Conference Differential Medecine Dataiku

Post on 13-Apr-2017

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Transcript of Conference Differential Medecine Dataiku

The US Healthcare IndustryOne dataset a day keeps the doctor away

What is wrong with the US Healthcare Industry

From the Commonwealth Fund « Mirror, Mirror on the Wall »http://www.commonwealthfund.org/publications/fund-reports/2014/jun/mirror-mirror

An American ParadoxThe best hospitals in the world, the worst service in the world

An American ParadoxDestroying Miami each year

An American ParadoxMaking people fatter and fatter

A Paradigm Shift

Towards a Value-Based Care SystemFrom FFS

Towards a Value-Based Care SystemTo VBC

« Value is the only goal thatunites the interests of all the parties in the healthcaresystem »

Towards a Value-Based Care SystemFrom Volume to Value to improve the patient care and reduce costs

Fee For Service Value-Based Care

Rewards Rewarding Volumes Rewarding patient final Care

Incentives Keeping patients at the hospital as long as possible

Keeping the patients away from hospitals

KPI Occupancy Rate 30days readmission Rate

Towards a Value-Based Care SystemAnalytics to create an unified data flow system

Social media/Webdata

Machine2machine data

Human-generatedDataBiometric Data

Transactional Data

2,314 exabytesby 2020 !

- Administrative (HR, scheduling, performance management, etc.)

- Clinical systems (data from patients getting treated, actions taken by providers)

- Subscriber info (if an HMO or healthplan)

- DNA sequencing- Health Data- « Social Feelings » data- Claim processing- …

What could possibly go wrong?

What could possibly go wrong?High IT fragmentation

What could possibly go wrong?Interoperability out of reach?

What could possibly go wrong?To sum it up

37%

17%

15%

Having  unstandardized  data  in  silos

Lack  of  technology  infrastructure

Data  &  Analytics  Skills  gap

Main  barriers to  implement data  and  analytics toolsin  Healthcare

http://www.kpmg.com/us/en/issuesandinsights/articlespublications/press-releases/pages/only-10-percent-of-healthcare-organizations-using-data-analytics-to-fullest-potential-kpmg-survey-finds.aspx

DSS: just what the doctor ordered

What we can doDSS: Just what the doctor ordered

ETL & Claims ProcessingCombining multiple EHR,

Database Cleaning & Collaborative Tool

Delivering Better CareEnhancing and enriching

health outcomes

Maximizing Service ValueEnabling for cost

containment

Developing HealthKnowledge and Awarenessfrom the patient level to the

population level

What we can doETL & Claim Processing

• Human Capacities Upgrade. DSS offers a smooth learning curve for beginnersand ensures increasedproductivity. Don’t hire new resources, they are already in your teams and DSS is going to empower them

• ETL Operations. DSS is a collaborative tool that allows for interoperability from any sources. It also aggegatesdata from disparate internal and external systems.

What we can doDelivering Better Care

• Disease Management. DSS enablesdata agregation from multiple sources to have an unified view of the patient.

• Predicting Adverse Events. DSS enablesto correlate disease analysis to prevent patient harms or ineffective treatments

• Expanding Precision Medicine. DSS can linkmedication data to genomic information, to fine-tune deliveredtreatments.

What we can doMaximizing Service Value

• Fraud Detection. DSS can detect fraudulent activity

• Physician profiling. DSS enablesto isolate hazardous patterns

• Staffing Optimization. DSS forecasts patient volumes and allow for staffing needsprediction.

• No Show Rates. DSS can highlight potential no-showersand target them more efficiently.

• Risk Forecasting. DSS lets payers forecast who is about to churn

• Provider Benchmarking . DSS developsbenchmarks to lower practice variation and improve clinical outcomes

What we can doDeveloping Health Knowledge and Awareness

• Strenghtening Consumer Engagement. DSS can highlight high risk patients to support more proa active management. It also helps engaged patient.

• Population Management. DSS can give a 360° population view in real-time.

Wanna know more?

To learn more…Browsing our contents

A Data AnalyticsMethodology in

Healthcare:How to curb no-

show issues

Wrap-UpWhat you should keep in mind

• The healthcare market mainly consists of healthcare payers and providers that have various interests.

• A low-efficiency healthcare system obliged the US administration to improve it

• Going from FSS to VBC: a paradigm shift in the healthcare industry

• This reform needsdata and data interoperability more than ever

• Alas, little interoperability and low IT skills don’t help

• Dataiku’s DSS is then a kick-ass tool to do the basic work: clean, gather, process

• But it can also help healthcare providers and payers to reduce costs and improve patient final care

Take Care