Secured Healthcare Data Analytics on the Cloud Using Blockchain-Based Techniques

Blockchain and the internet of things (IoT) are progressive technologies that are changing the world with additional special care within the healthcare system. In healthcare, IoT is a remote patient monitoring system that allows IoT devices to collect patient information such as remote monitoring, test results, pharmacy detailsm and medical insurance details, and allows doctors to provide excellent care. In order to facilitate data sharing among different hospitals and other organizations, it is necessary to secure data with caution. Blockchain is a decentralized, distributed, and an immutable digital ledger that records healthcare transactions using peer-to-peer technology in an extremely secure manner. It uses the cloud environment to store the huge amount of data on healthcare. The data generated from IoT devices uses blockchain technology to share medical information being analyzed by healthcare professionals in different hospitals in a secure manner. The objective is to benefit patient monitoring remotely and overcome the problem of information blocking.

RANCANG BANGUN ALAT MONITORING PERKEMBANGAN PASIEN PASCA STROKE BERBASIS IoT (INTERNET of THINGS)

The design of this IoT (Internet of Things)-based post-stroke patient monitoring tool was built to monitor patient progress remotely. Flex sensor hardware was used to retrieve data from every movement of the patient's finger muscle strength, then processed by the NodeMCU ESP32 after that the data will be sent to the web server via the IoT platform using a local wireless network. The results of research on the development of post-stroke patients can be displayed to a web server in the form of a table plot of data values for the index finger, middle finger, and ring finger. The post-stroke patient monitoring system can be accessed on PC and Android devices. The results of the sample test from the device obtained the highest value of 3.26 MMT and the lowest value of 0.2 MMT so that the patient's finger muscle strength was declared unstable and frequent changes in muscle strength.

Wearable Bluetooth Triage Healthcare Monitoring System

Triage is the first interaction between a patient and a nurse/paramedic. This assessment, usually performed at Emergency departments, is a highly dynamic process and there are international grading systems that according to the patient condition initiate the patient journey. Triage requires an initial rapid assessment followed by routine checks of the patients’ vitals, including respiratory rate, temperature, and pulse rate. Ideally, these checks should be performed continuously and remotely to reduce the workload on triage nurses; optimizing tools and monitoring systems can be introduced and include a wearable patient monitoring system that is not at the expense of the patient’s comfort and can be remotely monitored through wireless connectivity. In this study, we assessed the suitability of a small ceramic piezoelectric disk submerged in a skin-safe silicone dome that enhances contact with skin, to detect wirelessly both respiration and cardiac events at several positions on the human body. For the purposes of this evaluation, we fitted the sensor with a respiratory belt as well as a single lead ECG, all acquired simultaneously. To complete Triage parameter collection, we also included a medical-grade contact thermometer. Performances of cardiac and respiratory events detection were assessed. The instantaneous heart and respiratory rates provided by the proposed sensor, the ECG and the respiratory belt were compared via statistical analyses. In all considered sensor positions, very high performances were achieved for the detection of both cardiac and respiratory events, except for the wrist, which provided lower performances for respiratory rates. These promising yet preliminary results suggest the proposed wireless sensor could be used as a wearable, hands-free monitoring device for triage assessment within emergency departments. Further tests are foreseen to assess sensor performances in real operating environments.