Relevant bibliographies by topics / Computers and health care

Contents

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

Academic literature on the topic 'Computers and health care'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Computers and health care"

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Seaman, Claire EA. "Computers in health care: word processing." British Journal of Therapy and Rehabilitation 1, no. 3-4 (November 2, 1994): 149–50. http://dx.doi.org/10.12968/bjtr.1994.1.3-4.149.

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O’Desky, R. I., M. J. Ball, and E. E. Ball. "Computers in Health Care for the 21st Century." Methods of Information in Medicine 29, no. 02 (1990): 158–61. http://dx.doi.org/10.1055/s-0038-1634772.

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AbstractAs the world enters the last decade of the 20th Century, there is a great deal of speculation about the effect of computers on the future delivery of health care. In this article, the authors attempt to identify some of the evolving computer technologies and anticipate what effect they will have by the year 2000. Rather than listing potential accomplishments, each of the affected areas: hardware, software, health care systems and communications, are presented in an evolutionary manner so the reader can better appreciate where we have been and where we are going.
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Brown, Ted, Brett Williams, Shapour Jaberzadeh, Louis Roller, Claire Palermo, Lisa McKenna, Caroline Wright, et al. "Predictors of attitudes to e‐learning of Australian health care students." Journal of Applied Research in Higher Education 2, no. 1 (January 1, 2010): 60–76. http://dx.doi.org/10.1108/17581184201000006.

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Computers and computer‐assisted instruction are being used with increasing frequency in the area of health science student education, yet students’ attitudes towards the use of e‐learning technology and computer‐assisted instruction have received limited attention to date. The purpose of this study was to investigate the significant predictors of health science students’ attitudes towards e‐learning and computer‐assisted instruction. All students enrolled in health science programmes (n=2885) at a large multi‐campus Australian university in 2006‐2007, were asked to complete a questionnaire. This included the Online Learning Environment Survey (OLES), the Computer Attitude Survey (CAS), and the Attitude Toward Computer‐Assisted Instruction Semantic Differential Scale (ATCAISDS). A multiple linear regression analysis was used to determine the significant predictors of health science students’ attitudes to e‐learning. The Attitude Toward Computers in General (CASg) and the Attitude Toward Computers in Education (CASe) subscales from the CAS were the dependent (criterion) variables for the regression analysis. A total of 822 usable questionnaires were returned, accounting for a 29.5 per cent response rate. Three significant predictors of CASg and five significant predictors of CASe were found. Respondents’ age and OLES Equity were found to be predictors on both CAS scales. Health science educators need to take the age of students and the extent to which students perceive that they are treated equally by a teacher/tutor/instructor (equity) into consideration when looking at determinants of students’ attitudes towards e‐learning and technology.
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Janca, Aleksandar, and Gavin Andrews. "Computers in psychiatric care." Current Opinion in Psychiatry 12, no. 6 (November 1999): 701–4. http://dx.doi.org/10.1097/00001504-199911000-00020.

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Lewis, Glyn. "Computers in primary care." International Review of Psychiatry 4, no. 3-4 (January 1992): 307–10. http://dx.doi.org/10.3109/09540269209066333.

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Mohr, David N. "Aspects of the Computer-Based Patient Record (Computers in Health Care series)." Mayo Clinic Proceedings 68, no. 9 (September 1993): 933. http://dx.doi.org/10.1016/s0025-6196(12)60712-5.

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Seaman, Claire. "Computers in health care 2: nutritional analysis software." British Journal of Therapy and Rehabilitation 2, no. 3 (March 2, 1995): 139–41. http://dx.doi.org/10.12968/bjtr.1995.2.3.139.

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Sundararajan, S. "Computers and health care what is the connection?" Primary Health Care 6, no. 10 (November 1996): 9. http://dx.doi.org/10.7748/phc.6.10.9.s12.

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Gürdaş Topkaya, Sati, and Nurten Kaya. "Nurses' computer literacy and attitudes towards the use of computers in health care." International Journal of Nursing Practice 21 (May 7, 2014): 141–49. http://dx.doi.org/10.1111/ijn.12350.

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Hassona, Farida M., Aziza Z. F. Ali, and Shaimaa M. Nageeb. "Nursing Students’ Computer Self-Efficacy and Attitudes toward Its Use in The Health Care Setting: A Comparative Study." Evidence-Based Nursing Research 1, no. 4 (January 10, 2020): 9. http://dx.doi.org/10.47104/ebnrojs3.v1i4.90.

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Context: The use of technology and computers in health care has been reported to improve nurses' decision-making and competencies, which in turn increase the quality of health-care practice. Aim: of this study is to assess and compare nursing students’ computer self-efficacy and attitudes toward its use in a health care setting in the Faculty of nursing – Benha and Hail Universities. Methods: A descriptive comparative cross-sectional study design was used to achieve the current study aim. The study conducted in the Faculty of Nursing - Banha University, Egypt, and Faculty of Nursing – Hail University, Kingdom of Saudi Arabia. Quota sampling of 219 students was chosen as follows; 190 students from the Faculty of Nursing - Banha University and 29 students from the Faculty of Nursing – Hail University. A structured self-administered questionnaire covering sociodemographic data, the pretest for attitudes toward computers in healthcare, and computer self-efficacy scales were the tool used to collect the study data. Results: 33% of nursing students from Benha University were have a realistic view of current computer capabilities in health care. In contrast, 28% of nursing students from Hail had a very positive view of computer use in health care. Nursing students at Hail University have the highest mean score compared to Benha nursing students (79.45±15.85 & 61.2±7.25, respectively) in their attitudes toward computer and computer self-efficacy. Benha nursing students have moderate computer self-efficacy compared with Hail nursing students who have a high computer self-efficacy level. A highly statistically significant relationship was detected between students' attitudes toward computers and computer self-efficacy (p-value=0.000). Also, there was a highly positive, statistically significant correlation between the demographic variables of nursing students and both students’ attitudes toward computers in health care and computer self-efficacy (p-value =0.00). Conclusion: Nursing students in both universities have a positive attitude toward computer use. A significant difference between the mean scores of the two groups in their attitude toward computer and self-efficacy was detected, with a highly statistically significant correlation between both students’ attitudes and their self-efficacy. Also, a significant relationship revealed between the studied students’ demographics and their attitude and self-efficacy. Future studies are recommended to evaluate existing technologies in terms of acceptance, effectiveness, and efficiency in real-life settings and to examine its effect on patient outcomes. Nurse educators should design training courses and educational programs to enhance computer self-efficacy beliefs among nursing students.
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Dissertations / Theses on the topic "Computers and health care"

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Yildiz, Ozkan. "A Comprehensive Model For Measuring Health Care Process Quality: Health Care Process Quality Measurement Model (hpqmm)." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614318/index.pdf.

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Similar to the manufacturing sector, process improvement gains much attention in health care sector. Measuring process quality is one of the most important components of process improvement and numerous healthcare quality indicator models are developed to achieve this aim. Existing quality models focus on some specific diseases, clinics or clinical areas. Although they contain structure, process, or output type measures, there is no model which measures the quality of health care processes comprehensively. As a result, hospitals cannot compare quality of processes internally and externally. To bring a solution to the above problems, we developed Health Care Process Quality Measurement Model (HPQMM), and it is applied in three public hospital&rsquo
s laboratory and assessment processes. We observed that, the developed model determines weak and strong aspects of the processes, gives a detailed picture for the process quality, extends the quality aspects of existing models, and provides quantifiable information to hospitals to compare their processes with multiple organizations.
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Mani, Kartik M. 1978. "Computer support for home-based health care." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86818.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
Includes bibliographical references (leaves 75-76).
by Kartik M. Mani.
M.Eng.
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Chou, Caroline. "Selfies for Health Care." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2277.

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Presently, self-tracking applications are used to help patients with chronic illness management. For example, applications ask users to track mood through online diaries or snap photos of their food content in order to analyze patterns correlated to their chronic disease. Although these health care applications are on the market today, there still exists a fundamental challenge in motivating participants to consistently update and enter information. Therefore, the focus of this thesis is on reducing the fatigue from using these applications. Pulling from user social media data will almost completely eliminate the capture burden placed on participants, since users will only have to continue to use social media as they regularly do. Instead of analyzing manually inputted data, patterns can be found between social media data and chronic diseases. A Microsoft Research team found indicators in public user Twitter data associated with the onset of a depressive episode. They were able to create a predictor tool, predicting the onset of a depressive episode, with 70 percent accuracy. Using this research alongside expert feedback, our aim is to design an interface used by both clinician and patient that will provide them with a timeline marking spikes in Twitter indicators correlated to a patient’s depressive episode.
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Grant, Sally Jane. "Computers in the consultation in general medical practice : some effects on the delivery of health care." Thesis, University of Nottingham, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335327.

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Akbasoglu, Beyza. "Usability Evaluation Of Mobile Information And Communications Technology In Health Care." Phd thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615758/index.pdf.

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Technology plays an increasingly important role in modern health care. This thesis presents an approach to usability evaluation of mobile information and communications technologies designed for diabetes patients&rsquo
use in their daily lives. According to our study conducted on 60 diabetes patients, several important findings were obtained. Fifty nine (98.3%) diabetes patients were highly satisfied with the mobile health technology and expressed that they would use it, and found the measured values reliable. For 57 (95%) diabetes patients
measuring, checking and accessing the blood glucose level easily anytime and anywhere were very important. Fifty six (93.3%) said that they would wish to send their blood glucose levels to their physicians via e-mail. When participants were asked to provide a decision on future health care, predominate number of participants said they would change their lifestyle rather than visit a doctor regardless of their blood glucose level. In conclusion, little is known about such effects of mobile information and communications technologies in self-management care situations. It is clear that usability studies in the field are more difficult to conduct than laboratory evaluations. Further studies with larger sample sizes are needed to further evaluate these initial findings.
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Kamathi, Anand. "B-Activ - Health care Android framework." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10142978.

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The healthcare application domain has potential for research in the computer science field and Android domain. The built-in sensors and interfaces for virtual reality plugged in to the Android platform makes it a viable option for developers and end users. The B-Activ Android application builds a platform, which unlike other healthcare applications, ensures that the user is provided with essential input to indulge in an active life. External factors such as climate, pollution levels in the vicinity, and the user’s Body Mass Index (BMI) affect a person’s involvement in exercise and are central to the B-Activ application. B-Activ allows users to interact through traffic and pollution updates with people in the same city. The scope of B-Activ is to ensure that the user is active enough through simple exercises in order to control the cholesterol level and obesity thereby reducing the chances of deadly diseases.

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Brownbridge, Garry. "Doctor-patient communication and the consulting room use of computers in general practice." Thesis, University of Sheffield, 1988. http://etheses.whiterose.ac.uk/3532/.

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This thesis examines the effects of general practitioners' use of a computer during consultations, on doctor-patlent communication and the delivery of care. The IBM Sheffield Primary Care System was used by GPs during routine consultations for the review and update of patients' records. The system also provided an interactive protocol for the management of patients with chronic hypertension. Video recordings were made of over 800 consultations with and without use of the computer. These were used to identify a comprehensive and reliable set of measures of doctor-patient communication. With medical collaboration measures of the standard of delivery of care were also developed. The measures were then used to investigate the effects of computer use. When used for the review and update of records the computer had little effect on doctor-patient communication. Doctors showed more solidarity with patients (e. g. by offering supportive comments), but there was no effect on the amount of information and advice offered or questions asked by either doctor or patient. However, overall, there was a slight impairment of the doctor's interpersonal manner and delivery of care. When the computer was used in direct support of clinical decision-making (i. e. through the hypertension management protocol) there was a marked improvement in the doctors’ clinical performance in terms of the number of relevant verbal and physical examinations conducted and recorded. The findings suggest ways in which future systems should be designed and used to avoid possible adverse consequences for doctor-patient communications. A research framework, including new methodologies, is also offered for the evaluation of future consulting room systems. Similar evaluative studies need to be performed on the more sophisticated systems now available, especially the clinically oriented ones which offer most potential.
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Ling, Meng-Chun. "Senior health care system." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2785.

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Senior Health Care System (SHCS) is created for users to enter participants' conditions and store information in a central database. When users are ready for quarterly assessments the system generates a simple summary that can be reviewed, modified, and saved as part of the summary assessments, which are required by Federal and California law.
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Toth-Pal, Eva. "Computer decision support systems for opportunistic health screening and for chronic heart failure management in primary health care /." Stockholm, 2007. http://diss.kib.ki.se/2007/978-91-7357-435-8/.

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Bayham-Hicks, Shirley Louise. "Continuity of care for migrant farm workers utilizing computer disks." Thesis, The University of Arizona, 2000. http://hdl.handle.net/10150/278747.

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Not much has changed for the migrant farmworker in the last thirty years. In one of the wealthiest countries on earth, migrant farmworker health status remains comparable to that found in Third World countries because of poor sanitation, poor nutrition and exposure. Current estimates show that migrant clinics are serving less than 20% of this population, leaving about 2,000,000 farmworkers without medical care. The barriers to health care for this population are numerous. This study will focus on the barrier to care resulting from lack of continuity in care due to poor inter-clinic communication. In this study it has been shown that computer disks and a standard word-processing program can be used to create a portable medical health history for the migrant to improve inter-clinic communication. In the process of carrying out this study, it was also shown how other barriers to care for this vulnerable population might be removed as well.
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Books on the topic "Computers and health care"

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Dawson, John. Computers in health care. Tunbridge Wells: Abacus, 1986.

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English, Peter. An introduction to computers in primary health care. [Cardiff]: Teamcare Valleys, 1993.

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S, DiSalvio Philip, ed. Managing computers in health care: A guide for professionals. 2nd ed. Ann Arbor, Mich: Health Administration Press, 1989.

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S, DiSalvio Philip, ed. Managing computers in health care: A guide for professionals. 3rd ed. Ann Arbor, Mich: Health Administration Press, 1995.

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Service excellence in health care through the use of computers. Ann Arbor, Mich: Health Administration Press, 1990.

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M, De Ferranti David, ed. The cost disease: Why computers get cheaper and health care doesn't. New Haven, Conn: Yale University Press, 2012.

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Managing health care information resources. Rockville, Md: Aspen Publishers, 1987.

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Anderson, Sandra K. Computer literacy for health care professionals. Albany, N.Y: Delmar Publishers, 1992.

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Sobolev, Boris, Victor Sanchez, and Lisa Kuramoto. Health Care Evaluation Using Computer Simulation. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2233-4.

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H, Craven Nancy, McAlister Neil Harding 1952-, and Covvey H. Dominic, eds. Concepts and issues in health care computing. St. Louis: Mosby, 1985.

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Book chapters on the topic "Computers and health care"

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Blum, Bruce I. "Computers and Health Care." In Clinical Information Systems, 33–68. New York, NY: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-8593-6_2.

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Blum, Bruce I. "Computers and Health Care." In Clinical Information Systems, 33–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-26537-6_2.

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Dev, Parvati, and Titus K. L. Schleyer. "Computers in Health Care Education." In Biomedical Informatics, 675–93. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4474-8_23.

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Singh, A. K., Khalid Moidu, B. S. Rathore, Erik Trell, and Ove Wigertz. "Computers in Primary Health Care." In Medical Informatics Europe 1991, 727–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-93503-9_130.

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Blum, B. I., and H. F. Orthner. "Implementing Health Care Information Systems." In Computers and Medicine, 3–21. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3488-3_1.

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Burnard, Philip. "Tips and traps in using computers for research." In Health Care Computing, 173–97. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-3234-1_11.

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Moini, Jahangir, and Morvarid Moini. "Computers and technology in health care." In Fundamentals of U.S. Health Care, 358–76. Abingdon, Oxon; New York, NY: Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315620374-15.

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Sinclair, Vaughn G. "The Computer as Partner in Health Care Instruction." In Nursing and Computers, 391–98. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3622-1_40.

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Skiba, Diane J., and D. T. Mirque. "The Electronic Community: An Alternative Health Care Approach." In Nursing and Computers, 76–83. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-2182-1_11.

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Sermeus, Walter. "Comparing Information on Medical Condition and Nursing Care for the Management of Health Care." In Nursing and Computers, 386–93. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-2182-1_49.

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Conference papers on the topic "Computers and health care"

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Masero, Valentin. "Computer applications in health care." In the 2003 ACM symposium. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/952532.952577.

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Holzinger, Andreas, Harold Thimbleby, and Russell Beale. "Workshop HCI for Medicine and Health Care (HCI4MED)." In People and Computers XXII Culture, Creativity, Interaction. BCS Learning & Development, 2008. http://dx.doi.org/10.14236/ewic/hci2008.71.

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Moreira, Diego A. B., Levy G. Chaves, Bruno A. Lima, Kilvia L. A. Almeida, Thelmo P. de Araujo, Rafael L. Gomes, Joaquim Celestino, and Augusto J. V. Neto. "Electrocardiogram Fiducial Points Detection for Health Care Systems." In 2018 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2018. http://dx.doi.org/10.1109/iscc.2018.8538710.

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Zysman, Shafer H., and Gunther R. Geiss. "Mental hygiene practitioners' attitudes toward applying computers in health care." In the conference. New York, New York, USA: ACM Press, 1990. http://dx.doi.org/10.1145/97344.97366.

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Gosbee, John W. "Computer-human interaction and health care." In CHI '99 extended abstracts. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/632716.632792.

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Jamar, Pamela, John Mattison, Matthew J. Orland, Jo Carol Gordon Hiatt, John Karat, and Janette Coble. "Human-computer interaction in health care." In CHI98: ACM Conference on Human Factors and Computing Systems. New York, NY, USA: ACM, 1998. http://dx.doi.org/10.1145/286498.286539.

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Nasir, Jamal Abdul, and Chuangyin Dang. "Identifying quantitative thresholds for the home health care problem." In 2016 IEEE Symposium on Computers and Communication (ISCC). IEEE, 2016. http://dx.doi.org/10.1109/iscc.2016.7543743.

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Harris, M., and J. Habetha. "The MyHeart project: A framework for personal health care applications." In 2007 34th Annual Computers in Cardiology Conference. IEEE, 2007. http://dx.doi.org/10.1109/cic.2007.4745440.

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Brantmayer, M. "10. An Evaluation of Computer Anxiety Related to Computer Aided Instruction in Health and Safety Training." In AIHce 1996 - Health Care Industries Papers. AIHA, 1999. http://dx.doi.org/10.3320/1.2764769.

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Taddei, A., S. Dalmiani, A. Vellani, E. Rocca, G. Piccini, T. Carducci, A. Gori, et al. "Data integration in cardiac surgery health care institution: Experience at G. Pasquinucci Heart Hospital." In 2008 35th Annual Computers in Cardiology Conference. IEEE, 2008. http://dx.doi.org/10.1109/cic.2008.4749034.

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Reports on the topic "Computers and health care"

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Sarthou, Wilfredo A. Computer Simulation of Podiatry Clinic at Charette Health Care Center. Fort Belvoir, VA: Defense Technical Information Center, April 1998. http://dx.doi.org/10.21236/ada372366.

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Allen, Roosevelt, Michael Black, William Bray, Douglas W. Butt, Bradley Calhoun, Sylvia Curran, Roger Garay, Sally Kelly, Jeffrey C. Lieb, and Kimberly Litherland. Health Care Industry. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada475112.

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Brady, Martha, and Beverly Winikoff. Rethinking postpartum health care. Population Council, 1993. http://dx.doi.org/10.31899/rh1.1019.

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Fogel, Robert, and Chulhee Lee. Who Gets Health Care? Cambridge, MA: National Bureau of Economic Research, July 2003. http://dx.doi.org/10.3386/w9870.

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Brown, Dale, William Knowlton, Irene Kyriakopoulos, and Mark McGuire. Health Care Industry Study. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada425482.

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Matteson, Gary N. Health Care Legislation and the Implied U.S. Health Care Policy Through 1992. Fort Belvoir, VA: Defense Technical Information Center, June 1996. http://dx.doi.org/10.21236/ada311357.

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Brownlee, Shannon, Vikas Saini, and Judith Garber. California’s health care paradox: Too much health care spending may lead to poor community health. Lown Institute, July 2019. http://dx.doi.org/10.46241/li.tkrn9871.

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Baker, Laurence, and Martin Brown. The Effect of Managed Care on Health Care Providers. Cambridge, MA: National Bureau of Economic Research, April 1997. http://dx.doi.org/10.3386/w5987.

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Baker, Laurence, and Sharmila Shankarkumar. Managed Care and Health Care Expenditures: Evidence From Medicare. Cambridge, MA: National Bureau of Economic Research, September 1997. http://dx.doi.org/10.3386/w6187.

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Baker, Timothy. Oregon Primary Care Physicians' Support for Health Care Reform. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6635.

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