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Source: Studies in Health Technology and Informatics
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Total 1080 results found since Jan 2013.
Telemedicine Research from Big Bang to 2022
Stud Health Technol Inform. 2023 May 2;301:220-224. doi: 10.3233/SHTI230043.ABSTRACTThe Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics systematically screens about 2,500 publications from more than 1,000 journals annually to find the best CIS publications. The editors of the CIS section have noticed a trend toward patient-centered care supported by AI and machine learning and increased research in cross-institutional data sharing, particularly in telemedicine. As a result, they adjusted their search query to include the MeSH term "telemedicine." As a preliminary step and to get a sen...
Source: Studies in Health Technology and Informatics - May 12, 2023 Category: Information Technology Authors: Werner O Hackl Sabrina B Neururer Bernhard Pfeifer Source Type: research
Improving Emergency Service Quality and Patient Safety Through the Use of Cross-Sectoral Digital Feedback Systems - An Overview
CONCLUSION: Although feedback is described as a method for improving the quality of the rescue service and feedback is also considered in the description of the requirements for digitization, there seems to be no technical implementation of a cross-sectoral feedback system so far.PMID:37172173 | DOI:10.3233/SHTI230032
Source: Studies in Health Technology and Informatics - May 12, 2023 Category: Information Technology Authors: Andreas Klausen Kristin Stanke Antje Wulff Source Type: research
Telemedicine Research from Big Bang to 2022
Stud Health Technol Inform. 2023 May 2;301:220-224. doi: 10.3233/SHTI230043.ABSTRACTThe Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics systematically screens about 2,500 publications from more than 1,000 journals annually to find the best CIS publications. The editors of the CIS section have noticed a trend toward patient-centered care supported by AI and machine learning and increased research in cross-institutional data sharing, particularly in telemedicine. As a result, they adjusted their search query to include the MeSH term "telemedicine." As a preliminary step and to get a sen...
Source: Studies in Health Technology and Informatics - May 12, 2023 Category: Information Technology Authors: Werner O Hackl Sabrina B Neururer Bernhard Pfeifer Source Type: research
Fading Fatigue - A Self-Management App for Supporting Long-COVID Patients with Fatigue
Stud Health Technol Inform. 2023 May 2;301:67-68. doi: 10.3233/SHTI230013.ABSTRACTFatigue is the most prevalent Long-COVID symptom. Individuals who are affected have to learn to organize and manage daily activities according to the subjectively perceived energy reserves. Our objective was to develop an application, Fading Fatigue, that supports patients in their energy management, in particular after an initial therapy guided by health professionals. Fading Fatigue was developed in an iterative approach and implemented as a client-server application. Interviews and a literature search were conducted to identify limitations...
Source: Studies in Health Technology and Informatics - May 12, 2023 Category: Information Technology Authors: Daniel S Schmid Denis S Moser Kerstin Denecke Source Type: research
Predicting mHealth Acceptance Using the UTAUT2 Technology Acceptance Model: A Mixed-Methods Approach
CONCLUSION: The UTAUT2 model was successfully extended by two new constructs relevant to the mHealth context.PMID:37172148 | DOI:10.3233/SHTI230007
Source: Studies in Health Technology and Informatics - May 12, 2023 Category: Information Technology Authors: Patrik Schretzlmaier Achim Hecker Elske Ammenwerth Source Type: research
Fading Fatigue - A Self-Management App for Supporting Long-COVID Patients with Fatigue
Stud Health Technol Inform. 2023 May 2;301:67-68. doi: 10.3233/SHTI230013.ABSTRACTFatigue is the most prevalent Long-COVID symptom. Individuals who are affected have to learn to organize and manage daily activities according to the subjectively perceived energy reserves. Our objective was to develop an application, Fading Fatigue, that supports patients in their energy management, in particular after an initial therapy guided by health professionals. Fading Fatigue was developed in an iterative approach and implemented as a client-server application. Interviews and a literature search were conducted to identify limitations...
Source: Studies in Health Technology and Informatics - May 12, 2023 Category: Information Technology Authors: Daniel S Schmid Denis S Moser Kerstin Denecke Source Type: research
Predicting mHealth Acceptance Using the UTAUT2 Technology Acceptance Model: A Mixed-Methods Approach
CONCLUSION: The UTAUT2 model was successfully extended by two new constructs relevant to the mHealth context.PMID:37172148 | DOI:10.3233/SHTI230007
Source: Studies in Health Technology and Informatics - May 12, 2023 Category: Information Technology Authors: Patrik Schretzlmaier Achim Hecker Elske Ammenwerth Source Type: research
Improving Emergency Service Quality and Patient Safety Through the Use of Cross-Sectoral Digital Feedback Systems - An Overview
CONCLUSION: Although feedback is described as a method for improving the quality of the rescue service and feedback is also considered in the description of the requirements for digitization, there seems to be no technical implementation of a cross-sectoral feedback system so far.PMID:37172173 | DOI:10.3233/SHTI230032
Source: Studies in Health Technology and Informatics - May 12, 2023 Category: Information Technology Authors: Andreas Klausen Kristin Stanke Antje Wulff Source Type: research
Fading Fatigue - A Self-Management App for Supporting Long-COVID Patients with Fatigue
Stud Health Technol Inform. 2023 May 2;301:67-68. doi: 10.3233/SHTI230013.ABSTRACTFatigue is the most prevalent Long-COVID symptom. Individuals who are affected have to learn to organize and manage daily activities according to the subjectively perceived energy reserves. Our objective was to develop an application, Fading Fatigue, that supports patients in their energy management, in particular after an initial therapy guided by health professionals. Fading Fatigue was developed in an iterative approach and implemented as a client-server application. Interviews and a literature search were conducted to identify limitations...
Source: Studies in Health Technology and Informatics - May 12, 2023 Category: Information Technology Authors: Daniel S Schmid Denis S Moser Kerstin Denecke Source Type: research
Predicting mHealth Acceptance Using the UTAUT2 Technology Acceptance Model: A Mixed-Methods Approach
CONCLUSION: The UTAUT2 model was successfully extended by two new constructs relevant to the mHealth context.PMID:37172148 | DOI:10.3233/SHTI230007
Source: Studies in Health Technology and Informatics - May 12, 2023 Category: Information Technology Authors: Patrik Schretzlmaier Achim Hecker Elske Ammenwerth Source Type: research
Telemedicine Research from Big Bang to 2022
Stud Health Technol Inform. 2023 May 2;301:220-224. doi: 10.3233/SHTI230043.ABSTRACTThe Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics systematically screens about 2,500 publications from more than 1,000 journals annually to find the best CIS publications. The editors of the CIS section have noticed a trend toward patient-centered care supported by AI and machine learning and increased research in cross-institutional data sharing, particularly in telemedicine. As a result, they adjusted their search query to include the MeSH term "telemedicine." As a preliminary step and to get a sen...
Source: Studies in Health Technology and Informatics - May 12, 2023 Category: Information Technology Authors: Werner O Hackl Sabrina B Neururer Bernhard Pfeifer Source Type: research
Forecasting Trends in the Tuberculosis Epidemic Situation in the Region of the Russian Federation by Dynamic Simulation Model
Stud Health Technol Inform. 2022 Nov 3;299:235-241. doi: 10.3233/SHTI220990.ABSTRACTThe spread of a new coronavirus infection in the last two years together with HIV infection preserves and even increases the potential for the spread of tuberculosis in the world. Sverdlovsk oblast (SO) of Russian Federation is the region with high levels of HIV and tuberculosis (TB). The search for new methods of forecasting of the future epidemic situation for tuberculosis has become particularly relevant. The aim was to develop an effective method for predicting the epidemic situation of tuberculosis using an artificial intelligence (AI)...
Source: Studies in Health Technology and Informatics - November 3, 2022 Category: Information Technology Authors: Igor A Cherniaev P F Chernavin A I Tsvetkov Y P Chugaev U I Cherniaeva N P Chernavin Source Type: research
Development and Implementation of the Data Science Learning Platform for Research Physician
This article presents a clinical research discovery toolbox that implements and demonstrates tools for data anonymization, patient data visualization, NLP-tools for guideline search and data science learning tools.PMID:36325863 | DOI:10.3233/SHTI220983
Source: Studies in Health Technology and Informatics - November 3, 2022 Category: Information Technology Authors: Lejla Begic Fazlic Marvin Schacht Marlies Morgen Anke Schmeink Robert Lipp Lukas Martin Thomas Vollmer Stefan Winter Guido Dartmann Source Type: research
Characteristics and Subjective Evaluation of an Intelligent Empowering Agent for Health Person Empowerment
Stud Health Technol Inform. 2022 Nov 3;299:177-182. doi: 10.3233/SHTI220979.ABSTRACTEmpowerment is a process through which people acquire the necessary knowledge and self-awareness to understand their health conditions and treatment options, self-manage them, and make informed choices. Currently, few stand-alone applications for patient empowerment exist and people/patients often go on the Web to search for health information. Such information is mainly obtained through generic search engines and it is often overwhelming, too generic, and of poor quality. Intelligent Empowering Agents (IEA) can filter such information and ...
Source: Studies in Health Technology and Informatics - November 3, 2022 Category: Information Technology Authors: Marco Alfano John Kellett Biagio Lenzitti Markus Helfert Source Type: research
