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Michael Waters, Ph.D. SHIELD Team Lead/OIR RWE Representative Office of In Vitro Diagnostics and Radiological Health (OIR) Center for Devices and Radiologic Health (CDRH) Food and Drug Administration (FDA) S ystemic H armonization and I nteroperability E nhancement for L ab D ata Lab Data Semantic Interoperability: Advancing Value-Based 21 st Century Cures SHIELD x - putting IVD data standards to work

Lab Data Semantic Interoperability: Advancing Value-Based 21 … · 2018-10-24 · Lab Data Semantic Interoperability: Advancing Value-Based 21st Century Cures SHIELD x - putting

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Page 1: Lab Data Semantic Interoperability: Advancing Value-Based 21 … · 2018-10-24 · Lab Data Semantic Interoperability: Advancing Value-Based 21st Century Cures SHIELD x - putting

Michael Waters, Ph.D.

SHIELD Team Lead/OIR RWE Representative

Office of In Vitro Diagnostics and Radiological Health (OIR)Center for Devices and Radiologic Health (CDRH)

Food and Drug Administration (FDA)

Systemic Harmonization and Interoperability Enhancement for Lab Data

Lab Data Semantic Interoperability: Advancing Value-Based 21st Century Cures

SHIELDx- putting IVD data standards to work

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SHIELD Mission: Accelerate lab data digitization; improve quality & interoperability of IVD data to:• Improve access to high-quality RWE for regulatory decisions, • reduce burdens to the healthcare ecosystem, • promote innovative 21st century solutions to public health challenges, • build NEST (diagnostic arm).

How? – SHIELD employs consensus processes to:• leverage existing lab data standards and infrastructure, • develop standards/tools to fill lab data interoperability gaps and • expedite ubiquitous adoption & implementation of SHIELD infrastructure.

SHIELD Stakeholders (>50 institutions engaged):FDA (CDRH, CDER, CBER), CDC, NIH, ONC, CMS, IVD Manufacturers, EHR Vendors, Laboratories, Standards Developers, PEW Charitable Trusts, NEST/MDIC, Academia

Systemic Harmonization and Interoperability Enhancement for Lab Data

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• A specific IVD…

• …‘asks’ a question of a specimen taken from a human body to…

• … get an ‘answer’ to that question.

Interoperable Coded MessageW/Standards: Quality in – Quality out.W/O Standards: Garbage in – Garbage out

This can all be represented with standardized semantic codes. (e.g., UDI, LOINC, SNOMED-CT, UCUM)

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TPLC – Prospective/Retrospective

Pre-Clinical Testing

Post-MarketPre-MarketApplication

Informed Clinical Decision Making

New HypothesesDevice Innovation

Clinical Studies(IDE)

ClaimsDatabases

LaboratoryTests

PharmacyData

PatientExperience

SocialMedia

Registries

Electronic Health

Records

HospitalVisits

HealthcareInformation

Design Conduct Analysis

Real-World Device UsePhysician and Patient

Experience

Analysis Selection Data Generation

Traditional Regulatory Pathway

Real-World Data/Evidence

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TPLC Data Requirements

Pre-Clinical Testing

Post-MarketPre-MarketApplication

Informed Clinical Decision Making

New HypothesesDevice Innovation

Clinical Studies(IDE)

ClaimsDatabases

LaboratoryTests

PharmacyData

PatientExperience

SocialMedia

Registries

Electronic Health

Records

HospitalVisits

HealthcareInformation

Design Conduct Analysis

Real-World Device UsePhysician and Patient

Experience

Analysis Selection Data Generation

Traditional Regulatory Pathway

Real-World Data/Evidence

‘Fit for Purpose’Data must be complete, consistent, accurate, and

contain all critical data elements needed to evaluate a medical device and its claims.

Benefit Risk

Relevant & Reliable

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TPLC – Prospective/Retrospective

Pre-Clinical Testing

Post-MarketPre-MarketApplication

Informed Clinical Decision Making

New HypothesesDevice Innovation

Clinical Studies(IDE)

ClaimsDatabases

LaboratoryTests

PharmacyData

PatientExperience

SocialMedia

Registries

Electronic Health

Records

HospitalVisits

HealthcareInformation

Design Conduct Analysis

Real-World Device UsePhysician and Patient

Experience

Analysis Selection Data Generation

Traditional Regulatory Pathway

Real-World Data/Evidence

Data must be understood to

be used

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TPLC – Prospective/Retrospective

Pre-Clinical Testing

Post-MarketPre-MarketApplication

Informed Clinical Decision Making

New HypothesesDevice Innovation

Clinical Studies(IDE)

ClaimsDatabases

LaboratoryTests

PharmacyData

PatientExperience

SocialMedia

Registries

Electronic Health

Records

HospitalVisits

e-HealthcareInformation

Design Conduct Analysis

Real-World Device UsePhysician and Patient

Experience

Analysis Selection Data Generation

Traditional Regulatory Pathway

Real-World Data/Evidence

Error! Data corrupt/ambiguous

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Standards Empower Lab Data Utility

Systemic Harmonization and Interoperability Enhancement for Lab Data

W/Standards: Quality in – Quality out.W/O Standards: Garbage in – Garbage out

SHIELD Stakeholders:FDA, CDC, NIH, ONC, CMS, VA, CAP, Industry, Labs, EHR Vendors, Standards Developers, Academia.

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Infectious Disease IVD LOINC Mapping Manual

Components*:• Background/ Appendix• Microscopic Examination• Cultures• Susceptibility Testing• Resistance Testing• Antigen Tests• Nucleic Acid Tests• Serology Testing

Features*:• Mapping Examples

• Examples in the manual• Link to externally populated

• How to deal with:• Qualitative/ Quantitative Assays• Multiplex Assays

• Mapping Validation

*Includes but is not limited to.

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Digital Format for LOINC to IVD (LIVD)IVD Industry Connectivity Consortium

Abbott-TEST-v1Abbott Diagnostics

ARCHITECT c8000

00380740000509 FDA UDI 1069 GluC Serum/Plasma mg/dL 3L82 2345-7

https://ivdconnectivity.org/livd/

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Digital Format for LOINC to IVD (LIVD)IVD Industry Connectivity Consortium

Abbott-TEST-v1Abbott Diagnostics

ARCHITECT c8000

00380740000509 FDA UDI 1069 GluC Serum/Plasma mg/dL 3L82 2345-7

https://ivdconnectivity.org/livd/

September 29th, 2018LIVD Connectathon

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Provider

eDOS

LOI

LRI

Clinical Lab

eDOS

LOI

LRI

Reference/ Public Health

Lab

National Cancer

Institute?

Cancer Registries

Public Health Department

Centers for Disease Control

NMI

e.g., Nationally Notifiable Disease Reporting; Case reporting

LRI-CG; NAACCR LRI-PH (ELR)

eICR/ Digital Bridge

IVD Vendor 1 Analyzer 1

Analyzer 2

Pre-Processor

LIS/ LIMSIVD Vendor 2

Clinical LaboratoryProvider InterfaceUnderlying StandardsHL7Specimen DAM

LOINCSNOMED-CTUCUMTest Catalog

LAW

LAW

LDA

LIVD

eDOS

Legend

Plans

Semantic & Syntactic Interoperability

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Provider

eDOS

LOI

LRI

Clinical Lab

eDOS

LOI

LRI

Reference/ Public Health

Lab

National Cancer

Institute?

Cancer Registries

Public Health Department

Centers for Disease Control

NMI

e.g., Nationally Notifiable Disease Reporting; Case reporting

LRI-CG; NAACCR LRI-PH (ELR)

eICR/ Digital Bridge

IVD Vendor 1 Analyzer 1

Analyzer 2

Pre-Processor

LIS/ LIMSIVD Vendor 2

Clinical LaboratoryProvider InterfaceUnderlying StandardsHL7Specimen DAM

LOINCSNOMED-CTUCUMTest Catalog

LAW

LAW

LDA

LIVD

eDOS

Legend

Plans

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CG – Clinical GenomicsDAM – Data Analysis ModeleDOS – Electronic Directory of ServiceseICR – Electronic Initial Case ReportELR – Electronic Laboratory ReportingHL7 – Health Level 7IVD – in vitro DiagnosticLAW – Laboratory Analytical WorkflowLBL – Laboratory Barcode LabelingLDA – Laboratory Device AutomationLIS – Laboratory Information SystemLIMS – Laboratory Information Management SystemLIVD – LOINC Transmission format for IVDsLOI – Laboratory Orders InterfaceLOINC – Logical Observations Identifiers Names and CodesLRI – Laboratory Results InterfaceLSH – Laboratory Specimen HandoffLST – Laboratory Specimen TrackingNAACR – North American Association of Central Cancer RegistriesNMI – NNDSS Modernization InitiativeNNDSS - National Notifiable Diseases Surveillance System PH – Public HealthSNOMED-CT – Systematized Nomenclature of Medicine – Clinical TermsUCUM – Unified Codes for Units of Measure

Legend

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SHIELD Demo Projects (Partial List)1. Infectious disease/antimicrobial resistance outbreak monitoring International Problem: Ambiguous lab data impedes surveillance & data transfer with patientSolution: Implement SHIELD multi-agency/stakeholder standard infrastructure to improve accuracy and expediency infectious disease test data.ROI: real-time outbreak monitoring; patient data transferable; RWE thru TPLC

2. Standardize Lab Data to Enhance Patient-Centered Outcomes & Improve Value-Based Care National Problem: Poor lab data quality delays diagnosis/treatment & repeat testing/ billingSolution: Link SHIELD-vetted lab data to diagnosis & claims codes in provider EHRs & MDEpiNetregistriesROI: quality codes for all IVDs; improve the time to diagnosis for patients; reduce repeat testing/insurance billing when patients move between healthcare providers; RWE thru TPLC

3. Associate opioid diagnostics to patient reported outcomes & prescription data National Problem: Lack of reliable information leads to pain medication over-prescription, enabling substance abuse/addiction & illegal controlled substance distributionSolution: Link SOC tests (w/SHIELD quality coding) for opioid overdose in emergency department to filled opioid prescriptions, patient diagnoses and PROs across institutions/states.ROI: Portable data trifecta (IVD data, PDMP data, PROs) to support patient provided information & improve healthcare delivery that can follow a patient; RWE thru TPLC

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