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.

Health Information Technology Spending on the Rise

2018 ◽  
pp. 1-14
Author(s):  
Jinhyung Lee ◽  
Hansil Choi
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Health Planning ◽  
Teaching Hospitals ◽  
Health It ◽  
Factors Affecting ◽  
For Profit ◽  
Not For Profit ◽  
Level Data

In this chapter, the authors track health information technology by examining the factors affecting health information technology (IT) expenditure. The authors 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. The authors found that not-for-profit and government hospitals, teaching hospitals, competition, and health IT expenditure of neighborhood hospitals were positively associated with health IT expenditure. However, rural hospitals were negatively associated with health IT expenditure. Moreover, the authors found that mean annual health IT expenditure was approximately $7.4 million from 2000-2006. However, it jumped 204% to $15.1 million from 2008-2014.

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 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.

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.

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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