Literature DB >> 15953000

LISA: a web-based decision-support system for trial management of childhood acute lymphoblastic leukaemia.

Jonathan Bury1, Chris Hurt, Anindita Roy, Louise Cheesman, Mike Bradburn, Simon Cross, John Fox, Vaskar Saha.   

Abstract

Continuation chemotherapy is a key component of the treatment of childhood acute lymphoblastic leukaemia. During this treatment phase, weekly dose adjustments are carried out based on current and historical full blood counts (FBCs). The dose decision pathway is complex and suboptimal therapy may result if information on FBC results is not readily available and/or the prescriber is inexperienced. A web-based decision-support system (Leukaemia Intervention Scheduling and Advice, 'LISA') was designed to facilitate access to FBC information across geographical locations and to assist with dosage adjustments. A balanced-block crossover analysis was performed to evaluate the system. Thirty-six clinicians with varying degrees of experience were each asked to decide on appropriate oral chemotherapy dosages for eight simulated cases: four using LISA and four without. LISA significantly reduced the number of erroneous prescriptions (zero of 144 with LISA vs. 54 of 144 without; P < 0.0001) without affecting the number of times subjects deliberately overrode the protocol (seven of 144 times using LISA and six of 144 without). Using LISA reduced the time taken by novices to reach a decision for each case but increased the time taken by experts. Thirty-five of 36 subjects said they would be likely to use the system if it were available. A system like LISA is likely to be acceptable to clinicians, and has the potential to increase protocol compliance and decrease prescribing errors while allowing clinicians to override the protocol in specific cases where sound reasons exist for doing so.

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Year:  2005        PMID: 15953000     DOI: 10.1111/j.1365-2141.2005.05541.x

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  13 in total

Review 1.  Computerized clinical decision support for prescribing: provision does not guarantee uptake.

Authors:  Annette Moxey; Jane Robertson; David Newby; Isla Hains; Margaret Williamson; Sallie-Anne Pearson
Journal:  J Am Med Inform Assoc       Date:  2010 Jan-Feb       Impact factor: 4.497

2.  From practice guidelines to clinical decision support: closing the loop.

Authors:  John Fox; Vivek Patkar; Ioannis Chronakis; Richard Begent
Journal:  J R Soc Med       Date:  2009-11       Impact factor: 5.344

3.  A generic system for critiquing physicians' prescriptions: usability, satisfaction and lessons learnt.

Authors:  Jean-Baptiste Lamy; Vahid Ebrahiminia; Brigitte Seroussi; Jacques Bouaud; Christia Simon; Madeleine Favre; Hector Falcoff; Alain Venot
Journal:  Stud Health Technol Inform       Date:  2011

4.  Compliance with a protocol for acute lymphoblastic leukemia in childhood.

Authors:  Benigna Maria de Oliveira; Maria Thereza Macedo Valadares; Marcilene Rezende Silva; Marcos Borato Viana
Journal:  Rev Bras Hematol Hemoter       Date:  2011

5.  Evidence-based guidelines and decision support services: A discussion and evaluation in triple assessment of suspected breast cancer.

Authors:  V Patkar; C Hurt; R Steele; S Love; A Purushotham; M Williams; R Thomson; J Fox
Journal:  Br J Cancer       Date:  2006-11-21       Impact factor: 7.640

6.  Use of a computerised decision aid (DA) to inform the decision process on adjuvant chemotherapy in patients with stage II colorectal cancer: development and preliminary evaluation.

Authors:  A Miles; I Chronakis; J Fox; A Mayer
Journal:  BMJ Open       Date:  2017-03-24       Impact factor: 2.692

Review 7.  OpenClinical.net: Artificial intelligence and knowledge engineering at the point of care.

Authors:  John Fox; Matthew South; Omar Khan; Catriona Kennedy; Peter Ashby; John Bechtel
Journal:  BMJ Health Care Inform       Date:  2020-07

Review 8.  Application of biomedical informatics to chronic pediatric diseases: a systematic review.

Authors:  Fatemeh Moeinedin; Rahim Moineddin; Alejandro R Jadad; Jemila S Hamid; Teresa To; Joseph Beyene
Journal:  BMC Med Inform Decis Mak       Date:  2009-05-05       Impact factor: 2.796

9.  Uptake of a web-based oncology protocol system: how do cancer clinicians use eviQ cancer treatments online?

Authors:  Julia M Langton; Nicole Pesa; Shelley Rushton; Robyn L Ward; Sallie-Anne Pearson
Journal:  BMC Cancer       Date:  2013-03-12       Impact factor: 4.430

10.  Guideline-based Clinical Decision Support Systems as an Inseparable Tool for Better Cancer Care Management.

Authors:  Leila Shahmoradi; Ahmad Reza Farzanehnejad; Goli Arji
Journal:  Iran J Public Health       Date:  2016-07       Impact factor: 1.429

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