Literature DB >> 11259884

Flexible guideline-based patient careflow systems.

S Quaglini1, M Stefanelli, G Lanzola, V Caporusso, S Panzarasa.   

Abstract

Workflow Management Systems integrate domain and organisational knowledge to support business processes. When applied to the medical environment, they can be termed "Careflow Management Systems", and may be used to manage care delivery by enhancing co-operation among healthcare professionals. This paper focuses on care delivery based on clinical practice guidelines. Healthcare organisations are very different from industrial or commercial companies: their main goal is not profit, but maintaining and improving the health of the public. Therefore, outcomes are difficult to measure. Firstly, physicians, while playing a variety of roles, are quite independent decision-makers; secondly, the object of the process, i.e. the patient, may be involved in choosing treatment options, and may be treated by different institutions. For these reasons, the standard functionality of typical Workflow Management Systems must be strongly enhanced in order to cope with healthcare delivery needs. A major issue is accounting for exceptions. In most non-clinical settings this is not a problem because processes are very well defined and can often be easily controlled by some higher authority. As explained above, this does not happen in healthcare organisations. Responsibilities are widely shared, and health care professionals may be non-compliant with guidelines for a variety of reasons. The paper presents a classification of possible exceptions, and shows how the sequence of tasks described by a guideline may be altered, at the implementation level, in order to meet actual user needs, while maintaining guideline intentions as much as possible. A terminology server is also exploited towards this end. This work illustrates a prototype of a Careflow Management System based on an international guideline for ischemic stroke treatment, developed by the American Heart Association.

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Mesh:

Year:  2001        PMID: 11259884     DOI: 10.1016/s0933-3657(00)00100-7

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  17 in total

1.  The helpful patient record system: problem oriented and knowledge based.

Authors:  Elisabeth Bayegan; Samson Tu
Journal:  Proc AMIA Symp       Date:  2002

2.  The InterMed approach to sharable computer-interpretable guidelines: a review.

Authors:  Mor Peleg; Aziz A Boxwala; Samson Tu; Qing Zeng; Omolola Ogunyemi; Dongwen Wang; Vimla L Patel; Robert A Greenes; Edward H Shortliffe
Journal:  J Am Med Inform Assoc       Date:  2003-10-05       Impact factor: 4.497

3.  On implementing clinical decision support: achieving scalability and maintainability by combining business rules and ontologies.

Authors:  Vipul Kashyap; Alfredo Morales; Tonya Hongsermeier
Journal:  AMIA Annu Symp Proc       Date:  2006

4.  A pattern-based analysis of clinical computer-interpretable guideline modeling languages.

Authors:  Nataliya Mulyar; Wil M P van der Aalst; Mor Peleg
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

5.  Commentaries on "Informatics and medicine: from molecules to populations".

Authors:  R B Altman; R Balling; J F Brinkley; E Coiera; F Consorti; M A Dhansay; A Geissbuhler; W Hersh; S Y Kwankam; N M Lorenzi; F Martin-Sanchez; G I Mihalas; Y Shahar; K Takabayashi; G Wiederhold
Journal:  Methods Inf Med       Date:  2008       Impact factor: 2.176

Review 6.  Formal representation of eligibility criteria: a literature review.

Authors:  Chunhua Weng; Samson W Tu; Ida Sim; Rachel Richesson
Journal:  J Biomed Inform       Date:  2009-12-23       Impact factor: 6.317

Review 7.  Computerization of workflows, guidelines, and care pathways: a review of implementation challenges for process-oriented health information systems.

Authors:  Phil Gooch; Abdul Roudsari
Journal:  J Am Med Inform Assoc       Date:  2011-07-01       Impact factor: 4.497

8.  Online treatment compliance checking for clinical pathways.

Authors:  Zhengxing Huang; Yurong Bao; Wei Dong; Xudong Lu; Huilong Duan
Journal:  J Med Syst       Date:  2014-08-23       Impact factor: 4.460

9.  Using recommendation to support adaptive clinical pathways.

Authors:  Zhengxing Huang; Xudong Lu; Huilong Duan
Journal:  J Med Syst       Date:  2011-01-05       Impact factor: 4.460

10.  A Design Methodology for Medical Processes.

Authors:  Simona Ferrante; Stefano Bonacina; Giuseppe Pozzi; Francesco Pinciroli; Sara Marceglia
Journal:  Appl Clin Inform       Date:  2016-03-30       Impact factor: 2.342

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