AI Article Synopsis
Article Abstract
Background: Implementing a decision-support system within a healthcare organization requires integration of clinical domain knowledge with resource constraints. Computer-interpretable guidelines (CIG) are excellent instruments for addressing clinical aspects while business process management (BPM) languages and Workflow (Wf) engines manage the logistic organizational constraints.
Objectives: Our objective is the orchestration of all the relevant factors needed for a successful execution of patient's care pathways, especially when spanning the continuum of care, from acute to community or home care.
Methods: We considered three strategies for integrating CIGs with organizational workflows: extending the CIG or BPM languages and their engines, or creating an interplay between them. We used the interplay approach to implement a set of use cases arising from a CIG implementation in the domain of Atrial Fibrillation. To provide a more scalable and standards-based solution, we explored the use of Cross-Enterprise Document Workflow Integration Profile.
Results: We describe our proof-of-concept implementation of five use cases. We utilized the Personal Health Record of the MobiGuide project to implement a loosely-coupled approach between the Activiti BPM engine and the Picard CIG engine. Changes in the PHR were detected by polling. IHE profiles were used to develop workflow documents that orchestrate cross-enterprise execution of cardioversion.
Conclusions: Interplay between CIG and BPM engines can support orchestration of care flows within organizational settings.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3414/ME16-01-0006 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Distributed application of guideline-based decision support through mobile devices: Implementation and evaluation.
Artif Intell Med
July 2022
The Medical Informatics Research Center, Department of Software and Information System Engineering, Ben Gurion University of the Negev, Israel. Electronic address:
Background: Traditionally guideline (GL)-based Decision Support Systems (DSSs) use a centralized infrastructure to generate recommendations to care providers, rather than to patients at home. However, managing patients at home is often preferable, reducing costs and empowering patients. Thus, we wanted to explore an option in which patients, in particular chronic patients, might be assisted by a local DSS, which interacts as needed with the central DSS engine, to manage their disease outside the standard clinical settings.
View Article and Find Full Text PDFPoor patient compliance to therapy results in a worsening condition that often increases healthcare costs. In the MobiGuide project, we developed an evidence-based clinical decision-support system that delivered personalized reminders and recommendations to patients, helping to achieve higher therapy compliance. Yet compliance could still be improved and therefore building on the MobiGuide project experience, we designed a new component called the Motivational Patient Assistant (MPA) that is integrated within the MobiGuide architecture to further improve compliance.
View Article and Find Full Text PDFTrusting telemedicine: A discussion on risks, safety, legal implications and liability of involved stakeholders.
Int J Med Inform
April 2018
Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy; Interdepartmental Centre for Health Technologies, University of Pavia, Italy.
Objectives: The main purpose of the article is to raise awareness among all the involved stakeholders about the risks and legal implications connected to the development and use of modern telemedicine systems. Particular focus is given to the class of "active" telemedicine systems, that imply a real-world, non-mediated, interaction with the final user. A secondary objective is to give an overview of the European legal framework that applies to these systems, in the effort to avoid defensive medicine practices and fears, which might be a barrier to their broader adoption.
View Article and Find Full Text PDFGestational Diabetes Management Using Smart Mobile Telemedicine.
J Diabetes Sci Technol
March 2018
2 Bioengineering and Telemedicine Centre, Universidad Politécnica de Madrid, Madrid, Spain.
Gestational diabetes (GDM) burden has been increasing progressively over the past years. Knowing that intrauterine exposure to maternal diabetes confers high risk for macrosomia as well as for future type 2 diabetes and obesity of the offspring, health care organizations try to provide effective control in spite of the limited resources. Artificial-intelligence-augmented telemedicine has been proposed as a helpful tool to facilitate an efficient widespread medical assistance to GDM.
View Article and Find Full Text PDFAssessment of a personalized and distributed patient guidance system.
Int J Med Inform
May 2017
University of Twente, 7500 AE, Enschede, The Netherlands.
Objectives: The MobiGuide project aimed to establish a ubiquitous, user-friendly, patient-centered mobile decision-support system for patients and for their care providers, based on the continuous application of clinical guidelines and on semantically integrated electronic health records. Patients would be empowered by the system, which would enable them to lead their normal daily lives in their regular environment, while feeling safe, because their health state would be continuously monitored using mobile sensors and self-reporting of symptoms. When conditions occur that require medical attention, patients would be notified as to what they need to do, based on evidence-based guidelines, while their medical team would be informed appropriately, in parallel.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!