Literature DB >> 8563279

Formalisation of safety reasoning in protocols and hazard regulations.

P Hammond1, M J Sergot, J C Wyatt.   

Abstract

Written protocols are often employed to guide patient care. For treatment within a clinical trial, compliance with the trial protocol may be critical in ensuring efficacy and safety. Previous empirical work has established generic safety principles for reasoning about adverse events in clinical trials and their formalisation has been applied in a decision support system for managing treatment plans in oncology. The same generic knowledge can be reused to generate specific safety clauses when designing new treatment plans. Typically, clinicians devise trial protocols relatively infrequently and so software aids, especially those assisting with regulatory/safety conformance, will encourage more effective use of their time. A similar approach to the formalisation of safety knowledge in the control of hazardous industrial processes is discussed.

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Year:  1995        PMID: 8563279      PMCID: PMC2579094     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  7 in total

1.  EEC note for guidance: good clinical practice for trials on medicinal products in the European Community. CPMP Working Party on Efficacy of Medicinal Products.

Authors: 
Journal:  Pharmacol Toxicol       Date:  1990-10

2.  Sequences of taxol and cisplatin: a phase I and pharmacologic study.

Authors:  E K Rowinsky; M R Gilbert; W P McGuire; D A Noe; L B Grochow; A A Forastiere; D S Ettinger; B G Lubejko; B Clark; S E Sartorius
Journal:  J Clin Oncol       Date:  1991-09       Impact factor: 44.544

3.  Development of Design-a-Trial, a knowledge-based critiquing system for authors of clinical trial protocols.

Authors:  J C Wyatt; D G Altman; H A Heathfield; C F Pantin
Journal:  Comput Methods Programs Biomed       Date:  1994-06       Impact factor: 5.428

4.  Requiring physicians to respond to computerized reminders improves their compliance with preventive care protocols.

Authors:  D K Litzelman; R S Dittus; M E Miller; W M Tierney
Journal:  J Gen Intern Med       Date:  1993-06       Impact factor: 5.128

5.  A model for critiquing based on automated medical records.

Authors:  J van der Lei; M A Musen
Journal:  Comput Biomed Res       Date:  1991-08

6.  Improvements in data collection through physician use of a computer-based chemotherapy treatment consultant.

Authors:  D L Kent; E H Shortliffe; R W Carlson; M B Bischoff; C D Jacobs
Journal:  J Clin Oncol       Date:  1985-10       Impact factor: 44.544

7.  Safety and decision support in oncology.

Authors:  P Hammond; A L Harris; S K Das; J C Wyatt
Journal:  Methods Inf Med       Date:  1994-10       Impact factor: 2.176

  7 in total

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