Doug Fridsma, MD PhD President & CEO, AMIA
Interoperability Doug Fridsma, MD PhD President & CEO, AMIA - - PowerPoint PPT Presentation
Interoperability Doug Fridsma, MD PhD President & CEO, AMIA - - PowerPoint PPT Presentation
Interoperability Doug Fridsma, MD PhD President & CEO, AMIA Getting to Interoperability To get to interoperability (or to avoid information blocking) we need a common understanding of the problem Cant solve the problem all at
Getting to Interoperability
2 AMIA PowerPoint Template
- To get to interoperability (or to avoid information blocking) we need a
common understanding of the problem
- Can’t solve the problem all at once
- Need to break it into pieces that allow different groups to work on different parts of the
problem
- How we frame the problem will affect the solution(s) we get
- Ultra-large scale system
- Definition of Interoperability
It’s not architecture, it’s city planning
Ultra-Large-Scale Systems
The Software Challenge
- f the Future
It’s not architecture. It’s city planning
Interoperability (IEEE)
- Ability of two or more systems to exchange information
- Ability of those systems to use the information that has been exchanged
Interoperability only makes sense in the context of what you want to DO
Transitions of Care Care summary Clinical Trial Eligibility Public Health Reporting Public Health Reporting
“Silos of Interoperability”
- Define Interoperability in terms of
the ”thing you want to do”
- Without coordination across
there is no shared “building blocks”
- This creates confusion
- Quality measures
- Data Registries
- Clinical Decision Support
- EHRs
- Non-health data
- etc
You need a framework to pull together the different use cases
8
“You can’t build a skyscraper by nailing 10,000 dog houses together”
Patient Practice Population Public
Think HORIZONTALLY rather than vertically
Informatics, standards, testing, business drivers, governance
Big Data and population health Electronic Health Record and Quality Consumer empowerment Clinical and Translational Research
Information Blocking and the Socio-Technical Stack
Legal Responsibilities (e.g. HIPAA, 42 CFR Part 2)
Public Policy
Contractual Decisions (e.g. Epic App Orchard)
Intellectual Property
Market-based Motivations (e.g. ACOs)
Business Drivers
When to apply the data (e.g. lab test results)
Workflow (dynamic)
How to apply the data (e.g. Admission v. Discharge Summary)
Context (static)
Purpose-specific APIs and services that leverage the other four layers
Services
Terminologies, Structured data, coded (e.g. ICD-10, SNOMED)
Semantic
Message formatting (e.g. CCDA v2)
Syntactic
How the message move from A to B
Transport
How we ensure that messages are secure and private
Security
Traditional technology stack Implementation Policy and Business drivers API
Information Blocking and the Socio-Technical Stack
Legal Responsibilities (e.g. HIPAA, 42 CFR Part 2)
Public Policy
Contractual Decisions (e.g. Epic App Orchard)
Intellectual Property
Market-based Motivations (e.g. ACOs)
Business Drivers
When to apply the data (e.g. lab test results)
Workflow (dynamic)
How to apply the data (e.g. Admission v. Discharge Summary)
Context (static)
Purpose-specific APIs and services that leverage the other four layers
Services
Terminologies, Structured data, coded (e.g. ICD-10, SNOMED)
Semantic
Message formatting (e.g. CCDA v2)
Syntactic
How the message move from A to B
Transport
How we ensure that messages are secure and private
Security
Traditional technology stack Implementation Policy and Business drivers API
Information Blocking and the Socio-Technical Stack
Legal Responsibilities (e.g. HIPAA, 42 CFR Part 2)
Public Policy
Contractual Decisions (e.g. Epic App Orchard)
Intellectual Property
Market-based Motivations (e.g. ACOs)
Business Drivers
When to apply the data (e.g. lab test results)
Workflow (dynamic)
How to apply the data (e.g. Admission v. Discharge Summary)
Context (static)
Purpose-specific APIs and services that leverage the other four layers
Services
Terminologies, Structured data, coded (e.g. ICD-10, SNOMED)
Semantic
Message formatting (e.g. CCDA v2)
Syntactic
How the message move from A to B
Transport
How we ensure that messages are secure and private
Security
Traditional technology stack Implementation Policy and Business drivers API
Information Blocking and the Socio-Technical Stack
Legal Responsibilities (e.g. HIPAA, 42 CFR Part 2)
Public Policy
Contractual Decisions (e.g. Epic App Orchard)
Intellectual Property
Market-based Motivations (e.g. ACOs)
Business Drivers
When to apply the data (e.g. lab test results)
Workflow (dynamic)
How to apply the data (e.g. Admission v. Discharge Summary)
Context (static)
Purpose-specific APIs and services that leverage the other four layers
Services
Terminologies, Structured data, coded (e.g. ICD-10, SNOMED)
Semantic
Message formatting (e.g. CCDA v2)
Syntactic
How the message move from A to B
Transport
How we ensure that messages are secure and private
Security
Traditional technology stack Implementation Policy and Business drivers API
Information Blocking and the Socio- Technical Stack
Legal Responsibilities (e.g. HIPAA, 42 CFR Part 2)
Public Policy
Contractual Decisions (e.g. Epic App Orchard)
Intellectual Property
Market-based Motivations (e.g. ACOs)
Business Drivers
When to apply the data (e.g. lab test results)
Workflow (dynamic)
How to apply the data (e.g. Admission v. Discharge Summary)
Context (static)
Purpose-specific APIs and services that leverage the other four layers
Services
Terminologies, Structured data, coded (e.g. ICD-10, SNOMED)
Semantic
Message formatting (e.g. CCDA v2)
Syntactic
How the message move from A to B
Transport
How we ensure that messages are secure and private
Security
Traditional technology stack Implementation Policy and Business drivers API
Transitions of Care Care summary Clinical Trial Eligibility Public Health Reporting Public Health Reporting
SO HOW DO WE GET THERE?
AMIA PowerPoint Template 15
THE PATH OF LEAST REGRET: THREE THINGS WE NEED
BUILD DOCUMENTS FROM DATA, NOT THE OTHER WAY AROUND
What is needed: A common format for granular data
- Common data formats for
- Text data
- Categorical data
- Numerical data
- More…
- This is the beginning of the “horizontal coordination” across different use
cases
- Quality Measures
- Clinical Decision Support
- Registries
FULL EXPORT OF THE PATIENT RECORD (AND NARRATIVE)
Restore the importance of the narrative and unstructured text
Patients are more than a collection of discrete data
- Disease vs. illness
- The importance of the narrative to understanding patients
The unstructured data is where discoveries are made
- Precision medicine
Restore the balance of power for access to data
- Empower patients, researchers, public health officers
TEST BOTH SIDES OF EXCHANGE
Postel’s principle
When you send, conform to the standard
- Pick a set of options and make sure it conforms to a valid instance of the standard
When you receive, accept ANY version that conforms to the standard
- Any variation that is valid
Create the conditions of interoperability when you create the standard, rather than when you implement it
AMIA @AMIAinformatics Official Group of AMIA AMIA informatics www.amia.org #WhyInformatics
Doug Fridsma MD PhD
23
THANK YOU!
Fridsma@amia.org
AMIA @AMIAinformatics Official Group of AMIA AMIA informatics www.amia.org #WhyInformatics AMIA is the professional home for more than 5,400 informatics professionals, representing frontline clinicians, researchers, public health experts and educators who bring meaning to data, manage information and generate new knowledge across the research and healthcare enterprise.
24 AMIA 2017 | amia.org