ArticleJournal of medical Internet research2018
Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining.
Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical and operational insights from data-driven care pathway mapping: a systematic review.BMC medical informatics and decision making · 2022Pooled it
- Machine Learning in Primary Health Care: The Research Landscape.Healthcare (Basel, Switzerland) · 2025Review
- Mapping of care pathways in pediatric and adult palliative care in Spain: A case study.Palliative & supportive care · 2025Article
- Recent advances in natural polysaccharides for type 2 diabetes management: sources, structural characteristics, and mechanistic insights.Frontiers in pharmacology · 2025Review
- 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 · 2024Article
- Impact of student-run clinic participation on empathy and interprofessional skills development in medical and pharmacy students.Exploratory research in clinical and social pharmacy · 2023Article
- Diabetes mellitus research in Saudi Arabia: A bibliometric study (2010-2021).Journal of family medicine and primary care · 2023Review
- Characterization of Laboratory Flow and Performance for Process Improvements via Application of Process Mining.Applied clinical informatics · 2023Article
- Using Unified Modeling Language to Analyze Business Processes in the Delivery of Child Health Services.International journal of environmental research and public health · 2022Article
- Impact of pharmacist-involved collaborative care on diabetes management in a primary healthcare setting using real-world data.International journal of clinical pharmacy · 2022Article
- Analytical exploratory tool for healthcare professionals to monitor cancer patients' progress.Frontiers in oncology · 2022Article
- 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 · 2021Article
- Dynamic Models Supporting Personalised Chronic Disease Management through Healthcare Sensors with Interactive Process Mining.Sensors (Basel, Switzerland) · 2020Article
- Does a Multidisciplinary Approach to Invasive Breast Cancer Care Improve Time to Treatment and Patient Compliance?Journal of the National Medical Association · 2020Article
- Towards the Use of Standardized Terms in Clinical Case Studies for Process Mining in Healthcare.International journal of environmental research and public health · 2020Article
- Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case.International journal of environmental research and public health · 2019Article
- Patterns of healthcare seeking behavior among persons with diabetes in Central India: A mixed method study.Journal of family medicine and primary care · 2019Article
- Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application.Sensors (Basel, Switzerland) · 2019Article
- Analysis of the Relationship between the Referral and Evolution of Patients with Type 2 Diabetes Mellitus.International journal of environmental research and public health · 2018Observational
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPublic health in several countries is characterized by a shortage of professionals and a lack of economic resources. Monitoring and redesigning processes can foster the success of health care institutions, enabling them to provide a quality service while simultaneously reducing costs. Process mining, a discipline that extracts knowledge from information system data to analyze operational processes, affords an opportunity to understand health care processes.
objectiveHealth care processes are highly flexible and multidisciplinary, and health care professionals are able to coordinate in a variety of different ways to treat a diagnosis. The aim of this work was to understand whether the ways in which professionals coordinate their work affect the clinical outcome of patients.
methodsThis paper proposes a method based on the use of process mining to identify patterns of collaboration between physician, nurse, and dietitian in the treatment of patients with type 2 diabetes mellitus and to compare these patterns with the clinical evolution of the patients within the context of primary care. Clustering is used as part of the preprocessing of data to manage the variability, and then process mining is used to identify patterns that may arise.
resultsThe method is applied in three primary health care centers in Santiago, Chile. A total of seven collaboration patterns were identified, which differed primarily in terms of the number of disciplines present, the participation intensity of each discipline, and the referrals between disciplines. The pattern in which the three disciplines participated in the most equitable and comprehensive manner had a lower proportion of highly decompensated patients compared with those patterns in which the three disciplines participated in an unbalanced manner.
conclusionsBy discovering which collaboration patterns lead to improved outcomes, health care centers can promote the most successful patterns among their professionals so as to improve the treatment of patients. Process mining techniques are useful for discovering those collaborations patterns in flexible and unstructured health care processes.
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