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Journal Stud Health Technol Inform

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The Importance of Health Informatics in Public Health During the COVID-19 Pandemic.

John Mantas,

The COVID-19 pandemic became a challenge to all the health care systems across the world causing at places collapse of the healthcare systems and endangering the healthcare professionals and consequently the public health. One powerful tool for the healthcare systems and the policy makers is Health Informatics. This brief article ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:487-488]

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The Impact of Clinical Decision Support Systems (CDSS) on Physicians: A Scoping Review.

Raghad Muhiyaddin, Alaa A Abd-Alrazaq, Mowafa Househ, Tanvir Alam, Zubair Shah,

Clinical Decision Support Systems (CDSSs) are used in a clinical setting to help physicians make decisions to improve clinical performance and patient care. There are many benefits to the implementation and adoption of CDSSs, such as reducing the rate of misdiagnosis, improving efficiency and patient care, and reducing the risk ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:470-473]

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Determining and Evaluating the Dissemination and Exploitation Plans and Activities for the CrowdHEALTH Project: The Role of the Impact Creation Board.

John Mantas, Andriana Magdalinou, Patrick Weber, Parisis Gallos, Lydia Montandon,

Determining and evaluating the dissemination and exploitation plans and activities of research projects can be a challenging task. This paper presents an overview of the role of the Impact Creation Board in the identification and assessment of the dissemination and exploitation plan and activities for the CrowdHEALTH project "Collective wisdom ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:449-452]

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Exploring Unsupervised Query Paraphrasing to Identify Relevant Search Phrases for a Literature Review.

Laura-Maria Peltonen, Miretta Tommila, Hans Moen,

Literature databases have multifaceted search options, but emerging research areas do not have an established terminology and therefore it is difficult to find relevant literature when conducting a review. This study aimed to explore if an unsupervised paraphrasing approach is useful in identifying relevant search phrases for a literature review ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:429-432]

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Sun4Patients Web Platform: Facilitating Long-Term Monitoring of Stroke Patients.

George Papastefanatos, Stefanos Papastefanatos, Eleni Korompoki, Petros Galanis, Olympia Konstantakopoulou, Iliana Karagkouni, Parisis Gallos, George Ntaios, Kostas Vemmos, Olga Siskou,

SUN4Patients is an observational study for the monitoring of patients with first ever acute stroke. For the support of this study, an online platform has been developed which facilitates the collection of various information related to hospital discharge, health services utilization and loss of productivity of the patients. This paper ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:411-412]

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Transfer Physical Therapists Knowledge: A Pre-Test to Minimize the Complexity of Physical Therapists' Quality Assessment of Shoulder Exercise Performance.

Birgit Saalfeld, Lena Elgert, Bianca Steiner, Klaus-Hendrik Wolf,

Exercise therapy aims to restore normal musculoskeletal function or to reduce pain in patients with musculoskeletal shoulder disorders. Especially during long-term treatments, patients perform unsupervised exercises at home. Harmful movement deviations should be identified and avoided. Assistive technologies based on physical therapists' knowledge can support patients. In this paper, we ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:391-394]

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Classification of Intracranial Hemorrhage Subtypes Using Deep Learning on CT Scans.

Gleb Danilov, Konstantin Kotik, Anna Negreeva, Tatiana Tsukanova, Michael Shifrin, Natalya Zakharova, Artem Batalov, Igor Pronin, Alexander Potapov,

Intracranial hemorrhage is a pathological condition that requires fast diagnosis and decision making. Recently, a neural network model for classification of different intracranial hemorrhage types was proposed by a member of our research group Konstantin Kotik as part of the machine learning competition at Kaggle. Our current pilot study aimed ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:370-373]

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Rules Based Data Quality Assessment on Claims Database.

Mary A Gadde, Zhan Wang, Meredith Zozus, John B Talburt, Melody L Greer,

Data quality problems in coded clinical and administrative data have persisted ever since diagnoses and procedures were first coded and used for healthcare billing. These data are used in clinical decision-making introducing a route for iatrogenesis. As we share data on regional Health Information Exchanges (HIEs) and include them in ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:350-353]

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Multidisciplinary Approach for Education in Healthcare Management: Case Study from Montenegro.

Ivana Ognjanović, Ramo Šendelj, Elske Ammenwerth,

Modern education of healthcare managers is one of key preconditions in making reforms towards increasing quality of care and making the provision of health services more cost-effective and efficient. This paper presents unique multidisciplinary approach for education of healthcare managers developed and accredited in Montenegro with elaboration results of the ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:330-333]

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Fitbit Accuracy Depends on Activity Pace and Placement Location.

Chenhao Wei, Daniel Robins, Joseph Finkelstein,

This study is designed to measure the concordance of step counts recorded by Fitbit activity trackers when the devices are placed on multiple locations of the body and while subjects climb stairs at fast, slow, and medium paces. Nine participants wore 5 Fitbit trackers concurrently while performing the stair-climbing activity. ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:310-313]

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Transition Requirements from Problem List to an Overarching Care Plan for the Support of Person-Centered Care.

Felix Cillessen, Jacob Hofdijk,

To keep healthcare effective, accessible and affordable to all we need a fundamental paradigm shift. Self-management for prevention and care with the help of healthcare professionals, having a shared view of the state of well-being, will play a significant role in this transition. The problem list is widely adopted as ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:292-295]

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User-Centred Design of a Mobile Application for Chronic Pain Management.

Berglind F Smaradottir, Asbjørn J Fagerlund, Johan Gustav Bellika,

Chronic pain patients constitute a large and heterogeneous patient group and it is important to build tools and methods that can identify efficient treatment options for each individual patient. It is estimated that 20-30% of the population has suffered from chronic pain and this imposes enormous costs on society and ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:272-275]

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Urgent Need for Developing a Framework for the Governance of AI in Healthcare.

Mansoor Ali Baig, Mohamad A Almuhaizea, Jumanah Alshehri, Mohammad Shouki Bazarbashi, Fahad Al-Shagathrh,

Lately, the application or integration of Artificial Intelligence in various areas of the Healthcare domain has been a prime attraction; this includes diagnostics, medicine/drugs, medical devices, interventions/procedures, imaging, therapies as well as treatment regimes, and these areas are in direct relation with the patient care, which is the core subject ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:253-256]

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Availability of Standardized Electronic Patient Data in Nursing: A Nationwide Survey of Austrian Acute Care Hospitals.

Renate Nantschev, Elske Ammenwerth,

A large amount of patient data is produced and documented in patient care. Health care professionals expect that this routinely collected patient data can also be used for secondary purposes such as measuring the quality of care or to gain new knowledge. Routine data needs to be documented in a ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:233-236]

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Charting Early Developmental Trajectory of a Pilot Rare Disease Registry in Slovenia.

Dalibor Stanimirovic, Eva Murko, Tadej Battelino, Urh Groselj,

Active surveillance of rare diseases enables evidence-informed policymaking, wide-ranging monitoring of rare disease patients, and subsequently assists progressively complex clinical and research needs. This article charts the initial steps for the development of a pilot rare disease registry in Slovenia. The research applies a case study design, while the collection ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:213-216]

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Association Between Number of Actionable Pharmacogenetic Variants and Length of Hospital Stay.

Joseph Finkelstein, Frederick Zhang, Manuel Cabrera,

The goal of this study was to evaluate association between number of pharmacogenetic variants and length of hospital stay. Electronic medical records were combined with exome sequencing results in 450 hospitalized patients. De-identified data set was used to characterize urgent care utilization and to identify presence of 44 actionable pharmacogenetic ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:195-198]

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Wireless Monitoring Through Wearable Devices in the ICU: Are We Close?

Marianna Diomidous, Maria Dalamaga, Markos Nikolopoulos, Evangelos Tzortzis, Theodora Stratigou, Georgios Antonakos, Irene Karampela,

Patients admitted to the ICU present life-threatening conditions requiring support from multidisciplinary specialists and continuous monitoring of vital signs and other parameters by a state-of-the-art medical technology. Wireless monitoring through wearable devices could be useful for hospitalized patients, particularly those who are unstable or at higher risk for serious complications ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:175-178]

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Implementation of a Secured Cross-Institutional Data Collection Infrastructure by Applying HL7 FHIR on an Existing Distributed EMR Storages.

Katsuya Tanaka, Ryuichi Yamamoto,

A secure data collection infrastructure was implemented in which Health Level-7 (HL7) Fast Healthcare Interoperative Resources (FHIR) was applied according to standardized electronic medical record (EMR) storage. This infrastructure aims to facilitate rapid secondary use of EMR data in cross-institutional analyses on the basis of the Standardized Structured Medical Information ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:155-158]

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Personalized Biomechanic Models: Factors Affecting Shoulder Motion.

Gesthimani Antoniadou, Thomas Theocharis, Nefeli Chatzistefani, Maria Kallergi,

The design and development of personalized prosthetics or rehabilitation treatments of extremities disorders relies on accurate mathematical models. The effect of various parameters on shoulder joint mobility was investigated in order to develop more accurate, adaptive models. Active and passive abduction at the frontal plane and active and passive flexion ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:135-138]

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An Approach Based on Preference Learning for Identifying Experts Reasoning in Antibiotic Treatment.

Karima Sedki, Chaymae Lakrafli, Jean-Baptiste Lamy, Rosy Tsopra,

Clinical Practice Guidelines (CPGs) aim at improving the quality of health care by providing standardized best practices for diagnosis and treatment. However, physicians have difficulties to understand the (often implicit) rationale underlying expert recommendations. The aim of this paper is to propose an approach based on preference learning for building ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:115-118]

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Use of Natural Language Processing for Precise Retrieval of Key Elements of Health IT Evaluation Studies.

Verena Dornauer, Franziska Jahn, Konrad Hoeffner, Alfred Winter, Elske Ammenwerth,

Having precise information about health IT evaluation studies is important for evidence-based decisions in medical informatics. In a former feasibility study, we used a faceted search based on ontological modeling of key elements of studies to retrieve precisely described health IT evaluation studies. However, extracting the key elements manually for ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:95-98]

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Using Machine Learning Algorithms to Predict Antimicrobial Resistance and Assist Empirical Treatment.

Georgios Feretzakis, Evangelos Loupelis, Aikaterini Sakagianni, Dimitris Kalles, Malvina Lada, Constantinos Christopoulos, Evangelos Dimitrellos, Maria Martsoukou, Nikoleta Skarmoutsou, Stavroula Petropoulou, Konstantinos Alexiou, Aikaterini Velentza, Sophia Michelidou, Konstantinos Valakis,

Multi-drug-resistant (MDR) infections and their devastating consequences constitute a global problem and a constant threat to public health with immense costs for their treatment. Early identification of the pathogen and its antibiotic resistance profile is crucial for a favorable outcome. Given the fact that more than 24 hours are usually ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:75-78]

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Semiautomated Approach for Muscle Weakness Detection in Clinical Texts.

Gleb Danilov, Michael Shifrin, Yuliya Strunina, Konstantin Kotik, Tatyana Tsukanova, Tatiana Pronkina, Timur Ishankulov, Elizaveta Makashova, Alexandra Kosyrkova, Semen Melchenko, Timur Zagidullin, Alexander Potapov,

The automated detection of adverse events in medical records might be a cost-effective solution for patient safety management or pharmacovigilance. Our group proposed an information extraction algorithm (IEA) for detecting adverse events in neurosurgery using documents written in a natural rich-in-morphology language. In this paper, we challenge to optimize and ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:55-58]

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Safety Justification of Healthcare Applications Using Synthetic Datasets.

George Despotou, Stuart Harrison, Sean White, Theodoros N Arvanitis,

BACKGROUND:Increasing numbers of intelligent healthcare applications are developed by analysing big data, on which they are trained. It is necessary to assure that such applications will be safe for patients; this entails validation against datasets. But datasets cannot be shared easily, due to privacy, and consent issues, resulting in delaying ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:35-38]

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Evidence-Based Health Intelligence with Globally Localized Epidemic Knowledge Base: Merging Pathological Data, Socio-Environmental Data and Intervention Knowledge Data.

Eun Kyong Shin, Jong Hun Lee,

The increased prevalence and frequency of infectious diseases are alarming with respect to the disproportionate fatalities across different regions, socio-economic conditions, and demographic groups. Combining pathological data, socio-environmental data, and extracted knowledge from white papers, we proposed a Globally Localized Epidemic Knowledge base (GLEK) that can be utilized for efficient ... Read more >>

Stud Health Technol Inform (Studies in health technology and informatics)
[2020, 272:17-20]

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