Transcript Trent Rosenbloom, M.D., MPH - Vanderbilt University School

Biomedical Informatics
Definition of Biomedical Informatics
(BMI)

The discipline dealing with the structure,
organization, utilization, and communication of
health-related information.
 Pertinent to clinical care, research, education,
and administration.
What We Do
 Clinical
Informatics
 Bioinformatics
 Regional Informatics
 Informatics Education
 Organizational Transformation
 Educational Informatics
Questions For Our Discipline
 Clinical



Informatics
How can we improve the visualization of
medical data?
How can we improve decision-making at the
point of care?
How can we make care safer using
technology?
 Bioinformatics

Are there faster/better ways to diagnosis
cancer through bioinformatics techniques
Questions For Our Discipline
 Informatics

Education
How can informatics support the education
of students and practitioners?
 Educational

Informatics
How can we improve education through
informatics?
Questions For Our Discipline
 Regional

Informatics
Can we enable better health care by sharing
information from multiple patient care sites
within a geographic area?
 Organizational


Transformation
How can we improve the adoption of clinical
systems?
Can we improve chronic care management
through informatics?
Overview of Some
Informatics Products
WizOrder Main Screen Layout: Simple, fixed format: functionally oriented, designed with users
1) Active orders
2) Common useful
orders based on
patient location
3) What to do next in WizOrder
4) Buttons for
commonly used
features
Physician enters order for antibiotic,
Gentamicin, by partially typing its name
Copyright (C) 2003 Vanderbilt University Medical Center
WizOrder pre-fills weight
User then enters dose and rate
Copyright © 2002, Vanderbilt University Medical Center
Drip infusion rate calculator for the PICU
Meet Our Informatics
Faculty
Clinical Informatics
Dario Giuse, Dr. Ing., MS

The architect of the Star
system that you will use
during your clinical
experience
 Continuously exploring
alternative ideas for
different views of all the
information in an electronic
medical chart.
Daniel R. Masys, M.D.

Knowledge representation issues
and data management
infrastructure for international,
multilingual clinical research.
 Vanderbilt’s DNA databank project
and associated de-identified
“Synthetic Derivative” database
derived from identified clinical
information
 Interpretation of gene expression
patterns via linkage to literature
databases
Kevin Johnson, M.D., M.S.

Evaluating Vanderbilt
clinical information
systems
 Development of
electronic prescription
writer for Vanderbilt
 The Informatics
Emphasis Chair
Randolph Miller, M.D.

Clinical decision support via order
entry system
 Order entry-related monitoring of
clinical activities to detect and
correct excessive utilization and/or
notify clinicians of important events
 TIME NIH grant to review labs and
orders to determine the “kinetics” of
drug-induced side effects that are
measurable through the clinical
laboratory
Josh Peterson, M.D., MPH

Geriatric and Renal dosing
project that will insert dosing
advisories at the point of
prescription writing
 Safe and effective monitoring of
medication toxicities. This is a
epidemiology/data mining
project, but will transition to a
decision support intervention
project.
Trent Rosenbloom, M.D., MPH

Identifying and mapping clinical
phrases to controlled vocabulary
using Mayo Clinic tools
 Growth charts impact survey
 Evaluation of completeness and
correctness of National Drug File
Reference Terminology Physiologic
Effects
 Evaluation of StarNotes usage
Russ Waitman, Ph.D.





Creating and improving viewing
medication history in WizOrder
Adverse Drug Event Monitoring
Impact of CPOE (Clinical Provider
Order Entry)—a VERY hot topic!
Allergy capture refinement and
integration among multiple
information systems.
Potentially study one of the advisors
within WIZ Order, such as
anticoagulant advisor
Regional Informatics
Mark Frisse, M.D.

Tennessee-wide regional
informatics infrastructure
project
 Using Vanderbilt developed
systems in a region
 Located in the three
counties surrounding
Memphis
Organizational Transformation
William W. Stead, MD

Associate Vice Chancellor for
Health Affairs and Director of the
Informatics Center at Vanderbilt
University.
 Chief Information Officer of the
Vanderbilt Medical Center
 Had fostered the development of
informatics that has transformed
Vanderbilt.
Nancy M. Lorenzi, Ph.D.

Patient Focused: Patient portal,
MyHealthAtVanderbilt.edu,
establishing consumer access
 Technology Acceptance/Human
Factors: Physician acceptance
and use of information from
electronic systems for decision
making
 Usability of our information
software systems developed at
VUMC
Dominik Aronsky, M.D., Ph.D.

Created a Whiteboard for the
Emergency Department that
facilitates the clinical and
organizational management of
patients in the ED
 Created decision support
systems for the Emergency
Department—that transformed
our ED to a state of the art
system
Cynthia Gadd, PhD

Research, implementation and
evaluation of integrated clinical
information systems, including
electronic medical records (EHR)
systems
 Addresses system functionality
and effectiveness, as well as
user and organizational impacts.
William (Bill) Gregg, M.D., M.S.

Focuses on the
transformation of how we
handle chronic disease
management
 Created a system that is
called StarTracker
 Is in the process of
testing StarTracker with a
diabetic population
Ed Shultz, M.D., M.S.

Computer-based
documentation
 Has transformed our
organization through his
knowledge about



Application Development
Vendor system integration
Technical architecture
Jack Starmer, M.D.

Oversees the evidence-based
medicine at the point of care
organizational process
 Has transformed our
organization through his efforts



Providing feedback to clinical teams
Created Evidence Central
Order-set usability
Stuart Weinberg, M.D.

A specialist in clinical
information systems and
Pediatric informatics
 Has transformed our
organization through the
creation of


A major outpatient whiteboard
tracking system
Advisors within the WIZ Order
system
Bioinformatics
Constantin Aliferis, MD, Ph.D.

Machine learning algorithms for:




large-scale computational causal discovery
feature selection/construction for
classification
text categorization
Medical Decision Support Systems




molecular (gene expression and massspectrometry-based) prognostic, diagnostic,
and treatment selection models
Normative/evidence-based medicine
Temporal Representation and Reasoning in
biomedicine
Bayesian Networks / Causal Probabilistic
Networks
Shawn E, Levy PhD

His research interests
include technology and
methods development in



High-density gene expression
profiling,
Structural and functional
genomics,
Development of bioinformatics
tools for the integration of
molecular profiles of protein
and gene expression with
genotype information with an
emphasis on colorectal cancer.
Bradley Malin, Ph.D

Focuses on data privacy and
management issues in
biomedical research and clinical
management systems.
 Numerous articles on data
privacy, fraud detection, and
surveillance within various
technologies, including text
databases, biomedical
databases, and face recognition
systems.
Jay Snoddy, PhD.

Modularity in regulatory
networks
 Regulatory signals in
genome sequences
 System biology—
development, and evolution
 Bioinformatics of genes
networks with the Integrative
Neuroscience Initiative on
Alcoholism.
Informatics Education
Anderson Spickard, MD

All aspects of medical
education
 Special focus on the
design and application of
innovative informatics
approaches to medical
education.
Informatics Education
Questions?