Relevant bibliographies by topics / Health technology adoption

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Health technology adoption'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Health technology adoption"

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Carter, Bernie. "Technology adoption in health care." Journal of Child Health Care 18, no. 4 (December 2014): 299–301. http://dx.doi.org/10.1177/1367493514561844.

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Nawaz, Samsudeen Sabraz, and Mohamed Hussain Thowfeek. "Blockchain Technology Adoption by Chain Professionals." International Journal of Psychosocial Rehabilitation 24, no. 1 (January 31, 2020): 121–37. http://dx.doi.org/10.37200/ijpr/v24i1/pr200113.

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Chesworth, Elaine, Katie Wyart, and Paul Chrisp. "OP33 Adopting Health Technologies: NICE Approach For Evidence Into Action." International Journal of Technology Assessment in Health Care 34, S1 (2018): 13–14. http://dx.doi.org/10.1017/s0266462318000910.

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Introduction:Evidence and guidance alone do not change practice. A multitude of factors are influential upon whether a particular health technology is adopted in practice. The adoption team at the National Institute for Health and Care Excellence (NICE) engages with healthcare professionals to develop specifically tailored support for the adoption of NICE health technology assessments (NICE medical technologies, diagnostics and technology appraisal guidance).Methods:The NICE adoption team uses a structured process which involves engagement of healthcare professionals with experience or knowledge of the technology to identify the barriers to adoption. This information is used to populate the topic selection tool which presents the impact of adopting the technology under five headings: care pathway change; finance; difficulty to implement; education; and, patient acceptance. The result indicates which guidance would benefit from adoption support: plan and develop tailored solutions to address barriers to adoption which include a resource impact assessment and targeted communications; quality assure; and, publish tailored resources.Results:Examples of tailored outputs include: adoption resources sharing real world experiences of sites that have adopted the technology; and, NICE pilot projects, where the adoption team work closely with sites to support adoption of the technology at a local level. The team then share learning and results from the project to facilitate: engagement with national planning groups to coordinate wider scale adoption; resource impact assessments which help local cost impact of adoption to be estimated; engagement with general and specialist media; and, influencing national tariff.Conclusions:NICE's processes have evolved to facilitate the development of a wider variety of more tailored resources, to support adoption of NICE health technology assessments guidance into practice. We will continue to engage with healthcare professionals and be responsive in our processes to ensure the packages of adoption support are tailored to need.
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Blumenthal, David. "Stimulating the Adoption of Health Information Technology." New England Journal of Medicine 360, no. 15 (April 9, 2009): 1477–79. http://dx.doi.org/10.1056/nejmp0901592.

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SCHNEIDER, MARY ELLEN. "Health Information Technology Adoption Varies by Specialty." Skin & Allergy News 38, no. 11 (November 2007): 56. http://dx.doi.org/10.1016/s0037-6337(07)70900-2.

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Selder, Astrid. "Physician reimbursement and technology adoption." Journal of Health Economics 24, no. 5 (September 2005): 907–30. http://dx.doi.org/10.1016/j.jhealeco.2005.03.004.

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Han, Kyung Jung, Roma Subramanian, and Glen T. Cameron. "Listen before you leap: Sri Lankan health professionals’ perspectives on m-health." Health Informatics Journal 25, no. 3 (August 21, 2017): 858–66. http://dx.doi.org/10.1177/1460458217725903.

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Given the increasingly widespread use of mobile phones in the developing world, the application of this technology for healthcare (also referred to as m-health) has tremendous potential. However, there is a need for more research on factors that influence the sustainable and scalable adoption of m-health in developing countries. To fill this gap, in this study, drawing on the theory of diffusion of innovation, we conducted in-depth interviews with 29 health professionals in Sri Lanka to understand their views on the benefits and barriers to adopting m-health. Participants had mixed views on the adoption of this technology. Reasons for m-health adoption included efficiency and usefulness in emergency situations. Barriers to adoption included risks for miscommunication/misinterpretation and lack of systems/policies for implementing m-health technology. With regard to the innovation-decision process, most participants appear to be in the stages of “persuasion” and “decision”; with regard to degree of innovativeness, interviewees comprise a mix of “early adopters” and “laggards.” Assuming mobile health apps afford improvements in health outcomes for developing countries, contextual factors in each national setting should inform design and implementation of m-health interventions.
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Dam, Linda, Deya Roy, David J. Atkin, and Dana Rogers. "Applying an Integrative Technology Adoption Paradigm to Health App Adoption and Use." Journal of Broadcasting & Electronic Media 62, no. 4 (October 2, 2018): 654–72. http://dx.doi.org/10.1080/08838151.2018.1519568.

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Dey, Asoke, B. S. Vijayaraman, and Jeong Hoon Choi. "RFID in US hospitals: an exploratory investigation of technology adoption." Management Research Review 39, no. 4 (April 18, 2016): 399–424. http://dx.doi.org/10.1108/mrr-09-2014-0222.

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Purpose Radio-frequency identification (RFID) systems are transforming hospital operations by improving care and reducing costs. However, hospital managers have some concerns about adopting RFID technologies. These are cost, return on investment, privacy and other technology issues. This study examines RFID adoption in health-care industry based on the Technology-Organization-Environment framework. This paper aims to demonstrate how US hospitals are adopting RFID technologies and make recommendations, using empirical data. Design/methodology/approach An online survey was sent to Chief Information Officers and the top information technology (IT) executives of US acute care hospitals to determine the extent to which hospitals have implemented RFID technologies including the reasons, concerns and applications of RFID technologies, and the antecedents of RFID adoption in hospitals. Findings The study found that a high percentage of respondents have adopted or are considering adopting RFID technology as a new management tool. Organizational and technological factors have strong positive influence on adoption, whereas environmental factors do not significantly affect the adoption decisions. The main reasons for implementing RFID technology are improved hospital operations, including inventory management, asset control, workflow and patient flow. Some of the concerns are cost of RFID tags and cost associated with implementation. Research limitations/implications This study is limited to a small sample (n = 86) of US hospitals. This study should continue to be replicated in the future, as adoption of RFID technologies matures in the health-care sector. Originality/value This study informs health-care managers on the challenges and opportunities of RFID by identifying motivations, barriers and issues related to RFID adoption. The findings of this study will expand the emerging literature and provide direction to academicians for further research in technology adoption.
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Freedman, Seth, Haizhen Lin, and Kosali Simon. "Public health insurance expansions and hospital technology adoption." Journal of Public Economics 121 (January 2015): 117–31. http://dx.doi.org/10.1016/j.jpubeco.2014.10.005.

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Dissertations / Theses on the topic "Health technology adoption"

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Wenger, Tara Renee Brenneman. "Health Information Technology Adoption by Mental Health Organizations." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523481704831465.

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Agha, Leila (Leila Shaw). "Essays on health economics and technology adoption." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65481.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references.
This thesis studies the economics of technology adoption in the healthcare industry. The first chapter analyzes the impact of health information technology (HIT) on the quality and intensity of care delivered to Medicare inpatients. Building an organizational model, I show how the adoption of HIT may improve patient health and may either increase or decrease medical expenditures. Using Medicare claims data from 1998-2005, I estimate the effects of HIT by exploiting variation in hospitals' adoption statuses over time, analyzing 2.5 million inpatient admissions across 3900 hospitals. HIT is associated with an initial 1.3% increase in billed charges. Additionally, HIT adoption appears to have little impact on the quality of care, measured by patient mortality, medical complication rates, adverse drug events, and readmission rates. These results are robust to the addition of rich controls for pre-trends. The findings suggest that HIT is not associated with improvements in either the efficiency or quality of hospital care for Medicare patients, through five years after adoption. In the second chapter, I investigate the scope for physician learning about the value and applications of new medical technologies across geographic regions. In particular, I analyze the diffusion of positron emission tomography and deep brain stimulation, using data on Medicare claims from 1998-2005. The mix of patient diagnoses treated with the new technologies changes substantially during the early stages of diffusion. Moreover, states that are late to adopt these technologies do not repeat the process of experimental learning undertaken by early adopters to discover which patients should receive the new treatment In the third chapter, I analyze several policy initiatives that aim to manage the usage of medical technologies and discuss key determinants of technology adoption that may be fruitful targets for future research and policy intervention. Effective technology policy must balance cost, control with a recognition that new medical technologies have been associated with tremendous health and longevity gains. I find that existing Medicare coverage determinations and state certificate of need programs appear to have little influence on actual resource utilization, in part driven by lack of enforcement of existing policies.
by Leila Agha.
Ph.D.
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Majedi, Armin. "Consumer Adoption of Personal Health Records." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31232.

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Health information technology (HIT) aims to improve healthcare services by means of technological tools. Patient centered technologies such as personal health records are relatively new HIT tools that enable individuals to get involved in their health management activities. These tools enable the transformation of health consumer behavior from one of passive health information consumers to that of active managers of their health information. This new role is more interactive and engaged, and with such tools, patients can better navigate their lives, and exercise more control over their treatments, hence potentially also leading to improvement in the quality of health services. Despite the benefits of using personal health record systems for health consumers, the adoption rate of these systems remains low. Many free and paid services have not received the uptake that had been anticipated when these services were first introduced. This study investigates some factors that affect the adoption of these systems, and may shed light on some potential reasons for low adoption rates. In developing the theoretical model of this study, social cognitive theory (SCT) and technology acceptance model (TAM) were utilized. The theoretical model was validated through a quantitative survey-based methodology, and the results were derived using structural equation modeling techniques. The key findings of this study highlight the role of individual and environmental factors as determinants of end-user behavior in the adoption of personal health records. The results show that in addition to perceptions of usefulness and ease of use, factors such as social norms and technology awareness are also significantly associated with various factors that directly and indirectly affect intention to use PHRs Based on the results obtained in this study, recommendations are offered for technology providers, and possible directions are proposed for academic researchers.
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Hu, Paul Jen-Hwa 1962. "Management of telemedicine technology in healthcare organizations: Technology acceptance, adoption, evaluation, and their implications." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/282579.

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As an exciting information technology-based innovation, telemedicine has potential to enhance physicians' patient care and management, improve healthcare organizations' operations and performance, and cause a paradigmatic shift in health care toward a progressively emerging digital practice. Previous research has concentrated on technology developments and clinical applications and therefore offers limited discussion of technology management. Managing telemedicine technology in healthcare organizations is so complex and dynamic that it has been an important factor in the failure of many early telemedicine attempts. This dissertation research directly addressed organizational management of telemedicine technology. To deal with complexity and dynamism, the research took a multi-phase approach, using a research framework built upon a well-established theoretical foundation. Case study was used in the exploratory phase to provide detailed understanding of the underlying technology implementation process and to generate specific research questions or models for the subsequent descriptive/explanatory phase. Systematic linkage of these investigations was safeguarded by desired methodological triangulation. Findings from the case study and substantiating interviews identified technology acceptance, adoption and evaluation as problematic areas in organizational technology management. Findings of a survey study administered to most physicians practicing in public tertiary hospitals in Hong Kong suggested that perceived usefulness and ease of use, self-efficacy, and subjective norms were important to their accepting telemedicine technology. Similarly, a survey conducted with hospital executive officers, chiefs of service and center directors of all Hong Kong public healthcare establishments indicated that service needs, attitudes of medical staff, and the technology's benefits, risks and compatibility were essential to organizational technology adoption. In addition, results of an evaluative experimental study showed that the clinical decision- making of physicians can be improved through use of appropriate telemedicine technology. The combined findings suggested that these separate technology management issues were closely interrelated rather than isolated. Effects of a technology on physicians' patient care and management practice have important impacts on their technology acceptance, which, in turn, needs to be considered by their affiliating organization when making an adoption decision.
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Wang, Thomas Dean. "Essays on Public Outcomes Reporting and Technology Adoption in Health Care." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10179.

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This dissertation consists of three essays on hospital-based healthcare delivery. The first essay examines the effect of public reporting of hospital-level surgical mortality rates on patient outcomes in the context of California’s coronary artery bypass graft (CABG) report cards and the Acute Coronary Syndrome (ACS) population from 2004-2007. Compared to control states, I find that observed mortality rates in California improved by 12-19% after the introduction of report cards with the effect relating to quality improvement in all areas of patient care, including initial care of acute patients, surgery characteristics, and postoperative care. The second essay examines the diffusion of robotic surgery technology and its effect on patient treatment patterns. The diffusion of this technology has coincided with a rapid period of growth in surgical treatment of prostate cancer, and this has raised questions of whether technology adoption is driving overtreatment. I find that technology adoption accounts for 37-73% of increased age-adjusted surgery rates, and this is substitution away from radiation therapy. However, robotic surgery adoption explains only 12-24% of the increased total surgical volume. I show that, instead, two population trends account for most of the growth in surgery volume. The third essay examines the relationship between robotic surgery adoption and the market structure of the surgical treatment of prostate cancer. I show strong correlation between hospital robot adoption and increases in market share. Higher diffusion of robotic surgery is associated with exit of small volume providers from this procedure market and growth in the number and size of high volume providers, whose collective market share nearly doubled from 2003 to 2009. This market consolidating effect accelerated the availability of the new treatment to patients and has implications for how strategic competition may drive technology diffusion.
Economics
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Besar, Sa'aid Hafizah. "The Adoption of Health Technology Assessment (HTA) in Selected Southeast Queensland Hospitals." Thesis, Griffith University, 2014. http://hdl.handle.net/10072/367692.

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New health technologies are undoubtedly one of the most significant contributors in improving health and quality of life. Nonetheless, they also create challenges in ensuring they provide value for money and that they are safe and effective. In order to address these issues, health technology assessment (HTA) processes have been developed. Today, HTA has become an essential tool for making decisions about choosing and introducing new health technologies. However, concern has been expressed about HTA dissemination and use by decision makers especially at the institutional level. There is little published research to date from the HTA users’ point of view in this area of concern. Thus, this study aims to investigate the effectiveness of the dissemination of HTA products at the institutional level using the diffusion of innovation theory supplemented by the promoting action on research implementation in health services (PARIHS) framework as the research conceptual framework in order to determine the major determinants. These determinants include the decision making processes for introducing new health technologies, and the organisational and individual factors that contribute to the adoption processes in hospitals.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Public Health
Griffith Health
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Hart, Traci A. "Acceptance and adoption of health information technology: An assessment of attitudes toward personal health records." Diss., Wichita State University, 2009. http://hdl.handle.net/10057/2551.

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A multitude of Health Information Technology (HIT) products are being introduced into the market to address some of the numerous challenges within the healthcare industry through the use of electronic, interoperable record keeping and communication. The focus of this research is on personal health records (PHRs) which are electronic records of personal health-related information for a single individual that can be drawn from multiple interoperable sources to share and manage their health. Due to PHRs being in their infancy, and currently low adoption rates, the purpose of these studies was to identify the consumer characteristics most likely related to acceptance, adoption and use of PHR innovations. First, a series of seven focus groups was conducted to gather qualitative information about the attitudes toward PHR technologies. Themes derived from the discussions (positive and negative initial reactions, different formats for record keeping, communication trends, and perceived benefits and barriers) aided the development of a survey to assess attitudes, beliefs and intentions to use PHRs. Second, an online PHR survey was administered (N = 401) and the results from the 35 attitude items were factor analyzed, resulting in 6 distinct factors: Perceived Usefulness, Technology Self-Efficacy, Perceived Ease-of-Use, Perceived Behavioral Control, Health Literacy, and Health Status. These six factors and demographic characteristics were then used to evaluate the equivalence of PHR-adoption group membership (non-users and contemplators). Results indicated that although major differences in attitudes toward PHRs were not found from the survey responder's demographics (age, race, sex, income, education, health status, technology experience), some factor scales could differentiate between groups. Respondents with larger scale scores on Perceived Usefulness, Perceived Ease-of-Use and Perceived Behavioral Control tended to indicate that a survey responder agreed more often with these concepts and would likely decide viii to use or invest in PHR technologies (contemplators) in the future. Those responders who were not interested in PHRs tended to disagree more or have lower scores on the Health Literacy items (knowing how to obtain their health information, understanding printed health information, and being an educated patient). In conclusion, widespread adoption and use of PHRs may not occur unless (1) the technology provides perceptible value to users (usefulness) and is easy to learn and use, and (2) more general education is given on the uses of health information to increase health literacy. PHRs seem to be accepted as a good idea, but without changes in some external factors, adoption of PHRs for the masses may not become reality any time soon.
Thesis (Ph.D.)--Wichita State University, College of Liberal Arts and Sciences, Dept. of Psychology
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Diiro, Gracious M. "Essays in Technology Adoption and Child Development Using Semiparametric Econometrics." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374222488.

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Onyeachu, Precious. "The role of age and illness in the adoption of tele-health." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/14666.

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This study investigates how the introduction of Tele-Health impacts the lives of the frail elderly and older adults, and how their condition influences this experience. This study investigates the underlying issues with the adoption of Tele-health by the patients. It also considers the lived experiences of the patients in reference to their disease and age. Method: A qualitative approach was adopted, which was an in-depth interview conducted in Chorleywood Health Centre, a GP practice to the North West of London. Participants consisted of older adults living with chronic diseases, mainly diabetes and COPD, in order to gain a complex understanding of their reaction towards Tele-Health, as they are usually the target market for such tools. 30 participants took part in the study and were provided with a Tele-health service tool. The data were then thematically analysed using the thematic analysis method and transcribed using NVIVO10. Four databases were searched to find relevant literature namely: ScienceDirect, PubMed Central, Scopus and Medline. Research Design: The study adopted Interpretative Phenomenological Analysis (IPA) to collect and analyse data. In IPA, the researcher transcends or suspends past knowledge and experience to understand a phenomenon at a deeper level (Creswell, 2007). It is an approach, which seeks to explore, describe, and analyse the meaning of individual lived experience: “how they perceive it, describe it, feel about it, judge it, remember it, make sense of it, and talk about it with others” (with a sense of ‘newness’ or ‘rawness’ to obtain descriptive and rich data). Results: Nine main themes emerged as influences on their acceptance and adoption of Tele-health: Attitude to aging and Illness, Coping Strategy, Relationship and Support, Patient-Doctor Interaction, Incorporating Patients, Self-Efficacy, Personality, Personal Meaning and Knowledge. The themes were also reviewed at the end of the study to validate the results. Moreover the themes were observed to be considered explicitly by the patients before accepting and adopting the Tele Health service. A new framework, the Patient Technology Adoption Model (PTAM) is derived from the themes. The PTAM indicates the relationship between the factors and may be used to understand the ways in which the patients made their decision to accept the technology or not. Conclusion: This study encourages healthcare providers and decision makers who are responsible for the innovation and implementation of services to make all efforts to understand the consumer and consider conditions that might influence their decisions to accept, adopt or reject health technologies. The study proposes a new framework (PTAM) that highlights that a patient-centred approach should be adopted by healthcare providers and decision makers, as it would facilitate more successes in the health services provided by the NHS.
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Rahimi, Noshad. "Developing a Mixed-Methods Method to Model Elderly Health Technology Adoption with Fuzzy Cognitive Map, and Its Application in Adoption of Remote Health Monitoring Technologies by Elderly Women." Thesis, Portland State University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10840581.

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Providing healthcare to the ever-rising elderly population has become a severe challenge and a top priority. Emerging innovations in healthcare, such as remote health monitoring technologies, promise to provide a better quality of care and reduce the cost of healthcare. However, many elderly people reject healthcare innovations. This lack of adoption constitutes a big practical problem because it keeps the elderly from benefiting from technology advances. The phenomenon is even more pronounced among elderly women, who represent the majority of the elderly population.

A plethora of studies in the field of technology adoption resulted in sound, but highly generalized theories that are too parsimonious to provide practical insight into the phenomenon of elderly healthcare technology adoption (EHTA). There is a call to arms for novel approaches that facilitate the creation of models that expand technology adoption theories to the specifics of EHTA. This dissertation is a response to this call to arms, and it contributes to modeling practice in the EHTA field. It uses fuzzy cognitive mapping to design a novel mixed-methods modeling approach. Since elderly women constitute the majority of the elderly population, this dissertation treats elderly women’s health technology adoption (EWHTA) as the case-in-point.

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Books on the topic "Health technology adoption"

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J, Philipson Tomas, ed. Innovation and technology adoption in health care markets. Washington, D.C: AEI Press, 2008.

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MD, Taylor Roger, and Rand Corporation, eds. The state and pattern of health information technology adoption. Santa Monica, CA: Rand Corp., 2005.

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Baker, Laurence Claude. Managed care, technology adoption, and health care: The adoption of neonatal intensive care. Cambridge, MA: National Bureau of Economic Research, 2000.

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Jena, Anupam B. Endogenous cost-effectiveness analysis in health care technology adoption. Cambridge, MA: National Bureau of Economic Research, 2009.

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Baker, Laurence Claude. Managed care and technology adoption in health care: Evidence from magnetic resonance imaging. Cambridge, MA: National Bureau of Economic Research, 2000.

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Gupta, Indrani. Adoption of health technologies in India: Implications for the AIDS vaccine. Los Angeles: Sage Publications, 2007.

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Goldman, Dana P. Socioeconomic differences in the adoption of new medical technologies. Cambridge, MA: National Bureau of Economic Research, 2005.

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House, United States Congress. A bill to amend the Public Health Service Act to promote the adoption of health information technology, and for other purposes. Washington, D.C: U.S. G.P.O., 2008.

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Lleras-Muney, Adriana. The effect of education on medical technology adoption: Are the more educated more likely to use new drugs? Cambridge, MA: National Bureau of Economic Research, 2002.

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United States. Congress. House. A bill to promote the adoption and meaningful use of health information technology, and for other purposes. [Washington, D.C.?]: [United States Government Printing Office], 2008.

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Book chapters on the topic "Health technology adoption"

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Hogaboam, Liliya, and Tugrul U. Daim. "Decision Models Regarding Electronic Health Records." In Healthcare Technology Innovation Adoption, 151–85. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-17975-9_7.

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Kök, Orhun Mustafa, Nuri Basoglu, and Tugrul U. Daim. "Adoption Factors of Electronic Health Record Systems." In Healthcare Technology Innovation Adoption, 189–249. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-17975-9_8.

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Behkami, Nima A., and Tugrul U. Daim. "Introduction to the Adoption of Health Information Technologies." In Healthcare Technology Innovation Adoption, 3–8. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-17975-9_1.

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Behkami, Nima A., and Tugrul U. Daim. "Background Literature on the Adoption of Health Information Technologies." In Healthcare Technology Innovation Adoption, 9–35. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-17975-9_2.

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Zhang, Shuai, Sally McClean, Chris Nugent, Sonja O’Neill, Mark Donnelly, Leo Galway, Bryan Scotney, and Ian Cleland. "Prediction of Assistive Technology Adoption for People with Dementia." In Health Information Science, 160–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37899-7_14.

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McBeth, Brian D., Brittany Partridge, Arthur W. Douville, and Felix Ankel. "Humility as a Core Value for the Adoption of Technology in Medicine: Building a Foundation for Communication and Collaboration." In Advanced Health Technology, 95–120. New York: Productivity Press, 2023. http://dx.doi.org/10.4324/9781003348603-9.

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Snowdon, Anne W., Jeremy Shell, Kellie Leitch, O. Ont, and Jennifer J. Park. "Health Information Technology in Canada’s Health Care System: Innovation and Adoption." In Intelligent Decision Technologies, 763–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22194-1_75.

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Dantu, Ramakrishna, Radha Mahapatra, and Jingguo Wang. "Influence of Technology Affordance on the Adoption of Mobile Technologies for Diabetes Self-management." In Smart Health, 104–15. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67964-8_10.

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Oyebode, O. J. "Adoption of Environmental Engineering Strategies for Public Health and Sustainable Development." In Green Energy and Technology, 197–209. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95820-6_17.

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Rahimi, Noshad, Antonie J. Jetter, Charles M. Weber, and Katherine Wild. "Soft Data Analytics with Fuzzy Cognitive Maps: Modeling Health Technology Adoption by Elderly Women." In Advanced Data Analytics in Health, 59–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77911-9_4.

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Conference papers on the topic "Health technology adoption"

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Rahimi, Noshad, and Antonie Jetter. "Explaining health technology adoption: Past, present, future." In 2015 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2015. http://dx.doi.org/10.1109/picmet.2015.7273030.

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Behkami, Nima A., and Tugrul U. Daim. "An analysis model for Health Information Technology adoption." In 2011 IEEE International Technology Management Conference (ITMC). IEEE, 2011. http://dx.doi.org/10.1109/itmc.2011.5996014.

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Topacan, Umit, A. Nuri Basoglu, and Tugrul U. Daim. "Exploring the success factors of health information service adoption." In Technology. IEEE, 2008. http://dx.doi.org/10.1109/picmet.2008.4599871.

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Chan, Leong, Muhammad Amer, and Fahad Aldhaban. "Adoption & evaluation of personal health record (PHR) system." In Technology. IEEE, 2009. http://dx.doi.org/10.1109/picmet.2009.5261741.

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Zenios, Stefanos. "Information Technology in Health Care Systems: Barriers to Adoption." In 2006 International Multi-Conference on Computing in the Global Information Technology - (ICCGI'06). IEEE, 2006. http://dx.doi.org/10.1109/iccgi.2006.35.

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Ndayizigamiye, Patrick, and Manoj Maharaj. "Mobile health adoption in Burundi: A UTAUT perspective." In 2016 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2016. http://dx.doi.org/10.1109/ghtc.2016.7857342.

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Cassak, David. "Technology's challenge: technology adoption in a managed care environment for health care product companies." In Health Care Technology Policy II: The Role of Technology in the Cost of Health Care: Providing the Solutions, edited by Warren S. Grundfest. SPIE, 1995. http://dx.doi.org/10.1117/12.225346.

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Rubin, Ariel, and Jacques Ophoff. "Investigating Adoption Factors of Wearable Technology in Health and Fitness." In 2018 Open Innovations (OI). IEEE, 2018. http://dx.doi.org/10.1109/oi.2018.8535831.

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"Healthcare information technology innovation and sustainability: Frontiers and adoption [advertisement]." In 2017 International Rural and Elderly Health Informatics Conference (IREHI). IEEE, 2017. http://dx.doi.org/10.1109/ireehi.2017.8350471.

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Alvarez-Castanon, Lorena Del Carmen, Pilar Arroyo, Marco Contreras-Cruz, and Carlos Villasenor-Mora. "Health 4.0 and its Potential Adoption and Contribution to the Mexican Health System." In 2022 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2022. http://dx.doi.org/10.23919/picmet53225.2022.9882603.

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Reports on the topic "Health technology adoption"

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Comin, Diego, Jonathan Skinner, and Douglas Staiger. Overconfidence and Technology Adoption in Health Care. Cambridge, MA: National Bureau of Economic Research, August 2022. http://dx.doi.org/10.3386/w30345.

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Comin, Diego, Jonathan Skinner, and Douglas Staiger. Overconfidence and technology adoption in health care. The IFS, August 2022. http://dx.doi.org/10.1920/wp.ifs.2022.3322.

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Freedman, Seth, Haizhen Lin, and Kosali Simon. Public Health Insurance Expansions and Hospital Technology Adoption. Cambridge, MA: National Bureau of Economic Research, May 2014. http://dx.doi.org/10.3386/w20159.

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Baker, Laurence, and Ciaran Phibbs. Managed Care, Technology Adoption, and Health Care: The Adoption of Neonatal Intensive Care. Cambridge, MA: National Bureau of Economic Research, September 2000. http://dx.doi.org/10.3386/w7883.

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Jena, Anupam, and Tomas Philipson. Endogenous Cost-Effectiveness Analysis in Health Care Technology Adoption. Cambridge, MA: National Bureau of Economic Research, June 2009. http://dx.doi.org/10.3386/w15032.

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Abrams, Melinda K. Abrams, Michelle M. Doty Doty, Pamela Riley Riley, and Jamie Ryan Ryan. The Adoption and Use of Health Information Technology by Community Health Centers, 2009-2013. New York, NY United States: Commonwealth Fund, May 2014. http://dx.doi.org/10.15868/socialsector.18139.

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Baker, Laurence. Managed Care and Technology Adoption in Health Care: Evidence from Magnetic Resonance Imaging. Cambridge, MA: National Bureau of Economic Research, November 2000. http://dx.doi.org/10.3386/w8020.

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Gillen, Emily, Olivia Berzin, Adam Vincent, and Doug Johnston. Certified Electronic Health Record Technology Under the Quality Payment Program. RTI Press, January 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0014.1801.

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The 2016 Quality Payment Program (QPP) is a Medicare reimbursement reform designed to incentivize value-based care over volume-based care. A core tenet of the QPP is integrated utilization of certified electronic health record technology (CEHRT). Adopting and implementing CEHRT is a resource-intensive process, requiring both financial capital and human capital (in the form of knowledge and time). Adoption can be especially challenging for small or rural practices that may not have access to such capital. In this issue brief, we discuss the role of CEHRT in the QPP and offer policy recommendations to help small and rural practices improve their health information technology (IT) capabilities with regards to participation in value-based care. The QPP requires practices to have health IT capabilities, both as a requirement for a complete performance score and to facilitate reporting. Practices that are unable to implement CEHRT will have difficulty complying with the new reimbursement system, and will likely incur financial losses. We recommend monetary support and staff training to small and rural practices for the adoption of CEHRT, and we recommend assistance to help practices comply with the requirements of the QPP and coordinate with other small and rural practices for reporting purposes.
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Rahimi, Noshad. Developing a Mixed-Methods Method to Model Elderly Health Technology Adoption with Fuzzy Cognitive Map, and its Application in Adoption of Remote Health Monitoring Technologies by Elderly Women. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6395.

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Goyeneche, Laura, Cynthia Boruchowicz, Florencia Lopez Boo, Luis Tejerina, Benjamin Roseth, and Jennifer Nelson. Pandemics, privacy, and adoption of technology: Perceptions of the use of digital tools and data sharing during COVID-19 from 10 Latin American countries. Inter-American Development Bank, December 2022. http://dx.doi.org/10.18235/0004546.

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This study describes the perception, adoption, and acceptance factors involved in the deployment of digital technologies for public health in Latin America and considers the implications for future digital health interventions. We conducted a descriptive analysis using nationally representative data from a phone survey conducted in 2020 in 10 countries in Latin America. We found that early in the pandemic, in countries with existing applications, 74% of the population used a smartphone, 47% had knowledge of the government app to report symptoms, but only 2% reported using it. Those interviewed reported that they are willing to share their personal data during a pandemic (61%) 50 percentage points higher than in non-pandemic times, although understanding how their personal data was used by the government and private companies was extremely low. More than 70% reported that they would use an application to report symptoms and would use an app that accesses their location or that uses contact tracing technology to alert them about possible exposure. Also, at least half of the users agree with preventive measures against COVID-19 such as daily follow-up calls, tracking via GPS for quarantine enforcement, and daily visits. In all countries, adoption of digital technologies increases if individuals or their relatives report they are infected; it decreases when end-users do not trust the anonymity policies or are concerned about government surveillance. Yet, encouraging greater adoption of digital technologies strongly depends on who designed the technology. Results show that 73% of users would prefer an app designed by an international organization such as the WHO to an app designed by the local government (64%) or a telephone company (56%). The study concludes with a reflection on the promising results of digital technologies and discusses the importance of considering users perceptions, factors for acceptance, and trust when pursuing adoption of digital technologies.
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