© 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt...

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© 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics

Transcript of © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt...

Page 1: © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics.

© 2014 Thrive HDS, Inc.

REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELSCurt Sellke - Vice President of Analytics

Page 2: © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics.

2© 2014 Thrive HDS, Inc.

IHIE BACKGROUND> Nation’s largest Health Information

Exchange (HIE)> Founded in February 2004> Based on the technology, knowledge,

and experience of the Regenstrief Institute

> Providing services to 96 hospitals (39 health systems), 25,000 clinicians, and 4 payers

> Serving an area with a population of about 6.5 million people

Page 3: © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics.

3© 2014 Thrive HDS, Inc.

IHIE CDR DATA

IHIE operates one of the nation’s largest Clinical Data

Repositories (CDR)> 1 Network> 96 Hospitals> 25,000 Physicians> 500,000 Daily Data Transactions> 16,3000,000 Patients> 120,000,000 Radiology Images/Reports> 6,600,000,000 Pieces of Clinical Data

(15TB)

Page 4: © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics.

© 2014 Thrive HDS, Inc.

Patient

Physician

Physician

Physician

Hospitals

Payers

Physician Offices

Labs / Imaging Centers

Public Health

Rx

Health Information Exchange

Data Repository

Network Applications

Data Governance

Value Added ServicesHealth Data Sources

IHIE SERVICES

Clinical Data Repository (INPC™)- MPI & Record Locator Service- Longitudinal Patient View

Clinical Results Delivery (D4D®)- Web-based portal or EMR delivery- No Cost to Physicians

ACO & Analytic Services- ADT Alerts- Predictive Analytics

Public Health Integration and Automation- Bio-surveillance- Communicable Disease Reporting- Immunizations

Federal Government Services- SSA Disability Determination- VA’s VLER Program

Meaningful Use Supporting Services- Transitions of Care- Public Health Integration

Page 5: © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics.

© 2014 Thrive HDS, Inc.

OUTSIDE INDIANA

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Page 6: © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics.

6© 2014 Thrive HDS, Inc.

WHY PREDICTIVE ANALYTICS?

> Lots of Rich, Disparate Data is needed to “Power” Predictive Models; IHIE is a fantastic source for this data

> Strong Market Need, Limited Experience and Expertise especially developing Predictive Models that use Clinical Data versus Claims Data

> Huge Opportunities and Value if you can be Predictive/Interventional versus Retrospective/Reactive

> We believe it is the “Right” next Step in the Evolution of a Successful HIE (HIE 2.0)

Page 7: © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics.

7© 2014 Thrive HDS, Inc.

DO YOU KNOW WHERE YOUR PATIENT IS?> As a member of a CMS chartered ACO, a

patient can seek care anywhere in or outside the ACO. They are not bound to a single network or provider.

> This makes knowing where your patient is or has been even more challenging especially when you have clinical & financial responsibility for that patient!

Page 8: © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics.

8© 2014 Thrive HDS, Inc.

ADT ALERTS

Enables Providers to:> Track where and when care has been delivered,

especially if outside of the patient’s attributed care network

• Information comes from HL7 ADT (Admission/Discharge/Transfer) Messages

> Examine the patient’s chief complaint

> Process the preliminary diagnosis

> Optimize care site transitions

> Identify providers in the continuum of care

Page 9: © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics.

9© 2014 Thrive HDS, Inc.

ADT ALERTS ARCHITECTURE TODAY

Client

IHIE CDR

INPC94 HospitalsConnected to

INPC

HL7 MessagesFrom Hospitals

List of PatientsIncluding Demographics

Needed for Patient Matching

ADT Alert DataFor Any Patient with ED/

Inpatient Registration over Past 24 Hrs

IHIE Current ADT Alerts Service

Page 10: © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics.

10© 2014 Thrive HDS, Inc.

ADT ALERTS CASE STUDY

ADT Alerts to Reduce ED Visits

> Results of a 6 month pilot with a managed health care plan in Indiana:

• 53% reduction in non-urgent ED visits

• 68% increase in Primary Care office visits

• Nearly $4 million saved

Page 11: © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics.

11© 2014 Thrive HDS, Inc.

MAKING ADT ALERTS MORE PREDICTIVE, MORE VALUABLE

> We are working with Predixion Software to develop a model to predict the probability of a preventable readmission occurring within 30 days of discharge

> We are “wiring” this predictive model into our ADT Alerts system; any time an inpatient admission happens, we will score the probability of that patient being readmitted within 30 days of discharge

Page 12: © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics.

12© 2014 Thrive HDS, Inc.

FUTURE ADT ALERTS ARCHITECTURE (Q2 OF 2014)

Client

IHIE CDR

INPC94 HospitalsConnected to

INPC

HL7 MessagesFrom Hospitals

List of PatientsIncluding Demographics

Needed for Patient Matching

ADT Alert Data For Any Patient with ED/Inpatient Registration over Past 24 Hrs

PLUSPredictive Score, Risk Stratification,

3 – 5 Risk Influencers

IHIE ADT Alerts Service plus Predictive Readmissions Scoring

Predixion Software -Predictive Analytics Platform

Clinical Data from CDRFor Predictive

Readmissions Scoring

Predictive Score,Risk Stratification

3 – 5 Risk Influencers

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13© 2014 Thrive HDS, Inc.

OTHER POTENTIAL USE CASESOUTSIDE ACOS> ADT Alert on Admission and/or Discharge to the

Patient’s PCP to enable more effective transitions of care

> Medicare is financially supporting “Transitional Care Management Services” by encouraging PCPs to see Patients within 7 to 14 days of discharge and providing new CPT Codes (99495 and 99496) to provide payment for these services

> ADT Alerts coupled with a Prediction of the potential for Readmission within 30 days can help PCPs and their staff focus resources on those patients that have the highest probability for readmission

Page 14: © 2014 Thrive HDS, Inc. REDUCING PREVENTABLE READMISSIONS THROUGH PREDICTIVE ANALYTIC MODELS Curt Sellke - Vice President of Analytics.

14© 2014 Thrive HDS, Inc.

THANK YOU

Curt SellkeVice President, Analytics

> [email protected]> Office: 317-735-4084> Twitter: @CurtSellke