The Impact of Management Factors on the Success and Failure of Health Information Systems

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.

Download Full-text

Towards an Integrative Cognitive-Socio-Technical Approach in Health Informatics: Analyzing Technology-Induced Error Involving Health Information Systems to Improve Patient Safety

The Open Medical Informatics Journal ◽

10.2174/1874431101004010181 ◽

2010 ◽

Vol 4 (1) ◽

pp. 181-187 ◽

Cited By ~ 19

Author(s):

E.M Borycki ◽

A.W Kushniruk

Keyword(s):

Information Systems ◽

Health Information ◽

Health Informatics ◽

System Development ◽

Improve Patient Safety ◽

Health Information System ◽

Health Information Systems ◽

Technical Aspects ◽

Information System Design ◽

The Impact

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.

Download Full-text

The Health-Information Impact Index: a tool to monitor the uptake of evidence in policy and practice

European Journal of Public Health ◽

10.1093/eurpub/ckz185.820 ◽

2019 ◽

Vol 29 (Supplement_4) ◽

Author(s):

M Delnord ◽

F Tille ◽

L A Abboud ◽

D Ivanković ◽

H Van Oyen

Keyword(s):

Public Health ◽

Health Policy ◽

Information Systems ◽

Health Information ◽

Health Information Systems ◽

Policy And Practice ◽

European Public ◽

Impact Index ◽

Impact Framework ◽

The Impact

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.

Download Full-text

Big Data and Smart Health Strategies: Findings from the Health Information Systems Perspective

Yearbook of Medical Informatics ◽

10.15265/iy-2014-0034 ◽

2014 ◽

Vol 23 (01) ◽

pp. 125-127 ◽

Cited By ~ 1

Author(s):

M. Cuggia ◽

L. Toubiana ◽

Keyword(s):

Information Technology ◽

Big Data ◽

Information Systems ◽

Health Information ◽

Information Exchange ◽

Health Information Exchange ◽

Health Information Systems ◽

Systems Perspective ◽

Smart Health ◽

The Impact

Summary Objectives: To summarize excellent current research in the field of Health Information Systems. Method: Creation of a synopsis of the articles selected for the 2014 edition of the IMIA Yearbook. Results: Four papers from international peer reviewed journals were selected and are summarized. Conclusions: Selected articles illustrate current research regarding the impact and the evaluation of health information technology and the latest developments in health information exchange.

Download Full-text

Health information systems and pesticide poisoning at Pernambuco

Revista Brasileira de Epidemiologia ◽

10.1590/1980-5497201500030012 ◽

2015 ◽

Vol 18 (3) ◽

pp. 666-678 ◽

Cited By ~ 6

Author(s):

Pedro Costa Cavalcanti de Albuquerque ◽

Idê Gomes Dantas Gurgel ◽

Aline do Monte Gurgel ◽

Lia Giraldo da Silva Augusto ◽

Marília Teixeira de Siqueira

Keyword(s):

Information System ◽

Information Systems ◽

Health Information ◽

Suicide Attempts ◽

Health Information Systems ◽

Quality Data ◽

Pesticide Poisoning ◽

Epidemiologic Profile ◽

Epidemiological Profile ◽

The Impact

INTRODUCTION: Understanding the epidemiologic profile of a particular disease is key to undertake health actions. To that end, information systems that present quality data help in the decision-making process and demonstrate the impact of the problems. OBJECTIVE: To analyze the contribution of health information systems for the characterization of pesticide poisoning through SINAN, CEATOX and SIM in the State of Pernambuco. METHOD: In this study, the completeness and consistency of the data were assessed, as well as the epidemiological profile of pesticide poisoning in Pernambuco in the period from 2008 to 2012, based on the following Health Information Systems: Center for Toxicological Assistance of Pernambuco (CEATOX), Notifiable Diseases Information System (SINAN) and Mortality Information System (SIM). RESULTS: The data revealed incompleteness and inconsistencies in information. Regarding the profile, females are more affected in the morbidity profile, and men have a higher mortality rate. Poisoning was more frequent in young adults with low educational level. With regard to the circumstances, most of the cases were suicide attempts, unique acute cases and not related to work. Despite suggesting underreporting, the data showed that persons engaged in agriculture are most commonly affected. CONCLUSION: The strengthening of these systems is necessary for the generation of consistent information that support health policies for the population groups involved.

Download Full-text

Use of Clinical Simulations to Evaluate the Impact of Health Information Systems and Ubiquitous Computing Devices Upon Health Professional Work

Clinical Technologies ◽

10.4018/978-1-60960-561-2.ch220 ◽

2011 ◽

pp. 532-553

Author(s):

Elizabeth M. Borycki ◽

Andre W. Kushniruk

Keyword(s):

Information Systems ◽

Health Professional ◽

Ubiquitous Computing ◽

Health Information ◽

Health Information Systems ◽

Professional Work ◽

Work Processes ◽

Subject Selection ◽

Clinical Simulations ◽

The Impact

Health information systems, and in particular ubiquitous computing devices (UCD), promise to revolutionize healthcare. However, before this can be widely achieved UCD need to be adapted to fit the information, workflow and cognitive needs of users of such devices. Indeed systems and devices that are not developed appropriately may inadvertently introduce error in healthcare (“technology-induced error”). This chapter describes an approach to applying clinical simulations to evaluate the impact of health information systems and ubiquitous computing devices on health professional work. The approach allows for an assessment of “cognitive-socio-technical fit” and the ability to modify and improve systems and devices before they are released into widespread use. The application of realistic clinical simulations is detailed, including the stages of development of such simulations (from the creation of representative clinical environments to subject selection and data collection approaches). In order to ensure the success and widespread adoption of UCD, it is argued that greater emphasis will need to be placed on ensuring such systems and devices have a high degree of fit with user’s cognitive and work processes.

Download Full-text