Automated Summarization of On-Line Medical Records

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Citation: Stephen M. Downs and Michael Walker and Robert L. Blum. (1986) Automated Summarization of On-Line Medical Records. In KSL-86-06, 1986.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Stephen M. Downs and Michael Walker and Robert L. Blum
title Automated Summarization of On-Line Medical Records
number KSL-86-06
institution Knowledge Systems, AI Laboratory
year 1986
Bibtex more
note Journal Memo.
Access Paper
abstract [[abstract::The ability to automatically create patient summaries of arbitrary and appropriate complexity would represent an important advance. Such summaries would be useful adjunct to a patient record for clinical decision making, real-time patient monitoring, or for surveillance of quality of care.We describe a design for a automated summarization program to label and summarize major events in time-oriented medical records of systemic lupus erythematosus patients. The user interface provides an interactive, graphic representation of the record with active regions selectable by the user to display data supporting conclusions or to magnify a region showing grater detail of the patient record.The program design uses a hypothetico-deductive algorithm. Disease states are evoked based on attributes with abnormal values, and the evoked disease frames are confirmed by matching their templates against the patient record using a temporal querying syntax. This produces likelihood ratios that are used for Bayesian updating of the evoked disease states. A knowledge base of definitions of medical objects and their casual relations underlies the program. At the time of this writing (November 1985), we have just begun implementation of the program in Interlisp on Xerox 1108 workstations, using the Knowledge Engineering Environment (KEE (TM)) [1]. Results of the implementation will be presented at the meeting.|The ability to automatically create patient summaries of arbitrary and appropriate complexity would represent an important advance. Such summaries would be useful adjunct to a patient record for clinical decision making, real-time patient monitoring, or for surveillance of quality of care.We describe a design for a automated summarization program to label and summarize major events in time-oriented medical records of systemic lupus erythematosus patients. The user interface provides an interactive, graphic representation of the record with active regions selectable by the user to display data supporting conclusions or to magnify a region showing grater detail of the patient record.The program design uses a hypothetico-deductive algorithm. Disease states are evoked based on attributes with abnormal values, and the evoked disease frames are confirmed by matching their templates against the patient record using a temporal querying syntax. This produces likelihood ratios that are used for Bayesian updating of the evoked disease states. A knowledge base of definitions of medical objects and their casual relations underlies the program. At the time of this writing (November 1985), we have just begun implementation of the program in Interlisp on Xerox 1108 workstations, using the Knowledge Engineering Environment (KEE (TM)) [1]. Results of the implementation will be presented at the meeting.]]

KSL Technical Report ID: KSL-86-06
Facts about Automated Summarization of On-Line Medical RecordsRDF feed
Author Stephen M. Downs and Michael Walker and Robert L. Blum  +
Bibtype techreport  +
Has author Stephen M. Downs and Michael Walker and Robert L. Blum  +
Has identifier KSL-86-06  +
Has publishing details 1986  +
Has title Automated Summarization of On-Line Medical Records  +
Has where published KSL-86-06  +
Has year 1986  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-86-06  +
Note Journal Memo.
Number KSL-86-06  +
Process note YES  +
Title Automated Summarization of On-Line Medical Records  +
Year 1986  +
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