ABSTRACT
This research deals with the tele-rehabilitation service for children with disabilities in a post-Covid-19 era. There has been a boom with new working models and adaptation to new challenges and experiences of professionals in rehabilitation therapies. With such services as the most effective way to treat psychomotor deficits in children with disabilities, Rehabilitation Centers have reconfigured their planning by offering hybrid care, but there is a lack of integration of ICT for the delivery of these services through agile approaches. Under an Action-Design methodology, a survey was designed and applied to therapists from five Rehabilitation Centers in Mexico;focused on knowing four relevant aspects: Rehabilitation Teleworking;ICT in therapeutic activity;Communication between parents and Rehabilitation centers;and Patients. From the result, it can be inferred that there is a high level of interest at THE initial education in technological training and a need for higher quality stimulation tools and resources.
ABSTRACT
In diabetes, obtaining optimal control is key to reducing chronic complications. Unfortunately, not all patients achieve the recommended goals. Therefore, the challenges to develop and evaluate comprehensive care models are enormous. In October 2008, the Diabetic Patient Care Program (DiabetIMSS) was designed and implemented in family medicine. Its principal component is the multidisciplinary team (doctor, nurse, psychologist, dietitian, dentist, and social worker) that offers coordinated health care;monthly medical consultation and individual, family and group education on self-care and prevention of complications for 12 months. Due to the COVID-19 pandemic, the percentage of attendance at the DiabetIMSS modules decreased significantly. This is how the Medical Director considered it necessary to strengthen them, and the Diabetes Care Centers (CADIMSS) arose. In addition to providing medical care with a comprehensive and multidisciplinary approach, the CADIMSS encourages the co-responsibility of the patient and his family. It consists of monthly medical consultation and nursing staff provides monthly educational sessions for 6 months. Pending tasks remain and there are still areas of opportunity to modernize and reorganize services that contribute to improving the health of the population with diabetes. Copyright © 2023 Revista Medica del Instituto Mexicano del Seguro Social.
ABSTRACT
This article presents a selective literature review of Analytics Intelligent Decision Technologies Systems (Analytics IDTS) developed to support decision-making in business and public organizations, with a particular focus on the global COVID-19 pandemic. We select Analytics IDTS published in 2019-2020 and evaluate them with an Analytics IDTS Design and Evaluation Framework. We include the types of Analytics IDTS, their decisional services, architectural capabilities, and support for phases in the decision-making process. Results are shown for 33 articles in the general Analytics domain and 71 articles in the focused Public Health domain applied to COVID-19, including how these Analytics IDTS were architected and utilized for decision making. Research in descriptive and predictive models is evident in Public Health COVID-19 research reflecting the lak of knowledge about the disease, while predictive and prescriptive models are the primary focus of the general Analytics domain. IDTS in all disciplines rely on Algorithmic decision services and Heuristic Analysis services. Higher-level decisional Synthesis and Hybrid services such as design, explanations, discovery, and learning associated with human decision-making are missing in most types of decision support, indicating that research in Machine Learning and AI has many growth opportunities for future research.