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BIG DATA TECHNOLOGIES TO SUPPORT POPULATION HEALTH Charles Boicey, MS, RN-BC, CPHIMS Enterprise Analytics Architect Stony Brook Medicine Stony Brook University
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BIG DATA TECHNOLOGIES TO SUPPORT POPULATION HEALTH Charles Boicey, MS, RN-BC, CPHIMS Enterprise Analytics Architect Stony Brook Medicine Stony Brook University.

Dec 26, 2015

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Page 1: BIG DATA TECHNOLOGIES TO SUPPORT POPULATION HEALTH Charles Boicey, MS, RN-BC, CPHIMS Enterprise Analytics Architect Stony Brook Medicine Stony Brook University.

BIG DATA TECHNOLOGIES TO SUPPORT POPULATION HEALTHCharles Boicey, MS, RN-BC, CPHIMS

Enterprise Analytics Architect

Stony Brook Medicine

Stony Brook University

Page 2: BIG DATA TECHNOLOGIES TO SUPPORT POPULATION HEALTH Charles Boicey, MS, RN-BC, CPHIMS Enterprise Analytics Architect Stony Brook Medicine Stony Brook University.

DSRIP

• 8 billion dollar grant (Medicaid waiver) from CMS to NY State• 25% reduction over five years in avoidable hospitalizations and ER visits in the Medicaid and uninsured population

• Collaborative effort to implement innovative projects focused on• System transformation• Clinical improvement• Population health improvement

Page 3: BIG DATA TECHNOLOGIES TO SUPPORT POPULATION HEALTH Charles Boicey, MS, RN-BC, CPHIMS Enterprise Analytics Architect Stony Brook Medicine Stony Brook University.

Uninsured + Medicaid Members

Medicaid Members Data from DSRIP 2012; Uninsured data from ACS 2012 5 Year Estimate

n = 387,290

Geographic Concentrations in Western, Central and Eastern Suffolk

Page 4: BIG DATA TECHNOLOGIES TO SUPPORT POPULATION HEALTH Charles Boicey, MS, RN-BC, CPHIMS Enterprise Analytics Architect Stony Brook Medicine Stony Brook University.

5 YEAR GOALS

•Create integrated Suffolk County care delivery system for 387K lives anchored by safety net providers

•Engage partners across the care delivery spectrum to create a countywide network of care

•After five years, transition this network to an ACO which will contract with insurance providers on an at risk basis

Page 5: BIG DATA TECHNOLOGIES TO SUPPORT POPULATION HEALTH Charles Boicey, MS, RN-BC, CPHIMS Enterprise Analytics Architect Stony Brook Medicine Stony Brook University.

Suffolk PPS Organizational Structurefor exchange of clinical data and alerts for patient visits through e-HNLI

Stony Brook Medicine

Suffolk PPS HIE(SB Clinical

Network IPA, LLC)

Health Systems

Hospitals

Community Health

Centers

Behavioral Healthcare Providers

Skilled Nursing Facilities CHHA’s/

LTHHC

Physician Groups

Health Homes

Community-Based

AgenciesPharmacies

Those not part of the Stony Brook Medicine Network

Other Healthcare Providers

Develop-mental Disability Providers

Suffolk county RHIO

(e-HNLI)

Jim Murry, Charles Boicey

Page 6: BIG DATA TECHNOLOGIES TO SUPPORT POPULATION HEALTH Charles Boicey, MS, RN-BC, CPHIMS Enterprise Analytics Architect Stony Brook Medicine Stony Brook University.

Suffolk Care Colaborative IT Architecture

Suffolk County Providers

Suffolk county PPS Master Patient Index (MPI)

Suffolk county PPS Health Information Exchange (HIE)

E-HNLI RHIO (HIE)

Suffolk County PPS Patient Portal

Stony Brook Medicine

Suffolk County Big Data Platform

Suffolk County PPS Population Management Tools

EMRs or clinical Information SystemEMRs or clinical Information System

eForms Patient Wellness

Alerts Mobile Monitoring

Patient Education

Clinical Records

Collaboration

Registries Care Plans Workflow Med Adherence Mobility

Predictive Analytics

Event Engine

Structured Data Financial Data Legacy Data

Machine Learning NLP Unstructured Data

Wearables Data

Social Data

Anomaly Detection

Rules Device Data HL7/CCD Open DataClin

ical

Dat

a fo

r Pati

ent C

are

Page 7: BIG DATA TECHNOLOGIES TO SUPPORT POPULATION HEALTH Charles Boicey, MS, RN-BC, CPHIMS Enterprise Analytics Architect Stony Brook Medicine Stony Brook University.

RHIO

Interface Engine

Hl7, CCD, CCDA, FHIR, XML, JSON

PayorsPopulation ManagementPlatform

DSRIPProvider SystemsN>200

Consent Query

SBMHIE

SBMEMRs

nonSBMEMRsClinical Claims

Clinical

Claims

Clinical

Clinical

Clinical

View

Clinical

View

Page 8: BIG DATA TECHNOLOGIES TO SUPPORT POPULATION HEALTH Charles Boicey, MS, RN-BC, CPHIMS Enterprise Analytics Architect Stony Brook Medicine Stony Brook University.
Page 9: BIG DATA TECHNOLOGIES TO SUPPORT POPULATION HEALTH Charles Boicey, MS, RN-BC, CPHIMS Enterprise Analytics Architect Stony Brook Medicine Stony Brook University.

Contact Information

Charles Boicey

[email protected]

(631) 444-3791

@N2InformaticsRN