Clinical Processes in an Innovative Vascular Surgeon Community. Implications for Workflow Modeling

OBJECTIVE To identify factors influencing variations in clinical work in the care of patients with abdominal aortic aneurism. METHOD Ethnographic observations of 26 meetings between surgeons and patients in two community hospitals and one university hospital. Observations data were abstracted into scenarios that describe the typical clinical workflow. Characterizations of features of the scenarios were performed. RESULTS When comparing the university hospital and the community hospitals we find large variations in patient trajectories, and in the relation between actors' and roles. CONCLUSION Given a clinical domain distinguished by an unrelenting search for new and improved surgical techniques, workflow system requirements should reflect that healthcare planning not only is conducted with the purpose of providing care but also with purpose of developing new or maintaining existing surgical skills.

[1]  Inger Dybdahl Sørby,et al.  Characterising cooperation in the ward: framework for producing requirements to mobile electronic healthcare records , 2006 .

[2]  Evar Trial Participants Endovascular aneurysm repair and outcome in patients unfit for open repair of abdominal aortic aneurysm (EVAR trial 2): randomised controlled trial , 2005, The Lancet.

[3]  Øystein Nytrø,et al.  Empirical Grounding of Guideline Implementation in Cooperative Clinical Care Situations , 2007 .

[4]  Peter L. Elkin Understanding Medical Information: A User's Guide to Informatics and Decision Making , 2002 .

[5]  P. Shekelle,et al.  Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care , 2006, Annals of Internal Medicine.

[6]  P Taylor,et al.  From Patient Data to Medical Knowledge , 2006 .

[7]  Richard D. Weisel,et al.  Clinical Decision Making for Endovascular Repair of Abdominal Aortic Aneurysm , 2004, Circulation.

[8]  M Stefanelli,et al.  Clinical guidelines as plans--an ontological theory. , 2006, Methods of information in medicine.

[9]  H. Mcdonald,et al.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.

[10]  Silvana Quaglini,et al.  Guideline-based careflow systems , 2000, Artif. Intell. Medicine.

[11]  Silvana Quaglini,et al.  Evidence-based careflow management systems: the case of post-stroke rehabilitation , 2002, J. Biomed. Informatics.