Advances in Informatics, Management and Technology in Healthcare

J. Mantas, P. Gallos, E. Zoulias, Emmanouil Zoulias, Arie Hasman, Mowafa S. Househ, Marianna Diomidous, Joseph Liaskos

• Publisher: SAGE Publications Ltd
• Year: 2022
• Print ISBN:
  9781643682907
• eBook ISBN:
  9781643682914
• Edition: 1
• Topic: Medicine
• Subtopic: Public Health, Administration & Care

Data science, informatics and technology have inspired health professionals and informaticians to improve healthcare for the benefit of all patients, and the field of biomedical and health informatics is one which has become increasingly important in recent years. This volume presents the papers delivered at ICIMTH 2022, the 20th International Conference on Informatics, Management, and Technology in Healthcare, held in Athens, Greece, from 1-3 July 2022. The ICIMTH Conference is an annual scientific event attended by scientists from around the world working in the field of biomedical and health informatics. This year, thanks to the improvement in the situation as regards the COVID-19 pandemic and the consequent lifting of restrictions, the conference was once again a live event, but virtual sessions by means of teleconferencing were also enabled for those unable to travel due to local restrictions. The field of biomedical and health informatics was examined from a very broad perspective, with participants presenting the research and application outcomes of informatics from cell to populations, including several technologies such as imaging, sensors, biomedical equipment, and management and organizational aspects, including legal and social issues. More than 230 submissions were received, with a total of 130 accepted as full papers and 19 as short communication and poster papers after review. As expected, a significant number of papers were related to the COVID-19 pandemic. Providing a state-of-the-art overview of biomedical and health informatics, the book will be of interest to all those working in the field of healthcare, researchers and practitioners alike

Table of contents

• Title Page
• Preface
• ICIMTH 2022 Scientific Programme Committee and Reviewers
• Contents
• A Method for the Classification of Digital Health Architectures as Medical Devices; a Digital Health Research Perspective
• Requirement Analysis for an Intelligent Warning System to Alarm the Rapid Response Team Prior to Patient Deterioration
• Citizens' Use of eHealth Services During COVID-19 in Relation to National Policy Goals
• Superusers of Self-Paced Online Learning on OpenWHO
• Artificial Intelligence Solutions to Detect Fraud in Healthcare Settings: A Scoping Review
• Assessing Internal Consistency of HAIS-Q: A Survey Conducted in Greek Hospitals
• The Role of Artificial Intelligence and Machine Learning During the Covid-19 Pandemic: A Review
• Impact of Class I Software as Medical Devices (SaMDs) on Public Health
• Usability Evaluation of a Modern Multilingual MeSH Browser
• Point-of-Care Speech-Recognition Based mHealth Solution to Facilitate Physicians' Daily Work
• Tracing the Paradigm Shift on Relationships Through eHealth Components in Health Care
• Determining the Set of Items to Include in Breast Operative Reports, Using Clustering Algorithms on Retrospective Data Extracted from Clinical DataWarehouse
• Overview of Existing Tools for Extracting Health and Fitness Data from mHealth Apps
• Evaluating the Impact of Digital Game on Learning Medical Terminology of Paramedical Students: Protocol for a Randomized Controlled Trial
• The ERN-LUNG Population Registry: Aims, Software-Implementation and First Results
• The Impact of COVID-19 on Mental Health Services in Scotland, UK
• Use of Electronic Health Information to Advance Health Research
• The Implementation of a Participatory Technology Development Process in a Clinical Setting
• ICT Tools for Registry Research: A Market Survey
• Data Cleaning Process for mHealth Log Data to Inform Health Worker Performance
• Blockchain Enabled Patient-Centred Care for Inflammatory Bowel Disease: 4 Principles for Socio-Techical and Clinical Alignment
• Physician Acceptance of Machine Learning for Diagnostic Purposes: Caution, Bumpy Road Ahead!
• Impact of Follow-Up Imaging Recommendation Specificity on Adherence
• Time Bias Awareness in ECG-Based Multiple Source Data Matching
• Beat to BEAT – Non-Invasive Investigation of Cardiac Function on the International Space Station
• Towards an Evolutionary Open Pediatric Intensive Care Dataset in the ELISE Project
• Data Protection in Healthcare Research: Medical Students' Knowledge and Behavior
• Effectiveness of Serious Games for Language Processing Amongst Elderly Population with Cognitive Impairment: A Systematic Review and Meta-Analysis
• Effectiveness of Serious Games for Visuospatial Abilities in Elderly Population with Cognitive Impairment: A Systematic Review and Meta-Analysis
• Artificial Intelligence-Based Mobile Application for Sensing Children Emotion Through Drawings
• Video Recordings of Interactions
• The Podcast “Digitization of Medicine” as a Form of Science Communication
• Visualization System for the Impact of Context Open Data in Clinical Settings
• Caregivers Interactions with Clinical Autocomplete Tool: A Retrospective Study
• Towards the Adoption of Novel Visualizations in Public Health
• A Systematic Review on Improving Health Literacy in Rural Africa Using Mobile Serious Games
• An Improved Infrastructure for Privacy-Preserving Analysis of Patient Data
• External Validation and Transportability of Models to Predict Acute Kidney Injury in the Intensive Care Unit
• Substantive Interpretation of Machine Learning Solutions by the Example of Determining the Activity of the Tuberculosis Process in Individuals with Minimal Tuberculosis Residual Changes
• The Impact of the COVID-19 Pandemic on Physician Electronic Health Record Use and Burden at a Canadian Mental Health Hospital
• PeterPandemic: A Serious Game for Pandemic Management
• The Utilization of Health Informatics Interventions in the COVID-19 Pandemic: A Scoping Review
• Data Federation in Healthcare for Artificial Intelligence Solutions
• An Evaluation Guide and Decision Support Tool for Journey Maps in Healthcare and Beyond
• Contextualizing Online Laboratory (lab) Results and Mapping the Patient Journey
• Information Provision and Quality. A Pilot Study on Shared Decision-Making in Multiple Sclerosis
• COVID-BIOCHIP: A Web Tool to Analyse COVID-19 Antigen Microarrays
• Ethical, Legal and Social Implications in a Nursing Field Study in Bavaria
• Comparison of Data Classification Results for Leap Motion Recovery Gestures
• The Effects of Health Behavior Changing Program for Systolic Blood Pressure Reduction Among Thai Buddhist Monks, Thailand
• Analyzing SARS-CoV-2 Sequence Patterns by Semantic Trajectories
• Federated Learning and Internet of Medical Things – Opportunities and Challenges
• Student Experience and Its Relationship with Campus Mental Well-Being
• Artificial Intelligence-Based Models for Predicting Vaccines Critical Tweets: An Experimental Study
• Portable Health Clinic System for Maternal and Child Health Care in COVID-19 Pandemic Situation
• Information Technologies for Cognitive Decline
• Health-Related Content in Transformer-Based Deep Neural Network Language Models: Exploring Cross-Linguistic Syntactic Bias
• Comparison of Non-AI and AI-Enabled M-Health Platforms for COVID-19 Self Screening in Indonesia
• Comparing Themes Extracted via Topic Modeling and Manual Content Analysis: Korean-Language Discussions of Dementia on Twitter
• Collecting Data from Senior Citizens Using Serious Games
• Designing a Dashboard for HIV-data Reporting Performance by Facilities: Case Study of Kenya
• Implementation of a Geographic Information System-Based Smartphone Application for Health Vigilance in Older Adults by Village Health Volunteers (OSOMO)
• Mental Health Teleconsultation Patterns on the Most Popular mHealth Platforms in Indonesia
• Ethical Issues in the Utilization of Black Boxes for Artificial Intelligence in Medicine
• Comparing Emotional Valence Scores of Twitter Posts from Manual Coding and Machine Learning Algorithms to Gain Insights to Refine Interventions for Family Caregivers of Persons with Dementia
• Data Literacy in Medical Education – An Expedition into the World of Medical Data
• Designing a Social Robot Companion to Support Homecare: Usability Results
• Using Logistic Regression to Predict Long COVID Conditions in Chronic Patients
• Inference Time of a CamemBERT Deep Learning Model for Sentiment Analysis of COVID Vaccines on Twitter
• Seismocardiography with Smartphones: No Leap from Bench to Bedside (Yet)
• Integrating Human Patterns of Qualitative Coding with Machine Learning: A Pilot Study Involving Technology-Induced Error Incident Reports
• Automatic Wound Type Classification with Convolutional Neural Networks
• Evaluating Usability of Telehealth Sehhaty Application Used in Saudi Arabia During Covid-19
• Explaining Contextualized Word Embeddings in Biomedical Research – A Qualitative Investigation
• The Sortal Concept in the Context of Biomedical Record Linkage
• Diabetes and Obesity in Bulgaria. Study of a Large Number of Outpatient Records from 2018
• Integration of Biobanking Architecture with Genomics Data: Genomics Integrated Biobanking Ontology (GIBO)
• Methods Used to Compare Narrative Clinical Practice Guidelines: A Scoping Review
• An Approach to Differentiate Cell Painted ER and Cytoplasm Using Zernike Moment Descriptor and Multilayer Perceptron
• Evaluating a Smart Healthcare System Design Through Participatory Approach
• Assessing Disparities in COVID-19 Testing Using National COVID Cohort Collaborative
• Implementation of a Mobile Application in Acute Stroke Care Documentation
• Applying Participatory Design Mixed-Methods Approaches to Refine Twitter-Based Social Support Interventions for African Americans and Hispanic Family Caregivers of Persons with Dementia
• Using Machine Learning to Identify No-Show Telemedicine Encounters in a New York City Hospital
• Adaptation of HL7 FHIR for the Exchange of Patients' Gene Expression Profiles
• BeWell@Digital – Supporting Young People's Mental Health in Western Balkans with E-solutions
• Hospital Readmission Prediction via Keyword Extraction and Sentiment Analysis on Clinical Notes
• Effect of Hydroxychloroquine on Influenza Prevention
• Do Health Technology Safety Issues Vary by Vendor?
• Natural Language Processing Approaches for Retrieval of Clinically Relevant Genomic Information in Cancer
• Type and Number of Errors of the Iranian Electronic Health Record (SEPAS) in Hospitals Affiliated with Mashhad University of Medical Sciences
• Need of Equity in Virtual Mental Health in Canada in the Times of COVID-19
• Treatment Prediction in the ICU Setting Using a Partitioned, Sequential Deep Time Series Analysis
• Classification of Challenges and Threats in Healthcare Cybersecurity: A Systematic Review
• Clinical Trials on Alternative Medicines for COVID-19
• Open Source Web Application: An Application on Health Tourism in Greece
• Large-Scale EHR Suites and Path-Dependence
• An Autoscaling Platform Supporting Graph Data Modelling Big Data Analytics
• A Hand Motion Tracker Supporting Home-Based Rehabilitation for People with Hemiplegia due to Stroke
• Evaluating the Quality of a Clinical Mobile App for Physicians' CT Scan Ordering Using the MARS Rating Scale
• Acceptability and Feasibility of Smart Phone Application “OSOMO Prompt” for Health Surveillance in Older Adults by Community Health Workers
• Mapping SNOMED CT Codes to Semi-Structured Texts via an NLP Pipeline
• 3D Digital Printing in Healthcare: Technologies, Applications and Health Issues
• Overcoming Major Barriers to Build Efficient Decision Support Systems in Pharmacovigilance
• Evaluating a Competency-Based MOOC for Paediatric Training
• Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients
• Early Diabetes Prediction: A Comparative Study Using Machine Learning Techniques
• Medical Device Incident Reports by Professional Users in Finland 2014–2021
• Multinomial Classification of Neurosurgical Operations Using Gradient Boosting and Deep Learning Algorithms
• Conception, Development and Validation of Classification Methods for Coding Support of Rare Diseases Using Artificial Intelligence
• Collaborative Learning Using Escape Designs and Pedagogies. A Needs Analysis Protocol
• Discovering Association Rules in Antimicrobial Resistance in Intensive Care Unit
• Chances and Risks of Using Robotic Assistance Systems in Early Neurological Rehabilitation: A Qualitative Analysis
• Augmenting the Doctor of the 21st Century with Patient-Centered Communication Skill-Sets: The FOR21 Project
• Web Quality Assurance of Information in Healthcare
• A Formal Model for the FAIR4Health Information Architecture
• Symptom Management and Quality of Life of Palliative Cancer Patients After Being Administered with Thai Medicinal Cannabis
• Interactive Voice Response Service to Improve High School Students Covid-19 Literacy in Burkina Faso: A Usability Study
• Electronic Patient Reported Outcomes for Miscarriage Research in Tommy's Net
• Using Association Rules in Antimicrobial Resistance in Stone Disease Patients
• Cluster Analysis Assessment in Proposing a Surgical Technique for Benign Prostatic Enlargement
• Investigating Diabetes Mellittus Impact on Various Aspects of Patients' Quality of Life
• Investigating Diabetes Mellitus Patients' Experiences with Self Monitoring Blood Glucose Methods
• Structural and Semantic Mapping of Application Programming Interfaces
• Explainable Optimized LightGBM Based Differentiation of Mild Cognitive Impairment Using MR Radiomic Features
• CAREPATH: Developing Digital Integrated Care Solutions for Multimorbid Patients with Dementia
• Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography
• The Transition to Distance Learning in the Era of Covid-19 Pandemic: The Perceptions and Experiences of Nursing Students
• Utilization of Digital Health Dashboards in Improving COVID-19 Vaccination Uptake, Accounting for Health Inequities
• Exploratory Clustering for Emergency Department Patients
• Application of Machine Learning Techniques to Examine Social Service Needs Among Hispanic Family Caregivers of Persons with Dementia
• Automated Segmentation of Lateral Ventricles in Alzheimer's Conditions Using UNET++ Model
• An OHDSI ATLAS Extension to Support Feasibility Requests in a Research Network
• Customized and Automated Machine Learning-Based Models for Diabetes Type 2 Classification
• Investigating the Impact of the Covid-19 Pandemic on the Economy and the Corresponding Entrepreneurship Support Measures in Europe
• A Bibliometric Analysis of Virtual Reality-Aided Vision Therapy
• Using an Extended Technology Acceptance Model to Evaluate Digital Health Services
• Artificial Intelligence: On the Way to Doctor's Trust
• Evaluation of the Discrimination Ability of the Decision Rule Allowing to Predict the Probability of Death in Oncosurgical Patients with Comorbid Pathology
• 2D Anatomical Structure for COVID-19 Medical Images
• A Comparison of Convolutional Neural Networks and Traditional Feature-Based Classification Applied to Leukaemia Image Analysis
• Complexity and Health Technology Safety
• Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model
• A Machine Learning Solution to Predict Elective Orthopedic Surgery Case Duration
• Serious Gaming and Artificial Intelligence in Rehabilitation of Rheumatoid Arthritis
• Using mHealth Technologies to Promote Public Health and Well-Being in Urban Areas with Blue-Green Solutions
• Intelligent Pervasive Monitoring Solution of COVID-19 Patients
• A Conceptual Framework for Fetus Head Analysis Based on Ultrasound Images
• Subject Index
• Author Index