Using a Survey Methodology to Measure User Satisfaction with Clinical Information Systems

2018 ◽  
pp. 19-28
Author(s):  
Jonathan L. Schaffer ◽  
Peter Haddad ◽  
Nilmini Wickramasinghe
Keyword(s):  
Information Systems ◽  
User Satisfaction ◽  
Survey Methodology ◽  
Clinical Information ◽  
Clinical Information Systems

scholarly journals Current Challenges and Opportunities for Better Integration of Human Factors Research with Development of Clinical Information Systems

2009 ◽  
Vol 18 (01) ◽  
pp. 48-58 ◽  
Author(s):  
J. J. Saleem ◽  
A. L. Russ ◽  
P. Sanderson ◽  
T. R. Johnson ◽  
J. Zhang ◽  
...  
Keyword(s):  
Information Systems ◽  
Human Factors ◽  
User Satisfaction ◽  
Clinical Decision Making ◽  
Clinical Information System ◽  
Healthcare Delivery ◽  
Clinical Information ◽  
Lessons Learned ◽  
Clinical Information Systems ◽  
Human Factors Research

Summary Objectives Clinical information system (CIS) developers and implementers have begun to look to other scientific disciplines for new methods, tools, and techniques to help them better understand clinicians and their organizational structures, clinical work environments, capabilities of clinical information and communications technology, and the way these structures and processes interact. The goal of this article is to help CIS researchers, developers, implementers, and evaluators better understand the methods, tools, techniques, and literature of the field of human factors. Methods We developed a framework that explains how six key human factors topics relate to the design, implementation, and evaluation of CISs. Results Using this framework we discuss the following six topics: 1) informatics and patient safety; 2) user interface design and evaluation; 3) workflow and task analysis; 4) clinical decision making and decision support; 5) distributed cognition; and 6) mental workload and situation awareness. Conclusions Integrating the methods, tools, and lessons learned from each of these six areas of human factors research early in CIS design and incorporating them iteratively during development can improve user performance, user satisfaction, and integration into clinical workflow. Ultimately, this approach will improve clinical information systems and healthcare delivery.

scholarly journals The Virtuous Circles of Clinical Information Systems: a Modern Utopia

2016 ◽  
Vol 25 (01) ◽  
pp. 256-263 ◽  
Author(s):  
P. Degoulet
Keyword(s):  
Quality Of Care ◽  
Information Systems ◽  
User Satisfaction ◽  
Structural Equation Models ◽  
Clinical Information ◽  
University Hospital ◽  
Clinical Information Systems ◽  
Frontier Analysis ◽  
System Use

Summary Context: Clinical information systems (CIS) are developed with the aim of improving both the efficiency and the quality of care. Objective: This position paper is based on the hypothesis that such vision is partly a utopian view of the emerging eSociety. Methods: Examples are drawn from 15 years of experience with the fully integrated Georges Pompidou University Hospital (HEGP) CIS and temporal data series extracted from the data warehouses of Assistance Publique - Hôpitaux de Paris (AP-HP) acute care hospitals which share the same administrative organization as HEGP. Three main virtuous circles are considered: user satisfaction vs. system use, system use vs. cost efficiency, and system use vs quality of care. Results: In structural equation models (SEM), the positive bidirectional relationship between user satisfaction and use was only observed in the early HEGP CIS deployment phase (first four years) but disappeared in late post-adoption (≥8 years). From 2009 to 2013, financial efficiency of 20 AP-HP hospitals evaluated with stochastic frontier analysis (SFA) models diminished by 0.5% per year. The lower decrease of efficiency observed between the three hospitals equipped with a more mature CIS and the 17 other hospitals was of the same order of magnitude than the difference observed between pediatric and non-pediatric hospitals. Outcome quality benefits that would bring evidence to the system use vs. quality loop are unlikely to be obtained in a near future since they require integration with population-based outcome measures including mortality, morbidity, and quality of life that may not be easily available. Conclusion: Barriers to making the transformation of the utopian part of the CIS virtuous circles happen should be overcome to actually benefit the emerging eSociety.

The Importance of Medical and Nursing Sub-cultures in the Implementation of Clinical Information Systems

2009 ◽  
Vol 48 (02) ◽  
pp. 196-202 ◽  
Author(s):  
J. Braithwaite ◽  
J. I. Westbrook ◽  
J. L. Callen
Keyword(s):  
Information Systems ◽  
User Satisfaction ◽  
Clinical Information ◽  
Organisational Culture ◽  
Clinical Information Systems ◽  
Satisfaction Survey ◽  
Successful Implementation ◽  
Percentile Score ◽  
The Impact ◽  
Doctors And Nurses

Summary Objective: To measure doctors’ and nurses’ perceptions of organisational culture and relate this to their attitudes to, and satisfaction with, a hospital-wide mandatory computerised provider order entry (CPOE) system in order to illuminate cultural compositions in CPOE use. Methods: A cross-sectional survey design was employed. Data were collected by administering an organisational culture survey (Organisational Culture Inventory, OCI) along with a user-satisfaction survey to a population of 103 doctors and nurses from two clinical units in an Australian metropolitan teaching hospital. Clinicians from the hospital had used the CPOE system since 1991 to order and view clinical laboratory and radiology tests electronically for all patients. The OCI provides a measure of culture in terms of three general styles which distinguish between: constructive; passive/defensive, and aggressive/defensive cultures. The cluster which best describes the overall culture is the one that has the highest percentile score when the percentile scores of the four cultural norms included in the cluster are averaged. The user satisfaction survey asked questions relating to satisfaction with, and attitudes to, the system. Results: We found identifiable sub-cultures based on professional divisions where doctors perceived an aggressive-defensive culture (mean percentile score = 43.8) while nurses perceived a constructive culture (mean percentile score = 61.5). There were significant differences between doctors and nurses on three of the attitude variables with nurses expressing more positive views towards CPOE than doctors. Conclusion: The manifestation of sub-cultures within hospitals and the impact this has on attitudes towards clinical information systems should be recognized and addressed when planning for system implementation. Identification and management of the cultural characteristics of different groups of health professionals may facilitate the successful implementation and use of clinical information systems.

Effectivness of Health Information System Applications: Clinical Information and Diagnosis-Treatment Systems in Turkey

2017 ◽  
Vol 5 (1) ◽  
pp. 122
Author(s):  
Assist. Prof. Dr. Demokaan DEMİREL
Keyword(s):  
Decision Making ◽  
Information System ◽  
Information Systems ◽  
Management Information System ◽  
Health Sector ◽  
Health Information System ◽  
Clinical Information ◽  
Clinical Decision ◽  
Clinical Information Systems ◽  
Management Information

The distinctive quality of the new social structure is that information becomes the only factor of production. In today's organizations, public administrators are directly responsible for applying information to administrative processes. In addition to his managerial responsibilities, a knowledge based organization requires every employee to take responsibility for achieving efficiency. This has increased the importance of information systems in the decision-making process. Information systems consist of computer and communication technology, data base management and model management and include activity processing system, management information system, decision support systems, senior management information system, expert systems and office automation systems. Information systems in the health sector aim at the management and provision of preventive and curative health services. The use of information systems in healthcare has the benefits of increasing service quality, shortening treatment processes, maximizing efficiency of the time, labour and medical devices. The use of information systems for clinical decision making and reducing medical errors in the healthcare industry dates back to the 1960s. Clinical information systems involve processing, storing and re-accessing information that supports patient care in a hospital. Clinical information systems are systems that are directly or indirectly related to patient care. These systems include electronic health/patient records, clinical decision support systems, nurse information systems, patient tracking systems, tele-medicine, case mix and smart card applications. Diagnosis-treatment systems are information-based systems used in the diagnosis and treatment of diseases. It consists of laboratory information systems, picture archiving and communication system, pharmacy information system, radiology information system, nuclear medicine information system. This study aims to evaluate the effectiveness of health information system applications in Turkey. The first part of the study focuses on the concept of information systems and the types of information systems in organization structures. In the second part, clinical information systems and applications for diagnosis-treatment systems in Turkey are examined. Finally, the study evaluates applications in the health sector qualitatively from the new organizational structure, which is formed by information systems.

History and Trends in Clinical Information Systems in the United States

2001 ◽  
Vol 33 (1) ◽  
pp. 75-81 ◽  
Author(s):  
Nancy Staggers ◽  
Cheryl Bagley Thompson ◽  
Rita Snyder-Halpern
Keyword(s):  
United States ◽  
Information Systems ◽  
Clinical Information ◽  
The United States ◽  
Clinical Information Systems

Evaluating Clinical Information Systems

2003 ◽  
Vol 33 (12) ◽  
pp. 643-651 ◽  
Author(s):  
Debra Kirkley ◽  
Demi Rewick
Keyword(s):  
Information Systems ◽  
Clinical Information ◽  
Clinical Information Systems

scholarly journals Clinical Information Systems – Seen through the Ethics Lens

2020 ◽  
Vol 29 (01) ◽  
pp. 104-114
Author(s):  
Ursula H. Hübner ◽  
Nicole Egbert ◽  
Georg Schulte
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Information Exchange ◽  
Ethics Education ◽  
Health Information Exchange ◽  
Evaluation Studies ◽  
Clinical Information ◽  
Clinical Decision ◽  
Clinical Information Systems ◽  
Smart Systems

Objective: The more people there are who use clinical information systems (CIS) beyond their traditional intramural confines, the more promising the benefits are, and the more daunting the risks will be. This review thus explores the areas of ethical debates prompted by CIS conceptualized as smart systems reaching out to patients and citizens. Furthermore, it investigates the ethical competencies and education needed to use these systems appropriately. Methods: A literature review covering ethics topics in combination with clinical and health information systems, clinical decision support, health information exchange, and various mobile devices and media was performed searching the MEDLINE database for articles from 2016 to 2019 with a focus on 2018 and 2019. A second search combined these keywords with education. Results: By far, most of the discourses were dominated by privacy, confidentiality, and informed consent issues. Intertwined with confidentiality and clear boundaries, the provider-patient relationship has gained much attention. The opacity of algorithms and the lack of explicability of the results pose a further challenge. The necessity of sociotechnical ethics education was underpinned in many studies including advocating education for providers and patients alike. However, only a few publications expanded on ethical competencies. In the publications found, empirical research designs were employed to capture the stakeholders’ attitudes, but not to evaluate specific implementations. Conclusion: Despite the broad discourses, ethical values have not yet found their firm place in empirically rigorous health technology evaluation studies. Similarly, sociotechnical ethics competencies obviously need detailed specifications. These two gaps set the stage for further research at the junction of clinical information systems and ethics.

Sign in / Sign up

Export Citation Format

Share Document