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Towards a Patient-Centered Design of a Cancer Telerehabilitation System
Stud Health Technol Inform. 2024 Mar 1;310:1569-1573. doi: 10.3233/SHTI231326.ABSTRACTSuccessful implementation of telehealth platforms requires a detailed understanding of patient's needs, preferences, and attitudes toward a home-based platform. The goal of this study was to identify patient-centered characteristics of a cancer rehabilitation system based on cognitive evaluation of user interface and semi-structured qualitative interviews. Quantitative and qualitative feedback from 29 patients with metastatic urogenital cancer was collected after using a cancer telerehabilitation system. Heuristic evaluation, cognitive wa...
Source: Studies in Health Technology and Informatics - March 1, 2024 Category: Information Technology Authors: Irena Parvanova Joseph Finkelstein Source Type: research

Symbolic Artificial Intelligence to Diagnose Tuberculosis Using Ontology
Stud Health Technol Inform. 2024 Mar 1;310:1574-1578. doi: 10.3233/SHTI231327.ABSTRACTPulmonary Tuberculosis (PTB) is an infectious disease caused by a bacterium called Mycobacterium tuberculosis. This paper aims to create Symbolic Artificial Intelligence (SAI) system to diagnose PTB using clinical and paraclinical data. Usually, the automatic PTB diagnosis is based on either microbiological tests or lung X-rays. It is challenging to identify PTB accurately due to similarities with other diseases in the lungs. X-ray alone is not sufficient to diagnose PTB. Therefore, it is crucial to implement a system that can diagnose ba...
Source: Studies in Health Technology and Informatics - March 1, 2024 Category: Information Technology Authors: Napthaline Gerard Sarah Ben Othman Pajanivel Rangandin Marc Broucqsault Slim Hammadi Source Type: research

GCN-Based Risk Prediction for Necrosis Slide of Hepatocellular Carcinoma
Stud Health Technol Inform. 2024 Mar 1;310:1579-1583. doi: 10.3233/SHTI231328.ABSTRACTHepatocellular carcinoma (HCC) is one of the most common cancers in the world which ranks fourth in cancer deaths. Primary pathological necrosis is an effective prognostic indicator for hepatocellular carcinoma. We propose a GCN-based approach that mimics the pathologist's perspective for global assessment of necrosis tissue distribution to analyze patient survival. Specifically, we introduced a graph convolutional neural network to construct a spatial map with necrotic tissue and tumor tissue as graph nodes, aiming to mine the contextual...
Source: Studies in Health Technology and Informatics - March 1, 2024 Category: Information Technology Authors: Boyang Deng Yu Tian Qiancheng Ye Zhenxing Chai Tianshu Zhou Qi Zhang Tingbo Liang Jingsong Li Source Type: research

Effects of Language Differences on Inpatient Fall Detection Using Deep Learning
This study examined the effects of language differences between Korean and English on the performance of natural language processing in the classification task of identifying inpatient falls from unstructured nursing notes.PMID:38426881 | DOI:10.3233/SHTI231329 (Source: Studies in Health Technology and Informatics)
Source: Studies in Health Technology and Informatics - March 1, 2024 Category: Information Technology Authors: Insook Cho EunJu Lee Dong-Geon Lee Source Type: research

Patient Satisfaction on Telehealth Services Used in Urban Sri Lankan Settings, During the COVID-19 Pandemic
Stud Health Technol Inform. 2024 Mar 1;310:1586-1587. doi: 10.3233/SHTI231330.ABSTRACTThis research intended to assess satisfaction of urban patients on the use of telehealth over the last two years; mainly across the Covid-19 pandemic in Sri Lanka. Most of the telehealth users were the younger patients, and they were generally satisfied with the technical quality, serviced delivery as well as the overall experience. However, telehealth was utilized mainly for delivery of a limited range of services. In the future, Telehealth seems to have great potential to exist as a supplement to conventional appointments.PMID:38426882 ...
Source: Studies in Health Technology and Informatics - March 1, 2024 Category: Information Technology Authors: S N Silva M D A I Karunaratne Source Type: research

Implementation of Digital Health Ethics: A First Step with the Adoption of 16 European Ethical Principles for Digital Health
Stud Health Technol Inform. 2024 Mar 1;310:1588-1592. doi: 10.3233/SHTI231331.ABSTRACTThe potential for technology to transform health care is tremendous, but advances in digital health may also bring privacy and data security challenges that may exacerbate inequalities. Hence, it is critical that the development of digital health is included in a framework of humanistic and ethical values. France drew up its roadmap for accelerating the shift towards digital health with ethics at the forefront, along with security and interoperability pillars. Criteria such as digital health for all, transparency of data processing, trust...
Source: Studies in Health Technology and Informatics - March 1, 2024 Category: Information Technology Authors: Brigitte Seroussi Isabelle Zablit Source Type: research

Pharmaceutical Decision Support System Using Machine Learning to Analyze and Limit Drug-Related Problems in Hospitals
Stud Health Technol Inform. 2024 Mar 1;310:1593-1597. doi: 10.3233/SHTI231332.ABSTRACTThe health product circuit corresponds to the chain of steps that a medicine goes through in hospital, from prescription to administration. The safety and regulation of all the stages of this circuit are major issues to ensure the safety and protect the well-being of hospitalized patients. In this paper we present an automatic system for analyzing prescriptions using Artificial Intelligence (AI) and Machine Learning (ML), with the aim of ensuring patient safety by limiting the risk of prescription errors or drug iatrogeny. Our study is ma...
Source: Studies in Health Technology and Informatics - March 1, 2024 Category: Information Technology Authors: Sarah Ben Othman Bertrand Decaudin Pascal Odou Chlo é Rousselière Etienne Cousein Slim Hammadi Source Type: research

Reducing the Environmental Impact of Digital Health: Development of an Ecoscore for Health Apps
Stud Health Technol Inform. 2024 Mar 1;310:1598-1602. doi: 10.3233/SHTI231333.ABSTRACTThe digital revolution is perceived as minimizing the environmental impact of human activities. However, digital actually uses real physical equipment, that consumes natural resources and emits greenhouse gases. The French Ministry of health has very soon engaged in the development of an ethical digital health with a strong concern for eco-responsibility. We have developed an Ecoscore service to allow providers of web and mobile health apps to calculate the environmental impact of their apps. The ecoscore is computed on a script describin...
Source: Studies in Health Technology and Informatics - March 1, 2024 Category: Information Technology Authors: Nathalie Baudiniere Olivier Philippot Thierry Leboucq Brigitte Seroussi Source Type: research