Literature DB >> 11604774

A before-after study using OncoDoc, a guideline-based decision support-system on breast cancer management: impact upon physician prescribing behaviour.

J Bouaud1, B Séroussi, E C Antoine, L Zelek, M Spielmann.   

Abstract

Guideline-based decision support systems have been developed to influence the prescribing behaviour of clinicians, but they have not yet shown to increase physician compliance with best practices in routine. OncoDoc is a non-automated system that allows flexibility in guideline interpretation to obtain best patient-specific recommendations at the point of care. OncoDoc is applied to breast cancer management. We have experimented the system at the Institut Gustave Roussy with a before-after study in which treatment decisions for breast cancer patients were measured before and after using the system in order to evaluate its impact upon physicians' prescribing behaviour. After 4 months, 127 decisions were recorded. Physicians compliance with OncoDoc was significantly improved (p < 10(-4) ) to reach 85.03% after using the system. Comparison of initial and final decisions showed that physicians modified their prescription in 31% of the cases. Clinical trial accrual rate increased of 50%, though not statistically significant because estimated on small figures.

Entities:  

Mesh:

Year:  2001        PMID: 11604774

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  12 in total

1.  Automatic generation of a metamodel from an existing knowledge base to assist the development of a new analogous knowledge base.

Authors:  J Bouaud; B Séroussi
Journal:  Proc AMIA Symp       Date:  2002

Review 2.  The impact of health information technology on cancer care across the continuum: a systematic review and meta-analysis.

Authors:  Will L Tarver; Nir Menachemi
Journal:  J Am Med Inform Assoc       Date:  2015-07-15       Impact factor: 4.497

3.  [Guidelines based on decision support software. Quality management in neurological outpatient schizophrenia treatment].

Authors:  B Janssen; R Menke; F Pourhassan; D Gessner-Ozokyay; R Peters; W Gaebel
Journal:  Nervenarzt       Date:  2006-05       Impact factor: 1.214

4.  Clinical decision support for therapeutic decision-making in cancer: A systematic review.

Authors:  Melissa Beauchemin; Meghan T Murray; Lillian Sung; Dawn L Hershman; Chunhua Weng; Rebecca Schnall
Journal:  Int J Med Inform       Date:  2019-08-12       Impact factor: 4.046

5.  A Systematic Review of Clinical Decision Support Systems for Clinical Oncology Practice.

Authors:  Pamala A Pawloski; Gabriel A Brooks; Matthew E Nielsen; Barbara A Olson-Bullis
Journal:  J Natl Compr Canc Netw       Date:  2019-04-01       Impact factor: 11.908

Review 6.  Clinical Decision Support Systems.

Authors:  Andreas Teufel; Harald Binder
Journal:  Visc Med       Date:  2021-09-28

7.  Evaluation of the effect of decision support on the efficiency of primary care providers in the outpatient practice.

Authors:  Kavishwar B Wagholikar; Ronald A Hankey; Lindsay K Decker; Stephen S Cha; Robert A Greenes; Hongfang Liu; Rajeev Chaudhry
Journal:  J Prim Care Community Health       Date:  2014-08-25

8.  Automated recommendation for cervical cancer screening and surveillance.

Authors:  Kavishwar B Wagholikar; Kathy L MacLaughlin; Petra M Casey; Thomas M Kastner; Michael R Henry; Ronald A Hankey; Steve G Peters; Robert A Greenes; Christopher G Chute; Hongfang Liu; Rajeev Chaudhry
Journal:  Cancer Inform       Date:  2014-10-15

9.  Evaluation of machine learning solutions in medicine.

Authors:  Tony Antoniou; Muhammad Mamdani
Journal:  CMAJ       Date:  2021-08-30       Impact factor: 8.262

Review 10.  The Effect of Higher Level Computerized Clinical Decision Support Systems on Oncology Care: A Systematic Review.

Authors:  Sosse E Klarenbeek; Harm H A Weekenstroo; J P Michiel Sedelaar; Jurgen J Fütterer; Mathias Prokop; Marcia Tummers
Journal:  Cancers (Basel)       Date:  2020-04-22       Impact factor: 6.639

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