Health Sciences South Carolina

Smile CDR

2017-12-06

FHIR Apps Roundtable 2017

Health Sciences South Carolina:

A Statewide Learning Health System

● Focus: University—Health System

collaborations to advance health

● Approach: Technology

Empowered Communities of

Practice

● Programs:

○ Integrated research data repository

○ Surgical quality collaborative

○ Emergency department health

information exchange

○ e-IRB and multi-site IRB relianceCurrent data contributors include MUSC, Palmetto Health System and

Spartanburg Health systems. Greenville Health System data is available but

the health system is no longer an active member of HSSC.

Collection AccessStorage

Data Scope:

Demographics

Diagnoses

Procedures

Medication orders

Medication admin

Labs

Data Feed

Consolidation

& Mapping

Operational

Data Store

Clinical Data

Warehouse

(CDW)

Data Marts

&

Registries

RE

SE

AR

CH

CL

INIC

AL

Anonymized

i2b2

Cohort Analysis

MPI

Healthcare Institutions

Spartanburg Regional Health System

Palmetto Health

Medical University South Carolina

Data Feed Types:

HL7, 837A, CSV

Current state: Single Integrated Database

Information-at-Rest to Information-in-Motion

4

Information platform for collaboration

• Federated provider databases

• Multiple linked data models

• API for access by EHRs and other apps

• Research master ID integrated with institutional data

• Information enrichment subscriptions(deaths, claims, environmental data, ADT events)

• Integrated open source analytics (OMOP/OHDSI)

Current Future

Information resource for

research• Single central database

• Proprietary data model (HL7 v3RIM

derived)

• Periodic database releases

• Governance based access data by

honest brokers

• Limited access for clinical applications

(no ”API”)

• Export for analytics to separate platform

Smile CDR

● Complete FHIR-based

Clinical Data Repository

Solution

● Powered by HAPI FHIR

● Launched as a commercial

offering in 2016

The Problem:

Research Data at the Hospital Level

● Clinical systems are typically

integrated in point-to-point

connections

● Research data is stored in

islands

● Limited connectivity between

these domains

● This architecture scales badly

across multiple organizations

The Problem:

Research Data at the State Level

Research Architecture for the Future

Goal: Preserve Independence of Multi-Institutional

Data and the Ability to Link Across Institutions

Operations requires institutions control

their own data and to be able to add

proprietary data and information when

necessary for business operations.

Research requires de duplication and

integration of records across institutions

Goal: Ability to extend data into localized forms

Research collaboration requires the ability to maintain data in multiple clinical data

models without excessive maintenance costs. Smile CDR support the use of FHIR

subscriptions between data stores to maintain data multiple formats

Smile

CDR

PCORnet

CDR

OMOP

CDR

ACTS

CDR

Member

Clinical

Data

• OMOP CDM is a Common Data

Model + Standardized Vocabulary OHDSI is a multi-stakeholder,

interdisciplinary collaborative

OHDSI supports the OMOP

CDM and set of open source

analytics tools.

OHDSI runs an ongoing set of

collaborations focused on

observational studies

evaluating pharmacotherapies

and predictive analytics

models.

What is OHDSI?

Open Source Analytics Using OHDSI/OMOP

Goal: Platform for Cross-Enterprise Data Integration

for Care, Collaboration, and ResearchCondition List app provides longitudinal view of conditions across participating

organizations

Goal: Enrich data with subscriptions

ED Notification App

provides cross-enterprise

notification when some

patients present at any

participating Emergency

Room

Goal: Enrich data with subscriptions

Information subscriptions enhance value of local

CDRs to members

HSSC

Central CDR

And eMPI

Claims

data

Mortality

Geolinked

public

Environ-

mentalETL

and

SFTP

FHIR

sub-

scriptions

Future Plans: Environmental Data Subscriptions

Average pollutant levels around the patient’s home

Future Plans: Claims and Social Determinants Data

Subscriptions

Future Plans: Expanded Scope

● Current Scope:○ Patients, Encounters, Conditions, Vital Signs, Insurance

○ 2 Hospitals

● Under Development:○ Laboratory Results

○ Medication Orders and Administration

○ Additional Hospital

Discoveries

● FHIR Subscription is our new best friend: It powers all of

our interactions

● Everything on FHIR makes a great architecture: FHIR

interfaces on OMOP and EMPI allow subscriptions to

replicate things easily

Thank You

Kenneth Deans

James Agnew

kdeans@mailbox.sc.edu

james@simpatico.ai