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Building the Electronic Data Infrastructure:  Lessons from Indiana PROSPECT. Paul Dexter, MD Chief Medical Information Officer, Wishard Health Services Regenstrief Institute Scientist Supported by AHRQ Grant R01 HS19818-01 Dr Dexter has no conflict of interest.

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building the electronic data infrastructure lessons from indiana prospect
Building the Electronic Data Infrastructure:  Lessons from Indiana PROSPECT

Paul Dexter, MD

Chief Medical Information Officer, Wishard Health Services

Regenstrief Institute Scientist

Supported by AHRQ Grant R01 HS19818-01

Dr Dexter has no conflict of interest.

enhancing health care it infrastructure
Enhancing health care IT infrastructure
  • A learning health system
  • Coordinated clinical, research, and quality improvement efforts
  • Outcomes important to patients
  • CER, PCOR
  • Leveraging EHRs and other data sources
  • Rapid, comprehensive, hypothesis-generating results
local opportunities and challenges
Local opportunities and challenges
  • A large health information exchange
  • Creation of new software
  • Study enrollment challenges, PBRN
  • Investigator access to preliminary data
  • Integration of clinical and genetic research
  • Capture of patient reported outcomes
  • Improved support of standards
specific aims
Specific aims

Enhance existing information technology infrastructure:

  • Support providers, caregivers, and researchers by providing new tools for communication and co-management
  • Provide de-identified access to the INPC database for CER work
  • Capture and store health care outcomes important to patients and their caregivers

Comparative effectiveness clinical trial of medication treatment for behavioral symptoms of Alzheimer’s disease

inpc data
INPC Data
  • 80 hospitals signed up
  • 46 hospitals “live”
  •  1,400 interfaces
  •  12 million individuals
  •  4 billion structured results
  • Also includes:
  • Laboratories
  • Radiology centers
  • Public health
  • 5 large payors
slide8

Realtime

Record Count

as denominator

study design tool
Study design tool

Realtime

Record Count

as denominator

study design tool1
Study design tool

Realtime

Record Count

as denominator

automated biospecimen tracking
Automated biospecimen tracking

Scan

patient

barcode

caTrack

Scan

blood tube

barcode

caTrack Business Logic

caTissue Application

Phlebotomist

Scan

centrifuge

barcode

Scan

blood tube

barcode

PDA with Scanner

Web Service

BioSpecimen Database

Scan

box

barcode

Lab Technician

Scan

aliquot

barcode

slide16

Biospecimen

Tissue

Tracking

Biospecimen

Tissue

Tracking

INPC

INPC

myTrack

Molecular

Data

Global ID

Global ID

Staging Server

De-identification

I2B2

Database

vending machine concepts
“Vending machine” concepts

Diabetes mellitus

Coronary artery disease

Myocardial infarction

Heart failure

COPD

Asthma

Hypertension

Breast cancer

Prostate cancer

Lung cancer

Colorectal cancer

Ovarian cancer

Esophageal cancer

Stroke

Chronic kidney disease

GI bleeding

HIV/AIDS

Schizophrenia

Hyperlipidemia

Osteoarthritis

Rheumatoid arthritis

Falls

ADHD

Etc….