Interoperability Doug Fridsma, MD PhD President & CEO, AMIA - - PowerPoint PPT Presentation

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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


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Doug Fridsma, MD PhD President & CEO, AMIA

Interoperability

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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
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It’s not architecture, it’s city planning

Ultra-Large-Scale Systems

The Software Challenge

  • f the Future
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It’s not architecture. It’s city planning

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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

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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
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You need a framework to pull together the different use cases

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“You can’t build a skyscraper by nailing 10,000 dog houses together”

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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

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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

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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

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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

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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

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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

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SO HOW DO WE GET THERE?

AMIA PowerPoint Template 15

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THE PATH OF LEAST REGRET: THREE THINGS WE NEED

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BUILD DOCUMENTS FROM DATA, NOT THE OTHER WAY AROUND

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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
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FULL EXPORT OF THE PATIENT RECORD (AND NARRATIVE)

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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
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TEST BOTH SIDES OF EXCHANGE

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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

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AMIA @AMIAinformatics Official Group of AMIA AMIA informatics www.amia.org #WhyInformatics

Doug Fridsma MD PhD

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THANK YOU!

Fridsma@amia.org

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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