Healthcare Transformation with Informatics and Artificial Intelligence

J. Mantas, P. Gallos, E. Zoulias, Emmanouil Zoulias, Arie Hasman, Mowafa S. Househ, Martha Charalampidou, Andriana Magdalinou

• Publisher: SAGE Publications Ltd
• Year: 2023
• Print ISBN: 9781643684000
• eBook ISBN: 9781643684017
• Edition: 1
• Topic: Medicine
• Subtopic: Public Health, Administration & Care

Artificial intelligence (AI) is once again in the news, with many major figures urging caution as developments in the technology accelerate. AI impacts all aspects of our lives, but perhaps the discipline of Biomedical Informatics is more affected than most, and is an area where the possible pitfalls of the technology might have particularly serious consequences. This book presents the papers delivered at ICIMTH 2023, the 21st International Conference on Informatics, Management, and Technology in Healthcare, held in Athens, Greece, from 1-3 July 2023. The ICIMTH conferences form a series of scientific events which offers a platform for scientists working in the field of biomedical and health informatics from all continents to gather and exchange research findings and experience. The title of the 2023 conference was Healthcare Transformation with Informatics and Artificial Intelligence, reflecting the importance of AI to healthcare informatics. A total of 252 submissions were received by the Program Committee, of which 149 were accepted as full papers, 13 as short communications, and 14 as poster papers after review. The papers cover a wide range of technologies, and topics include imaging, sensors, biomedical equipment, and management and organizational aspects, as well as legal and social issues. The book provides a timely overview of informatics and technology in healthcare during this time of extremely fast developments, and will be of interest to all those working in the field.

Table of contents

• Title Page
• Preface
• About the Conference
• Contents
• A Hybrid AI-Based Method for ICD Classification of Medical Documents
• The Representation of Trust in Artificial Intelligence Healthcare Research
• Leveraging Multi-Word Concepts to Predict Acute Kidney Injury in Intensive Care
• Increasing Trust in AI Using Explainable Artificial Intelligence for Histopathology - An Overview
• Health Data Democratization in Austria: Patients' Perspective
• Patient-Generated Health Data Interoperability Through Master Patient Index: The DH-Convener Approach
• Data Quality and Data Quantity: Complements or Contradictions?
• Using Digital Tools to Train Health Emergencies Personnel in Fragile Contexts
• A Study on the Reliability of Visual XAI Methods for X-Ray Images
• Prediction of Waiting Times in A&E
• Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals
• Social Media Analysis Tools for Public Health: A Cross-Sectional Survey
• Infodemic Insights on Trust in a Health Emergency: A Narrative Deep-Dive
• Prototype Expert System for Gout Diagnosis on an Outpatient Basis
• Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning
• Facilitating Interprofessional Collaboration on Electronic Medicines Management
• Diagnostic Classification of ASD Using Fractal Functional Connectivity of fMRI and Logistic Regression
• Diagnostic Classification of ASD Improves with Structural Connectivity of DTI and Logistic Regression
• Multi-Class Seizure Type Classification Using Features Extracted from the EEG
• "DOMINO - Stop Domestic Violence". An Educational Mobile Application
• Preconditions for Implementing a Nursing App to Improve Digital Maturity
• Identifying the Optimal Location of Facial EMG for Emotion Detection Using Logistic Regression
• A Machine Learning Study to Predict Anxiety on Campuses in Lebanon
• Leadership and Intention to Leave Among Public Health Sector Physicians in Cyprus: A National Cross-Sectional Study
• Brain Tumor Classification and Segmentation Using Dual-Outputs for U-Net Architecture: O2U-Net
• Understanding Health Records in West Slavic Languages: Available Resources, Case Study in Oncology
• Training Healthcare Professionals to Mitigate the Climate Challenge - Development of a Lean Six Sigma E-Learning
• Experience from the Development of HL7 FHIR IG for Gatekeeper Project
• FHIR DataProvider for ReactAdmin: Leveraging User Interface Creation for Medical Web Applications
• Predicting Mortality in COVID-19 Patients Using 6 Machine Learning Algorithms
• An Overview About Connected Medical Devices and Their Risks
• Rapid Review on Publicly Available Datasets for Health Misinformation Detection
• A Regressive Model to Study the Hospitalization for Laparoscopic Appendectomy: A Multicenter Study
• Effect of Clinical and Demographic Variables on the Hospital Stay of Patients Undergoing Total Knee Arthroplasty
• The Classification Algorithms Applied to the Inpatient Stay for Lower Limb Surgery
• Context-Sensitive Common Data Models for Genetic Rare Diseases - A Concept
• COVID-19 Mobile Apps Trends Derived from Long-Term Google Play Analysis
• Conciliation and Approval of Quality Principles for the Self-Declaration of the Quality of Health Apps
• Decreasing Admissions but Increasing Readmissions for Mental Health in-Patient Treatment in Scotland, UK
• Do Health Apps Stigmatize People with Obesity?
• Health Digital Twins with Clinical Decision Support
• Microbiological and Virological Knowledge-Based Alert Service
• Analyzing Twitter-Based Social Networks of Support Communities for Hispanic and African American Family Caregivers of Persons with Dementia
• Evaluation of Completeness, Comparability, Validity, and Timeliness in Cancer Registries: A Scoping Review
• Desiderata for the Data Governance and FAIR Principles Adoption in Health Data Hubs
• Predicting Prediabetes Using Simple a Multi-Layer Perceptron Neural Network Model
• Exercise Exertion Levels Prediction Based on Real-Time Wearable Physiological Signal Monitoring
• Factors Influencing the Evolution of Topics in Biomedical Informatics
• An Ontology Design Pattern for Modeling Experimental Paradigms
• Attitudes Toward Plagiarism Among PhD Medical Students in Serbia
• Digital Tools in UMLS Metathesaurus Knowledge Processing
• A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining
• Towards FAIR Data Standardization Using FHIR Genomics Resources Integration in Obstetrics-Gynecology Department Systems
• Psychometric Properties of the Serbian Version of the Attitudes Towards Research Questionnaire
• Provision of Decision Support Through Continuous Prediction of Recurring Clinical Actions
• Patient-Centric Interoperability and Cybersecurity for Cross-Border Healthcare
• Why There Is a Need to Promote Media Literacy in the Use of Medicines and Health Products in Thai Older Adults?
• Interoperable Universal Resource Identifier for Selective Disclosure of Data
• The Biomedical and Health Informatics Recommendation Domains in Relation to the Nurse Competence Scale Categories
• Development of Tuberculosis Vulnerability Assessment Conceptual Framework Using Automatic Content Analysis
• Human Factors Influencing the Experience of Healthcare Professionals Using Digital Tools
• Use of Real-World Data to Support Adverse Drug Reactions Prevention During ePrescription
• Diabetes Prevalence and Duration Data Extracted from Outpatient Records Representative for the Bulgarian Population
• Response Time Improvement in Medical Emergency Departments Through Evolutionary Optimization
• TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research
• Review of Care Transition Records and Their Transmission Process in Nursing Facilities and Hospitals in Germany - Results of an Online Questionnaire
• Machine Learning Approaches for Detecting Coronary Artery Disease Using Angiography Imaging: A Scoping Review
• Modeling Cholecystectomy Hospital Stay Through a Linear Approach
• Pandemics and Health Crisis in ICU of Two Greek Public Hospitals
• From Assessment to Action: Exploring the Dynamics Between Maturity Assessments and Strategy Implementation in Digital Health
• Prediction of Hospital Length Stay for Patients Undergoing Mastectomy
• An Artificial Intelligence-Based Diagnostic System for Acute Lymphoblastic Leukemia Detection
• Decentralization of Clinical Trials: Opportunities, Risks and Development Paths
• The Knowledge of Implementation Strategies: Impact of the Installed Base
• Change of Technology Use Among Community-Dwelling Older Adults During the COVID-19 Pandemic
• Machine Learning for Diagnosis and Screening of Chronic Lymphocytic Leukemia Using Routine Complete Blood Count (CBC) Results
• Estimating Blood Glucose Levels Using Machine Learning Models with Non-Invasive Wearable Device Data
• Harmonisation of German Health Care Data Using the OMOP Common Data Model - A Practice Report
• Wearable AI Reveals the Impact of Intermittent Fasting on Stress Levels in School Children During Ramadan
• The Slovenian Patient Summary: One Digital Record, Multitude of Applications
• Evaluation of the Availability of Nursing Quality Indicators in German FHIR Implementations
• The Efficacy of Long-Term Hydroxychloroquine Use in the Prevention of COVID-19: A Retrospective Cohort Study
• Using Technology to Enhance Community Health and Territorial Resources Access
• MYeHealthAppCY: A Healthcare Mobile Application in Cyprus
• Did We Have Sex? Proposal for an eHealth Solution to Warning Sexual Contacts of an STI Risk
• A Method to Predict Comorbid Conditions Using Risk Factor Profile of Multiple Fluid Biomarkers
• SNA: The Optimal Nodes to Raise Nurses' Infosec Awareness
• Medical Device Safety Training by Using Quick Response Codes and Extended Reality-Based Technologies
• Achieving Interoperable Datasets in Pediatrics: A Data Integration Approach
• From Raw Data to FAIR Data: The FAIRification Workflow for Brazilian Tuberculosis Research
• Data and Information Problems in Health Care and How Creative Methods Might Solve Them
• ClinApp: A Microservices-Based Platform for Efficient Medical Visit Scheduling
• Wearable Device Health Data Mapping to Open mHealth and FHIR Data Formats
• Investigation of Sleep Quality and Mental Health of Greek Physicians During the COVID-19 Pandemic
• eHealth4U: A DEMO of a Prototype National Electronic Health Record for Cyprus
• Clinical Decision Support Systems Applied to the Management of Breast Cancer Patients: A Scoping Review
• Questionnaire to Capture the Over Time User Preference During the Comparison of Pharmacovigilance Software Systems
• Legal and Ethical Challenges in the Development of mHealth Applications
• The User, the Watch, and the Bestseller: Study on the Utilization of Smart Medical Wearables and Their User Manuals
• Assimilation Results Comparison of Educational Material by Senior Students of a Medical University in Distance and Face-to-Face Form Education
• Data Quality Estimation Via Model Performance: Machine Learning as a Validation Tool
• Development of a Mobile Application with Health Guidelines for TB Patients Care
• Using Redcap to Support the Development of a Learning Healthcare System for Patients with Multiple Sclerosis
• Nurse Scheduling with State-of-the Art Open-Source Tools
• Is Medical Informatics a Scientific Discipline or Just Applied Computer Science?
• Towards Improving Data Quality in Electronic Medical Records: An Investigation of Data Completeness in a Tertiary Hospital in Rwanda
• Community-Centered User Research for the Development of the WHO's Epidemic and Pandemic Preparedness Platform, the Hive
• Representing NIH Genetic Test Registry Data in the FHIR Genomic Study Resource
• Cervical Intraepithelial Neoplasia Grading from Prepared Digital Histology Images
• Patient Perceptions of a Virtual Reality-Based System for Pulmonary Rehabilitation: A Qualitative Analysis
• Implementation of 3D Printing in Various Healthcare Settings: A Scoping Review
• The Progress of Speech Recognition in Health Care: Surgery as an Example
• Automatic Profiles Collection from Twitter Users with Depressive Symptoms
• Arden Syntax on FHIR
• Web and Mobile Enabled Application for Public Health Inspections
• Survey Results on Online Teaching and Learning Environments in the European EMMA Project
• An Overview of Metabolomics Studies Based on Qatari Population
• Recurrent vs Non-Recurrent Convolutional Neural Networks for Heart Sound Classification
• Comparing Emotional Valence Scores of Twitter Messages from Human Coding and Machine Learning Algorithms Among Hispanic and African American Family Caregivers of Persons with Dementia
• Digital Analysis of Clinical Screening Criteria for a Rare Disease - Behcet's Disease
• Use of My Kanta in Finland 2010-2022
• Performance of Artificial Intelligence in Predicting Future Depression Levels
• Usability Assessment of an Electronic Medical Record-Embedded Clinical Decision Support System for Arterial Blood Gas Interpretation
• Remote Monitoring of Patients with Implantable Devices-Telemonitoring and Chronic Diseases
• Stroke Patients' Management During COVID-19 Pandemic: Results from the Sun4Patients Web-Based Registry
• Revolutionizing Healthcare with Foundation AI Models
• Data Quality in Healthcare for the Purpose of Artificial Intelligence: A Case Study on ECG Digitalization
• Information Messages Related to Mental Health Status Among Caregivers in Rural of Thailand
• Analysis of Non-Contact Multichannel Recording of Cardiac Vibration: Visual Seismocardiogram
• COVID-19 in Eye Surgery: The Case of a University Hospital
• A Conversational Web-Based Chatbot to Disseminate COVID-19 Advisory Information
• Predicting In-Hospital Mortality During the COVID-19 Pandemic in Patients with Heart Failure: A Single-Center Exploratory Study
• Integration of Laboratory Data into a National Electronic Health Record (EHR)
• UPRITE: Promoting Positive Posture in Children and Adolescents
• An Automated System to Distribute Students to Clerkships
• Non-Alcoholic Fatty Liver Disease Diagnosis with Multi-Group Factors
• Digital Transformation Efforts in Greece: Evaluation of the E-Prescription System
• Implementing Informative-Based Active Learning in Biomedical Record Linkage for the Splink Package in Python
• What Kind of Ontologies Do We Need in the Biomedical Domain?
• Automated ML Techniques for Predicting COVID-19 Mortality in the ICU
• Extended Reality Solutions in Medical Context and Educational Approaches
• Combining NLP and Machine Learning for Differential Diagnosis of COPD Exacerbation Using Emergency Room Data
• Impact of Automated Medication Refills on Adherence and Medication Wastage: Saudi Tertiary Hospital
• User Experiences on the Implementation of Exoskeletons in Care Work
• Organizational and Human Factors in Green Medical Informatics - A Case Study in Dutch Hospitals
• Application of Topic Modeling on Artificial Intelligence Studies as a Foundation to Develop Ethical Guidelines in African American Dementia Caregiving
• Mining Greek Tweets on Long COVID Using Sentiment Analysis and Topic Modeling
• A Deep Learning Model for Classifying Histological Types of Colorectal Polyps
• Creative Art Therapy as an Efficient Way to Improve the Well-Being of People Living with Dementia
• A Computational Infrastructure for Analyzing Tuberculosis Research Data in Brazil
• AI Techniques to Identify Nerve Cell Alterations in Digital Images
• Quality and Traceability of Starting Materials from Supplier to Recipient
• Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program
• Acceptance of Artificial Intelligence in Supporting Cancer Patients
• Training ChatGPT Models in Assisting Urologists in Daily Practice
• Why and When Physicians Google: Resident Physicians' Information-Seeking Strategies During Patient Consultations
• User Needs of Young Czech Adults with Multiple Sclerosis in a Lifestyle App Design
• Radiogenomics in NF2-Associated Schwannomatosis (Neurofibromatosis Type II): Exploratory Data Analysis
• Factors Associated with Incomplete Telemedicine Visits at an Virtual Urgent Care Center
• Health Informatics Training Programs to Strengthen Health Workforce in Montenegro
• Western Balkan Network for Youth Support and Counselling Service in Digital Era
• Montenegrin Digital Academic Innovation Hub: Supporting Digital Education, Business and Innovations in Medical Informatics
• Train Digital Entrepreneurship on Health Informatics in Western Balkan Countries
• Interoperable E-Health System Using Structural and Semantic Interoperability Approaches in CAREPATH
• Integrating IoT Wearable Devices in Telemonitoring Platforms for Continuous Assisted Living Services
• Deep Learning in Colorectal Cancer Classification: A Scoping Review
• A Review of Requirements for Information Models in Learning Health Systems
• A Deep Learning-Based Approach Towards Simultaneous Localization of Optic Disc and Fovea from Retinal Fundus Images
• Optical Disc Segmentation from Retinal Fundus Images Using Deep Learning
• Predicting Overall Survival in METABRIC Cohort Using Machine Learning
• Using AI for Detection, Prediction and Classification of Retinal Detachment
• Scoping Review: Legal and Ethical Principles of Artificial Intelligence in Public Health
• The Pros and Cons of Using ChatGPT in Medical Education: A Scoping Review
• Applications of Artificial Intelligence (AI) in Medical Education: A Scoping Review
• Predicting Long-Term Type 2 Diabetes with Artificial Intelligence (AI): A Scoping Review
• Understanding Correlations of Loneliness in India and USA
• Subject Index
• Author Index