1A History and current state of informatics Flashcards
(76 cards)
EHR developed by VA that is known in field as an examplar is
VistA
CMIO best described by what category
Professional
Biomedical informatics area most concerned with processing of data from the human genome
Bioinformatics
Area of biomedical informatics who works mostly with data captured by state and local health authorities
Public health informatics
According to Friedman, what is not informatics
Processing large data sets and other general uses of computers
Biomedical informatics (BMI)
“the interdisciplinary field that studies and pursues
the effective uses of biomedical data, information, and knowledge for scientific
inquiry, problem solving, decision making, motivated by efforts to improve human
health.”
* “BMI investigates and supports reasoning, modeling, simulation, experimentation, and
translation across the spectrum from molecules to individuals and to populations,
from biological to social systems, bridging basic and clinical research and practice
and the healthcare enterprise.
More definitions of biomedical informatics
“The science of information applied to biomedicine … data plus meaning.”
(Bernstam, 2010)
European and global perspectives (Haux, 2010; Hasman, 2011; Geissbuhler,
2011)
Early definition: “storage, acquisition, and use of information” (Greenes, 1990)
“Fundamental theorem” (Friedman, 2009
Informatics is
Cross-training where basic
informational science meets a
biomedical application domain
* Relentless pursuit of assisting
people
* Tower of achievement
* Model formulation
* System development
* System implementation
* Study of effects
Informatics isn’t
Scientists or clinicians tinkering
with computers
* Analysis of large data sets per se
* Circumscribed roles related to
deployment of electronic health
records (*point of disagreement)
* Profession of health information
management
* Anything done using a computer
History of informatics
Origin of term attributed to Dreyfus in 1962 (Fourman, 2002)
Achieved widespread use in France (informatique), Russia, and later rest of
Europe in 1960s to denote computing issues related to information use
“Medical informatics” first used in 1974 (Collen, 1994)
* More European history from Moehr (2004)
* History of field documented by Collen (2015)
At present, most significant use is in biomedical arena, but it is used by other
domains, such as law, chemistry, social sciences, etc
Early EHRS
- COSTAR – Massachusetts General Hospital (Barnett, 1979)
- HELP – Utah (Kuperman, 1991)
- TMR – Duke (Stead, 1988)
- Regenstrief – Indiana (McDonald, 1999)
- El Camino – California (Carter, 1987)
- VistA – Veteran’s Administration (Brown, 2003)
Early systems in informatics
- MYCIN (Shortliffe, 1975; Clancy, 1984)
- Internist-1/QMR (Miller, 1982)
- ELHILL (Lindberg, 1986)
- Problem-knowledge coupler (Weed, 1969
Traditional groupings of information professionals in
health care
Information technology (IT) – usually with computer science or
information systems background
* Health information management (HIM) – historical focus on medical
records
* Clinical informatics (CI) – often from healthcare backgrounds, performing
analysis, training, etc.
* Others – librarians, managers, etc.
Careers in informatics: academic, professional, liaison
Category Jobs
Academic Informatics researcher or teacher
Professional Chief Information Officer, Chief Medical/Nursing
Informatics Officer, Developer, Trainer
Liaison Represent clinical or research community in IT initiatives,
e.g., clinical champion
Who are the leaders in IT and informatics?
- Chief Information Officer (CIO)
- Chief Clinical Informatics Officer (CCIO) (Kannry, 2016), including
- Chief Medical/Health Informatics Officer (CMIO)
- Chief Nursing Informatics Officer (CHIO)
- Other Chief X Officer (CXO) – security, quality, data, etc.
- Many other titles, no standards
Hospitals and healthcare organizations increasingly creating operational
“clinical informatics” departments
Often separate from IT (and CIO)
* Usually with clinical leadership, often CMIO
* Increasingly incorporate HIM
Current and Future Challenges – Start of a List
Healthcare spending continues to rise; most see need to stabilize or reduce
* Implementation is difficult
* Return on investment is difficult to measure (and conceptualize)
* How much is too much? Is it all hype?
* Complexity creates risk; simplicity seems unsatisfying
Bayes’ Theorem
Moore’s Law
Metcalfe’s Law – but not really: n(n-1)/2
Greek Oracle problem (Miller, 1990
“Curly braces” problem (Samwald, 2012
Homer Warner’s summarization of informatics:
“10% medicine, 10%
technology, 80% sociology” and its implications for the field
recall/sensitivity