The Importance of Health Informatics in Public Health during a Pandemic

J. Mantas, A. Hasman, M.S. Househ, Arie Hasman, Mowafa S. Househ, Emmanouil Zoulias

• Publisher: SAGE Publications Ltd
• Year: 2020
• Print ISBN: 9781643680927
• eBook ISBN: 9781643680934
• Edition: 1
• Topic: Medicine
• Subtopic: Public Health, Administration & Care

The COVID-19 pandemic has increased the focus on health informatics and healthcare technology for policy makers and healthcare professionals worldwide. This book contains the 110 papers (from 160 submissions) accepted for the 18th annual International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2020), held virtually in Athens, Greece, from 3 – 5 July 2020. The conference attracts scientists working in the field of Biomedical and Health Informatics from all continents, and this year it was held as a Virtual Conference, by means of teleconferencing, due to the COVID-19 pandemic and the consequent lockdown in many countries around the world. The call for papers for the conference started in December 2019, when signs of the new virus infection were not yet evident, so early submissions were on the usual topics as announced. But papers submitted after mid-March were mostly focused on the first results of the pandemic analysis with respect to informatics in different countries and with different perspectives of the spread of the virus and its influence on public health across the world. This book therefore includes papers on the topic of the COVID-19 pandemic in relation to informatics reporting from hospitals and institutions from around the world, including South Korea, Europe, and the USA. The book encompasses the field of biomedical and health informatics in a very broad framework, and the timely inclusion of papers on the current pandemic will make it of particular interest to all those involved in the provision of healthcare everywhere.

Table of contents

• Title Page
• Preface
• Scientific Programme Committee and Reviewers
• Contents
• Unsupervised Machine Learning for the Discovery of Latent Clusters in COVID-19 Patients Using Electronic Health Records
• Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research
• E-Health in Norway Before and During the Initial Phase of the Covid-19 Pandemic
• Setting up an Easy-to-Use Machine Learning Pipeline for Medical Decision Support: A Case Study for COVID-19 Diagnosis Based on Deep Learning with CT Scans
• Evidence-Based Health Intelligence with Globally Localized Epidemic Knowledge Base: Merging Pathological Data, Socio-Environmental Data and Intervention Knowledge Data
• Epidemiological Analysis of the Covid-19 Epidemic in Greece
• Application of Topic Modeling to Tweets as the Foundation for Health Disparity Research for COVID-19
• 200 Years Since the Birth of Nursing Informatics?
• Remote Monitoring of Patients in Quarantine in the Era of SARS-CoV-2 Pandemic
• Safety Justification of Healthcare Applications Using Synthetic Datasets
• Lessons Learned: Implementation of a Nationwide Innovative E-Learning Module for Health Enabling Technologies
• The Mishandling of Anonymity in Terms of Medical Research Within the General Data Protection Regulation
• Legal Challenges for IT Service Providers in Pharmacogenomics
• Comparison of Machine Learning Algorithms for Classifying Adverse-Event Related 30-Day Hospital Readmissions: Potential Implications for Patient Safety
• Semiautomated Approach for Muscle Weakness Detection in Clinical Texts
• Confirmatory Factors to Nursing Practice for Patient Safety of Nurses in Kalasin Hospital, Kalasin Province, Thailand
• Patient Awareness of the Severity of Their Information and Medication Management-Related Adverse Events
• The Quality Improvement Information System for Surveillance and Monitoring for Patient Safety and Personal Safety in Kalasin Hospital, Kalasin Province, Thailand
• Iconic Visualization of Sickle Cell Patients Current and Past Health Status
• Using Machine Learning Algorithms to Predict Antimicrobial Resistance and Assist Empirical Treatment
• Process Coverage and Use Case Support of Health Registry Software in Germany
• Enhancing Medical Education with Data-Driven Software: The TrainCoMorb App
• Evaluating the Students' View of Medical and Paramedical Sciences About Perceived Benefits and Barriers of Virtual Social Networks for Learning Purposes
• Visualization of Potential Drug Synergies
• Use of Natural Language Processing for Precise Retrieval of Key Elements of Health IT Evaluation Studies
• Local Distortion Hiding Algorithm in Medical Data: A Case Study Using CART
• Development of a Presentation Interface for Seismo- and Ballistocardiographic Data
• Visualization of Drug Interactions for Supporting Medication Review
• Determining Role of Social Factors in Adoption of Electronic Health Records by Nurses
• An Approach Based on Preference Learning for Identifying Experts Reasoning in Antibiotic Treatment
• eHealth Literacy Training Among Carers of Older People and People with Dementia: A Modified Delphi Survey
• Innovation in Cancer Treatment: The Impacts of Robotic-Assisted Surgery Adoption at the Brazilian National Cancer Institute
• The Confirmatory Factor Analysis of Quality Assurances Among Medical Laboratory in the Primary Care Units: Roi - Et, Thailand
• Application of Geographic Information Systems (GIS) to Analyse and Detect the Risk of Chronic Diseases in the Elderly
• Personalized Biomechanic Models: Factors Affecting Shoulder Motion
• DONOR-FINDER: A Web Tool for the Automatic Comparison of Genomic Profiles in ART
• K-Means Clustering in Monitoring Facility Reporting of HIV Indicator Data: Case of Kenya
• Coping with Information Technology Downtime in Hospitals: A Scoping Study
• PrositNG - A Machine Learning Supported Disease Model Generation Software
• Implementation of a Secured Cross-Institutional Data Collection Infrastructure by Applying HL7 FHIR on an Existing Distributed EMR Storages
• Towards an Architecture for the Interoperability of Hospital Information Systems in Burkina Faso
• The HiGHmed Didactical Framework for Online Learning Modules on Medical Informatics: First Experiences
• Assessment of HIV Data Reporting Performance by Facilities During EMR Systems Implementations in Kenya
• Validation of an Automatic Wrist Blood Pressure Monitor in a Critical Care Setting
• Wireless Monitoring Through Wearable Devices in the ICU: Are We Close?
• A Method of Justifying Confidence in the Safety of Digital Health Interventions
• Integrating Socially Assistive Robots into Japanese Nursing Care
• A Comparative Study of the Arden Syntax and GDL Clinical Knowledge Representation Languages
• The Classification of Scientific Literature for Its Topical Tracking on a Small Human-Prepared Dataset
• Association Between Number of Actionable Pharmacogenetic Variants and Length of Hospital Stay
• Using Long Short-Term Memory (LSTM) Neural Networks to Predict Emergency Department Wait Time
• Automated Nerve Fibres Identification and Morphometry Analysis with Neural Network Based Tool in MATLAB
• Using PM-TOM for the Minimization of Adverse Drug and Gene Interactions in Therapies for Common Multi-Diseases
• Students' Perceptions on Chatbots' Potential and Design Characteristics in Healthcare Education
• Charting Early Developmental Trajectory of a Pilot Rare Disease Registry in Slovenia
• Introducing DRGs into Greek National Healthcare System, in 27 Weeks
• Health Record Index: Secure Access of Cloud-Stored Healthcare Data
• Evaluating Interactivity in VR Healthcare Applications Using Analytics
• Meta-Analysing Methodological Quality of Published Research: Importance and Effectiveness
• Availability of Standardized Electronic Patient Data in Nursing: A Nationwide Survey of Austrian Acute Care Hospitals
• Nursing Staff's Awareness of Processing Personal Data According to GDPR
• Cross-Correlation Based Automated Segmentation of Audio Samples
• Google Trends and Seasonal Effects in Infodemiology: A Use Case About Obesity
• Quantification of Lower Limb and Spine Muscle Activity in Manual Patient Handling - A Case Study
• Urgent Need for Developing a Framework for the Governance of AI in Healthcare
• Initiative Quality Assurance Culture for Medical Laboratory Activities in the Primary Care Units Staff: A Case Study in Roi Et, Thailand
• Illustration of Clinical Decision Support System Development Complexity
• Digitalizing Nursing in the Bavarian Swabia Region of Germany - Presentation of the Joint Project CARE REGIO
• Online Education for Vaccination Competence Among Health Sciences Students
• User-Centred Design of a Mobile Application for Chronic Pain Management
• Data Sharing in Pharmaceutical Supply Chains - Case European Medicines Verification System
• Integration of International Classification of Diseases Version 11 Application Program Interface (API) in the Rwandan Electronic Medical Records (openMRS): Findings from Two District Hospitals in Rwanda
• An Analysis of the Growth in Uptake of OpenWHO's Online Learning Resources for COVID-19
• Campus Mental Well-Being: Opportunities for Digital Health
• Transition Requirements from Problem List to an Overarching Care Plan for the Support of Person-Centered Care
• Guideline-Based Decision Support System for Nursing Homes: A Case Study with the Management of Malnutrition
• Using openEHR in XDS.b Environments - Opportunities and Challenges
• Global Access to OpenWHO's Online Learning Resources for COVID-19
• Accessibility and Web Quality Information for People with Disabilities in Healthcare Structures
• Fitbit Accuracy Depends on Activity Pace and Placement Location
• Factors Affecting Medical Tourism Destination Selection in Greece
• A Protocol Entry Catalog for Intraoperative Neuromonitoring - Steps Towards an Ontology
• Generation of Realistic Synthetic Validation Healthcare Datasets Using Generative Adversarial Networks
• Decision Support System for Selection of e-Health Interventions
• Multidisciplinary Approach for Education in Healthcare Management: Case Study from Montenegro
• Towards Intelligent Integration and Sharing of Stem Cell Research Data
• Model Driven Approach for Development of Person-Centred Care in Stroke Rehabilitation
• Supporting Active Pharmacovigilance via IT Tools in the Clinical Setting and Beyond: Regulatory and Management Aspects
• Association Between System Usage Pattern and Impact of Web-Based Telerehabilitation in Patients with Multiple Sclerosis
• Rules Based Data Quality Assessment on Claims Database
• Challenges of the Slovenian Healthcare System Exposed in Hospitals' Recovery Plans
• Disparities in Racial and Ethnic Representation in Stem Cell Clinical Trials
• A 3D Surface Fitting Layout for Complex Networks Visualization
• Using Big Data to Predict Outcomes of Opioid Treatment Programs
• Classification of Intracranial Hemorrhage Subtypes Using Deep Learning on CT Scans
• Public Private Partnerships Delivering Smart Health to Combat the Tsunami of Noncommunicable Diseases
• Introducing an Ontology-Driven Pipeline for the Identification of Common Data Elements
• Evaluating the Use of a PRO Questionnaire in Clinical Practice
• Obstructive Sleep Apnea: A Prediction Model Using Supervised Machine Learning Method
• Transfer Physical Therapists Knowledge: A Pre-Test to Minimize the Complexity of Physical Therapists' Quality Assessment of Shoulder Exercise Performance
• A Digital Clinical Guideline Based on HL7 Arden Syntax for the Treatment of Children with Traumatic Brain Injury
• Statistical Analysis of Air Pollutants Concentration and Health Information Related to Respiratory Disease Patients in Bangkok, Thailand
• Google Maps: Prevalence and Distribution of Uncontrolled Type 2 Diabetes Mellitus in Kalasin Province, Thailand
• From Many to One: Designing a Unified Flowsheet in the EMR to Replace Multiple Disparate Devices
• Sun4Patients Web Platform: Facilitating Long-Term Monitoring of Stroke Patients
• System of Criteria for Treatment Evaluation of Acromegaly in Bulgaria
• Discrepancy Between Personal Experience and Negative Opinion with Human Papillomavirus Vaccine in Web Forums
• Access of Stroke Patients' to Optimal Healthcare Technology in Greece: Messages to Policy Makers
• Semantic Web of Things (SWoT) for Global Infectious Disease Control and Prevention
• Exploring Unsupervised Query Paraphrasing to Identify Relevant Search Phrases for a Literature Review
• Applying Artificial Intelligence to Predict Self-Reported Poor Health Among Black and Hispanic Caregivers with Mild Cognitive Impairment
• Effective Design of Serious Games for Children with Chronic Diseases: The Role of Parents and Caregivers
• Developing Patients' Experiences Database After Hospital Discharge: Another Step in Improving Stroke Care
• The Dissemination and Communication Plan and Activities of the CrowdHEALTH Project: "Collective Wisdom Driving Public Health Policies"
• Determining and Evaluating the Dissemination and Exploitation Plans and Activities for the CrowdHEALTH Project: The Role of the Impact Creation Board
• Understanding the Food Habits and Physical Activities of Diabetes Cohort in Qatar
• An Efficient Method to Predict Pneumonia from Chest X-Rays Using Deep Learning Approach
• Semantic Reconciliation of Standard and Localized Medical Terminologies for Knowledge Interoperability
• Cardiovascular Diseases in Qatar: Smoking, Food Habits and Physical Activities Perspectives
• The Impact of Clinical Decision Support Systems (CDSS) on Physicians: A Scoping Review
• Health Informatics Association of Qatar (HIAQ): Building a Digital Health Ecosystem
• Machine Learning Models Reveal the Importance of Clinical Biomarkers for the Diagnosis of Alzheimer's Disease
• The European Educational Programs in Biomedical and Health Informatics
• The Accreditation Procedure Ensures Quality of Education in Biomedical and Health Informatics
• The Importance of Health Informatics in Public Health During the COVID-19 Pandemic
• Subject Index
• Author Index