Published on 10.04.18 in Vol 20, No 4 (2018): April
Works citing "Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.8884):
(note that this is only a small subset of citations)
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Ibanez-Sanchez G, Fernandez-Llatas C, Martinez-Millana A, Celda A, Mandingorra J, Aparici-Tortajada L, Valero-Ramon Z, Munoz-Gama J, Sepúlveda M, Rojas E, Gálvez V, Capurro D, Traver V. Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case. International Journal of Environmental Research and Public Health 2019;16(10):1783
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Saint-Pierre C, Prieto F, Herskovic V, Sepulveda M. Team Collaboration Networks and Multidisciplinarity in Diabetes Care: Implications for Patient Outcomes. IEEE Journal of Biomedical and Health Informatics 2020;24(1):319
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Dogan O, Bayo-Monton J, Fernandez-Llatas C, Oztaysi B. Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application. Sensors 2019;19(3):557
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Saint-Pierre C, Prieto F, Herskovic V, Sepúlveda M. Relationship between Continuity of Care in the Multidisciplinary Treatment of Patients with Diabetes and Their Clinical Results. Applied Sciences 2019;9(2):268
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Durojaiye AB, Levin S, Toerper M, Kharrazi H, Lehmann HP, Gurses AP. Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data. Journal of the American Medical Informatics Association 2019;26(6):506
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Peltonen J, Leino-Kilpi H, Heikkilä H, Rautava P, Tuomela K, Siekkinen M, Sulosaari V, Stolt M. Instruments measuring interprofessional collaboration in healthcare – a scoping review. Journal of Interprofessional Care 2020;34(2):147
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Helm E, Lin AM, Baumgartner D, Lin AC, Küng J. Towards the Use of Standardized Terms in Clinical Case Studies for Process Mining in Healthcare. International Journal of Environmental Research and Public Health 2020;17(4):1348
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Doe S, Petersen S, Buekers T, Swain M. Does a Multidisciplinary Approach to Invasive Breast Cancer Care Improve Time to Treatment and Patient Compliance?. Journal of the National Medical Association 2020;112(3):268
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Valero-Ramon Z, Fernandez-Llatas C, Valdivieso B, Traver V. Dynamic Models Supporting Personalised Chronic Disease Management through Healthcare Sensors with Interactive Process Mining. Sensors 2020;20(18):5330
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Alvarez C, Saint-Pierre C, Herskovic V, Sepúlveda M, Prieto F. Analysis of the relationship between treatment networks and the evolution of patients with Type 2 Diabetes Mellitus. Journal of Biomedical Informatics 2020;108:103497
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Dogan O, Martinez-Millana A, Rojas E, Sepúlveda M, Munoz-Gama J, Traver V, Fernandez-Llatas C. Individual Behavior Modeling with Sensors Using Process Mining. Electronics 2019;8(7):766
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Alvarez C, Saint-Pierre C, Herskovic V, Sepúlveda M. Analysis of the Relationship between the Referral and Evolution of Patients with Type 2 Diabetes Mellitus. International Journal of Environmental Research and Public Health 2018;15(7):1534
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Dallagassa MR, dos Santos Garcia C, Scalabrin EE, Ioshii SO, Carvalho DR. Opportunities and challenges for applying process mining in healthcare: a systematic mapping study. Journal of Ambient Intelligence and Humanized Computing 2022;13(1):165
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Abdulrhim S, Sankaralingam S, Ibrahim MIM, Diab MI, Hussain MAM, Al Raey H, Ismail MT, Awaisu A. Collaborative care model for diabetes in primary care settings in Qatar: a qualitative exploration among healthcare professionals and patients who experienced the service. BMC Health Services Research 2021;21(1)
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Puschel K, León A, Arancibia V, Aubel P, Velásquez Eng C, Sáez Ps S, Vinés E, Thompson B, Are C. The interdisciplinary and psychosocial gap in cancer survivorship: A longitudinal study in a Latin American Cancer Center. Journal of Surgical Oncology 2021;124(5):876
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Theis J, Galanter WL, Boyd AD, Darabi H. Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture. IEEE Journal of Biomedical and Health Informatics 2022;26(1):388
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Tsai ER, Tintu AN, Boucherie RJ, de Rijke YB, Schotman HH, Demirtas D. Characterization of Laboratory Flow and Performance for Process Improvements via Application of Process Mining. Applied Clinical Informatics 2023;14(01):144
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Manktelow M, Iftikhar A, Bucholc M, McCann M, O’Kane M. Clinical and operational insights from data-driven care pathway mapping: a systematic review. BMC Medical Informatics and Decision Making 2022;22(1)
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Abdulrhim S, Awaisu A, Ibrahim MIM, Diab MI, Hussain MAM, Al Raey H, Ismail MT, Sankaralingam S. Impact of pharmacist-involved collaborative care on diabetes management in a primary healthcare setting using real-world data. International Journal of Clinical Pharmacy 2022;44(1):153
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North S, Crofts C, Zinn C. Health professionals' views and experiences around the dietary and lifestyle management of gestational diabetes in New Zealand. Nutrition & Dietetics 2022;79(2):255
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Guzzo A, Rullo A, Vocaturo E. Process mining applications in the healthcare domain: A comprehensive review. WIREs Data Mining and Knowledge Discovery 2022;12(2)
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van Hulzen GA, Li C, Martin N, van Zelst SJ, Depaire B. Mining context-aware resource profiles in the presence of multitasking. Artificial Intelligence in Medicine 2022;134:102434
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Pecoraro F, Luzi D. Using Unified Modeling Language to Analyze Business Processes in the Delivery of Child Health Services. International Journal of Environmental Research and Public Health 2022;19(20):13456
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Munoz-Gama J, Martin N, Fernandez-Llatas C, Johnson OA, Sepúlveda M, Helm E, Galvez-Yanjari V, Rojas E, Martinez-Millana A, Aloini D, Amantea IA, Andrews R, Arias M, Beerepoot I, Benevento E, Burattin A, Capurro D, Carmona J, Comuzzi M, Dalmas B, de la Fuente R, Di Francescomarino C, Di Ciccio C, Gatta R, Ghidini C, Gonzalez-Lopez F, Ibanez-Sanchez G, Klasky HB, Prima Kurniati A, Lu X, Mannhardt F, Mans R, Marcos M, Medeiros de Carvalho R, Pegoraro M, Poon SK, Pufahl L, Reijers HA, Remy S, Rinderle-Ma S, Sacchi L, Seoane F, Song M, Stefanini A, Sulis E, ter Hofstede AH, Toussaint PJ, Traver V, Valero-Ramon Z, Weerd IVD, van der Aalst WM, Vanwersch R, Weske M, Wynn MT, Zerbato F. Process mining for healthcare: Characteristics and challenges. Journal of Biomedical Informatics 2022;127:103994
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De Roock E, Martin N. Process mining in healthcare – An updated perspective on the state of the art. Journal of Biomedical Informatics 2022;127:103995
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Valero-Ramon Z, Fernandez-Llatas C, Collantes G, Valdivieso B, Billis A, Bamidis P, Traver V. Analytical exploratory tool for healthcare professionals to monitor cancer patients’ progress. Frontiers in Oncology 2023;12
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Chen K, Abtahi F, Carrero J, Fernandez-Llatas C, Seoane F. Process mining and data mining applications in the domain of chronic diseases: A systematic review. Artificial Intelligence in Medicine 2023;144:102645
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Kodweis KR, Allen RB, Deschamp EI, Bihl AT, LeVine DA, Hall EA. Impact of student-run clinic participation on empathy and interprofessional skills development in medical and pharmacy students. Exploratory Research in Clinical and Social Pharmacy 2023;11:100306
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.8884):
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Helm E, Lin AM, Baumgartner D, Lin AC, Küng J. Business Process Management Workshops. 2019. Chapter 49:608
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Fernandez-Llatas C, Ibanez-Sanchez G, Celda A, Mandingorra J, Aparici-Tortajada L, Martinez-Millana A, Munoz-Gama J, Sepúlveda M, Rojas E, Gálvez V, Capurro D, Traver V. Business Process Management Workshops. 2019. Chapter 17:214
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Valero-Ramon Z, Fernandez-Llatas C, Martinez-Millana A, Traver V. Advanced Computational Intelligence in Healthcare-7. 2020. Chapter 4:45
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Fernandez-Llatas C, Marcos M. Interactive Process Mining in Healthcare. 2021. Chapter 3:27
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. Interactive Process Mining in Healthcare. 2021. Chapter 8:119
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Lull JJ, Dogan O, Celda A, Mandingorra J, Lemus L, Pla MM, Urchueguía JF, Ibanez-Sanchez G, Traver V, Fernandez-Llatas C. Process Mining Workshops. 2021. Chapter 28:368
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