Digital Therapeutics for Precision Medicine in Psychiatry
Increasing adoption of commodity wearables serves as a promising modality to understand and remotely quantify human functioning. This allows for real-time interventions for predicted behavioral conditions (e.g., temper tantrum) that currently are managed only after their manifestation. Two studies in the context of pediatric behavior management and nursing burnout will be discussed in this talk. (Source: Biological Psychiatry)
Source: Biological Psychiatry - April 29, 2024 Category: Psychiatry Authors: Arjun Athreya, Paul Croarkin, William Bobo, Magdalena Romanowicz Tags: SYMPOSIUM Source Type: research
3. Improved Implicit Self-Esteem is Associated With Extended Antidepressant Effects Following a Novel Synergistic Intervention
Automated self-association training (ASAT), a novel digital intervention, was found to extend the rapid antidepressant effect of a single infusion of ketamine for at least 30 days. Here, we aimed to investigate the effects of this novel synergistic treatment (ketamine+ASAT) on implicit self-associations and their relation to symptom improvement. (Source: Biological Psychiatry)
Source: Biological Psychiatry - April 29, 2024 Category: Psychiatry Authors: Hatice Nur Eken, Rebecca Price Source Type: research
461. Digital Phenotyping Approaches for Tracking Clinical Symptoms in Serious Mental Illness
This study investigates the reliability of smartphone-based ecological assessments, utilizing both active and passive data, to track changes across various symptom dimensions in severe mental illness (SMI). (Source: Biological Psychiatry)
Source: Biological Psychiatry - April 29, 2024 Category: Psychiatry Authors: Yoonho Chung, Bryce Gillis, Habiballah Rahimi Eichi, Vincent Holstein, Scott Rauch, Einat Libenthal, Justin Baker Source Type: research
172. OpenWillis: An Open-Source Python Library for Digital Health Measurement
Digital health measurement allows for objective, sensitive, and scalable measurement of psychiatric conditions. However, novel methods in digital health measurement are not easily shareable between research groups. Here, we present a python library of standardized methods in digital health measurement. (Source: Biological Psychiatry)
Source: Biological Psychiatry - April 29, 2024 Category: Psychiatry Authors: Michelle Worthington, Georgios Efstathiadis, Vijay Yadav, Anzar Abbas Source Type: research
The Evolution of Telehealth in Heart Failure Management: The Role of Large Language Models and HerzMobil as a Potential Use Case
This study examines the integration of LLMs in heart failure management, with a focus on HerzMobil as a pioneering telehealth program. The technical underpinnings of LLMs, their current applications in the medical field, and their potential to enhance telehealth services, have been explored. The paper highlights the benefits of LLMs in patient interaction, clinical documentation, and decision-making processes. Through the HerzMobil case study, improvements in patient self-management and reductions in hospital readmission rates have been observed, showcasing the successful application of telehealth in chronic disease manage...
Source: Studies in Health Technology and Informatics - April 29, 2024 Category: Information Technology Authors: Hillary Farmer Karl Kreiner Thomas Sch ütz Gerhard P ölzl Christian Puelacher G ünter Schreier Source Type: research
Agile eHealth Usability Evaluation: A Triangulative Approach to Promoting the Usability of eHealth Systems
CONCLUSION: Established eHealth usability evaluation methods must be further evolved to address age-related impairments of older persons.PMID:38682536 | DOI:10.3233/SHTI240043 (Source: Studies in Health Technology and Informatics)
Source: Studies in Health Technology and Informatics - April 29, 2024 Category: Information Technology Authors: Irina Sinabell Elske Ammenwerth Source Type: research
Transforming Tele-Ophthalmology: Utilizing Cloud Computing for Remote Eye Care
CONCLUSION: Cloud platforms have the potential to ease distributed data analytics, as needed for efficient tele-ophthalmology scenarios in research and clinical practice, by providing scalable and secure image management solutions.PMID:38682533 | DOI:10.3233/SHTI240040 (Source: Studies in Health Technology and Informatics)
Source: Studies in Health Technology and Informatics - April 29, 2024 Category: Information Technology Authors: Marco Schweitzer Philipp Ostheimer Arno Lins Vito Romano Bernhard Steger Daniel Baumgarten Marco Augustin Source Type: research
Neural Network-Based Prediction of Perceived Sleep Quality Through Wearable Device Data
This study focuses on the development of a neural network model to predict perceived sleep quality using data from wearable devices. We collected various physiological metrics from 18 participants over four weeks, including heart rate, physical activity, and both device-measured and self-reported sleep quality.OBJECTIVES: The primary objective was to correlate wearable device data with subjective sleep quality perceptions.METHODS: Our approach used data processing, feature engineering, and optimizing a Multi-Layer Perceptron classifier.RESULTS: Despite comprehensive data analysis and model experimentation, the predictive a...
Source: Studies in Health Technology and Informatics - April 29, 2024 Category: Information Technology Authors: Martin Baumgartner Manuel Gr össl Raphaela Haumer Katharina Poimer Flora Prantl Katharina Weick Markus Falgenhauer Stefan Beyer Andreas Ziegl Aaron Lauschensky Fabian Wiesm üller Karl Kreiner Dieter Hayn G ünter Schreier Source Type: research
Quality and Effectiveness of AI Tools for Students and Researchers for Scientific Literature Review and Analysis
This study scrutinizes free AI tools tailored for supporting literature review and analysis in academic research, emphasizing their response to direct inquiries. Through a targeted keyword search, we cataloged relevant AI tools and evaluated their output variation and source validity. Our results reveal a spectrum of response qualities, with some tools integrating non-academic sources and others depending on outdated information. Notably, most tools showed a lack of transparency in source selection. Our study highlights two key limitations: the exclusion of commercial AI tools and the focus solely on tools that accept dire...
Source: Studies in Health Technology and Informatics - April 29, 2024 Category: Information Technology Authors: Martin Danler Werner O Hackl Sabrina B Neururer Bernhard Pfeifer Source Type: research
Unveiling the Surge: A Comprehensive Analysis of the Stimulating Impact of the Covid-19 Pandemic on Telemedicine and Its Academic Landscape
Stud Health Technol Inform. 2024 Apr 26;313:209-214. doi: 10.3233/SHTI240039.ABSTRACTThe Covid-19 pandemic spurred an unprecedented shift towards digitalization, prompting a surge in telehealth practices. This paper explores the impact of the pandemic on telemedicine through a comprehensive analysis of scientific publications. Utilizing a bibliometric approach, the study examines trends in telemedicine research before and after the onset of Covid-19. The systematic search in PubMed yielded 8,454 pre-Covid-19 publications (2016-2019) and 16,633 post-Covid-19 publications (2020-2023). A total of 21,989 distinct keywords were...
Source: Studies in Health Technology and Informatics - April 29, 2024 Category: Information Technology Authors: Werner O Hackl Sabrina B Neururer Bernhard Pfeifer Source Type: research
Will 'Computable' Clinical Guidelines Be Compatible with Personalised Care?
CONCLUSION: Those seeking to digitalise guidelines by making them 'computable' need to acknowledge and address their inbuilt preference-sensitivity - if they wish to further care that respects patient's preferences.PMID:38682529 | DOI:10.3233/SHTI240036 (Source: Studies in Health Technology and Informatics)
Source: Studies in Health Technology and Informatics - April 29, 2024 Category: Information Technology Authors: Jack Dowie Mette Kjer Kaltoft Vije Kumar Rajput Source Type: research
Exploring Opportunities for Clinical Data Warehouse Enhancement Through Data Catalog Integration
Stud Health Technol Inform. 2024 Apr 26;313:198-202. doi: 10.3233/SHTI240037.ABSTRACTSecondary use of clinical health data implies a prior integration of mostly heterogenous and multidimensional data sets. A clinical data warehouse addresses the technological and organizational framework conditions required for this, by making any data available for analysis. However, users of a data warehouse often do not have a comprehensive overview of all available data and only know about their own data in their own systems - a situation which is also referred to as 'data siloed state'. This problem can be addressed and ultimately sol...
Source: Studies in Health Technology and Informatics - April 29, 2024 Category: Information Technology Authors: Andreas Walker Werner O Hackl Bernhard Pfeifer Source Type: research
A Standardized Treatment Pathway for Telehealth-Based Care of Chronic Wounds in Austria
Stud Health Technol Inform. 2024 Apr 26;313:186-191. doi: 10.3233/SHTI240035.ABSTRACTChronic wounds present a significant healthcare challenge in Austria as well as in other countries. The interdisciplinary approach to wound treatment involving various caregivers, doctors, and relatives, poses challenges in documentation and information exchange. To overcome these barriers and promote patient-centered care, a new telehealth-supported treatment pathway for chronic wounds has been developed. The primary focus was to regularly update the status of the chronic wound by responding to predefined questions and transmitted images ...
Source: Studies in Health Technology and Informatics - April 29, 2024 Category: Information Technology Authors: Hannah Vinatzer Angelika Rzepka Barbara Binder Viktoria Gruber Rainer Hofmann-Wellenhof Patrick Mayr Peter Kastner Alexander H öller G ünter Schreier Source Type: research
Understanding IT in Healthcare: Relevance and Training Needs of IT in Private Medical Practice
CONCLUSION: The findings underscore a significant need for targeted IT training and support in medical practices, particularly in areas related to the medical practice and security. Addressing these needs could lead to improved healthcare delivery and better management of technological resources in the healthcare sector.PMID:38682526 | DOI:10.3233/SHTI240033 (Source: Studies in Health Technology and Informatics)
Source: Studies in Health Technology and Informatics - April 29, 2024 Category: Information Technology Authors: Marco Schweitzer Werner O Hackl Sabrina B Neururer Bernhard Pfeifer Source Type: research
Screening Automation in Systematic Reviews: Analysis of Tools and Their Machine Learning Capabilities
Stud Health Technol Inform. 2024 Apr 26;313:179-185. doi: 10.3233/SHTI240034.ABSTRACTSystematic reviews provide robust evidence but require significant human labor, a challenge that can be mitigated with digital tools. This paper focuses on machine learning (ML) support for the title and abstract screening phase, the most time-intensive aspect of the systematic review process. The existing literature was systematically reviewed and five promising tools were analyzed, focusing on their ability to reduce human workload and their application of ML. This paper details the current state of automation capabilities and highlights...
Source: Studies in Health Technology and Informatics - April 29, 2024 Category: Information Technology Authors: Elias Sandner Christian G ütl Igor Jakovljevic Andreas Wagner Source Type: research
