110 Copyright © 2019, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 5 DOI: 10.4018/978-1-5225-6210-8.ch005 ABSTRACT Sensor data takes the microcontroller and sends it to doctors through the wi-f network and provides real-time healthcare parameter monitoring. The clinician can analyze the sensor generated informa- tion. Patients provide their measures to the arrangement and identify their ftness status without human intervention. In this chapter, MapReduce algorithm is used to identify the patient health status. The controller is connected with the signal to alert the attendee about dissimilarity in sensor output data. If the situation is sever, an alert message is sent to the doctor through the IOT devices that can provide quick provisional medication to the ill person. The system improves usability of medical devices with less power consumption, simple setup, and high performance and response. INTRODUCTION There are numerous research studies are done to assessment the new trends in efficiency in healthcare providers. The effectiveness (Wang, Fedele, & Pridgen, 1999) of the hospital accomplish by analyzing data which showed high inadequacy into a number of clinics acknowledged. The major inadequacy of clinics exists in the accessibility of clinical facilities, the quantity of operating devices and clinical staff. Hospital inefficiency estimating method (Rosko, & Chilingerian, 1999) by identification of the com- municated case mix indicator condensed inefficiency by 50%. As a result, the optimization of diagnostic practice is improving the efficiency of healthcare services. Improved Usability of IOT Devices in Healthcare Using Big Data Analysis Vijayalakshmi Kakulapati SNIST, India Mahender Reddy S. SNIST, India