dHealth 2019 – From eHealth to dHealth

Proceedings of the 13th Health Informatics Meets Digital Health Conference

D. Hayn, A. Eggerth, G. Schreier, Dieter Hayn, Günter Schreier

• Publisher: SAGE Publications Ltd
• Year: 2019
• Print ISBN:
  9781614999706
• eBook ISBN:
  9781614999713
• Edition: 1
• Topic: Medicine
• Subtopic: Public Health, Administration & Care

We have all become familiar with the term 'eHealth', used to refer to health informatics and the digital aspects of healthcare; but what is dHealth? This book presents the proceedings of the 13th annual conference on Health Informatics Meets Digital Health (dHealth 2019), held in Vienna, Austria, on 28 – 29 May 2019. In keeping with its interdisciplinary mission, the conference series provides a platform for researchers, practitioners, decision makers and vendors to discuss innovative health informatics and eHealth solutions to improve the quality and efficiency of healthcare using digital technologies. The subtitle and special focus of dHealth 2019 is 'from eHealth to dHealth', which stresses that healthcare will in future become ever more data-driven. While eHealth in general concerns healthcare IT solutions and professional healthcare providers, dHealth addresses broader fields of application in many areas of life, including sensors and sensor informatics, networks, genomics and bioinformatics, data-centered solutions, machine learning, and many more. The 32 papers included here provide an insight into the state-of-the-art of different aspects of dHealth, including the design and evaluation of user interfaces, patient-centered solutions, electronic health/medical/patient records, machine learning in healthcare and biomedical data analytics, and the book offers the reader an interdisciplinary approach to digital health. It will be of interest to researchers, developers, and healthcare professionals alike.

Table of contents

• Title Page
• Preface
• Scientific Programme Committee
• Reviewers
• Contents
• Creating Individualized Education Material for Diabetes Patients Using the eDiabetes Platform
• Towards Smart Adaptive Care Toilets
• Evaluation of Depth Cameras for Use as an Augmented Reality Emergency Ruler
• Electronic Medical Records for Mental Disorders: What Data Elements Should These Systems Contain?
• Exchanging Appointment Data Among Healthcare Institutions
• Application of Named Entity Recognition Methods to Extract Information from Echocardiography Reports
• Health Care Atlases: Informing the General Public About the Situation of the Austrian Health Care System
• Improving the Prediction of Emergency Department Crowding: A Time Series Analysis Including Road Traffic Flow
• Information Adapted Machine Learning Models for Prediction in Clinical Workflow
• Evaluation of Chatbot Prototypes for Taking the Virtual Patient's History
• Evaluation of Deep Clustering for Diarization of Aphasic Speech
• Ensemble Based Approach for Time Series Classification in Metabolomics
• Achieving an Interoperable Data Format for Neurophysiology with DICOM Waveforms
• A Comprehensive FXR Signaling Atlas Derived from Pooled ChIP-seq Data
• Robust Comparison of Simultaneous EEG Recordings Using Kalman Filters and Gaussian Mixture Models
• Development of a National Roadmap for Electronic Prescribing Implementation
• Design and Evaluation of a Smart Medication Recommendation System for the Electronic Prescription
• Use of ICPC-2 - Current Status, Strengths and Weaknesses of the System
• Exploratory Analysis of Motion Tracking Data in the Rehabilitation Process of Geriatric Trauma Patients
• Requirements for a Telemedicine Center to Monitor LVAD Patients
• Empowering Diabetes Patients with Interventions Based on Behaviour Change Techniques
• Topics for Continuous Education in Nursing Informatics: Results of a Survey Among 280 Austrian Nurses
• Pre-Navigation via Interactive Audio Tactile Maps to Promote the Wellbeing of Visually Impaired People
• Socially Assistive Robots (SAR) in In-Patient Care for the Elderly
• Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?
• Photographic LVAD Driveline Wound Infection Recognition Using Deep Learning
• Improving Information About Private Consultants Through Data Linkage
• Performance of Hospitals in Protecting the Confidentiality and Information Security of Patients in Health Information Departments
• Patient Record Linkage for Data Quality Assessment Based on Time Series Matching
• eHealth Service for Integrated Care and Outpatient Rehabilitation - Pilot Application of the Tyrol Stroke Pathway
• Expressing Patient Selection Criteria Based on HL7 V3 Templates Within the Open-Source Tool ART-DECOR
• Predictive Modelling and Its Visualization for Telehealth Data - Concept and Implementation of an Interactive Viewer
• Subject Index
• Author Index