15 research outputs found
Evaluation of TRANSFoRm Mobile eHealth Solution for Remote Patient Monitoring during Clinical Trials
Today, in the digital age, the mobile devices are more and more used to aid
people in the struggle to improve or maintain their health. In this paper, the
mobile eHealth solution for remote patient monitoring during clinical trials is
presented, together with the outcomes of quantitative and qualitative
performance evaluation. The evaluation is a third step to improve the quality
of the application after earlier Good Clinical Practice certification and
validation with the participation of 10 patients and three general
practitioners. This time, the focus was on the usability which was evaluated by
the seventeen participants divided into three age groups (18-28, 29-50, and
50+). The results, from recorded sessions and the eye tracking, show that there
is no difference in performance between the first group and the second group,
while for the third group the performance was worse, however, it was still good
enough to complete task within reasonable time.Comment: 16 pages, 8 Figures, Results of EU FP7 TRANSFoRm projec
Evaluation of TRANSFoRm Mobile eHealth Solution for Remote Patient Monitoring during Clinical Trials
An Analysis of ICMB 2006
This paper analyzes the 44 papers included in the proceedings of the 5th ICMB conference in
Copenhagen 2006. The purpose of the paper was to investigate to what extent the conference
fulfilled its objectives which was to compare previous expectations with present realities along
the following four areas: (1) business models, (2) the influence of m-business on private and
work life, (3) the impact of regulation, and (4) the re-composition of the value network. In the
analysis we apply the well-known framework by Lyytinen and Yoo for studying nomadic
computing. In addition to this we also classify the papers in relation to type of artifact
investigated, application area, and research methodology. The analysis show that the main focus
lay on the use and adoption of mobile services – over 60% of the papers address. Few papers
address the impact of service on any level of analysis. Business model is a recurring topic in 17
of the papers. There is lack in theorizing of the artifact, e.g. many just study mobile devices, but
do not describe what type they study
The Role of Free/Libre and Open Source Software in Learning Health Systems
OBJECTIVE: To give an overview of the role of Free/Libre and Open Source Software (FLOSS) in the context of secondary use of patient data to enable Learning Health Systems (LHSs). METHODS: We conducted an environmental scan of the academic and grey literature utilising the MedFLOSS database of open source systems in healthcare to inform a discussion of the role of open source in developing LHSs that reuse patient data for research and quality improvement. RESULTS: A wide range of FLOSS is identified that contributes to the information technology (IT) infrastructure of LHSs including operating systems, databases, frameworks, interoperability software, and mobile and web apps. The recent literature around the development and use of key clinical data management tools is also reviewed. CONCLUSIONS: FLOSS already plays a critical role in modern health IT infrastructure for the collection, storage, and analysis of patient data. The nature of FLOSS systems to be collaborative, modular, and modifiable may make open source approaches appropriate for building the digital infrastructure for a LHS.</p
Usability analysis of contending electronic health record systems
In this paper, we report measured usability of two leading EHR systems during procurement. A total of 18 users participated in paired-usability testing of three scenarios: ordering and managing medications by an outpatient physician, medicine administration by an inpatient nurse and scheduling of appointments by nursing staff. Data for audio, screen capture, satisfaction rating, task success and errors made was collected during testing. We found a clear difference between the systems for percentage of successfully completed tasks, two different satisfaction measures and perceived learnability when looking at the results over all scenarios. We conclude that usability should be evaluated during procurement and the difference in usability between systems could be revealed even with fewer measures than were used in our study. © 2019 American Psychological Association Inc. All rights reserved.Peer reviewe
Front-Line Physicians' Satisfaction with Information Systems in Hospitals
Day-to-day operations management in hospital units is difficult due to continuously varying situations, several actors involved and a vast number of information systems in use. The aim of this study was to describe front-line physicians' satisfaction with existing information systems needed to support the day-to-day operations management in hospitals. A cross-sectional survey was used and data chosen with stratified random sampling were collected in nine hospitals. Data were analyzed with descriptive and inferential statistical methods. The response rate was 65 % (n = 111). The physicians reported that information systems support their decision making to some extent, but they do not improve access to information nor are they tailored for physicians. The respondents also reported that they need to use several information systems to support decision making and that they would prefer one information system to access important information. Improved information access would better support physicians' decision making and has the potential to improve the quality of decisions and speed up the decision making process.Peer reviewe
Application of automated feedback for the improvement of data quality in web-based clinical collaborations
Background: Clinical research registries are rarely driven by data quality assurance. However, quality of data can have a huge impact on the performance and outcome of any given trial using registry data. Therefore, data quality assurance procedures for cost reduction and data process improvements have to be implemented in research registries.
Hypothesis: This research proposes that web-based data quality feedback can motivate registry users, increase their contributions and ultimately improve the quality of registry data and its (re-)use to support clinical trials; thereby reducing the costs and need for study monitors.
Method: To explore causes of low data quality and user motivation, a survey and an assessment of quality indicators in a multicentre clinical setting was performed. Subsequently, a development and evaluation of a web-based feedback framework was conducted. This was explored in the international Niemann-Pick disease registry (INPDR) and two clinical trials associated with the European Network for the Study of Adrenal Tumours (ENSAT).
Results: The survey and framework evaluation highlight effectiveness of web-based automated data quality feedback. Case studies showed an increase of data quality within observation time.
Conclusion: Centralised data monitoring requires a general framework that can be adjusted for a variety of trials and studies. This research highlights how biomedical research registries have to be designed with focus on data quality and feedback mechanisms