Development and Evaluation of a Telematics Platform for Monitoring of Patients in Ambulatory Major Surgery.

Development and Evaluation of a Telematics Platform for Monitoring of Patients in Ambulatory Major Surgery.

Telemed J E Health. 2018 Sep 26;:

Authors: de Dicastillo EL, García-Zapirain B, Fernández MTA, Torre Díez I, Oleagordia I, Celaya AA

Abstract
BACKGROUND: Ambulatory surgical procedures (ambulatory major surgery [AMS]), to which many people turn, do not require hospital admission. Patients may continue with their recovery from home on the same day they had surgery.
OBJECTIVE: The main purpose of this article is to provide a technological solution that may enable nurses to control the evolution of a large number of patients in real time.
METHODS: Java and Microsoft Band 2 SDK were used to program the mobile application (app), in contrast, Java, Hibernate, JSP, and Struts2 were used for the web app. The World Health Organization Quality Of Life (WHOQOL) and the System Usability Scale (SUS) questionnaires were applied for assessment purposes. IBM SPSS Statistics Data Editor was used for statistical analysis. Each test lasted 2 weeks, and the test itself involved completing the questionnaire about the patient's health using the mobile app. The average age of the individuals who took part in the study was 42.30 years, with a standard deviation of 17.63 years.
RESULTS: The tests involved in this system were conducted at the Ambulatory Major Surgery Unit in the Basurto Hospital, Basque Country, Spain on 20 participants with an average of 42.30 years and a standard deviation of 17.63 years. The application obtained a good score on the SUS ([Formula: see text] = 89.87 of 100, σ = 9.14). Using the WHOQOL questionnaire, the results were found better in the case of the patients' group than in the control group.
CONCLUSION: Using a developed multiplatform mobile app, patients noted an improvement in the care provided in the case of day surgery. The web platform accessed by nurses to make consultations has been integrated into the app service provider, while the bracelet sends the data to the app which receives it and then sends it on to the database. Healthcare staff then check patients' condition.

PMID: 30256743 [PubMed - as supplied by publisher]