Patient-tailored Workflow Patterns from Clinical Practice Guidelines Recommendations

被引:8
作者
Sacchi, Lucia [1 ]
Fux, Adi [2 ]
Napolitano, Carlo [3 ]
Panzarasa, Silvia [1 ]
Peleg, Mor [2 ]
Quaglini, Silvana [1 ]
Shalom, Erez [4 ]
Soffer, Pnina [2 ]
Tormene, Paolo [1 ]
机构
[1] Univ Pavia, Dipartimento Ingn Ind & Informaz, Via Ferrata 1, I-27100 Pavia, Italy
[2] Univ Haifa, Dept Informat Syst, Haifa, Israel
[3] IRCCS Fdn Salvatore Maugeri, Pavia, Italy
[4] Ben Gurion Univ Negev, Dept Informat Syst Engn, Negev, Israel
来源
MEDINFO 2013: PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2 | 2013年 / 192卷
关键词
Clinical practice guidelines; patient-centric care; decision support system; CARE;
D O I
10.3233/978-1-61499-289-9-392
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
MobiGuide is a project devoted to the development of a patient-centric decision support system based on computerized clinical guidelines for chronic illnesses including Atrial Fibrillation (AF). In this paper we describe the process of (1) identifying guideline recommendations that will require patients to take actions (e.g., take measurement, take drug), thus impacting patients' daily-life behavior, (2) eliciting from the medical experts the corresponding set of personalized operationalized advices that are not explicitly written in the guideline (patient-tailored workflow patterns) and (3) delivering this advice to patients. The analysis of the AF guideline has resulted in four types of patient-tailored workflow patterns: therapy-related advisors, measurements advisors, suggestions for dealing with interventions that may require modulating patient therapy, and personalized packages for close monitoring of patients. We will show how these patterns can be generated using information stored in a patient health record that embeds clinical data and data about the patient's personal context and preferences.
引用
收藏
页码:392 / 396
页数:5
相关论文
共 11 条
[1]   A knowledge creation info-structure to acquire and crystallize the tacit knowledge of health-care experts [J].
Abidi, SSR ;
Cheah, YN ;
Curran, J .
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2005, 9 (02) :193-204
[2]  
[Anonymous], 1995, The Knowledge Creating
[3]  
[Anonymous], GRADING EVIDENCE REC
[4]  
de Vries H, 1999, PATIENT EDUC COUNS, V36, P99
[5]   2011 ACCF/AHA/HRS Focused Updates Incorporated into the ACC/AHA/ESC 2006 Guidelines for the Management of Patients with Atrial Fibrillation [J].
Fuster, Valentin ;
Ryden, Lars E. ;
Cannom, Davis S. ;
Crijns, Harry J. ;
Curtis, Anne B. ;
Ellenbogen, Kenneth A. ;
Halperin, Jonathan L. ;
Kay, G. Neal ;
Le Huezey, Jean-Yves ;
Lowe, James E. ;
Olsson, S. Bertil ;
Prystowsky, Eric N. ;
Tamargo, Juan Luis ;
Wann, L. Samuel .
CIRCULATION, 2011, 123 (10) :E269-E367
[6]   Automated generation of patient-tailored electronic care pathways by translating computer-interpretable guidelines into hierarchical task networks [J].
Gonzalez-Ferrer, Arturo ;
ten Teije, Annette ;
Fdez-Olivares, Juan ;
Milian, Krystyna .
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2013, 57 (02) :91-109
[7]   Medication adherence: emerging use of technology [J].
Granger, Bradi B. ;
Bosworth, Hayden B. .
CURRENT OPINION IN CARDIOLOGY, 2011, 26 (04) :279-287
[8]   From best evidence to best practice: effective implementation of change in patients' care [J].
Grol, R ;
Grimshaw, J .
LANCET, 2003, 362 (9391) :1225-1230
[9]   Customer-Centered Careflow Modeling Based on Guidelines [J].
Huang, Biqing ;
Zhu, Peng ;
Wu, Cheng .
JOURNAL OF MEDICAL SYSTEMS, 2012, 36 (05) :3307-3319
[10]  
Jones B, 2005, P ANN INT C SYS SCI