scholarly journals Nurses� Experience With Health Information Technology: Longitudinal Qualitative Study (Preprint)

2017 ◽  
Author(s):  
Inga M Zadvinskis ◽  
Jessica Garvey Smith ◽  
Po-Yin Yen
Keyword(s):  
Information Technology ◽  
Qualitative Study ◽  
Health Information Technology ◽  
Health Information ◽  
Organizational Level ◽  
Future Research ◽  
Bar Code ◽  
Time Points ◽  
Nurses Perceptions ◽  
Over Time

BACKGROUND Nurses are the largest group of health information technology (HIT) users. As such, nurses’ adaptations are critical for HIT implementation success. However, longitudinal approaches to understanding nurses’ perceptions of HIT remain underexplored. Previous studies of nurses’ perceptions demonstrate that the progress and timing for acceptance of and adaptation to HIT varies. OBJECTIVE This study aimed to explore nurses’ experience regarding implementation of HIT over time. METHODS A phenomenological approach was used for this longitudinal qualitative study to explore nurses’ perceptions of HIT implementation over time, focusing on three time points (rounds) at 3, 9, and 18 months after implementation of electronic health records and bar code medication administration. The purposive sample was comprised of clinical nurses who worked on a medical-surgical unit in an academic center. RESULTS Major findings were categorized into 7 main themes with 54 subthemes. Nurses reported personal-level and organizational-level factors that facilitated HIT adaptation. We also generated network graphs to illustrate the occurrence of themes. Thematic interconnectivity differed due to nurses’ concerns and satisfaction at different time points. Equipment and workflow were the most frequent themes across all three rounds. Nurses were the most dissatisfied approximately 9 months after HIT implementation. Eighteen months after HIT implementation, nurses’ perceptions appeared more balanced. CONCLUSIONS It is recommended that organizations invest in equipment (ie, wireless barcode scanners), refine policies to reflect nursing practice, and improve systems to focus on patient safety. Future research is necessary to confirm patterns of nurses’ adaptation to HIT in other samples.

A Classification Analysis of the Success of Open Source Health Information Technology Projects

2011 ◽  
pp. 256-273
Author(s):  
Evangelos Katsamakas ◽  
Balaji Janamanchi ◽  
Wullianallur Raghupathi ◽  
Wei Gao
Keyword(s):  
Information Technology ◽  
Open Source ◽  
Health Information Technology ◽  
Health Information ◽  
Open Source Software ◽  
Future Research ◽  
Software Projects ◽  
Information Technology Projects ◽  
Development Status ◽  
Future Research Directions

As the number of open source software (OSS) projects in healthcare grows rapidly, researchers are faced with the challenge of understanding and explaining the success of the open source phenomenon. This article proposes a research framework that examines the roles of project sponsorship, license type, development status and technological complements in the success of open source health information technology (HIT) projects and it develops a systematic method for classifying projects based on their success potential. Drawing from economic theory, a novel proposition in the authors’ framework suggests that higher project-license restrictiveness will increase OSS adoption, because organizations will be more confident that the OSS project will remain open source in the future. Applying the framework to a sample of open source software projects in healthcare, the authors find that although project sponsorship and license restrictiveness influence project metrics, they are not significant predictors of project success categorization. On the other hand, development status, operating system and programming language are significant predictors of an OSS project’s success categorization. Application implications and future research directions are discussed.

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 Determining Health Information Technology Use by the Transgender Population: A Scoping Review

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Albert Liu ◽  
Joy Lee ◽  
Michael Weiner
Keyword(s):  
Information Technology ◽  
Social Media ◽  
Health Information Technology ◽  
Health Information ◽  
Scoping Review ◽  
Technology Use ◽  
Future Research ◽  
Inclusion Criteria ◽  
Transgender People ◽  
Online Social Media

Background: Transgender people face many potential barriers in healthcare, such as real or perceived discrimination, inability to pay for healthcare services, and misinformation about transgender health needs. It has been hypothesized that, because of these barriers, transgender people may be more receptive to using health information technology than other populations. The purpose of this scoping review was to understand the ways transgender people use health information technology. Methods: This scoping review included English studies that addressed use of technology by transgender people in health sciences literature. The inclusion criteria was studies that documented transgender technology use and did not include studies that only focused on technology use by healthcare providers. Included studies were sorted into categories based on the type of technology transgender participants used. Results: Twenty-nine articles met the study inclusion criteria from an initial pool of 1,276 articles searched from online databases. Many studies were involved with multiple categories. Fourteen articles addressed websites targeting transgender people, twelve included the usage of online social media sites, seven articles involved transgender usage of online surveys, and four articles discussed transgender usage of smartphones in health management. Conclusion and potential impact: Twenty-two studies focused on the application of interventions through websites and social media sites, nineteen of which concluded that web-based health information or interventions were feasible methods to affect the health of transgender people. Sixteen studies concluded that online interactions were accepted, if not preferred, by their transgender participants. This review suggests that further integration of online interventions and healthcare information into these mediums may increase transgender engagement in healthcare and reduce healthcare barriers. Future research to improve understanding of the outcomes of health information technology on the health of transgender people would be an asset for treating a historically medically underserved community.

scholarly journals The Effects of Health Information Technology Change Over Time: A Study of Tele-ICU Functions

2012 ◽  
Vol 03 (02) ◽  
pp. 239-247 ◽  
Author(s):  
D.D. Woods ◽  
S. Schweikhart ◽  
P. Ebright ◽  
E. Patterson ◽  
S.H. Anders
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
New Technology ◽  
Geographic Region ◽  
Functional Categories ◽  
Safety Features ◽  
Changes Over Time ◽  
Over Time

SummaryObjective: Longitudinal studies exploring the evolution of health information technology functions provide valuable information about how technology systems are integrated and exploited in situ. This study reports changes in the distribution of functions for a specific health information technology, the tele-ICU, over time. The studied tele-ICU provided care to six remote ICUs within a local geographic region in the same state and had nursing staff around the clock.Methods: The intervention logs of tele-ICU nurses were collected during two discrete times and coded into nine emergent functional categories, who initiated the intervention and, if required, subsequent escalation. All coded functional categories were investigated for significant changes over time in the nursing logged interventions.Results: A total of 1927 interventions were coded into the nine emergent functional categories. Seven of the nine categories (78%) were significantly different between 2005 and 2007. The functions of the tele-ICU system continue to change and develop over time.Conclusion: These findings suggest that the tele-ICU increased support when ICU nurses were off the unit, inter-hospital coordinating and adherence to best practices, while simultaneously decreasing real-time support for ICU nurses. This research suggests that sustaining safety features in a new technology over time have post-conditions after implementation.

scholarly journals Investigating the ways in which health information technology can promote antimicrobial stewardship: a conceptual overview

2017 ◽  
Vol 110 (8) ◽  
pp. 320-329 ◽  
Author(s):  
Abby King ◽  
Kathrin M Cresswell ◽  
Jamie J Coleman ◽  
Sarah K Pontefract ◽  
Ann Slee ◽  
...  
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Antimicrobial Stewardship ◽  
National Policy ◽  
Antibiotic Use ◽  
Future Research ◽  
Future Research Agenda ◽  
Policy Agendas ◽  
Conceptual Overview

Antimicrobial resistance is now recognised as a threat to health worldwide. Antimicrobial stewardship aims to promote the responsible use of antibiotics and is high on international and national policy agendas. Health information technology has the potential to support antimicrobial stewardship in a number of ways, but this field is still poorly characterised and understood. Building on a recent systematic review and expert roundtable discussions, we take a lifecycle perspective of antibiotic use in hospitals and identify potential targets for health information technology-based interventions to support antimicrobial stewardship. We aim for this work to help chart a future research agenda in this critically important area.

A Classification Analysis of the Success of Open Source Health Information Technology Projects

2009 ◽  
Vol 4 (4) ◽  
pp. 19-36 ◽  
Author(s):  
Evangelos Katsamakas ◽  
Balaji Janamanchi ◽  
Wullianallur Raghupathi ◽  
Wei Gao
Keyword(s):  
Information Technology ◽  
Open Source ◽  
Health Information Technology ◽  
Health Information ◽  
Open Source Software ◽  
Future Research ◽  
Software Projects ◽  
Information Technology Projects ◽  
Development Status ◽  
Future Research Directions

As the number of open source software (OSS) projects in healthcare grows rapidly, researchers are faced with the challenge of understanding and explaining the success of the open source phenomenon. This article proposes a research framework that examines the roles of project sponsorship, license type, development status and technological complements in the success of open source health information technology (HIT) projects and it develops a systematic method for classifying projects based on their success potential. Drawing from economic theory, a novel proposition in the authors’ framework suggests that higher project-license restrictiveness will increase OSS adoption, because organizations will be more confident that the OSS project will remain open source in the future. Applying the framework to a sample of open source software projects in healthcare, the authors find that although project sponsorship and license restrictiveness influence project metrics, they are not significant predictors of project success categorization. On the other hand, development status, operating system and programming language are significant predictors of an OSS project’s success categorization. Application implications and future research directions are discussed.

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