Transcript Health Informatics Research

Computer Science Department
Health Informatics
Research
Dominic Covvey
Chrysanne DiMarco
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Health INFORMATICS
Computer Science Department
What is Health Informatics?
 The development of concepts, structures, frameworks, approaches,
and systems to enable efficient and effective health services,
including all aspects of health research, disease prevention, health
promotion, healthcare, disease management, and terminal care.
 Health data mining; knowledge discovery.
 The nature and structure of health information; a health ontology.
 The meta-analysis of clinical trials.
 Health care guidance systems; decision-support systems.
 Bio-medical computing.
Math
 Anything in:
Computer
Science
Information
Science
HEALTH
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Health INFORMATICS
Computer Science Department
Health Informatics Research-Related Activities
 Graduate Specialization in Health Informatics
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Opportunity to do Computer Science research in a health-related
area.
 Health Information Management.
 Intelligent Health Systems
 The Health User Interface and Interactive Systems.
 Health Communications.
 Mathematical Computing in Health.
 The Health Infrastructure: Operating Systems, Languages,
Systems Architectures.
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Research Preparation Course: Frontiers of CS Research in Health
Informatics.
 Identifying, understanding, and looking beyond the CS
underpinnings of health informatics.
Health INFORMATICS
Computer Science Department
Health Informatics Research-Related Activities
 Proposed Institute for Computer Science Research in Health
Informatics (ICSRHI).
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Building a center of excellence in Computer Science research
that extends the conceptual underpinnings of Health Informatics.
 Developing new CS concepts, frameworks, and approaches
that enable the development of robust systems that address
key needs of the health sector.
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Providing a focus for intra- and inter-departmental interdisciplinary Computer Science (CS) research that attracts both
faculty and student involvement and enhances the CS graduate
program.
 Health Informatics problems provide interesting and arresting
real-life topics for Masters and Ph.D. theses, as well as for
faculty research.
Health INFORMATICS
Computer Science Department
CS Faculty with Interest in HI Research
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Name
Areas
Nick Cercone
Dominic Covvey
Don Cowan
Paul Kearney
Chrysanne DiMarco
George Labahn
Frank Tompa
Grant Weddell
Bill Cowan
Forbes Burkowski
Anne Banks Pidduck
Dale Schuurmans
Alan Law
Dept. Chair: Health Data Mining; AI
Co-operative Information Systems; Image Processing
HI Education
Bioinformatics
Natural Language Generation; AI
Mathematical Modelling; Num. Analysis; Algorithms
Health Databases; Data Mining, Warehousing
Health Databases
Interactive Systems; Graphics; Image Processing
Data Mining, Warehousing
Software Engineering
Health Databases; Data Mining, Warehousing; AI
Mathematical Modelling; Algorithms
Health INFORMATICS
Computer Science Department
HI Research at UW
 Within Non-CS Areas:
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Applied Health Sciences.
 Optometry.
 Gerontology.
 Within Computer Science/Math:
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Bioinformatics (Kearney).
Health Natural Language Generation (DiMarco).
Health INFORMATICS
Computer Science Department
Health Informatics Progress
 Developed position paper related to Health Informatics (September 99).
 Announced HI graduate specialization program (September 99).
 Obtained MRC/CIHR grant to support the development of 3 HI
curricula: Applied Health Informatics, R+D Health Informatics, and
Clinician Health Informatics (Fall 99).
 Work began in December 1999 and will complete in September 00.
 Began design of EPHIP (newest addition to EPSP and EPNP programs)
(Fall 99)
 First course in this program will be offered in the Winter 01.
 Developed and taught first version of graduate course [786R]
“Frontiers of CS Research in HI” (Summer 00)
 Next offered in 2001.
 Developing a series of seminars on the Unified Medical Language
System (UMLS) (Fall 00).
 How can current CS concepts help UMLS?
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Health INFORMATICS
Computer Science Department
Health Informatics Advisory Board
R. Briggs
R. Bernstein, MD
H. Brown
T. Closson*
D. Cowan
S. Huesing*
J. Israel, MD
A. Topp
W. Weiler
H. Wright
D. Zitner
TBA
TBA
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Director IS
FP Informatics
CEO
Prof. Em.
President
VP Medicine
VP, Finance
Citizen
CEO
Director MI
ADM MoH
Prof.
Oshawa General Hospital
University of Ottawa
Data General Canada
Toronto Health Network
University of Waterloo
Healthcare Comp. + Comm.
Grand River Hospital Corp
Sunnybrook Hospital, Toronto
Waterloo, Ontario
Cambridge Memorial Hospital
Dalhousie University/HEALNet
Ontario Ministry of Health
Applied Health Sciences
Health INFORMATICS
Computer Science Department
Graduate Course:
Frontiers of CS Research in
Health Informatics
Dominic Covvey
Chrysanne DiMarco
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Health INFORMATICS
Computer Science Department
The Frontiers of CS Research in HI: Learning Objectives
 On completion of this course, the student will be able:
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To identify the major current thrusts of HI research.
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To explain the pathway to the current research, describing
predecessor systems/approaches.
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To define next steps in terms of potential research problems that
likely lie ahead of current work and that can potentially
significantly advance the field.
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To identify concepts and methods from Computer Science,
Mathematics, and other disciplines that might be productively
applied in this research.
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To launch his or her own research more independently.
Health INFORMATICS
Computer Science Department
The Frontiers of CS Research in HI: Concept
Intelligent Health Systems
Interactive Systems
Health Communications
THE UNKNOWN
Current Research
THE WORLD
OF THE KNOWN
Health Info
Management
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Op Systems + Languages in Health
Mathematical
Computing in
Health
Social Aspects of Computing
Health INFORMATICS
Computer Science Department
The Frontiers of CS Research in HI: Format
 Course meets for 1.5 hrs twice 2X/wk.
 For each topical area there is a “breadth session” that parses the
area and summarizes current activity and knowledge (open to all).
 The 2nd session for each topic (the “depth session”) identifies key
issues and gaps in knowledge, methods, and tools.
 In the 3rd session, student research into a specific HI sub-topic will
identify and characterize open problems, what must be done for work
to progress, and where some of the potential solutions might come
from.
 The final session in each topical area will be an invited keynote talk
by an active HI researcher in a selected HI sub-topic.
 This lecture will highlight the problems that are at the leading
edge of current research, and impart an understanding of the key
advances required.
 Evaluation: class reading and presentation assignments, presented
and written project on an HI topic, oral.
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Health INFORMATICS
Computer Science Department
Potential Health Informatics Research Areas
 Health Information Management
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Health Object Model; VLDBs.
Health Data Analysis (OLAP) and Presentation.
Health Data Warehousing.
Health Data Mining.
Advanced Query Systems.
Co-operative Health ISs.
High-Level Languages.
The Nature and Structure of Health Information.
Health-Related Nomenclatures.
Computer-Based Patient Records; Clinical Data Repositories.
Health Data Standards.
Health Process Simulation and Modeling.
Health Research Support Systems (e.g. Clinical Trial Mgmt.)
Health INFORMATICS
Computer Science Department
Potential Health Informatics Research Areas
 Intelligent Health Systems:
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The Nature of Cognition and Decision-Making in Health.
Machine Learning in Health.
Neural Networks.
Natural Language Understanding; NL Generation.
Knowledge Abstraction and Summarization.
Knowledge Representation.
Expert Clinical/Administrative Decision-Making/Support Systems.
Care Guidance and Critiquing Systems.
Image and Signal Processing and Understanding.
Patient Monitoring and Closed-Loop Treatment Systems.
Prosthetic Systems.
Biometric Systems.
Health INFORMATICS
Computer Science Department
Potential Health Informatics Research Areas
 The Health User Interface and Interactive Systems:
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Adaptive Interfaces for Health Care Providers; Provider Wkstns.
Advanced Interactive Technologies.
Image Management and Reconstruction Systems; PACS.
Computer-Assisted Surgery.
Voice, Gesture, and Handwriting Recognition.
Human Factors in Health Systems.
Navigation in Rich Environments.
Health INFORMATICS
Computer Science Department
Potential Health Informatics Research Areas
 Health Communications:
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Multimedia Communications Technologies.
Telehealth and Telemedicine.
Data Compression.
Encryption and Decryption.
Communications Standards.
Virtual Conferencing and Collaboration.
Internet-Based Systems.
Communications System Performance and Adaptability.
Workflow Management Systems.
Interoperability.
Automated Message Analysis and Management.
Health INFORMATICS
Computer Science Department
Potential Health Informatics Research Areas
 Mathematical Computing in Health:
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Efficient Algorithms (Reconstruction, Compression/
Decompression, Image Processing, etc.).
Genomic Research; Protein Folding.
Biostatistics.
Meta-Analysis of Clinical Trials.
Mathematical Modeling of Physiological Systems.
Signal Reconstruction (e.g., Cardiac Conduction from the
Surface ECG).
Techniques for Functional Magnetic Resonance Imaging.
Real-time Biological Control Systems.
Health INFORMATICS
Computer Science Department
Potential Health Informatics Research Areas
 Operating Systems, Languages, and the Health Infrastructure:
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High-Level Languages for Health Systems.
Innovative Operating Systems for Health Environments.
Security of Health Systems.
Tools for Managing Clinical and Basic Research.
Enterprise Integration; Middleware; Mediators.
 Social Aspects of Computing:
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Privacy.
Economics of Computing.
Ethics and Computing
Psycho-Social Impacts of Computing
Evaluation of the Efficacy of Health Systems.
Health INFORMATICS