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Relevant bibliographies by topics / Hospital pharmacy automation

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Journal articles
Dissertations / Theses
Conference papers

Academic literature on the topic 'Hospital pharmacy automation'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Hospital pharmacy automation"

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Olubunmi Afolabi, M., and T. Oyedepo Oyebisi. "Pharmacists' Perceptions of Barriers to Automation in Selected Hospital Pharmacies in Nigeria." Journal of Pharmacy Practice 20, no. 1 (February 2007): 64–71. http://dx.doi.org/10.1177/0897190007302894.

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The study examined pharmacists' perceptions of possible barriers to the introduction of automated techniques in hospital pharmacy systems. The research method was a questionnaire survey of a random sample of practicing pharmacists in 3 teaching hospitals in Southwestern Nigeria. A total of 53 questionnaires were returned, for a response rate of 65%. Results of the study showed that pharmacists had inherent fears about the feasibility of automation in hospital pharmacy practice, though they recognized the potential benefits and they were generally supportive of introducing some forms of automation into the work systems. Most of the respondents were proficient in computing and basic concepts of pharmacy automation, but pharmacists with a low level of computer literacy rated higher in their perceptions of potential barriers to pharmacy automation. The attitudinal disposition presented a significant potential barrier to the technology, particularly among the grades of staff that probably viewed the innovation as a threat to their continued employment. The variables of gender, status, and type of hospital unit were not significant factors in the pharmacists' perceptions. Suggestions for successful implementation of the technological change are provided for pharmacy directors and hospital administrators, especially in respect to improved management commitment and structural facilities.

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Novek, Joel. "Clinical or Industrial Pharmacy? Case Studies of Hospital Pharmacy Automation in Canada and France." International Journal of Health Services 28, no. 3 (July 1998): 445–65. http://dx.doi.org/10.2190/w2bt-fgxq-ql0g-ynl9.

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Automated medication dispensing systems for hospital pharmacies, heralded as an important means of reducing drug errors and improving labor productivity, have also been seen as a means of furthering the transformation of the pharmacy profession from its role in dispensing prescriptions to a clinical profession concerned with treatments and patient outcomes. Automation aids this transformation by transferring the responsibility for routine dispensing to technicians performing rationalized and computer-mediated tasks. Not all pharmacists agree with these trends. Some fear a loss of professional status and employment as their knowledge is expropriated and incorporated into machinery operated by those with lesser qualifications. They fear an industrial rather than a clinical future. Their concerns are compounded by health care cutbacks. These issues were studied at two hospitals in Canada and one in France, all mid-sized public hospitals with automated unit dose drug delivery systems installed in the late 1980s and early 1990s. Preliminary results indicated national differences in approaches to hospital pharmacy automation. In Canada, pharmacists have resisted major changes in their control of the dispensing process and in their traditional roles vis à vis doctors and pharmacy technicians. In France, where hospital pharmacy as a profession is less developed than in North America, automation has brought about a far more radical substitution for pharmacists' labor.

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Sanborn, Michael D., and Janelle L. Krueger. "Survey of automation in hospital pharmacy practice." American Journal of Health-System Pharmacy 52, no. 1 (January 1, 1995): 97–98. http://dx.doi.org/10.1093/ajhp/52.1.97.

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Cada, Dennis J. "Announcing an Expanded Feature in Hospital Pharmacy: Pharmacy Automation and Technology." Hospital Pharmacy 43, no. 10 (October 2008): 786. http://dx.doi.org/10.1310/hpj4310-786.

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Novek, Joel. "Hospital pharmacy automation: collective mobility or collective control?" Social Science & Medicine 51, no. 4 (August 2000): 491–503. http://dx.doi.org/10.1016/s0277-9536(99)00488-8.

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Siska, Mark. "Technology and Automation in Hospital Pharmacies: Current and Future States." Hospital Pharmacy 48, Supplement 2 (March 2013): S6—S9. http://dx.doi.org/10.1310/hpj4803-s6.

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Gibler, Brian, Grace Hayes, Fred Raleigh, Barbara Levenson, Sheryl Heber, and Ann Tham. "Forensic Psychiatric Pharmacy Practice at Atascadero State Hospital." Journal of Pharmacy Practice 9, no. 4 (August 1996): 222–28. http://dx.doi.org/10.1177/089719009600900403.

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Atascadero State Hospital (ASH) is the nation's largest maximum security forensic psychiatric hospital. Most patients are committed under penal codes as psychiatrically unstable prisoners, mentally disordered parolees, individuals found not guilty by reason of insanity, or individuals deemed incompetent to stand trial. Pharmacists' involvement in patient care and supportive activities at ASH are varied. Direct patient care activities include attendance at interdisciplinary treatment teams, medication consultation upon request of physicians or other staff, and follow-up on adverse drug reactions. Pharmacists may also be involved in discharge planning, especially for patients on clozapine treatment. Patient medication education is provided by pharmacists through medication management classes and discharge counseling. Indirect patient care activities include verification of data entry for automation of physician orders and drug regimen review (DRR) audits. Drug Use Evaluations (DUEs) and the Annual Survey allow tracking and improvement of prescribing patterns. Committees and Continuous Quality Improvement (CQI) activities throughout the hospital often include pharmacist members. Teaching is another important function of the pharmacist. Pharmacology classes are given to psychiatric technician students. Drug-induced movement disorder classes are provided to new employees. Additionally, pharmacy students on clinical clerkship rotations are trained and assist in providing clinical services. Capable technicians play a key role in allowing greater emphasis of time on clinical and administrative pharmacist functions. ASH provides the somewhat unique combination of clinically-oriented pharmacist positions in a rural community.

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Zhou, Fuli, Xu Wang, and Mark Goh. "Fuzzy extended VIKOR-based mobile robot selection model for hospital pharmacy." International Journal of Advanced Robotic Systems 15, no. 4 (July 1, 2018): 172988141878731. http://dx.doi.org/10.1177/1729881418787315.

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To stimulate the development of the Internet of Health Things and the construction of a robotic automation system in the healthcare industry, the mobile robot selection problem for a hospital pharmacy is studied. We target the mobile robot selection as a multi-criteria decision-making problem. The VIKOR-based implementation steps integrating fuzzy extended analytic hierarchy process technique are developed. To avoid any loss of information and ensure the veracity of the VIKOR-based calculations, we employ the fuzzy ranking technique based on the degree of possibility to select the best mobile robot alternative by deriving the minimum fuzzy comprehensive utility value. The results of a case study and the accompanying sensitivity analysis show the effectiveness and robustness of the fuzzy extended VIKOR approach for the mobile robot selection problem.

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James, K. Lynette, Dave Barlow, Anne Bithell, Sarah Hiom, Sue Lord, Mike Pollard, Dave Roberts, Cheryl Way, and Cate Whittlesea. "The impact of automation on workload and dispensing errors in a hospital pharmacy." International Journal of Pharmacy Practice 21, no. 2 (September 11, 2012): 92–104. http://dx.doi.org/10.1111/j.2042-7174.2012.00238.x.

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Crowson, Karren, and Mary Monk-Tutor. "Use of Automated Controlled Substance Cabinets for Detection of Diversion in US Hospitals: A National Study." Hospital Pharmacy 40, no. 11 (November 2005): 977–83. http://dx.doi.org/10.1177/001857870504001107.

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Purpose Use of automated controlled substance cabinets (ACSCs) for storage and distribution of narcotics can provide documentation necessary to identify and detect drug diversion. This study investigated how ACSCs are used for narcotic control in US hospitals (including a comparison of detection rates pre- and post-automations) and looked at the difference between hospitals that used ACSCs vs those that did not; it also identified hospital policies related to drug diversion. Methods A survey mailed to a national sample of 311 hospitals achieved a 22% usable response rate. Data were entered into an Excel database and analyzed using descriptive statistics; diversion detection rates were calculated per 100 beds. Detection rates were defined as the average number of employees per year that were detected diverting controlled substances over the 3-year period (both pre- and post-ACSC installation); detection rates for those still using manual systems were defined in the same way but only for the 3-year period just prior to the study. Calculation of diversion detection rates were based on respondent estimates of such occurrences. Results Over 80% of the respondents indicated that their institution used an ACSC, and 62% provided the necessary information to calculate a diversion detection of 0.36 per 100 beds pre-automation and 1.12 per 100 beds post-automation (P < 0.001). Out of the 19% of the institutions not using ACSCs, 60% provided the necessary information to calculate a diversion detection rate that was determined to be 0.76 per 100 beds. All respondents reported having policies and procedures related to the diversion of controlled substances; however, they varied significantly regarding drug screening practices and specific conditions for the rehire of staff that were detected diverting drugs. Conclusions When used properly, with effective checks and balances, ACSCs have the capability to improve detection of narcotic diversion; and thus, may help to decrease diversion of controlled substances by health care professionals.

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Dissertations / Theses on the topic "Hospital pharmacy automation"

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Pielou, L. W. "The introduction of computers into hospital pharmacy practice in Northern Ireland." Thesis, Queen's University Belfast, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374231.

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Momtahan, Kathryn L. "Introducing new technology into hospitals, a case study of pharmacy automation during hospital restructuring." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ26858.pdf.

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Momtahan, Kathryn L. (Kathryn Lynne) Carleton University Dissertation Psychology. "Introducing new technology into hospitals; a case study of pharmacy automation during hospital restructuring." Ottawa, 1997.

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James, Kathryn Lynette. "Dispensing errors in hospital pharmacy: incidence, causes and impact of automation." Thesis, King's College London (University of London), 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566220.

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Dispensing medication is inherently risky and errors are inevitable occurrences. Pharmacists are encouraged to monitor dispensing errors so that risk reduction strategies can be implemented. Automated dispensing systems (ADS) are advocated as a key error reduction strategy. However, little research has investigated the incidence, type and causes of dispensing errors in hospitals with ADS and manual dispensing systems. Analysis of dispensing error data, self-reported by hospitals using standardised definitions and a validated methodology, was undertaken. Prevented dispensing incidents (detected during dispensing) occurred more frequently than unprevented dispensing incidents (detected after issue of medication). However, automation had no significant effect on the unprevented dispensing incident rate. The most common dispensing error types reported were supply of the wrong drug, strength, form and printing the wrong directions/warnings on the label. The critical incident technique, employing self-reported incident forms, was used to investigate the causes of specific prevented dispensing incidents occurring at hospital pharmacies. These incidents were attributed to active failures (interchanging different formulations, computer and stock selection errors), error-producing conditions (high workload, complex prescriptions and interruptions) and latent conditions (inadequate staffing/skill mix, unclear drug computer selection lists and drug storage on dispensary shelves). Socio-technical theory was used to investigate the effect of dispensary workload and occupational stressors on prevented dispensing incidents in hospitals utilising ADS and manual dispensing. A strong positive relationship was identified between dispensary workload and prevented dispensing incidents. Workforce planning models were developed enabling determination of staffing levels required to maintain a safe permissible workload. Automation was associated with a higher workload, lower prevented dispensing incident rate and less job stress and overload. However, automation reduced staff autonomy, organisational commitment and job satisfaction. Improved workforce planning, staff training and design of pharmacy computer software are needed to reduce dispensing errors. Automation improves dispensing efficiency and safety. However, care must be taken to avoid an imbalance between technology and employee needs.

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FENG-HSIEN, CHANG, and 張豐顯. "Evaluating the Impact of Applying the Barcode Automation Checking System in Regional Hospital Pharmacy." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/73178979014782662687.

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碩士
玄奘大學
企業管理學系碩士在職專班
104
In an attempt to alleviate the workload of pharmaceutical staffs and to improve the efficiency of hospital pharmacies, the Ministry of Health and Welfare appointed Taiwan Pharmacist Association in 2009 to integrate QR Code into the prescriptions issued by hospitals, allowing pharmacies to create prescription contents such as medicine and care orders simply by reading QR Code. Thus, pharmacists can dispense medicine and medication instructions accurately and swiftly. After barcode automation checking system was implemented in regional hospitals’ outpatient pharmacies, the author observed an outpatient pharmacy with emphasis on the changes of pharmacists’ efficiency. After that, the author analyzed the changes of pharmacists’ efficiency and presented his findings to the competent authority for reference. In this study, direct time study intensive sampling and questionnaires were employed to assess regional hospitals’ outpatient pharmacies with emphasis on the changes of pharmacists’ efficiency as well as the influence on pharmacists’ services after “barcode automation checking system” was implemented. The author selected Taipei Hospital, located in Xinzhuang District of New Taipei City, as his research subject and interviewed the pharmacists of outpatient pharmacy as well as the staffs of information department, attempting to gather the data needed for this study. The author analyzed the outpatient pharmacy’s time-study records and data, concluding the pharmacists had maintained a high level of efficiency in the dispensing procedure after “barcode automation checking system” was implemented, in particular the number of medicine pockets required by the prescriptions as well as the modification of dose. Most importantly, the accuracy and safety of medication had been improved effectively. Now, the pharmacists of outpatient pharmacy unanimously agree that “barcode automation checking system” has improved the efficiency and accuracy of dispensing procedure and upgraded people’s satisfaction with outpatient pharmacy.

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Naville, Chad A. "Increased Efficiency: Formulary Drug Conversion Automation Using Visual Basic-Based Macros with Attachmate Reflections in the Pharmacy Setting." Thesis, 2013. http://hdl.handle.net/1805/5507.

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Indiana University-Purdue University Indianapolis (IUPUI)
Health care automation provides opportunities for health care agencies to save time, save money, and increase patient safety. The Department of Veterans Affairs medical centers use a program, Attachmate Reflections, for pharmacy medication order verification. This program is a command line interface that allows the use of macros, or programmed automated routines, that have the ability to automate repetitive tasks. Through the use of macro programming at the VISN 11 VA medical centers, this author was able to automate converting patients from Combivent MDI inhalers to its successor Combivent Respimat inhalers due to the MDI inhaler being withdrawn from the market. Usage of the macro resulted in a time savings of 649.1 hours, cost savings of $32,748.36, and increased patient safety by providing consistent medication instructions, correct dispense quantities, correct prescription day supply, and correct number of refills remaining on the prescription.

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LIU, HSIU-YU, and 劉琇玉. "The Study on The Effects of Enlarge-scale Automatic Prescription Filling Machines in Hospital And Community Drugstore Pharmacy Services." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/29442017240796746344.

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碩士
嘉南藥理大學
藥學系
104
This study investigated the hospital pharmacy and community pharmacy clinics import enlarge-scale automated prescription filling, the impact pharmacy services, as the Government to fully implement separation of prescribing and dispensing, part prescription orders huge amount of community pharmacy, so busy no leisure time other pharmaceutical services, with the introduction of enlarge-scale automated prescription filling, dispensing pharmacists to strengthen the operating speed and reduce the workload of pharmacists to provide the upcoming purchase of the machine unit has reference. After interviews with experts in the hospital pharmacy department the reasons to buy the enlarge-scale automatic prescription filling machines are 1. the dispensing speed of machine of T is faster than J. 2. The occupying ratio of T’s machine is higher than the J machine in Taiwan but lower in the world. 3. The preparatory containers of T machine don’t have auto checking function so the wrong dispensing cannot be found when using the preparatory container. 4. The J machine can replace any container so that the auto check function is remained when the prescriptions combining happen. 5. The price of T’s machine is expansive than the J’s machine. After investigation by questionnaires the statistical results are 1. The incorrect prescriptions are reducing. 2. The dispensing time is decreased. 3. The consulting time of patients or doctors and prescription judging time are increasing.

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Conference papers on the topic "Hospital pharmacy automation"

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Lopez Ramirez, A. J., I. Jurado, M. I. Fernandez Garcia, Beatriz Isla Tejera, J. R. Del Prado Llergo, and J. M. Maestre Torreblanca. "Optimization of the demand estimation in hospital pharmacy." In 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE, 2014. http://dx.doi.org/10.1109/etfa.2014.7005057.

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Cardoso, C., and J. F. Suva. "Study of hospital pharmacy automation process in a hospital of federal district, Brazil." In 2013 Pan American Health Care Exchanges (PAHCE). IEEE, 2013. http://dx.doi.org/10.1109/pahce.2013.6568305.

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Blanco-Dorado, S., L. García-Quintanilla, JM Giraldez-Montero, M. Gonzalez-Barcia, A. Fernandez-Ferreiro, and MJ Lamas. "3PC-004 Automation of parenteral nutrition elaboration in a hospital pharmacy service." In Abstract Book, 23rd EAHP Congress, 21st–23rd March 2018, Gothenburg, Sweden. British Medical Journal Publishing Group, 2018. http://dx.doi.org/10.1136/ejhpharm-2018-eahpconf.56.

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Franco, Carlos, Vincent Augusto, Thierry Garaix, Edgar Alfonso-Lizarazo, Magali Bourdelin, and Herve Bontemps. "Strategic territorial deployment of hospital pharmacy robots using a stochastic p-robust optimization approach." In 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE). IEEE, 2018. http://dx.doi.org/10.1109/coase.2018.8560374.

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Prado-Mel, E., H. Rodríguez-Ramallo, and C. Gonzalez-Florencio. "5PSQ-220 Discrepancies between prescription and dispensing of medication in automatic dispensing cabinet." In 25th Anniversary EAHP Congress, Hospital Pharmacy 5.0 – the future of patient care, 23–28 March 2021. British Medical Journal Publishing Group, 2021. http://dx.doi.org/10.1136/ejhpharm-2021-eahpconf.339.

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