Creation of a system for the coding of medical devices

Medical devices have different nomenclatures for their classification. Some of the most significant nomenclatures are the Universal Medical Device Nomenclature System (UMDNS) and the Global Medical Device Nomenclature (GMDN) by the Emergency Care Research Institute (ECRI). In Italy the main are CIVAB and “Classificazione Nazionale Dispositivi Medici” (National Classification for Medical Devices - CND). The aim of this study is to create a system to automatically decode several device models from CIVAB to UMDNS code. All medical devices are coded with a table which is based on their definitions presented in these nomenclatures. The coding is lastly applied to a list of models of medical devices, developed by different companies

Sentiment Analysis for Performance Evaluation of Maintenance in Healthcare

This paper presents a framework which makes use of Sentiment Analysis techniques for retrieving Real World Data (RWD) starting from scheduled and corrective maintenance data. The scope of the analysis is to automatically extract features from maintenance work orders, in order to calculate Key Performance Indicators of maintenance operations on medical devices, for Health Technologies Assessment purposes. Data are extracted from Computerized Maintenance Management System reports of healthcare facilities

Semantic Ontologies for Complex Healthcare Structures: A Scoping Review

The healthcare environment is made up of highly complicated interactions between many technologies, activities, and people. Ensuring a solid communication between them is vital to ease the healthcare management. Semantic ontologies are knowledge representation tools that implement abstractions to fully describe a given topic in terms of subjects and relations. This scoping review aims to identify and analyse available ontologies which can depict all the available use-cases that describe the hospital environment in relation to the European project ODIN and its future expansion. The review has been conducted on the Scopus database on January 13th, 2023 using the PRISMA extensions for scoping reviews. Two reviewers screened 3,225 documents emerged from the database search. Further filtering led to a final set of 32 articles to be analysed for the results. A set of 34 ontologies extracted by the identified articles has been analysed and discussed as well. The results of this study will lead to the implementation of a common integrated ontology which could hold information about healthcare entities as well as their semantic relationships, strengthen data exchange and interconnections among people, devices and applications in an expanded scenario which include Internet of Things, robots and Artificial Intelligence

System for Monitoring Environmental Parameters in a Hospital Facility

The paper presents a system for managing and monitoring environ- mental parameters in hospital facilities. It relies on existing data collected with a CAFM (Computer Aided Facility Management) system and allows granted users (such as CEO or Energy Manager) to monitor the ongoing energy consumption of a given activity area (Operating Rooms, Diagnostics, Intensive Care Units, Wards) in relation to the compliance to relevant threshold parameters. The sys- tem easily outputs aggregated data via PDF reporting

Designing and developing a mobile application for indoor real-time positioning and navigation in healthcare facilities

Navigation portable applications have largely grown during the last years. However, the majority of them works just for outdoor positioning and routing, due to their architecture based upon Global Positioning System signals. Real-Time Positioning System intended to provide position estimation inside buildings is known as Indoor Positioning System (IPS)

Careggi Smart Hospital: A mobile app for patients, citizens and healthcare staff

This paper presents a mobile app called “Careggi Smart Hospital” which has been developed for the Careggi Polyclinic in Florence. The application is designed for Android smartphones and tablets and it is freely downloadable from the Google Play Store. It provides various useful tools to the hospital's users such as personnel and structures finding, way-finding and the possibility to access personal medical records collected on regional electronic health record

alessioluschi/HITBert: v1.1

<p>A fine-tuned BERT-based NLP model for classyfing HIT-related adverse events reports.</p><p>When using this model, the provided Python code, or the dataset for any other projects, please cite the original work:</p><p>Luschi, A., Nesi, P., Iadanza, E. "Evidence-based Clinical Engineering: Health Information Technology Adverse Events Identification and Classification with Natural Language Processing", Heliyon, Vol. 9(11), 2023 [DOI: 10.1016/j.heliyon.2023.e21723]</p&gt

Designing a Healthcare Computer Aided Facility Management System: a New Approach

This paper presents a custom decision-support information system designed to analyze and manage healthcare buildings, estate and assets in rela- tion to the activity area of each room. The software drives its own SVG plans to retrieve structural information with a room-scale definition, built by DXF files inputted to the system itself. Each room is grouped in homogeneous areas ac- cording to the hospital’s inner organization (Departments and Operative Units) with their own assets, technologies and environmental comforts, giving quanti- tative and qualitative results. The system output can be used by the top- management to assess parameters and improve the structure and organization

A Web Based Integrated Healthcare Facility Management System

This paper presents a custom decision-support information system to analyze and manage healthcare buildings, estate and assets in relation to the carried on activities. The software drives Autocad plans to retrieve structural information and to store any kind of structured data with a room-scale definition. Each room is grouped in homogeneous areas with its own assets, technologies and environmental comforts, giving quantitative and qualitative results. System outputs can be used by the top-management to assess parameters and improve the structure and organization

Decision Support Systems in Healthcare

In this section, we will describe an example of CDSS that we designed and implemented for facilitating the decision process in the management of the Congestive Heart Failure