Linked Life Data

637058

Source:http://linkedlifedata.com/resource/pubmed/id/637058

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1978-5-17
pubmed:abstractText
The administration of digitalis by experienced cardiologists has been examined and a prototypical computer program has been developed which captures portions of their expertise. The new program first constructs a patient-specific model upon which to base the determination of dosage and then uses feedback information about a variety of clinical aspects of the patient's response to modify its recommendations. The model reflects both the program's knowledge of pharmacokinetics and those special features of the patient's condition which may alter his response to therapy. The program makes assessments of the therapeutic and the toxic effects of digitalis on the patient, and bases its subsequent recommendations on the "therapeutic-toxic" state which best describes the evolving clinical situation. A clinical trial was performed in which the program "followed" a series of patients managed by clinicians on a cardiology service. That trial demonstrated the feasibility of this type of program in dealing with acutely ill patients, even those who have increased sensitivity to the toxic effects of digitalis. Each patient in the trial in whom toxicity developed had received more digitalis than would have been recommended by the program. This approach to automated clinical consultation should eventually provide a technology for the distribution of clinical expertise.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0002-9343
pubmed:author
pubmed:issnType
Print
pubmed:volume
64
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
452-60
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
1978
pubmed:articleTitle
Capturing clinical expertise. A computer program that considers clinical responses to digitalis.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Case Reports