View clinical trials related to Decision Support System.
Filter by:Goal directed fluid therapy (GDFT) or "Personalized fluid therapy" may benefit high-risk surgical patients but these strategies are infrequently implemented. It has also been shown that without any goal or protocol for fluid resuscitation, large inter- and intra-provider variability exist that have been correlated with poor patient outcomes. Recently, an "Assisted Fluid Management" (AFM) system has been developed to help ease some of the work associated with GDFT protocol implementation. The AFM system may help increase GDFT protocol adherence while leaving direction and guidance in the hands of the care providers. This artificial intelligence-based system can suggest administration of fluid boluses, analyse the hemodynamic effects of the bolus, and continually re-assess the patient for further fluid requirements. To date, there are no large outcome study using this AFM system. The primary objective of this trial is thus to evaluate the impact of this AFM system to guide fluid bolus administration on a composite of major postoperative complications in high-risk patients undergoing high-risk abdominal surgery.
This study evaluates the effects of an electronic patient decision support system developed for the use of patients with type 2 diabetes (DiaPaDeSS) on self-management, patient activation, and metabolic parameters. To manage type 2 diabetes after discharge, patients must continue to perform interventions at home, such as blood glucose monitoring, blood pressure measurement, weight measurement, medication use, and foot care. To achieve this, patient's self-management and activation levels should be increased. This can also lead to positive improvements in the metabolic parameters. It would be beneficial to develop DiaPaDeSS that can increase the self-management and activation levels of patients with type 2 diabetes. The investigators will develop the DiaPaDeSS intervention protocol. Our content includes patient education information about type 2 diabetes, self-management practice tasks (daily, weekly, quarterly), a type 2 diabetes patient education program according to DiaPaDeSS algorithms, and measurement questionnaires. The content of the DiaPaDeSS will be evaluated by 10 experts in the fields of medicine, nursing, and informatics. A feasibility test with seven patients will be conducted to evaluate the usability of DiaPaDeSS. A single-blind, randomized controlled trial design will be used. Patients with type 2 diabetes will be pretested and randomized (intervention 36, control 36) to the DiaPaDeSS intervention and control groups. Both the DiaPaDeSS intervention and control groups will use the DiaPaDeSS for three months. While participants in the DiaPaDeSS intervention group can reach all contents of the DiaPaDeSS, others can reach only these fields: self-management practice tasks (daily, weekly, quarterly), and measurements questionnaires. The effectiveness of the DiaPaDeSS will be evaluated at baseline and at month 3.
This study aims to evaluate the effect of the decision support system developed for symptom self-management on symptom management, quality of life, and unplanned hospital admissions in Non-Hodgkin lymphoma (NHL) patients. Since NHL patients often experience disease and treatment-related side effects after discharge from the hospital, it would be beneficial to develop web-based decision support systems that can support symptom management at home. A mobile-compatible symptom self-management decision support system will be developed and tested with five patients, based on the needs of NHL patients, evidence-based guidelines, and expert opinions. A randomized controlled trial design with a single-blind and active control group will be applied. NHL patients will be pretested and randomized (intervention: 26, control: 26). The intervention group will use the decision support system developed for symptom self-management for three months. The researchers will share their phone numbers with the patients and be contacted via the 24/7 contact button or the phone. The effectiveness of the decision support system developed for symptom self-management is planned to be evaluated at the beginning and after 12 weeks.
The purpose of this study was to examine preliminary effect of Computer-assisted Psychosocial Risk Assessment tool (CaPRA) among Afghan refugees visiting medical professionals (family physicians or nurse practitioners) at a Community Health Center. The investigators examined the tool's acceptability among patients and its impact on patient satisfaction and patient intention to visit a psychosocial counselor as a proxy of potential to integrate medical and social care.