A SYSTEMATIC LITERATURE REVIEW ON SAFE HEALTH INFORMATION TECHNOLOGY USE BEHAVIOUR

2016 ◽  
Vol 78 (4-3) ◽  
Author(s):  
Lizawati Salahuddin ◽  
Zuraini Ismail ◽  
Wardah Zainal Abidin
Keyword(s):  
Information Technology ◽  
Patient Safety ◽  
Literature Review ◽  
Health Information Technology ◽  
Health Information ◽  
Systematic Literature Review ◽  
Technology Use ◽  
It Adoption ◽  
Health It ◽  
Use Behavior

The implementation of health information technology (IT) is one of the strategy to improve patient safety due to medical errors. Nevertheless, inappropriate use of health IT may have serious consequences to the quality of care and patient safety. Most of the previous studies have been focused on the sociotechnical factors contributed to health IT related errors. Little focus has been given on the use behavior that influence the safety of health IT adoption. In order to address this gap, this study investigates the use behavior that influence the safety of health IT adoption. Systematic literature review was conducted to identify articles pertinent to safety of health IT. Science Direct, Medline, EMBASE, and CINAHL database were searched for reviews relevance articles. A total of 23 full articles were reviewed to extract use behavior that influence the safety of health IT adoption. Workarounds, adhere to procedure, vigilant action, and copy and paste behavior were discerned as the significance use behavior that influence health IT safety adoption. This study may be of significance in providing useful information on how to safely practice health IT adoption.  

scholarly journals Health Information Technology in Healthcare Quality and Patient Safety: Literature Review (Preprint)

2018 ◽  
Author(s):  
Sue S Feldman ◽  
Scott Buchalter ◽  
Leslie W. Hayes
Keyword(s):  
Information Technology ◽  
Patient Safety ◽  
Literature Review ◽  
Health Information Technology ◽  
Health Information ◽  
Interface Design ◽  
Healthcare Quality ◽  
Resource Planning ◽  
Health It ◽  
Quality And Patient Safety

BACKGROUND The area of healthcare quality and patient safety is starting to use health information technology to prevent reportable events, identify them before they become issues, and act on events that are thought to be unavoidable. As healthcare organizations begin to explore the use of health information technology in this realm, it is often unclear where fiscal and human efforts should be focused. OBJECTIVE The purpose of this study was to provide a foundation for understanding where to focus health information technology fiscal and human resources as well as expectations for the use of health information technology in healthcare quality and patient safety. METHODS A literature review was conducted to identify peer-reviewed publications reporting on the actual use of health information technology in healthcare quality and patient safety. Inductive thematic analysis with open coding was used to categorize a total of 41 studies. Three pre-set categories were used: prevention, identification, and action. Three additional categories were formed through coding: challenges, outcomes, and location. RESULTS This study identifies five main categories across seven study settings. A majority of the studies used health IT for identification and prevention of healthcare quality and patient safety issues. In this realm, alerts, clinical decision support, and customized health IT solutions were most often implemented. Implementation, interface design, and culture were most often noted as challenges. CONCLUSIONS This study provides valuable information as organizations determine where they stand to get the most “bang for their buck” relative to health IT for quality and patient safety. Knowing what implementations are being effectivity used by other organizations helps with fiscal and human resource planning as well as managing expectations relative to cost, scope, and outcomes. The findings from this scan of the literature suggest that having organizational champion leaders that can shepherd implementation, impact culture, and bridge knowledge with developers would be a valuable resource allocation to consider.

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.

Factors Affecting Health Information Technology Expenditure in California Hospitals

2018 ◽  
pp. 1437-1449
Author(s):  
Jinhyung Lee
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Health Planning ◽  
Teaching Hospitals ◽  
It Adoption ◽  
Health It ◽  
It Investment ◽  
Factors Affecting ◽  
For Profit

This paper investigates the factors affecting health information technology (IT) investment. Different from previous studies, health IT was measured as the dollar amount of hardware, software and labor related health IT. This study employed Hospital and Patient level data of the Office of Statewide Health Planning and Development (OSHPD) from 2000 to 2006. The generalized linear model (GLM) was employed with log link and normal distribution and controlled for clustering error. This study found that not-for-profit and government hospital, teaching hospitals, competition, health IT expenditure of neighborhood hospitals were positively associated with health IT expenditure. However, rural hospitals were negatively associated with health IT expenditure. Moreover, this study found a significant increase in health IT investment over seven years resulted from increased clinical IT adoption.

Factors Affecting Health Information Technology Expenditure in California Hospitals

2015 ◽  
Vol 10 (2) ◽  
pp. 1-13
Author(s):  
Jinhyung Lee
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Health Planning ◽  
Teaching Hospitals ◽  
It Adoption ◽  
Health It ◽  
It Investment ◽  
Factors Affecting ◽  
Dollar Amount

This paper investigates the factors affecting health information technology (IT) investment. Different from previous studies, health IT was measured as the dollar amount of hardware, software and labor related health IT. This study employed Hospital and Patient level data of the Office of Statewide Health Planning and Development (OSHPD) from 2000 to 2006. The generalized linear model (GLM) was employed with log link and normal distribution and controlled for clustering error. This study found that not-for-profit and government hospital, teaching hospitals, competition, health IT expenditure of neighborhood hospitals were positively associated with health IT expenditure. However, rural hospitals were negatively associated with health IT expenditure. Moreover, this study found a significant increase in health IT investment over seven years resulted from increased clinical IT adoption.

scholarly journals Improved efficiency of coding systems with health information technology

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jinhyung Lee ◽  
Jae-Young Choi
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Healthcare Providers ◽  
Cost Savings ◽  
It Adoption ◽  
Health It ◽  
Case Mix Index ◽  
Coding Systems ◽  
The Cost

AbstractThis study aimed to investigate the impact of health information technology (IT) on the Case Mix Index (CMI). This study was a retrospective cohort study using hospital financial data from the Office of Statewide Health Planning and Development (OSHPD) in California. A total of 309 unique hospitals were included in the study for 7 years, from 2009 to 2015, resulting in 2,135 hospital observations. The effects of health information technology (IT) on the Case Mix Index (CMI) was evaluated using dynamic panel data analysis to control endogeneity issues. This study found that more health IT adoption could lead to a lower CMI by improving coding systems. Policy makers, researchers, and healthcare providers must be cautious when interpreting the effect of health IT on the CMI. To encourage the adoption of health IT, the cost savings and reimbursement reductions resulting from health IT adoption should be compared. If any profit loss occurs (i.e., the cost savings is less than reimbursement reduction), more incentives should be provided to healthcare providers.

Sign in / Sign up

Export Citation Format

Share Document