Reference Architecture Frameworks for Chronic Disease Management Solutions
| dc.contributor.author | Tahsiniaraghi, Sara | |
| dc.contributor.supervisor | Roudsari, Abdul | |
| dc.contributor.supervisor | Kuo, Alex | |
| dc.date.accessioned | 2022-08-24T00:09:10Z | |
| dc.date.available | 2022-08-24T00:09:10Z | |
| dc.date.copyright | 2022 | en_US |
| dc.date.issued | 2022-08-23 | |
| dc.degree.department | School of Health Information Science | en_US |
| dc.degree.level | Master of Applied Science M.A.Sc. | en_US |
| dc.description.abstract | Background: Chronic diseases have beaten acute and infectious diseases as Canada's primary cause of illness, disability, and death. Considering the growing and aging population, chronic diseases are expected to climb in the short term. As a result, to achieve the best outcomes possible for those living with chronic diseases and minimize the cost burden on the health and social care systems, effective chronic disease management solutions are critical. Aim: This project aimed to establish a general reference architecture that offers guidelines, including the business processes and information required for developing the chronic disease management solutions as a white-label platform, prompting the quality and interoperability with existing e-health systems, low coupling, and reusability. Methods: The Department of Defense Architecture Framework (DODAF) and its suggested methodology were used to create the architecture descriptions, viewpoints, and models required for building our general reference architecture for chronic disease management solutions. Analysis was conducted based on PubMed articles published from 2002 to the present. The key terms used to filter the searches were “Chronic disease model,” “Chronic care model,” “Chronic disease management infostructure,” “Chronic disease management system,” or “Chronic disease management guidelines.” Outcomes: Based on the research study done around the chronic disease management guidelines, standards, care models, and infostructure, the following outcomes suggested by DODAF were built to shape the business and information architecture frameworks: capability model, operational activity model, conceptual data model, logical data model, and the maps between the capabilities, operational activities, and data entities. Conclusion: The development of a general reference business and information architecture frameworks targeting all chronic conditions will facilitate the development of future systems and services in the domain of chronic disease management through the advantages that come with the architecture-based modeling approach offered by this project such as capability-driven system development, interoperability, reusability, semantically unambiguous descriptions, and comprehensive specifications. | en_US |
| dc.description.scholarlevel | Graduate | en_US |
| dc.identifier.uri | http://hdl.handle.net/1828/14126 | |
| dc.language.iso | en | en_US |
| dc.rights | Available to the World Wide Web | en_US |
| dc.subject | Chronic Care Model | en_US |
| dc.subject | Chronic Disease Management System | en_US |
| dc.subject | Chronic Disease Management Infostructure | en_US |
| dc.subject | Chronic Disease Management Information Architecture Framework | en_US |
| dc.title | Reference Architecture Frameworks for Chronic Disease Management Solutions | en_US |
| dc.type | project | en_US |