Software Development & Medical Device Inventory for biomedical technology management (2014-2015) – NSRF (National Strategic Reference Framework)

BITU implemented the project “Software Development & Medical Device Inventory for biomedical technology management” of the Act “Integrated Information Technology Infrastructure and Services for Healthcare Management and Assessment”.

The aim of the project was:

  • To develop a Medical Equipment Management System (MEMS), a highly important tool that supports Clinical Engineering Departments (CED) of Hospitals in effectively monitoring and controlling medical equipment;
  • To establish a detailed inventory of the medical equipment located in 180 Greek Hospitals and Health Centres. For each piece of equipment, useful data (Device Category and Group, Manufacturer, Model, Serial number, Supplier, Location in the health unit, Date of installation, etc.) were collected and then imported in δ-BIT, the MEMS developed by BITU. Upon completion of the project, every health unit involved was given access to the system, which allows better managing and scheduling all necessary actions.

Our Team is developing the Sensor Design (Hardware), the Sensor Firmware, the wireless Communication Protocol and the part of the iOS and Android Apps that handle the commands and the data transfer between the sensor and the smart phone. The system consists of a Bluetooth Low Energy (BLE) enabled sensor featuring a 3D digital
accelerometer and a 3D digital gyroscope, a smartphone, as well as Android and iOS Apps. The sensor is attached directly onto gym equipment and tracks all its movement.

Dedicated Firmware controls the data sampling and transmission and runs the exercise related Algorithm which in turn calculates a score relevant to the subject’s performance. Additionally the Firmware supports over-the- air updates to allow for future application program updates. The calculated score is sent to a paired iPhone for visualization. The raw data is also transmitted to a paired smartphone and synced to a Cloud for further processing,
analysis and storage.