scholarly journals Change management and adoption of health information technology (HIT)/eHealth in public hospitals in Ghana: A qualitative study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Salifu Yusif ◽  
Abdul Hafeez-Baig ◽  
Jeffrey Soar

In Ghana, as with other developing countries, there are several health information technology (HIT) initiatives as interventions to improve healthcare delivery. HIT implementation undoubtedly results in change. However, most studies relating to HIT implementation readiness have constantly neglected the role of change in successfully implementing HIT. This study intends to identify factors affecting successful change management as part of preparation towards successfully implementing HIT in public hospital in Ghana. To carry out this study, we conducted in-depth interviews with a matrix of HIT senior managers and thematically analyzed the data. The data was transcribed and uploaded into a Nvivo 11 software for analysis using thematic analysis techniques. Five (5) themes were discovered. They are: 1) Stakeholder participation; 2) Proof of experience in similar project; 3) Availability of committed change agents/all-levels-change representatives; 4) Clearly articulated change implementation strategy; and 5) Training and improvement mechanism (post-implementation). A fresh call is made for more attention to be paid to change as part of preparatory measures towards the adoption of HIT in Ghana using the five cardinal approaches identified as a guide.

Author(s):  
Elizabeth M. Borycki ◽  
Andre W. Kushniruk

Borycki, Elizabeth M.; Kushniruk, Andre W. Health information technology has the potential to greatly improve healthcare delivery. Indeed, in recent years many have argued that introduction of information technology will be essential in order to decrease medical error and increase healthcare safety. In this chapter we review some of the evidence that has accumulated indicating the positive benefits of health information technology for improving safety in healthcare. However, a number of recent studies have indicated that if systems are not designed and implemented properly health information technology may actual inadvertently result in new types of medical errors—technology-induced errors. In this chapter we discuss where such error may arise and propose a model for conceptualizing and diagnosing technology-induced error so that the benefits of technology can be achieved while the likelihood of the occurrence of technology-induced medical error is reduced.


2015 ◽  
Vol 5 (1) ◽  
pp. 32-45 ◽  
Author(s):  
Liam Peyton ◽  
Jaspreet Bindra ◽  
Aladdin Baarah ◽  
Austin Chamney ◽  
Craig Kuziemsky

Health information technology (HIT) offers great potential for supporting healthcare delivery, particularly collaborative care delivery that is provided across multiple settings and providers. To date much of HIT design has focused on digitizing data or processes on a departmental or healthcare provider basis. However, this bounded approach has not scaled well for supporting community based care across disparate providers or settings because of the lack of boundaries (e.g. disprate data and processes) that exist in community based care. Cloud computing approaches that leverage mobile form applications for developing integrated HIT solutions have the potential to support collaborative healthcare delivery in the community. However, to date there is a shortage of methods that describe how to develop integrated cloud computing solutions to support community based care delivery. In particular there is a need for methods that identify how to incorporate boundaries into cloud computing systems design. This paper uses a three year case study of the design of the Palliative Care Information System (PAL-IS) to provide system design insight on cloud computing approaches that leverage mobile forms applications to support community care management.


2008 ◽  
pp. 1799-1809 ◽  
Author(s):  
Theodore L. Perry ◽  
Travis Tucker ◽  
Laurel R. Hudson ◽  
William Gandy ◽  
Amy L. Neftzger ◽  
...  

Healthcare has become a data-intensive business. Over the last 30 years, we have seen significant advancements in the areas of health information technology and health informatics as well as healthcare modeling and artificial intelligence techniques. Health informatics, which is the science of health information,1 has made great progress during this period (American Medical Informatics Association). Likewise, data mining, which has been generally defined as the application of technology and statistical/mathematical methods to uncover relationships and patterns between variables in data sets, has experienced noteworthy improvements in computer technology (e.g., hardware and software) in addition to applications and methodologies (e.g., statistical and biostatistical techniques such as neural networks, regression analysis, and classification/segmentation methods) (Kudyba & Hoptroff, 2001). Though health informatics is a relatively young science, the impact of this area on the health system and health information technology industry has already been seen, evidenced by improvements in healthcare delivery models, information systems, and assessment/diagnostic tools.


2010 ◽  
Vol 49 (01) ◽  
pp. 28-36 ◽  
Author(s):  
M. Jaana ◽  
C. Sicotte ◽  
G. Paré

Summary Objectives: The primary aim of this study was to assess the antecedents of health information technology (HIT) innovativeness in public hospitals. To do so, we built upon our own previous work to relate the level of HIT innovativeness to organizational capacity characteristics. Methods: We conducted a survey of chief information officers (CIOs) in public hospitals in the two largest Canadian provinces to identify the level of HIT innovativeness in these settings and test nine research hypotheses derived from the proposed research model. Results: A total of 106 completed questionnaires were received, which represents a response rate of 52%. Our findings indicate strong support for the research model. Seven out of nine hypotheses were supported indicating a significant relationship between HIT innovativeness and structural, financial, leadership, and knowledge sharing capacity characteristics. Results also reveal a moderate level of HIT innovativeness in the surveyed hospitals, with more emphasis on administrative systems and their integration than on clinical systems and emerging technologies. Conclusions: This study demonstrates that organizational characteristics are related to HIT innovativeness; this relationship holds irrespective of the public or private nature of hospitals.


2019 ◽  
Author(s):  
Tayebeh Baniasadi ◽  
Marjan Ghazisaeedi ◽  
Mehdi Hassaniazad ◽  
Sharareh R. Niakan Kalhori ◽  
Mehraban Shahi

Abstract Background: Understanding each of the factors affecting the length of hospitalization especially in surgery wards can play a major role in planning for the optimal use of hospital resources. This study aims to determine factors affecting the length of stay (LOS) in a surgical ward and then provide technology-based solutions .Methods: In this cross-sectional study, 310 records were selected by systematic random sampling from hospitalized patients in surgery ward of a general teaching hospital in Bandar Abbas, situated in sought of Iran. In order to determine the association of 26 variables (demographic, clinical, and non-clinical) with LOS, analytical and descriptive statistics were used. Then, the researchers reviewed relevant literature in PubMed, Scopus, and Google Scholar to introduce solutions based on health information technology (HIT) toward LOS optimization.Results: Mean and median of patients’ LOS in surgery ward were 3.30±3.71 and 2 days respectively. According to multivariate regression model, factors that exerted higher influence on length of stay includes number of para-clinical tests, surgeries, and consultation as well as type of referral and months of admission(p<0.05). Regarding HIT-based intervention, eleven general categories of suggestions were provided. Based on the findings, more accessible technologies such as hospital information system, picture archiving and communication system, telemedicine especially tele-consultation or tele-visit as well as electronic consultation and discharge planning tools alongside smart dashboards for institutions like the center under study in order to expedite the process of diagnosis and treatment, then optimizing LOS seem appropriate. Conclusions: It is important to move toward optimized LOS though understanding and control influential factors; standardize LOS along with continuous monitoring of performance indicators may help to utilize hospital resources more efficiently. HIT-based interventions may support health care providers and administrators to manage patients` admission, hospitalization, transfer, and discharge processes more properly. Keywords: Index; length of Stay; Hospital; Health Information Technology; Surgery_ward


Author(s):  
Jinhyung Lee ◽  
Hansil Choi

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.


Author(s):  
Jinhyung Lee

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.


Oncology ◽  
2017 ◽  
pp. 187-202
Author(s):  
Liam Peyton ◽  
Jaspreet Bindra ◽  
Aladdin Baarah ◽  
Austin Chamney ◽  
Craig E. Kuziemsky

Health information technology (HIT) offers great potential for supporting healthcare delivery, particularly collaborative care delivery that is provided across multiple settings and providers. To date much of HIT design has focused on digitizing data or processes on a departmental or healthcare provider basis. However, this bounded approach has not scaled well for supporting community based care across disparate providers or settings because of the lack of boundaries (e.g. disprate data and processes) that exist in community based care. Cloud computing approaches that leverage mobile form applications for developing integrated HIT solutions have the potential to support collaborative healthcare delivery in the community. However, to date there is a shortage of methods that describe how to develop integrated cloud computing solutions to support community based care delivery. In particular there is a need for methods that identify how to incorporate boundaries into cloud computing systems design. This paper uses a three year case study of the design of the Palliative Care Information System (PAL-IS) to provide system design insight on cloud computing approaches that leverage mobile forms applications to support community care management.


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