initial implementation of an intelligent patient data review assistant (ipdra) ltc trinka coster, md...
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Initial Implementation of an Intelligent Patient Data Review Assistant (IPDRA)
LTC Trinka Coster, MDMatthew Medlock, MD
LTC Joseph Parker, MDJim Ong, MS
Jane Dowling, MSStephen Porter, MDSeth Powsner, MD
Ida Sim, MD PhD
Walter Reed Army Institute of ResearchUniformed Services Univ. of the Health SciencesWalter Reed Army Medical CenterStottler HenkeNYU Medical CenterHarvard Medical SchoolYale University School of MedicineUC San Francisco School of Medicine
ATA 2004
TATRC
PROBLEM• Automated clinical results require users
to shift through voluminous, un-summarized electronic data which are not formatted in a way to help the physician discover and/or see relationships
• No method to communicate to and from a medical consultant integrated medical data to facilitate diagnosis or management of a medical problem
TATRC
DIA – Data Standards for Clinical Development – Sept. 17, 2002
Patient Profiles and Standard Submission Data
Graphical Patient Profile
Small Business Innovative Research Project – Cognitive
Patient-Clinician Encounter Model
.
Mission
Project Goals
Testbed
Integrate patient data to facilitate rapid identification of trends, interactions, and/or medically relevant relationships
Develop and evaluate an operational prototype that demonstrates feasibility and utility
Dept. of Defense clinical databases
Intelligent Patient Data Review Assistant Strategy (IPDRA)
Patient data views
Information-dense displays
Web access
Visual view authoring
Integrate data across disparate sources to present clinically-meaningful subsets of medical data by problem, guideline or concept
MultiTimeGraphs displays coordinated timelines and time-series graphs
Web browser displays views generated by the IPDRA web application server
Users specify view logic by using authoring tool to draw flow charts
Research Questions
Utility of views
View design principles
Feasibility
Do views decrease the time for patient data review by clinicians? Do views make it easier to detect trends and/or relationships? Do views decrease medical errors?
What design guidelines and principles can help ensure effective views?
Does the authoring tool enable practical and economical creation of potentially large libraries of views?
IPDRA Architecture
View GenerationView Authoring
Authoring Tool (SimBionic)
View logic specifications
IPDRA Web Application Server or IPDRA View Test/Debug Application
SimBionic Run-time System
predicates: db utils
actions: HTML, XML generation
clinical database(ICDB, M2, CHCS II)
IPDRA database (graph, SQL, HTML
templates)
Preliminary View Design Findings• Data review steps can be inferred from
clinical practice guidelines to guide view design
• For complex problem views, physician can use authoring tool to visualize integrated data
• Views can show physical exam results, risk factors, related problems (ICD9), labs, pharmacy, procedures and radiology
TATRC
IPDRA Status• Designed and implemented prototype of IPDRA
authoring and view generation software• Prototyped 3 views (hypertension, cardiac
overview, diabetes mellitus) using DoD’s Integrated Clinical Data Base (ICDB) as the test database
• Evaluation (and refinement) of views planned for fall 2004 IF WE GET ACCESS TO SANITIZED CLINICAL DATA
TATRC
ISSUES
• Access To Sanitized Clinical Data• Electronic Drug Label – Knowledge Source• Electronic Guidelines – Knowledge Source• Redefine “Drug Allergy Section” to “Allergy &
Drug Intolerance and Ineffectiveness”• Medical Confounders: “Yes/No” “Start Date/Stop
Date”• Edit and Annotation Features
TATRC