Biomedical Informatics. Definition of Biomedical Informatics (BMI)  The discipline dealing with the structure, organization, utilization, and communication.

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What is “Biomedical Informatics”?
What is “Biomedical Informatics”?
April 18th 2018 Moderator: Matthew Rioth
COMPUTERIZED PHYSICIAN ORDER ENTRY (CPOE)
Presentation transcript:

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 the visualization of medical data? How can we improve decision-making at the point of care? How can we improve decision-making at the point of care? How can we make care safer using technology? How can we make care safer using technology?  Bioinformatics Are there faster/better ways to diagnosis cancer through bioinformatics techniques 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? How can informatics support the education of students and practitioners?  Educational Informatics How can we improve education through 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? 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? How can we improve the adoption of clinical systems? Can we improve chronic care management through informatics? Can we improve chronic care management through informatics?

Overview of Some Informatics Products

Copyright (C) 2003 Vanderbilt University Medical Center WizOrder Main Screen Layout: Simple, fixed format: functionally oriented, designed with users Physician enters order for antibiotic, Gentamicin, by partially typing its name 1) Active orders 2) Common useful orders based on patient location 3) What to do next in WizOrder 4) Buttons for commonly used features

Drip infusion rate calculator for the PICU Copyright © 2002, Vanderbilt University Medical Center User then enters dose and rate WizOrder pre-fills weight

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 mass- spectrometry-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?