Akademik Veri Yönetim Sistemi
Gökalp Clarke H., Üstün Ercan S., Gedikli Ö., Aydın Avci I., Altay B., Orak O. S.
Türkiye Sağlık Enstitüleri Başkanlığı (TÜSEB) Araştırma Projesi, 2023 - 2025
In this project, we will develop, deploy and evaluate a remote patient monitoring (RPM) platform that consists of four main components: sensors to measure important symptoms of the disease, a gateway that automatically transfers measurement data to clinicians, a data server, and a portal for clinicians to monitor and manage patients. RPM will be used to monitor and manage patients with Congestive Heart Failure (CHF) to determine the impact on clinical outcomes and health resource use in a randomized study with 200 CHF patients (100 control, 100 experimental group) for 6 months. Remote Patient Monitoring has been widely used, particularly in the United States, where research has shown it has greatest effect when used in rural and sparsely populated areas. We believe it can make a positive contribution to the access to health care for rural citizens in Turkey, a large and sparsely populated country. RPM is highly preferred by patients who would have to travel great distance to hospital for routine appointments. RPM can eliminate unnecessary hospital visits and, if intervention is required, accelerate admission, increase the effectiveness of treatment and improve patient satisfaction. In addition, we will investigate optimum ways to integrate RPM into the Turkish health system to exploit community services, specialist community nurses, and communication between community and hospital clinician. We will publish results of the project in prestigious international journals, present them at international conferences and share them with relevant stakeholders by organizing workshops. The project will contribute to the knowledge, careers and competence of the young academics, researchers and students who will be involved in the project. It will contribute to the growth of the country's economy and will strengthen our country's place among the leader-determining countries in the creation and implementation of global and regional health policies. It is thought that the project will pave the way for new projects aimed at optimizing the use of RPM platforms, creating new service models, and making more effective risk detection and interventions by using artificial intelligence algorithms in the big data to be obtained with its widespread use. Our long term aim is to extend the role of the RPM platform to manage other diseases such as Chronic Obstructive Pulmonary Disease (COPD) and conditions in high risk pregnancy.