scholarly journals Human Factors and Organizational Issues in Health Informatics: Innovations and Opportunities

2021 ◽  
Vol 30 (01) ◽  
pp. 091-099
Author(s):  
Jenna Marquard
Keyword(s):  
Human Factors ◽  
User Satisfaction ◽  
Health Informatics ◽  
Technology Development ◽  
Evaluation Process ◽  
Clinical Decision ◽  
End Users ◽  
End User ◽  
Organizational Issues ◽  
Health Innovations

Objective: Human factors and ergonomics (HF/E) frameworks and methods are becoming embedded in the health informatics community. There is now broad recognition that health informatics tools must account for the diverse needs, characteristics, and abilities of end users, as well as their context of use. The objective of this review is to synthesize the current nature and scope of HF/E integration into the health informatics community. Methods: Because the focus of this synthesis is on understanding the current integration of the HF/E and health informatics research communities, we manually reviewed all manuscripts published in primary HF/E and health informatics journals during 2020. Results: HF/E-focused health informatics studies included in this synthesis focused heavily on EHR customizations, specifically clinical decision support customizations and customized data displays, and on mobile health innovations. While HF/E methods aimed to jointly improve end user safety, performance, and satisfaction, most HF/E-focused health informatics studies measured only end user satisfaction. Conclusion: HF/E-focused health informatics researchers need to identify and communicate methodological standards specific to health informatics, to better synthesize findings across resource intensive HF/E-focused health informatics studies. Important gaps in the HF/E design and evaluation process should be addressed in future work, including support for technology development platforms and training programs so that health informatics designers are as diverse as end users.

The Effect of Sound Relationships on SLA's

2011 ◽  
pp. 1255-1259
Author(s):  
A.C. Leonard
Keyword(s):  
Service Quality ◽  
Service Provider ◽  
User Satisfaction ◽  
Service Level Agreement ◽  
Service Level ◽  
End Users ◽  
End User ◽  
It Service ◽  
Common Understanding ◽  
Required Quality

End users have expectations regarding services and support, and the quality thereof, provided by the supplier. They compare their expectations to the received service to assess the service quality (Coye, 2004). In order to ensure that the service supplied by the service provider meets the expectations of end users, a successful service level agreement (SLA) is required. Quality SLA’s clearly define, amongst many other elements, the commitments and responsibilities of the IT service provider and end users within the service delivery processes (Larson, 1998). One method of measuring the success of SLA’s is by using service metrics with regard to the availability, reliability, serviceability, response, and user satisfaction of the SLA (Larson, 1998). Therefore, the success of the SLA depends on a clear, common understanding of the services and service quality between the service provider and end users. Furthermore commitment, trust, and cooperation between all parties is necessary to achieve success with SLA’s (Hiles, 1994). However, in this paper it is argued that all these soft issues can only form a basis when sound relationships are established and maintained between the IT service provider and end users (Leonard, 2002). This paper aims to determine how the establishment of a sound IT-end user relationship can add value to the SLA for both the IT service provider and the end users, and increase the success of SLA’s.

The Collaborative Use of Information Technology

2002 ◽  
pp. 184-203
Author(s):  
William J. Doll ◽  
Xiaodong Deng
Keyword(s):  
Systems Analysis ◽  
User Satisfaction ◽  
Information Needs ◽  
Flow Analysis ◽  
User Participation ◽  
End Users ◽  
End User ◽  
Information Flow Analysis ◽  
Collaborative Applications ◽  
Research Questions

Building upon the work of behavioral scientists who study participative decision making, Doll and Torkzadeh (1991) present a congruence construct of participation that measures whether end users participate as much as they want in key systems analysis decisions. Using a sample of 163 collaborative and 239 non-collaborative applications, this research focuses on three research questions: (1) Is user participation more effective in collaborative applications? (2) What specific decision issues enhance user satisfaction and productivity? and (3) Can permitting end users to participate as much as they want on some issues be ineffective or even dysfunctional? The results indicate that user participation is more effective in collaborative applications. Of the four decision issues tested, only participation in information needs analysis predicts end-user satisfaction and task productivity. Encouraging end users to participate as much as they want on a broad range of systems analysis issues such as project initiation, information flow analysis, and format design appears to be, at best, a waste of time and, perhaps, even harmful. These findings should help managers and analysts make better decisions about how to focus participatory efforts and whether end users should participate as much as they want in the design of collaborative systems.

scholarly journals A Biomedical Informatics Perspective on Human Factors:

2012 ◽  
Vol 21 (01) ◽  
pp. 65-69
Author(s):  
R. Meyer ◽  
Keyword(s):  
Human Factors ◽  
Health Informatics ◽  
Information Technologies ◽  
Evaluation Process ◽  
Research Papers ◽  
Record System ◽  
Healthcare Information ◽  
Evaluation Practice ◽  
Excellent Research ◽  
Selection Of

Summaryto select and summarize excellent research published during 2011 in the study of human factors in bio-medical informatics.we attempt to derive a synthetic overview of the activity and new trends in this field, from a wide selection of worldwide research papers published during 2011.We selected four papers. The first one presents an international effort aiming to design a guideline for good evaluation practice in health informatics (GEP-HI) [2]. The second reviews medical errors taxonomies from a human factor perspective [3]. The third one advocates the need to systematically perform a deep evaluation process after all healthcare information technologies project deployment [4]. The fourth one explores exit strategies performed by clinician using health record system and how/why we need to anticipate them [5].This papers selection will provide our readers with valuable evidences on past and existing research in the specific field of human factors in healthcare informatics. It can also act as a foundation for stakeholders in the healthcare industry that emphasize the significance of human factors and ergonomics in designing healthcare information systems of the future.

scholarly journals Comparison Study Of Performance Analysis Of Information System Using The Methods Of End-User Computing Satisfaction And It Balance Score Card

JAICT ◽  
2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Roy Sari Milda Siregar
Keyword(s):  
Information System ◽  
Information Systems ◽  
User Satisfaction ◽  
New Technology ◽  
Future Orientation ◽  
Primary User ◽  
End Users ◽  
Ease Of Use ◽  
Secondary User ◽  
End User

Evaluation of information system performance is needed to get an overview of the ease of end-users in utilizing a new technology. This study aims to evaluate the performance of information systems in a state-owned company (PT PLN Madya Langsa) based on an end-user perspective that is separated into two categories: employees and managers. The level of employee satisfaction (primary user) is measured using EUCS (aspect of: content, accuracy, format, ease of use, timeliness, and satisfaction). The manager's satisfaction level (secondary user) is measured by using IT BSC (aspect of: company contribution, user, operational excellence, and future orientation). The evaluation on the primary user showed that it was low at 25.6%, moderate at 56.64% and high at 18%. The percentage of user satisfaction with the information systems is 72.9% of the results expected by users. Meanwhile, evaluation on the secondary user obtained the following results: low at 10.5%, moderate 84.2% and high at 5.3%. The percentage of user satisfaction with the information system was 92.8% of the results that is expected by users. This study also discusses why there are differences in the percentage of primary user satisfaction compare to the secondary user and provides suggestions how to improve the level of satisfaction of the end users in the future.

Validating the End-User Computing Satisfaction Instrument for Online Shopping Systems

2010 ◽  
pp. 291-308
Author(s):  
Chung-Tzer Liu ◽  
Yi Maggie Guo
Keyword(s):  
Information Systems ◽  
User Satisfaction ◽  
Web Site ◽  
Online Shopping ◽  
End Users ◽  
End User ◽  
Is Success ◽  
End User Computing

End-user satisfaction has always been an important component of Information Systems (IS) success. This is also true for online applications, including online shopping systems, where in addition to being a customer, the shoppers play the role of end-users. Shoppers may not come back to or make a purchase on a Web site if they have an unsatisfactory experience. In this research, we focus on this aspect of online shopping by examining shoppers’ experiences as end-users.

scholarly journals KUALITAS SISTEM INFORMASI, KUALITAS INFORMASI DAN PERCEIVED USEFULNESS TERHADAP KEPUASAN PENGGUNA AKHIR SOFTWARE ANALISIS KREDIT

2020 ◽  
Vol 10 (3) ◽  
pp. 245-260
Author(s):  
Rizky Herawan Putra ◽  
Nila Aprila ◽  
Fenny Marietza ◽  
Madani Hatta
Keyword(s):  
Information System ◽  
User Satisfaction ◽  
Information Quality ◽  
End Users ◽  
Perceived Usefulness ◽  
System Quality ◽  
End User ◽  
Analysis Software ◽  
Credit Analysis

Influence of information system quality, information quality and perceived usefulness on end-user satisfaction credit analysis software aims is to prove the effect of information system quality on end-user satisfaction credit analysis software, to prove the effect of information quality on end user satisfaction credit analysis software, to prove the effect of perceived usefulness on end user satisfaction credit analysis software, and last to prove the effect of system quality, information quality and perceived usefulness together on end-user satisfaction credit analysis software at PT. Bank Rakyat Indonesia, Tbk Bengkulu Branch. The data analysis method used is multiple linear regression analysis. Hypothesis testing obtained results are the quality of the information system has been proven to affect the satisfaction of end users of credit analysis software at PT. Bank Rakyat Indonesia, Tbk Bengkulu Branch. This means that LAS applications can increase data processing capacity, have a high-security system, have good data correction facilities. The quality of information has been proven to affect the satisfaction of end users of credit analysis software at PT. Bank Rakyat Indonesia, Tbk Bengkulu Branch, meaning LAS software can increase user satisfaction because the credit analysis conducted can produce accurate, reliable, timely, and relevant data. And the last result is Perceived usefulness is proven to affect the satisfaction of end users of credit analysis software at PT. Bank Rakyat Indonesia, Tbk Bengkulu Branch, meaning that the LAS application is very helpful in completing the analysis quickly, the LAS application is able to increase work effectiveness and the LAS application makes it easier for employees to complete work so as to increase user satisfaction. Keywords: Information System Quality, System Quality, User Satisfaction

Validating the End-User Computing Satisfaction Instrument for Online Shopping Systems

2010 ◽  
pp. 2078-2095
Author(s):  
Chung-Tzer Liu ◽  
Yi Maggie Guo
Keyword(s):  
Information Systems ◽  
User Satisfaction ◽  
Online Shopping ◽  
End Users ◽  
End User ◽  
Is Success ◽  
End User Computing

End user satisfaction has always been an important component of Information Systems (IS) success. This is also true for online applications, including online shopping systems where in addition to being a customer, the shoppers play the role of end users. Shoppers may not come back to or make a purchase on a website if they have an unsatisfactory experience. In this research, we focus on this aspect of online shopping by examining shoppers’ experiences as end users.

Understanding the Hidden Dissatisfaction of Users Towards End User Computing

2004 ◽  
pp. 202-225 ◽  
Author(s):  
Nancy C. Shaw ◽  
JJoo-Eng Lee-Partridge ◽  
James S.K. Ang
Keyword(s):  
User Satisfaction ◽  
Gap Analysis ◽  
End Users ◽  
Frames Of Reference ◽  
End User ◽  
Technological Frames ◽  
Individual Support ◽  
Technological Frames Of Reference ◽  
End User Computing

The objective of this research is to examine satisfied and dissatisfied end users in an organization to determine if they hold different technological frames of reference towards end user computing (EUC). This research examines the effectiveness of the computer systems at the organization, while at the same time measuring the level of end user satisfaction with the EUC environment. Grounded theory techniques for qualitative analysis of interviews were used to assess the technological frames of reference of selected highly satisfied and highly dissatisfied users. While analysis of the satisfaction surveys alone indicated that the user population was generally satisfied with their EUC environment, follow-up interviews and service quality gap analysis highlighted several individual support areas that required remedial action. In addition, satisfied and dissatisfied users held different views or technological frames of reference towards the technology they used. Their frames of reference affected their expectations of the technology, their interactions with the MIS support staff, and their utilization of the technology on a day-to-day basis.

An End-User Metadata Model on Object and Element Levels for Business Intelligence Users

2016 ◽  
Vol 7 (2) ◽  
pp. 50-58
Author(s):  
Yuriy Verbitskiy ◽  
William Yeoh
Keyword(s):  
Business Intelligence ◽  
User Satisfaction ◽  
End Users ◽  
End User ◽  
Metadata Model ◽  
Analysis Process ◽  
Report Analysis ◽  
Effective Use ◽  
Case Organization

The effective use of metadata can offer end users an improved understanding and greater level of assurance during the Business Intelligence (BI) report analysis process. This paper reports key findings from a case study that investigates critical end-user metadata issues in a large Australian organization. The findings led to the development of an end-user metadata model on object (report and cube) and element (term and column) levels, which can support effective BI use and potentially increase user satisfaction at the case organization. The adoption and use of BI applications by business stakeholders may be improved by incorporating the end-user metadata model.

Sign in / Sign up

Export Citation Format

Share Document