View clinical trials related to Medical Informatics.
Filter by:The goal of this clinical trial is to test giving all medical/non-medical information in the pediatric emergency room(ER). Main questions it aims to answer are: - Does providing medical/non-medical information to parents of patients visiting the emergency room raise the satisfaction with the ER visit? - Does providing medical/non-medical information to parents of patients visiting the emergency room lower the workload of medical staff? 60 participants will be randomly assigned to treatment group and control group. Both groups will communicate freely with the researchers through mobile chat service. Treatment group will get information of medical/non-medical information in emergency room and control group will get information if they need. Before leaving the emergency room, both group will fill out a questionnaire related to satisfaction with the emergency room visits. 5 out of 30 participants of each group will be interviewed about their satisfaction with service. 10 nurses in charge of patients participating in the study record the number of questions directly received and 5 out of 10 nurse will be interviewed about their nursing experience for participants using mobile chatbot service. Researchers will compare treatment group and control group to see if providing medical/non-medical information raise the satisfaction with emergency room visits.
a cross-sectional survey of nurses' perception of patient monitoring in the ICUs
Purpose: The study aims to examine the effect of web-based multi-source training on the prevention of urinary tract infections in adult kidney transplant recipients on clinical outcomes. Design: The study is a single-center, parallel-group, single-blind, pretest, and posttest randomized controlled experimental study. Methods: A total of 90 kidney transplant recipients, 45 in the control group and 45 in the intervention group will be included in the study. Kidney transplant recipients will be randomized on the day of discharge. Before discharge, the Patient Socio-Demographical/Descriptive Characteristics Form and the Discharge Readiness Scale will be applied to the control and intervention groups. Routine training and aimed at preventing urinary tract infections web-based multi-source training will be provided to the intervention group. The developed educational material was evaluated by experts in terms of literacy, reliability, and information quality. As multiple resources on the web: there will be written and visual texts of the educational material, as well as podcasts and animation videos. Web page usability will be evaluated with the System Usability Scale. Individuals will be able to benefit from each of these multiple educational resources according to their preferences. The control group will be directed to the organ transplantation handbook on the website of the routine education and organ transplant center. After discharge, the follow-ups of the intervention and control group were carried out during the first 6-month post-transplant standard follow-up process of the center (2. day; once a week for the first month; every ten days for up to 1-3 months; every three weeks for the next 3-6 months) will be performed. When patients come to their controls, the results of routine examinations (complete urinalysis, urine culture taken when necessary, hospitalization, emergency application, and other data) will be taken from the Hospital Information Management System. In addition, the recipients' opinions in the intervention group on the Web-Based Multi-Resource Training Program will also be received at the end of the 6th month. The research adhered to the Standard Protocol Items: Recommendations for Interventional Trials-SPIRIT (2013) and Consolidated Standards of Reporting Trials-CONSORT (2018) checklists.
To improve accurate diagnosis and treatment of common malignant tumors and major infectious diseases in the respiratory system, we aim to establish a large medical database that includes standardized and structured clinical diagnosis and treatment information such as electronic medical records, image features, pathological features, and multi-omics information, and to develop a multi-modal data fusion-based technology system for individualized intelligent pathological diagnosis and therapeutic effect prediction using artificial intelligence technology.
Recognizing a decline in pediatric primary care visits and immunizations rates, an increase in utilization of the emergency room and stagnating academic achievement, leaders of MetroHealth Medical Center and the Cleveland Metropolitan School District understood that an innovative delivery option would be required to meet the needs of their pediatric urban population. In the fall of 2013, with support from local and regional funders, they collaborated to open the first School Based Health Center in Cleveland. During its first year, the MetroHealth School Health Program provided primary care services to children in 98 clinical care visits. Through an emphasis on population health and care coordination, the School Health Program has grew dramatically, completing over 2,400 visits in the 2017-2018 school year at clinical sites in over 13 schools. The School Health Program has been successful in developing a care management model to improve the percentage of students who complete recommended preventive services including immunization and preventive visits. The investigators intend to apply and expand upon lessons learned to develop an effective multi component asthma care management model that includes (1) registry utilization (2) evidence based clinical care protocols (3) implementation of an Environmental Screening Tool (4) effective utilization of a Medical Legal Partnership (5) effective partnership with an environmental health justice community organization, Environmental Health Watch, for home assessment and remediation (6) utilization of a unique data sharing partnership between a large health system and school district to document health and educational outcomes.
The primary idea is that the use of a computerized reminder system to help with the guideline implementation will increase utilization and adherence of guideline-driven care, leading to improved patient outcomes. The hypothesis we aim to address is that an automatic, computerized reminder system for detecting asthma patients in the pediatric ED will increase paper-based guideline utilization compared to paper-based guideline without the system. We aim to implement a real-time, computerized asthma detection system and integrate the system with the pediatric emergency department information system, and evaluate the effect of the asthma detection system on reminding clinicians to use the paper-based asthma guideline.