End-User Participation in Health IT Development

2012 ◽  
pp. 318-340 ◽  
Author(s):  
Anna Marie Balling Høstgaard
Keyword(s):  
Information Technology ◽  
Health Information ◽  
Success Factors ◽  
Planning Process ◽  
Social Groups ◽  
User Participation ◽  
Health It ◽  
End User ◽  
Cumulative Knowledge ◽  
First Time

Despite there being extensive cumulative knowledge and many experiences about factors that contribute to health Information Technology (HIT) success, lessons are yet to be learned as many HIT developments still face a number of problems - many of them of an organizational nature. This chapter presents a new method - the EUPHIT method – for studying and understanding one of the most crucial organizational success factors in HIT development: end-user participation. The method was developed and used for the first time throughout a research study of an EHR planning process in a Danish region. It has proved effective in disclosing the interactions that occur between the different social groups involved in HIT development, and in understanding the underlying reasons for these. This allows HIT project management to explore new avenues during the development process in order to support, facilitate, and improve real end-user participation.

End-User Participation in Health IT Development

2012 ◽  
pp. 608-629
Author(s):  
Anna Marie Balling Høstgaard
Keyword(s):  
Information Technology ◽  
Health Information ◽  
Success Factors ◽  
Planning Process ◽  
Social Groups ◽  
User Participation ◽  
Health It ◽  
End User ◽  
Cumulative Knowledge ◽  
First Time

Despite there being extensive cumulative knowledge and many experiences about factors that contribute to health Information Technology (HIT) success, lessons are yet to be learned as many HIT developments still face a number of problems - many of them of an organizational nature. This chapter presents a new method - the EUPHIT method – for studying and understanding one of the most crucial organizational success factors in HIT development: end-user participation. The method was developed and used for the first time throughout a research study of an EHR planning process in a Danish region. It has proved effective in disclosing the interactions that occur between the different social groups involved in HIT development, and in understanding the underlying reasons for these. This allows HIT project management to explore new avenues during the development process in order to support, facilitate, and improve real end-user participation.

Constructive eHealth Evaluation

2016 ◽  
pp. 44-86 ◽  
Author(s):  
Anna Marie Balling Høstgaard
Keyword(s):  
Evaluation Method ◽  
Planning Process ◽  
Analytical Framework ◽  
User Participation ◽  
Success Factor ◽  
End User ◽  
Body Of Knowledge ◽  
Adoption And Implementation ◽  
Extensive Body ◽  
First Time

Despite the existence of an extensive body of knowledge about best practices and factors that contribute to the successful development and adoption of eHealth, many eHealth development-projects still face a number of problems - many of them of an organizational nature. This chapter presents a new method: “The Constructive eHealth evaluation method” aimed at supporting real end-user participation - a well-known success factor in eHealth development. It provides an analytical framework for achieving real end-user participation during the different phases in the eHealth lifecycle. The method was developed and used for the first time during the evaluation of an EHR planning process in a Danish region. It has proven effective for providing management at more levels on-going information and feedback from end-users, allowing management to change direction during eHealth development in order to achieve the most successful adoption and implementation of eHealth in healthcare environments.

Constructive eHealth Evaluation

2016 ◽  
pp. 2141-2174
Author(s):  
Anna Marie Balling Høstgaard
Keyword(s):  
Evaluation Method ◽  
Planning Process ◽  
Analytical Framework ◽  
User Participation ◽  
Success Factor ◽  
End User ◽  
Body Of Knowledge ◽  
Adoption And Implementation ◽  
Extensive Body ◽  
First Time

Despite the existence of an extensive body of knowledge about best practices and factors that contribute to the successful development and adoption of eHealth, many eHealth development-projects still face a number of problems - many of them of an organizational nature. This chapter presents a new method: “The Constructive eHealth evaluation method” aimed at supporting real end-user participation - a well-known success factor in eHealth development. It provides an analytical framework for achieving real end-user participation during the different phases in the eHealth lifecycle. The method was developed and used for the first time during the evaluation of an EHR planning process in a Danish region. It has proven effective for providing management at more levels on-going information and feedback from end-users, allowing management to change direction during eHealth development in order to achieve the most successful adoption and implementation of eHealth in healthcare environments.

Analyzing the Role of Health Information Technology in Global Health Care

2017 ◽  
pp. 694-714
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Global Health ◽  
Patient Care ◽  
Health Information Technology ◽  
Health Information ◽  
Health Care Providers ◽  
Health It ◽  
Design Development ◽  
Global Health Care

This chapter explains the perspectives on global health, the overview of health information technology (health IT), the applications of electronic health record (EHR), and the importance of health IT in global health care. Health IT is the area of IT involving the design, development, creation, utilization, and maintenance of information systems for the health care industry. Health IT makes it possible for health care providers to better manage patient care through the secure use and sharing of health information. Effective health IT can lower costs, improve efficiency, and reduce medical error, while providing better patient care and service. The chapter argues that utilizing health IT has the potential to enhance health care performance and reach strategic goals in global health care.

Analyzing the Role of Health Information Technology in Global Health Care

2017 ◽  
pp. 287-307 ◽  
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Global Health ◽  
Patient Care ◽  
Health Information Technology ◽  
Health Information ◽  
Health Care Providers ◽  
Health It ◽  
Design Development ◽  
Global Health Care

This chapter explains the perspectives on global health, the overview of health information technology (health IT), the applications of electronic health record (EHR), and the importance of health IT in global health care. Health IT is the area of IT involving the design, development, creation, utilization, and maintenance of information systems for the health care industry. Health IT makes it possible for health care providers to better manage patient care through the secure use and sharing of health information. Effective health IT can lower costs, improve efficiency, and reduce medical error, while providing better patient care and service. The chapter argues that utilizing health IT has the potential to enhance health care performance and reach strategic goals in global health care.

Successful Health Information System Implementation

2011 ◽  
pp. 1103-1111
Author(s):  
Kristiina Häyrinen
Keyword(s):  
Information System ◽  
Project Management ◽  
Information Systems ◽  
Health Information ◽  
Success Factors ◽  
Health Information System ◽  
Implementation Process ◽  
Initial System ◽  
System Implementation ◽  
End User

A Standish Group (1994) study showed that only 16% of all information technology projects come in on time and within budget. The situation is not better concerning health information systems. Many health information system implementations are less than completely successful (Berg, 2001; Giuse & Kuhn, 2003; Lorenzi & Riley, 2003). In this article, the health information system means “a system, whether automated or manual, that comprises people, machines and /or methods organized to collect, process, transmit, and disseminate” data that represent user information in healthcare (Kuhn & Giuse, 2001, pp. 275). What is successful implementation and whose success is measured? Successes can be measured in many ways. Delone and McLean have been finding out the success factors of management information system which are also applicable to health information system. The success factors are: system qualities, e.g., the ease of use or time savings, information quality, e.g., completeness or data accuracy, usage, e.g., the frequency of use or the number of entries, user satisfaction, e.g., user-friendliness or overall satisfaction, individual impact, e.g., changed work practices or direct benefits and organizational impact, e.g., communication and collaboration or impact on patient care. Furthermore, user involvement during system development, implementation and organizational culture have been identified as possible factors measuring the success. However, the need for further research to determine which attributes are the most useful ones in measuring success has also been revealed. (van der Meijden, Tange, Troost & Hashman, 2003). The different phases in implementation process are, in general, user needs and requirements analysis (specification), system design, initial system implementation and testing (Ahmad, Teater, Bentley, Kuehn, Kumar, Thomas & Me-khjian, 2002; Schuster, Hall, Couse, Swayngim & Kohatsu, 2003; Souther, 2001). The system requirements analysis includes workflow analysis, and the initial system implementation includes the technical installation of the information system, integration of the information system to other information systems and users’ training. Project management is an important factor in every phase of the implementation project. The purpose of this article is to highlight the health information system implementation process from end-user perspective. Which factors are crucial in the implementation process from the point of view of the end-users? How does project management contribute to the implementation process, what is the role of the end-user in system designing and how does training effect the information system implementation?

Two Important Topics for 2012: Electronic Health Records and mHealth

2012 ◽  
Vol 47 (1) ◽  
pp. 62-63 ◽  
Author(s):  
I. Fox Brent ◽  
G. Felkey Bill
Keyword(s):  
Information Technology ◽  
Electronic Health Records ◽  
Health Information Technology ◽  
Health Information ◽  
Health It ◽  
Time And Space ◽  
Health Records ◽  
Electronic Health

As the new year begins, we like to reflect on where health information technology (IT) has been and where it is going. We are not fond of rehashing the minutia regarding every event that occurred in the health IT domain, so we will not spend our time and space presenting an exhaustive review. We will, however, touch on the continuing efforts surrounding electronic health records (EHRs). We will also focus forward in discussing an emerging area that we are closely following.

scholarly journals A Survey of the Literature on Unintended Consequences Associated with Health Information Technology: 2014–2015

2016 ◽  
Vol 25 (01) ◽  
pp. 13-29 ◽  
Author(s):  
J. Abraham ◽  
L. L. Novak ◽  
T. L. Reynolds ◽  
A. Gettinger ◽  
K. Zheng
Keyword(s):  
Information Technology ◽  
Time Series ◽  
Health Information Technology ◽  
Health Information ◽  
Unintended Consequences ◽  
Adverse Outcomes ◽  
Future Research ◽  
Health It ◽  
Recorded Data ◽  
The Impact

SummaryObjective: To summarize recent research on unintended consequences associated with implementation and use of health information technology (health IT). Included in the review are original empirical investigations published in English between 2014 and 2015 that reported unintended effects introduced by adoption of digital interventions. Our analysis focuses on the trends of this steam of research, areas in which unintended consequences have continued to be reported, and common themes that emerge from the findings of these studies.Method: Most of the papers reviewed were retrieved by searching three literature databases: MEDLINE, Embase, and CINAHL. Two rounds of searches were performed: the first round used more restrictive search terms specific to unintended consequences; the second round lifted the restrictions to include more generic health IT evaluation studies. Each paper was independently screened by at least two authors; differences were resolved through consensus development.Results: The literature search identified 1,538 papers that were potentially relevant; 34 were deemed meeting our inclusion criteria after screening. Studies described in these 34 papers took place in a wide variety of care areas from emergency departments to ophthalmology clinics. Some papers reflected several previously unreported unintended consequences, such as staff attrition and patients’ withholding of information due to privacy and security concerns. A majority of these studies (71%) were quantitative investigations based on analysis of objectively recorded data. Several of them employed longitudinal or time series designs to distinguish between unintended consequences that had only transient impact, versus those that had persisting impact. Most of these unintended consequences resulted in adverse outcomes, even though instances of beneficial impact were also noted. While care areas covered were heterogeneous, over half of the studies were conducted at academic medical centers or teaching hospitals. Conclusion: Recent studies published in the past two years represent significant advancement of unintended consequences research by seeking to include more types of health IT applications and to quantify the impact using objectively recorded data and longitudinal or time series designs. However, more mixed-methods studies are needed to develop deeper insights into the observed unintended adverse outcomes, including their root causes and remedies. We also encourage future research to go beyond the paradigm of simply describing unintended consequences, and to develop and test solutions that can prevent or minimize their impact.

scholarly journals Managing the patient safety risks of bottom-up health information technology innovations: Recommendations for healthcare providers

2018 ◽  
Vol 25 (1) ◽  
pp. 7-13 ◽  
Author(s):  
Mark A. Sujan
Keyword(s):  
Information Technology ◽  
Risk Management ◽  
Health Information Technology ◽  
Health Information ◽  
Management Strategies ◽  
Healthcare Providers ◽  
Local Health ◽  
Health It ◽  
Bottom Up ◽  
Patients At Risk

Health information technology (IT) offers exciting opportunities for providing novel services to patients, and for improving the quality and safety of care. Many healthcare professionals are already improving services through the development of numerous bottom-up local health IT innovations. Such innovations from the ground up are to be welcomed, but healthcare providers are struggling to develop processes for managing the risks that come with the introduction of health IT into clinical processes. I argue that too often the main strategy appears to be one of organisational ignorance. This puts patients at risk, and it threatens the successful adoption of health IT. I recommend that healthcare providers focus on strengthening their processes for organisational learning, promoting proactive risk management strategies, and making risk management decisions transparent and explicit.

scholarly journals Effects of health information technology on patient outcomes: a systematic review

2015 ◽  
Vol 23 (5) ◽  
pp. 1016-1036 ◽  
Author(s):  
Samantha K Brenner ◽  
Rainu Kaushal ◽  
Zachary Grinspan ◽  
Christine Joyce ◽  
Inho Kim ◽  
...  
Keyword(s):  
Information Technology ◽  
Patient Safety ◽  
Health Information Technology ◽  
Health Information ◽  
Clinical Decision ◽  
Cochrane Library ◽  
Health It ◽  
Term Care ◽  
Safety Outcomes

Abstract Objective To systematically review studies assessing the effects of health information technology (health IT) on patient safety outcomes. Materials and Methods The authors employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement methods. MEDLINE, Cumulative Index to Nursing Allied Health (CINAHL), EMBASE, and Cochrane Library databases, from 2001 to June 2012, were searched. Descriptive and comparative studies were included that involved use of health IT in a clinical setting and measured effects on patient safety outcomes. Results Data on setting, subjects, information technology implemented, and type of patient safety outcomes were all abstracted. The quality of the studies was evaluated by 2 independent reviewers (scored from 0 to 10). A total of 69 studies met inclusion criteria. Quality scores ranged from 1 to 9. There were 25 (36%) studies that found benefit of health IT on direct patient safety outcomes for the primary outcome measured, 43 (62%) studies that either had non-significant or mixed findings, and 1 (1%) study for which health IT had a detrimental effect. Neither the quality of the studies nor the rate of randomized control trials performed changed over time. Most studies that demonstrated a positive benefit of health IT on direct patient safety outcomes were inpatient, single-center, and either cohort or observational trials studying clinical decision support or computerized provider order entry. Discussion and Conclusion Many areas of health IT application remain understudied and the majority of studies have non-significant or mixed findings. Our study suggests that larger, higher quality studies need to be conducted, particularly in the long-term care and ambulatory care settings.

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