Health Informatics on FHIR

How HL7’s New API is Transforming Healthcare

Mark L Braunstein, MDProfessor of the Practice

School of Interactive ComputingGeorgia Institute of Technology

Larry Weed: Emory 1971

“The new knowledge we need now is how to use knowledge and this [the medical record] is the physical representation of doing it or not doing it.”

IOM, 2001

safe, effective, patient-centered, timely, efficient, equitable

http://www.ihi.org/resources/Pages/ImprovementStories/AcrosstheChasmSixAimsforChangingtheHealthCareSystem.aspx

LearningHealth System

Necessary Informatics Substrate

EMR Adoption Analytics Access to POC OpenInteroperability

Adoption: HITECH

ONC

FHIR: A Lingua Franca for Healthcare

Common Data Model

“Universal” API

Substrate for a Universal App PlatformFHIR Inventor, Grahame Grieve

Open Interoperability: SMART on FHIR

https://apps.smarthealthit.org/

Within the Clinical Workflow

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EMR Vendor FHIR App Galleries

Medicare

“There are now over 1,500 developers with a Blue Button Sandbox Account—and many of you are here today. We have 18 Blue Button apps that are using our API in production.”

-- CMS Administration, Seema Verma, HIMSS ‘19

https://www.cms.gov/newsroom/press-releases/speech-remarks-administrator-seema-verma-2019-himss-conference

VA Project Lighthouse APIs

… support industry standards (e.g., Fast Healthcare Interoperability Resources [FHIR]) and provide access to healthcare data via an EHR-agnostic RESTful web services abstraction layer.

Mean platelet volume = 10.2 femtoliters

RIMIDI: Continuous, Coordinated Care

EHR Data

Patient Generated Data

Lucy Ide, Emory MD/PhD

A Better EHR: Juxly Timeline

Howard Follis, MDVanderbilt L

DeepAISE on FHIR

Decline ImprovementEmory AISE Score

Philips DRS Score: Higher predicts readmissionhttps://symposium2018.zerista.com/event/member/526122

Text messagingor the eICU application

Drag/Drop Automatic

V Lakshman, F Amrollahi, V S Koppisetty, S P Shashikumar,

A Sharma & S Nemati, Emory

Apple: Patient Controlled Health Record

Medisafe: Apple SMART App

Do It Yourself: 1UpHealth

CBL on FHIR

Choices produce either feedback or clinical data that becomes available in the simulated EHR.

Burn Case Study: Interactive Simulation

Burn Case Study: FHIR Apps

Use the clinical data that has been documented, in this case to calculate the Glasgow Coma Score.

“By identifying the FHIR standard to implement our policies, we are promoting scalable data sharing, not just an individual patient record from hospital to hospital but a model that supports the flow of information across the entire healthcare system. We encourage industry to align in this direction, because it is coming. Locking information into proprietary data models will soon be a thing of the past.”

-- CMS Administrator, Seema Verma

HIMSS ‘19

https://www.cms.gov/newsroom/press-releases/speech-remarks-administrator-seema-verma-2019-himss-conference

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