Interpreting the Impact of Perceived Privacy and Security Concerns in Patients' Use of Online Health Information Systems

2012 ◽  
Vol 8 (1) ◽  
pp. 38-50 ◽  
Author(s):  
Paul Ambrose ◽  
Choton Basu
1996 ◽  
Vol 26 (4) ◽  
pp. 197-201 ◽  
Author(s):  
Tina Magennis ◽  
Jennifer Mitchell

As electronic patient health information systems become more fully developed and widespread, there are persistent concerns about the privacy and confidentiality of the personal health data being stored and disseminated. Standards Australia has released two Standards which provide useful guidelines for the organisational, technological and human behaviour solutions required to protect privacy and confidentiality in health care organisations. The major requirements of these Standards are outlined and the implications of the Standards for health information managers are discussed.


Author(s):  
Carmine Sellitto ◽  
Daniel Carbone

This paper identifies five factors from the literature that are important for the successful implementation of health information systems (HIS). The HIS factors identified include stakeholder engagement, the support of management and local champions, understanding HIS imposed change, user training and the impact of government incentives. The paper further explored the introduction of a commonly used HIS (Medical Director®) in a regional Australian hospital and used the implementation factors as a guide for reporting stakeholder perceptions of the system. The implementation of the HIS in view of the systems users was a failure with all factors except the training issues poorly addressed. The study also reports the practicalities encountered with the system’s introduction and documents several new operational factors that were found to be associated with HIS implementation. Overall, the factors provided a sound criterion on which to judge the implementation performance (success or otherwise) of the HIS. The factors identified have the potential to be used as a guide by others who are engaged with information systems in the health area.


2010 ◽  
Vol 4 (1) ◽  
pp. 181-187 ◽  
Author(s):  
E.M Borycki ◽  
A.W Kushniruk

The purpose of this paper is to argue for an integration of cognitive and socio-technical approaches to assessing the impact of health information systems. Historically, health informatics research has examined the cognitive and socio-technical aspects of health information systems separately. In this paper we argue that evaluations of health information systems should consider aspects related to cognition as well as socio-technical aspects including impact on workflow (i.e. an integrated view). Using examples from the study of technology-induced error in healthcare, we argue for the use of simulations to evaluate the cognitive-socio-technical impacts of health information technology [36]. Implications of clinical simulations and analysis of cognitive-social-technical impacts are discussed within the context of the system development life cycle to improve health information system design, implementation and evaluation.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
M Delnord ◽  
F Tille ◽  
L A Abboud ◽  
D Ivanković ◽  
H Van Oyen

Abstract Background The optimal use of data and evidence from national health information systems is paramount in public health. However, current tools to evaluate health information systems focus on data quality and availability rather than measuring how data are used by key stakeholders. This limits capacity to monitor the impact of evidence on health care management and health policy making. Methods Based on an extensive literature review we developed a new model, the Health Information (HI)-Impact framework, to monitor the impact of health information in health policy and practice. We further conducted a web-based Delphi survey between February and April 2019 among European public health professionals working in health policy, health care, research, and health monitoring to develop the HI-Impact Index. Results In the HI-Impact framework, four domains are essential for mapping public health data availability, dissemination, and use: (1) Health Information and Evidence Quality, (2) Health Information System Responsiveness, (3) Stakeholder Engagement, and (4) Knowledge Integration. This last domain has a broader reach on the determinants of health and reflects the use of evidence by community partners and across sectors. In the DELPHI survey, 127 experts from 38 European countries selected 30 criteria to integrate in the HI-Impact Index. This tool could be used by European public health agencies to monitor the impact of their information products, and inform national strategies for evidence-based public health. Conclusions It is crucial for routine health information systems to create a culture of accountability in the use of evidence. Data on the determinants and consequences of ill-health as well as stakeholder engagement in leveraging evidence for intervention are explicit points to consider for a full quality assessment of national health information systems, and a sustainable impact on health outcomes.


2011 ◽  
Vol 20 (01) ◽  
pp. 142-145
Author(s):  
C. Boyer ◽  

SummaryTo explore how the Internet is being used as a source of information, but also as a source of consumption in certain health-related fields. Determine the negative and positive impacts of this trend, depending on the topic or quality standards of websites.Synopsis of the articles selected for the IMIA Yearbook 2011.Six papers from international peer reviewed journals have been selected for the section on health information systems.The articles selected discuss issues of major concern for online health information seekers, because of their positive or negative impact on health outputs.


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