From Data to Implementation and Back Again: Lessons from VAs - - PowerPoint PPT Presentation

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From Data to Implementation and Back Again: Lessons from VAs - - PowerPoint PPT Presentation

From Data to Implementation and Back Again: Lessons from VAs Emerging Learning Health System Maria Souden, PhD Associate Director, VA Information Resource Center AcademyHealth Annual Research Meeting 27 June 2017 A Learning Health System


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From Data to Implementation and Back Again: Lessons from VA’s Emerging Learning Health System

Maria Souden, PhD Associate Director, VA Information Resource Center AcademyHealth Annual Research Meeting  27 June 2017

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A Learning Health System is one where… “science, informatics, incentives, and culture are aligned for continuous improvement and innovation, with best

practices seamlessly embedded in the delivery process

and new knowledge captured as an integral byproduct of the delivery experience.”

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Iterative cycles of a Learning Healthcare System

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Elements of the Supporting Infrastructure

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1) well-developed digital infrastructure to capture and store administrative and clinical information

2) mature data utility that can turn this diverse set of information into usable

knowledge to guide decisions at every level of the health system 1) considers science, informatics, incentives, and culture 2) supports continuous improvement and innovation

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Today’s panel

Lessons Learned about Supporting Data Literacy for a Learning Healthcare System Maria Souden, PhD Big Data Phenomics in the VA Mary Whooley, MD From Learning to Doing: Identifying, Implementing, and Spreading Promising Practices in the VA Healthcare System George L. Jackson, PhD, MHA The Partnered Evidence-based Policy Resource Center: Building the VA Learning Healthcare System Steven D. Pizer, PhD Discussant Steve Fihn, MD, MPH

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RDW

V20 V19 V18 V22 V21 MOSS Farm

RDW

V12 V15 V16 V17 V23 MOSS Farm

BI SharePoint (MOSS) Farm

  • Performance Point Services
  • Excel Services
  • Reporting Services
  • Analysis Services
  • Collaboration Services
  • Team Foundation Services

CDW

SAS Grid VINCI Apps PMAS

GIS

MOSS Farm

Enterprise (AITC)

RDW

V1 V2 V3 V4 V5 MOSS Farm

RDW

V6 V7 V8 V9 V10 V11 MOSS Farm

Region 1 Region 2 Region 3 Region 4

Annually:

  • 1.6 billion outpatient encounters, 9 million hospital admissions
  • 3.2 billion clinical orders; 5.6 billion lab tests, 1.5 billion prescriptions filled
  • 165 million radiology procedures
  • 2 billion text notes (unstructured), hugely enriched with a lot of information

Typical day:

  • 420,000 patient encounters, 2.4 million lab results , 553,000 pharmacy fills

VA Data

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The VA’s Corporate Data Warehouse (CDW)

  • Relational database containing VHA administrative and clinical data
  • Most data dates to fiscal year 1999
  • Central to business management, population health management,

quality improvement, research, and health system innovation

  • Comprises 50+ data “domains,” including:

– Inpatient and Outpatient Records – Inpatient and Outpatient Pharmacy – Lab Tests and Results – Enrollment information

  • Units of analysis vary by table, ranging from drug to diagnosis to inpatient

stay to consult to prescription refill

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Opportunities Challenges

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Supporting “data literacy”

  • Work with and document the data
  • Educate data users through:

– Factbooks, Technical briefs, User Guides, Statistical Snapshots – Cyberseminars & tutorials

  • Disseminate resources through:

– Websites & Communication portals – Listservs – HelpDesk – Newsletter: Data Issues Brief

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Lesson 1: Context is critical, and not always obvious

  • Research and quality improvement use of data is secondary to

its original purpose

  • Requires in-depth understanding of how the data were

generated and transformed

  • Know what you have and what it means

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Lesson 2: Need for a broad knowledge pipeline

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  • Beyond “institutional” knowledge
  • Support diversity of questions, uses, and applications of data
  • Keep up with complexity, change, growth

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LHS Lesson 3: People are part of the infrastructure

  • Explicate tacit knowledge- expertise residing in people
  • Data reuse can be nuanced- don’t know what you don’t know
  • Knowledge distributed across organization

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HSRData Listserv

  • Email-based question-answering community of ~1,300 VA

data users

  • Membership spans disciplines, functions, offices
  • Posts have increased fourfold since CDW came into broad use

(30120/month)

  • Average 2.9 answers per question
  • Thoughtful and valued community resource
  • But lacking knowledge organization and affordances for reuse
  • f information shared.

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Next-generation HSRData Forums - better supporting the Learning Healthcare System

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19 Highlight who knows what Categorize and group information