Clinical Research Data Systems and Networks Supported by the BU-CTSI - - PowerPoint PPT Presentation

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Clinical Research Data Systems and Networks Supported by the BU-CTSI - - PowerPoint PPT Presentation

Clinical Research Data Systems and Networks Supported by the BU-CTSI William G. Adams, MD Professor of Pediatrics Director, BU-CTSI Clinical Research Informatics Boston University School of Medicine/Boston Medical Center badams@bu.edu Our


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William G. Adams, MD

Professor of Pediatrics Director, BU-CTSI Clinical Research Informatics Boston University School of Medicine/Boston Medical Center badams@bu.edu

Clinical Research Data Systems and Networks Supported by the BU-CTSI

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Our “EcoSystem”

  • BMC is largest safety net

provider in New England

  • Nearly all CHCs are FQHCs
  • EHR-based care
  • BMC since 1999
  • CHCs since 2003
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A Vision

  • Data is open - privacy is protected
  • Researchers focus on questions more

than queries

  • Data and tools are standardized so

the same question can be asked at multiple sites

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BMC Clinical Data Warehouse

  • Source data for BMC clinical systems
  • Dedicated research data analyst(s)
  • Includes CHC data and BMC data
  • Claims being added
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BU-CTSI Clinical Data Resources and Networks

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i2b2

  • “Informatics for Integrating Biology with

the Bedside”

  • Open-source software based on the MGH

Research Patient Data Repository (RPDR)

  • Collection of modules or “cells” constitute

the i2b2 “hive”

  • De-identified clinical data repository
  • Data linked to standardized vocabularies
  • Web-based query and analytic tools
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Staging Area i2b2

Functions:

  • MPI linkage
  • Data cleaning
  • Standardization

(LOINC, CPT, RxNorm, ICD9,SNOMED CT) Data:

  • Demographic
  • Insurances
  • Services
  • Medications
  • Problems
  • Labs
  • Clinical Observations

EHR Data

Sites:

  • Boston Medical Center
  • Dorchester House MSC
  • Codman Square HC
  • Healthcare for the Homeless
  • Greater Roslindale MDC
  • Mattapan CHC
  • South End CHC
  • South Boston CHC
  • Uphams Corner CHC

Database

  • People (1.6+ mil)
  • Facts (2+ billion)
  • Concepts

Tools

  • Query Cell
  • HOME Cell

BMC-i2b2

  • BMC only
  • Web accessible
  • Aggregate data
  • No additional IRB

Health Disparities Repository

  • BMC + CHCs
  • RDP access (with SAS, STATA)
  • HOME Cell and data extracts
  • IRB approval required

BU-i2b2 Resources and Processes

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Ontologies Facts Counts

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I2b2 Data Model

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i2b2 Compatible Data

  • Demographics
  • Problems/Diagnoses
  • Medications
  • Clinical Observations
  • Procedures
  • Laboratory Data
  • Genomic Data
  • Much more…
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i2b2 Recent Additions

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Sample ACT SHRINE Query

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Sample Query: Diabetes and A1C Cohort

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Sample Query: Narrowing Results Range

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Sample Query: Counting Patients

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Sample Query: Exploring the Cohort

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Sample Query: Predicting Arrivals

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Projects/activities

BMC Projects

  • BMC Cancer Registry Integration
  • BP Normalization and Care
  • VVV in BP, lipid, and Hgb1C
  • Sickle Cell QI (children and adults)
  • Community-based smoking cessation
  • Pneumonia rates in PCV vaccine era
  • HPV vaccination and morbidity
  • Algorithms for Personalized Decision

Making

  • Vital Village – geographic health effects
  • Asthma, Housing, Environment Models
  • Social Determinants and Child BH

I2b2 Networking

  • Cardiovascular Health Atlas
  • ePROS – psychotropic

medication use in kids

  • ePROS – on- off-label safety
  • ePROS – pediatric hypertension
  • Long-term outcomes following

bariatric surgery

  • Insurance switching
  • ACT Network
  • PMI/All of Us
  • Predicting suicide
  • OHDSI
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I2b2 vs OMOP Data Models

OMOP i2b2

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Opportunities/Challenges

  • High-touch vs self-service
  • Building capacity
  • Data literacy
  • Secure workspace(s)
  • Analytic support
  • Data governance
  • Asking compelling questions
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ARCs

  • At least 5 investigators and trainees and a director
  • Focus on a research theme, explored with the aid
  • f different disciplines and technologies.
  • Selected ARCs funded for up to three years via

DOM+CTSI+IBRO

Key words: Inclusiveness; Innovation; Interdisciplinary

Time for a Health Data Science Affinity Research Collaborative (ARC) at BU/BMC?

Contact Bill Adams (Bill.Adams@bmc.org) or/and Katya Ravid (kravid@bu.edu) with ideas or for more information.

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Investigator Expertise Roles

William Adams CRI, Epi, i2b2

Director, clinical and population health informatics lead, manages and promotes i2b2 and OMOP networks

Azer Bestavros CDS,ML-PA,EDS

Computational and data science lead

Marc Lenburg BI

Co-director, bioinformatics lead, CRC bioinformatics liaison

Rebecca Mishuris CRI, EHR, PH

EHR innovation research, ITS-liaison, Epic SME

Christopher Shanahan CRI,RD

CRITC lead, app and registry SME, addiction informatics SME

Ioannis Paschalidis CDS,ML-PA

Machine learning, prediction, School of Engineering liaison

Bindu Kalesan Epi, HSR

Translational Epidemiology and computational resources

Belinda Borelli MH, TBC

Mobile Health lead technology-based behavior change SME

Adam Gower BI

Bioinformatics analytic support, OpenSesame and GeneHive

Adam Labadorf BI

BU-HUB lead, bioinformatics analytic support

Michael Silverstein HSR, PH, ACO

Population Health and ACO Analytics lead, data governance

Martha Werler PHI, Epi, PH

Public Health Informatics, promotes Optum and other data

Nan Do CRI, EHR, HSR

VA-based informatics lead

Expertise Legend: ACO-Accountable Care Organization, BI-Bioinformatics, CDS-Computational and Data Sciences, CRI–Clinical Research Informatics, EHR-Electronic Health Record, Encryption and Data Security (EDS), HSR-Health Services Research, i2b2- Informatics for Integrating Biology and the Bedside, ML-PA-Machine Learning/Predictive Analytics, MH-Mobile Health, OMOP- Observational Medical Outcomes Project, PH-Population Health, RD-Registry Development, SME-subject matter expert, TBC- Technology-based Behavior Change

BU-CTSI Biomedical Informatics Core Key Personnel