Improved aftercare in LVAD patients: Development and feasibility of a smartphone application as a first step for telemonitoring.

For the success of the treatment with a left ventricular assist device (LVAD), both adequate self-management by the patient and an optimum level of support from the implanting hospital are crucial. A smartphone application has recently been developed within the framework of a European research project for the close monitoring of LVAD patients in order to improve upon their current aftercare situation. Using this new tool, different relevant parameters (eg, weight, international normalized ratio [INR], medication, LVAD parameters, symptoms, and photos of the driveline exit) can be sent daily or as required to a corresponding clinical application at the hospital for evaluation. The objective of this study was to monitor the functionality, acceptance, and usability of this smartphone application in LVAD patients. Prospective single-center study: in total, 13 patients (60 ± 7 years, 92% male, 1027 ± 653 days after LVAD implantation) were requested to test the application for approx. 4 weeks. At the end of the study, all entered data were evaluated and the patients were questioned regarding the acceptance and the usability. During the study period of mean 34 ± 8 days, a total of 453 data records (mean 35 ± 7 per patient) arrived at the hospital. In addition, a total of 19 photos of the driveline exit site were also sent via smartphone. The clinical application registered a total of 160 conspicuities. These comprised 126 INR deviations (target range 2.3-2.8) and 34 symptoms (mainly nosebleeds). The smartphone application functioned reliably, was well received by the patients and was graded highly for acceptance and usability. The results show that smartphone applications can definitely be used to improve aftercare in LVAD therapy in selected patients. Long-term studies are now needed to investigate the extent to which complications can be prevented, healthcare costs reduced, and quality of life increased.

Development of a Computer-Aided Dosage and Telemonitoring System for Patients Under Oral Anticoagulation Therapy.

In this paper, we present a system that allows patients who require anticoagulation medicine an opportunity to independently manage their dosage concentration with the help of two machine learning algorithms. The basic idea is to predict the next dosage by using a neuronal network and the model predictive control approach, both based on the history of data already available from patients. This machine learning system is expanded by an smartphone application for the patients, and a website for the doctors to support their patients.