahimabdi22
 
Statistics notes ,it includes mean to index numbers
Statistics notes ,it includes mean to index numbersStatistics notes ,it includes mean to index numbers
Statistics notes ,it includes mean to index numberssuginr1
 
Reconciling Conflicting Data Curation Actions: Transparency Through Argument...
Reconciling Conflicting Data Curation Actions:  Transparency Through Argument...Reconciling Conflicting Data Curation Actions:  Transparency Through Argument...
Reconciling Conflicting Data Curation Actions: Transparency Through Argument...Bertram Ludäscher
 
Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...
Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...
Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...HyderabadDolls
 
Top profile Call Girls In Purnia [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Purnia [ 7014168258 ] Call Me For Genuine Models We...Top profile Call Girls In Purnia [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Purnia [ 7014168258 ] Call Me For Genuine Models We...nirzagarg
 
Discover Why Less is More in B2B Research
Discover Why Less is More in B2B ResearchDiscover Why Less is More in B2B Research
Discover Why Less is More in B2B Researchmichael115558
 
Top profile Call Girls In Indore [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Indore [ 7014168258 ] Call Me For Genuine Models We...Top profile Call Girls In Indore [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Indore [ 7014168258 ] Call Me For Genuine Models We...gajnagarg
 

Kürzlich hochgeladen (20)

SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
 
Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...
Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...
Jual obat aborsi Bandung ( 085657271886 ) Cytote pil telat bulan penggugur ka...
 
Top profile Call Girls In bhavnagar [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In bhavnagar [ 7014168258 ] Call Me For Genuine Models...Top profile Call Girls In bhavnagar [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In bhavnagar [ 7014168258 ] Call Me For Genuine Models...
 
Nirala Nagar / Cheap Call Girls In Lucknow Phone No 9548273370 Elite Escort S...
Nirala Nagar / Cheap Call Girls In Lucknow Phone No 9548273370 Elite Escort S...Nirala Nagar / Cheap Call Girls In Lucknow Phone No 9548273370 Elite Escort S...
Nirala Nagar / Cheap Call Girls In Lucknow Phone No 9548273370 Elite Escort S...
 
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
 
Abortion pills in Jeddah | +966572737505 | Get Cytotec
Abortion pills in Jeddah | +966572737505 | Get CytotecAbortion pills in Jeddah | +966572737505 | Get Cytotec
Abortion pills in Jeddah | +966572737505 | Get Cytotec
 
Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...
Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...
Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...
 
Computer science Sql cheat sheet.pdf.pdf
Computer science Sql cheat sheet.pdf.pdfComputer science Sql cheat sheet.pdf.pdf
Computer science Sql cheat sheet.pdf.pdf
 
Sonagachi * best call girls in Kolkata | ₹,9500 Pay Cash 8005736733 Free Home...
Sonagachi * best call girls in Kolkata | ₹,9500 Pay Cash 8005736733 Free Home...Sonagachi * best call girls in Kolkata | ₹,9500 Pay Cash 8005736733 Free Home...
Sonagachi * best call girls in Kolkata | ₹,9500 Pay Cash 8005736733 Free Home...
 
Top profile Call Girls In Begusarai [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In Begusarai [ 7014168258 ] Call Me For Genuine Models...Top profile Call Girls In Begusarai [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In Begusarai [ 7014168258 ] Call Me For Genuine Models...
 
Jodhpur Park | Call Girls in Kolkata Phone No 8005736733 Elite Escort Service...
Jodhpur Park | Call Girls in Kolkata Phone No 8005736733 Elite Escort Service...Jodhpur Park | Call Girls in Kolkata Phone No 8005736733 Elite Escort Service...
Jodhpur Park | Call Girls in Kolkata Phone No 8005736733 Elite Escort Service...
 
+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...
+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...
+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...
 
Vadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book now
Vadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book nowVadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book now
Vadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book now
 
7. Epi of Chronic respiratory diseases.ppt
7. Epi of Chronic respiratory diseases.ppt7. Epi of Chronic respiratory diseases.ppt
7. Epi of Chronic respiratory diseases.ppt
 
Statistics notes ,it includes mean to index numbers
Statistics notes ,it includes mean to index numbersStatistics notes ,it includes mean to index numbers
Statistics notes ,it includes mean to index numbers
 
Reconciling Conflicting Data Curation Actions: Transparency Through Argument...
Reconciling Conflicting Data Curation Actions:  Transparency Through Argument...Reconciling Conflicting Data Curation Actions:  Transparency Through Argument...
Reconciling Conflicting Data Curation Actions: Transparency Through Argument...
 
Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...
Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...
Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...
 
Top profile Call Girls In Purnia [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Purnia [ 7014168258 ] Call Me For Genuine Models We...Top profile Call Girls In Purnia [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Purnia [ 7014168258 ] Call Me For Genuine Models We...
 
Discover Why Less is More in B2B Research
Discover Why Less is More in B2B ResearchDiscover Why Less is More in B2B Research
Discover Why Less is More in B2B Research
 
Top profile Call Girls In Indore [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Indore [ 7014168258 ] Call Me For Genuine Models We...Top profile Call Girls In Indore [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Indore [ 7014168258 ] Call Me For Genuine Models We...
 

Current Status of Healthcare Analytics

  • 1. John Ward, Alain Feussi, James Young BIS 656 6/18/2014
  • 2. This paper defines and summarizes the huge challenge ahead of North American healthcare providers by illuminating current and future trends of medical business intelligence (BI), ramifications of EMR, the pros and cons of BI and analytics, the myriad ethical and privacy issues of big data’s role, and lastly provide an industry overview of BI and analytics solutions specific to healthcare. Overview
  • 3.  Electronic Medical Records (EMR) Mandate  Present Day Healthcare BI  Need for Healthcare “Big Data”  Healthcare Analytics Pros & Cons  Healthcare BI Solutions: Industry Overview  Vendor Analysis – Key Terms  SaaS Advantages  On-Premise Solution  Big Four Vendors  Key Niche Vendors  Conclusion Content
  • 4. Current Status of EMR Mandate  Healthcare providers and the American Recovery and Reinvestment Act of 2009  Deploy an EMR solution or face penalties starting in 2015  Must prove “meaningful use”  Using a certified EMR  Improved health quality and safety  Improved health delivery efficacy  Reduced disparities in healthcare  Improved interaction with patients and families  Advancement in the coordination of care
  • 5. Current Status of EMR Mandate Healthcare providers and the American Recovery and Reinvestment Act of 2009 (continued)  Compliance  49% of small healthcare systems (< 2 FTE physicians) compliant  83% of large healthcare systems (> 5 FTE physicians) compliant  Cost to deploy EMR significant to small providers
  • 6. Present Day Healthcare BI 80% of medical data is unstructured and clinically relevant Healthcare lags other industries in adoption of BI Some healthcare organizations with BI making decisions on comprehensive information Improves patient and financial outcomes Healthcare providers looking at ERP systems with BI Healthcare ERP/BI solution are becoming more robust
  • 7. Present Day Healthcare BI  Healthcare providers Wish List Enterprise Healthcare Business Intelligence Predictive Analytics Accountable Care Predictive Analytics Healthcare Data Integration Data Warehousing Population Being Able to Visualize Data
  • 8. Need for Healthcare “Big Data” Larger scale benefits Advances in predicting influenza outbreaks and strain Clinical responses based on “Big Data” National BI on latest treatments and results Healthcare cost reduction on National level Current information on clinical trials and results Healthcare BI has moved from a “nice to have” to a “must have”!
  • 9. Healthcare Analytics & Big Data Pros & Cons Ethical Considerations Life Extension & Quality of Life Potential Misuse Personal Privacy vs. Societal Benefit
  • 10. Healthcare Analytics & Big Data Pros & Cons Analytics ROI Reduction of Fraud & Claim Abuse BetterTreatments=FewerMalpracticeClaims Threat of Loss of Insurance Coverage?
  • 11. Healthcare Analytics & Big Data Pros & Cons Analytics – The Dark Side Potential Withholding of Treatments Demographic Profiling Is Anything Truly Private?
  • 12. Healthcare Analytics & Big Data Pros & Cons Ethical Conclusions OpportunityforMisuse,ButNotRealized Cost Savings – For Patients or Doctors? Ethical & Legal Issues Unresolved
  • 13. Healthcare BI Solutions: Industry Overview Criteria to consider when selecting a BI solution  Technology model  TCO  Ease of use/learning  Market Share /Key client  Complexity/capabilities  Cost Reduction  Health Improvement through proactive Care  Company Size
  • 14. Definition of Keys Terms for Understanding the Vendor Table  SaaS: Software As A Service: a model of software deployment where an application is hosted as a service provided to customers over the Internet  SaaS reduces the customer’s need for software maintenance, operation, and support  The traditional model still accounts for most of the software acquisition, but the SaaS is changing the dynamic very rapidly.
  • 15. SaaS Advantages No software licensing costs No new infrastructure requirements Low Cost of services Vendors take care of the data security
  • 16. On-Premise Solution Brick-and-mortar method Company has all the technology deployed on its premises All hardware and software on premise
  • 17. On-Premise Advantages  Control over all systems and data,  Corporate data is stored and handled internally  Dedicated IT staff for maintenance/support  Initial investment is high but pays off over time Note: Both technology models have disadvantages , for example data security and confidentiality for SaaS and Cost for On-premise solution
  • 18. The Big Four Vendors SAP Oracle IBM Microsoft Name of the product SAP BusinessObjects Edge BI for Healthcare Industries Oracle Business Intelligence Publisher IBM Cognos and SPSS MicroSoft HealthVault Technology model SaaS, On- Premise Saas, On- premise Saas, On- premise Saas , On- premise TCO Limited to monthly fees if SaaS chosen Depend on the technology model, but SaaS is cheaper Depend on the technology model, but SaaS is cheaper Depend on the technology model, but SaaS is cheaper Ease of use/learning Initial Setup is complex, but Users training is simple Training and ease of use is relatively equal to SAP Easy to use and great material for training Easy to use and great material for training Market Share /Key client Welch Allyn(US), Kindred Healthcare (US) Novation Inc. (US) Trillium Health Centre, Martin’s Point, VITAS, The Neighborhood Health Plan of Rhode Island Bancroft, Helse Vest, Texas Children’s Hospital Complexity/capabilities Great capabilities in Trend Analysis Leader in terms of implementation time, Get quicker configuration diagnostics, Oracle BI pillar partner and recognized leader in the implementation Implementation is simple and IBM has reliable training materials. Cognosis is helping 1000s of healthcare organizations create a more patient-centric, value-based, Optimize your EMR with an infrastructure that is reliable, cost- effective, and flexible today and the future
  • 19. The Big Four Vendors (Cont.) Cost Reduction Cost effective according to customer testimonials on Sap.com Similar benefit with SAP Tangible benefits as well as intangibles benefits as described above Tangible benefits as well as intangibles benefits as described above Health Improvement through proactive Care EMR feature integrated to allow such proactive targeting EMR feature integrated to allow such proactive targeting EMR feature integrated to allow such proactive targeting EMR feature integrated to allow such proactive targeting Company Size Perfect for Midsize Companies Medium and Large companies HealthCare Organization of all sizes Medium and Large companies
  • 20.  1-ARCPLAN Sample Customers: HCA, OTTOBUCK, SCRIPPS…  2-TARGIT Sample Customers: Animus, Mediterraneo, Hospital Corporation of America, Children's Hospital  3-ACTUATE Sample Customers: Alta Med, Accordant, HCA, Children’s Hospital  4-JASPERSOFT Relay Health, HealthPort, Dynamic Healthcare, MediGroup. Ltd. Niche Players
  • 21. Conclusion  Small Healthcare providers stretched to meet ARRA EMR deadline  Many ethical and privacy issues are unresolved  Industry is still developing and maturing  Healthcare BI will be a ‘must have’ for healthcare providers to stay competitive and current  Significant medical benefits exist outside the individual healthcare provider