INVESTING IN A COORDINATED DATA NETWORK INFORMING THE VISION OF NEST - - PowerPoint PPT Presentation

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INVESTING IN A COORDINATED DATA NETWORK

INFORMING THE VISION OF NEST THROUGH PARTNERSHIPS ACROSS THE INDUSTRY

A PARTNERSHIP TO ACCESS REAL-WORLD DATA TO GENERATE RELIABLE REAL-WORLD EVIDENCE

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KEY CHALLENGES FACING REAL-WORLD DATA

BUILDING ON PAST LEARNINGS, ACKNOWLEDING KEY CHALLENGES

FACTORS FOR SUCCESS

DATA ACCESS: Front-end and back-end data and IT standardization and centralization DATA USAGE: Reliable and meaningful data dictionaries and data capture workflows + Cross-functional collaboration, innovative, entrepreneurial mindset, and supportive regulatory environment

KEY GOALS AND AREAS FOR COLLABORATION

Technical Requirements for Data Capture, Extraction, Transformation and Analysis Data Modeling and Testing Expectations Policies, Processes and Methodologies

Data access for execution capability; data usage for meaningful and reliable evidence generation - partnership across stakeholders is critical

MERCY PROGRAM DEEP DIVE

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PROGRAM GOALS

§ Establish technical infrastructure and requirements that will enable access and use of clinical, claims, purchasing and administrative data across Mercy IHS § Assess the data asset value in terms of data quality/reliability as well as the extractability and usability of unstructured data § Define and modify clinical systems and workflows to maximize data standardization, quality and completeness § Define gaps and opportunities in the current regulatory environment DEFINE REQUIREMENTS FOR RWD NETWORKS THROUGH FULL EXECUTION OF OUR PROCESS

Our Data Extraction Process

DATA USAGE

• 4. Quality Assurance
• 5. Modeling & Testing
• 6. Consumption

Preparation DATA ACCESS

• 1. Sourcing
• 2. Mapping
• 3. Extraction

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PROGRAM GOALS

DEFINE REQUIREMENTS FOR RWD NETWORKS THROUGH FULL EXECUTION OF OUR PROCESS

WHY MERCY

UDI Adoption & Leadership Connection /Collaboration across Industry Standardization & Workflow Mgmt Recognized Leader in Advanced Analytics

$2.5M total

$1.8M+ at Mercy | $700k+ at Medtronic

Mercy has innovation track-record combined with willingness to learn and to dedicate resources to act

Our Data Extraction Process

DATA USAGE

• 4. Quality Assurance
• 5. Modeling & Testing
• 6. Consumption

Preparation DATA ACCESS

• 1. Sourcing
• 2. Mapping
• 3. Extraction

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OUR USE CASE

ESTABLISHING A METHODOLOGY FOR THE FUTURE

HEART FAILURE CRT USE CASE

Patient Cohort

HF Patient Care Continuum

HF Diagnosis CRT Implant

Data extraction start 3 years prior to 1 and/or 2

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Prospective real-time data extraction on identified cohort

• De-Identified Dataset with 80,000+ Heart Failure patients
• From across the Mercy Health System (40+ sites, 700 clinics), 2011-today
• Medtronic and non-Medtronic patients (the latter will be masked)
• Specific focus on data elements that help assess the effectiveness of CRT devices

OUR GOAL: Application of the use case to inform a scalable methodology for the responsible access and usage of EHR data

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OUR TIMELINE

ESTABLISHING A METHODOLOGY FOR THE FUTURE MILESTONE

A M J J A S O N D J F M

Ø Manual aggregation & extraction of data Ø Transfer of test file Ø Test file data assessment, refine data needs Ø Extract final data list & automate data flow Ø Establish data cloud access (refresh daily) Ø Execute use case analysis, apply advanced analytics Ø Execute policy gap analysis Ø Disseminate findings and learnings across industry stakeholders Ø Define next steps

ü Data sourced across health system and linked at patient level ü NLP programmed, SAP/HANA cloud and analytics established ü Monthly calls with leaders from FDA ü NEST demonstration project award ü Validation of frameworks and templates ü Strong operating model

KEY WINS TO DATE: