Academic literature on the topic 'Prescription process'

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Journal articles on the topic "Prescription process"

1

Goud, Anil, Elizabeth Kiefer, Michelle S. Keller, Lyna Truong, Spencer SooHoo, and Richard V. Riggs. "Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report." JAMIA Open 2, no. 3 (2019): 296–300. http://dx.doi.org/10.1093/jamiaopen/ooz018.

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Abstract To demonstrate a process of calculating the maximum potential morphine milligram equivalent daily dose (MEDD) based on the prescription Sig for use in quality improvement initiatives. To calculate an opioid prescription’s maximum potential Sig-MEDD, we developed SQL code to determine a prescription’s maximum units/day using discrete field data and text-parsing in the prescription instructions. We validated the derived units/day calculation using 3000 Sigs, then compared the Sig-MEDD calculation against the Epic-MEDD calculator. Of the 101 782 outpatient opioid prescriptions ordered ov
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Zerillo, Jessica A., Erin Santacroce, Mary Ann Zimmerman, et al. "Building a new process: Nursing verification of pediatric oral chemotherapy." Journal of Clinical Oncology 34, no. 7_suppl (2016): 199. http://dx.doi.org/10.1200/jco.2016.34.7_suppl.199.

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199 Background: While team-based safety checks ensure safe prescribing of parenteral chemotherapy, oral chemotherapy is usually prescribed by a single clinician. With the growing use of oral chemotherapy, processes are needed to protect these vulnerable patients from prescription errors. Methods: A team of nurses, clinicians, pharmacists and administrators developed a new process and checklist for nursing verification of oral chemotherapy prescriptions at Dana-Farber’s pediatric neuro-oncology program. Prescriptions are verified against the treatment plan by two pediatric oncology nurses. The
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3

Bevan, Amanda, and Niesh Patel. "AN ELECTRONIC PRESCRIPTION ALERTING SYSTEM-IMPROVING THE DISCHARGE MEDICINES PROCESS." Archives of Disease in Childhood 101, no. 9 (2016): e2.55-e2. http://dx.doi.org/10.1136/archdischild-2016-311535.59.

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BackgroundWhilst the prescribing of both in-patient and discharge medicines is electronic, there was no automatic notification to clinical pharmacists when a discharge prescription was ready to be screened. The notification required a member of medical or nursing staff to bleep their pharmacist informing them of a prescription's availability. This manual process led to a delay in pharmacist screening which impacted on discharge. Prescriptions designated for pre-packed or patient's own medicine use were not seen at all by a clinical pharmacist. The initial intention was to develop a text messag
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Sachedina, Ayaaz Kazmir, Sonia Mota, Julie Lorenzin, et al. "Effect of a formalised discharge process which includes electronic delivery of prescriptions to pharmacies on the incidence of delayed prescription retrieval." BMJ Open Quality 9, no. 2 (2020): e000849. http://dx.doi.org/10.1136/bmjoq-2019-000849.

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BackgroundLack of prescription adherence after discharge from the inpatient hospital setting is a barrier to the delivery of optimal patient care. Non-adherence to medication for cardiac diseases can lead to substantial morbidity, mortality and healthcare costs. Electronic delivery of prescriptions by fax is a potential method of improving patient satisfaction and reducing pharmacy wait times.MethodsThis study was completed in the cardiology inpatient wards at a hospital in London, Ontario, Canada. ‘Delayed prescription retrieval’ was defined as the retrieval of a prescribed medication by a pa
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Santoyo-Fexas, L., R. A. Uriarte Botello, B. R. Vázquez Fuentes, et al. "AB1292-HPR NUMBER OF DRUGS IN THE PRESCRIPTION, A PREDISPOSING FACTOR FOR MEDICATION ERRORS IN RHEUMATOLOGY." Annals of the Rheumatic Diseases 79, Suppl 1 (2020): 1936. http://dx.doi.org/10.1136/annrheumdis-2020-eular.2940.

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Background:Medication error can be defined as a failure in the treatment process that leads to or has the potential to lead to harm to the patient, this fault can happen in two different phases: prescribing and prescription.Prescribing is the process of deciding what to prescribe and naming it. Various types of faults can occur in the decision-making process: underprescribing, overprescribing, irrational, inappropriate and ineffective prescribing. All these covers one type of errors, but these are different kind of errors that those that occur in the act of writing a prescription. This leads t
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Al Badi, Khalid. "Discrete event simulation and pharmacy process re-engineering." International Journal of Health Care Quality Assurance 32, no. 2 (2019): 398–411. http://dx.doi.org/10.1108/ijhcqa-05-2018-0105.

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Purpose The purpose of this paper is to describe a case study undertaken at Al Buraimi Hospital in Oman, which used computer simulation and the Delphi approach to improve efficiency by reducing prescription dispensing waiting times. Design/methodology/approach This study’s framework was based on a discrete event simulation (DES) to identify the as-is pharmacy process and to create a to-be (future situation) to achieve an improvement in pharmacy workflow and service quality. Owing to healthcare environment complexity, and to gain a deeper understanding about Al Buraimi Hospital pharmacy problem
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7

Sinanis, Naralys, Osama Abdelghany, Michael Strait, Catherine A. Lyons, and Kerin B. Adelson. "Development of a complex patient identification process for the CMS’ Oncology Care Model." Journal of Clinical Oncology 35, no. 8_suppl (2017): 32. http://dx.doi.org/10.1200/jco.2017.35.8_suppl.32.

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32 Background: The CMS’ Oncology Care Model (OCM) provides practices with enhanced monthly payments for beneficiaries with cancer receiving chemotherapy. While the program will distribute a retrospective beneficiary list, practices need to track and identify eligible patients upfront to initiate care management and financial counseling processes and to bill for the enhanced payment. The eligibility criteria require information that many practices do not have. We describe a stepwise approach to patient identification that can be used by other OCM practices. Methods: We ran a report that identif
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Middleton, Peter, and Barry McCollum. "Management of process improvement by prescription." Journal of Systems and Software 57, no. 1 (2001): 9–19. http://dx.doi.org/10.1016/s0164-1212(00)00113-8.

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9

Chmielewski, Eric, and Joseph L. Cesarz. "A framework to increase prescription capture from health-system clinics." American Journal of Health-System Pharmacy 77, no. 8 (2020): 658–62. http://dx.doi.org/10.1093/ajhp/zxaa023.

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Abstract Purpose To develop and implement an interprofessional framework to increase the capture of health system–generated prescriptions within health system–owned pharmacies. Summary Low prescription capture rates within a health system’s internal pharmacies led to an interdisciplinary process improvement effort. A framework was developed to assess the baseline prescription capture rate, select clinics for improvement, understand clinic workflows and key drivers of pharmacy selection, design strategies to increase prescription capture, implement targeted efforts, and measure the effectivenes
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10

Breaud, Alan H., Audrea H. Szabatura, Laura Cedro, et al. "Impact of early release of oral investigational prescriptions on safety and efficiency at a comprehensive cancer center." Journal of Clinical Oncology 37, no. 27_suppl (2019): 257. http://dx.doi.org/10.1200/jco.2019.37.27_suppl.257.

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257 Background: At Dana-Farber Cancer Institute (DFCI), timing of order release to the pharmacy is a contributing factor to safety and processing concerns for oral investigational medications. Day-of release can lead to delayed delivery to the patient, creating a risk of missing timed specific protocol data collection, and rushed critical pharmacy safety checks, an issue raised in a comprehensive proactive systems safety risk assessment. We conducted a pilot project aimed at improving the safety and efficiency of oral investigational medication processing within the pharmacy by releasing presc
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