This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1328) Design of Processes and Workflows (86) Diabetes Health Services and System Innovations (104)

Published on in Vol 20, No 4 (2018): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8884, first published .
Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining

Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining

Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining

Authors of this article:

Tania Conca1 Author Orcid Image ;   Cecilia Saint-Pierre1 Author Orcid Image ;   Valeria Herskovic1 Author Orcid Image ;   Marcos Sepúlveda1 Author Orcid Image ;   Daniel Capurro2 Author Orcid Image ;   Florencia Prieto3 Author Orcid Image ;   Carlos Fernandez-Llatas4 Author Orcid Image
Article Authors Cited by (38) Tweetations (18) Metrics

Journals

  1. 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 View
  2. 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 View
  3. 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 View
  4. 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 View
  5. Durojaiye A, Levin S, Toerper M, Kharrazi H, Lehmann H, Gurses A. Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data. Journal of the American Medical Informatics Association 2019;26(6):506 View
  6. 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 View
  7. Helm E, Lin A, Baumgartner D, Lin A, 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 View
  8. 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 View
  9. 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 View
  10. 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 View
  11. 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 View
  12. 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 View
  13. Dallagassa M, dos Santos Garcia C, Scalabrin E, Ioshii S, Carvalho D. Opportunities and challenges for applying process mining in healthcare: a systematic mapping study. Journal of Ambient Intelligence and Humanized Computing 2022;13(1):165 View
  14. Abdulrhim S, Sankaralingam S, Ibrahim M, Diab M, Hussain M, Al Raey H, Ismail M, 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) View
  15. 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 View
  16. Theis J, Galanter W, Boyd A, 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 View
  17. Tsai E, Tintu A, Boucherie R, de Rijke Y, Schotman H, Demirtas D. Characterization of Laboratory Flow and Performance for Process Improvements via Application of Process Mining. Applied Clinical Informatics 2023;14(01):144 View
  18. 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) View
  19. Abdulrhim S, Awaisu A, Ibrahim M, Diab M, Hussain M, Al Raey H, Ismail M, 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 View
  20. 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 View
  21. 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) View
  22. van Hulzen G, Li C, Martin N, van Zelst S, Depaire B. Mining context-aware resource profiles in the presence of multitasking. Artificial Intelligence in Medicine 2022;134:102434 View
  23. 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 View
  24. Munoz-Gama J, Martin N, Fernandez-Llatas C, Johnson O, Sepúlveda M, Helm E, Galvez-Yanjari V, Rojas E, Martinez-Millana A, Aloini D, Amantea I, 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 H, Prima Kurniati A, Lu X, Mannhardt F, Mans R, Marcos M, Medeiros de Carvalho R, Pegoraro M, Poon S, Pufahl L, Reijers H, Remy S, Rinderle-Ma S, Sacchi L, Seoane F, Song M, Stefanini A, Sulis E, ter Hofstede A, Toussaint P, Traver V, Valero-Ramon Z, Weerd I, van der Aalst W, Vanwersch R, Weske M, Wynn M, Zerbato F. Process mining for healthcare: Characteristics and challenges. Journal of Biomedical Informatics 2022;127:103994 View
  25. 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 View
  26. 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 View
  27. 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 View
  28. Kodweis K, Allen R, Deschamp E, Bihl A, LeVine D, Hall E. 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 View
  29. Pi-Rusiñol R, Verhagen E, Blanc M, Rodas Font G. Process mining to investigate the relationship between clinical antecedents and injury risk, severity and return to play in professional sports. BMJ Open Sport & Exercise Medicine 2024;10(2):e001890 View

Books/Policy Documents

  1. Helm E, Lin A, Baumgartner D, Lin A, Küng J. Business Process Management Workshops. View
  2. 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. View
  3. Valero-Ramon Z, Fernandez-Llatas C, Martinez-Millana A, Traver V. Advanced Computational Intelligence in Healthcare-7. View
  4. Fernandez-Llatas C, Marcos M. Interactive Process Mining in Healthcare. View
  5. Fernandez-Llatas C. Interactive Process Mining in Healthcare. View
  6. Lull J, Dogan O, Celda A, Mandingorra J, Lemus L, Pla M, Urchueguía J, Ibanez-Sanchez G, Traver V, Fernandez-Llatas C. Process Mining Workshops. View