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Record W2162555939 · doi:10.4212/cjhp.v64i3.1018

Free the Pharmacist!

2011· article· en· W2162555939 on OpenAlexvenueaboutno aff
Glen Brown

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2011
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPharmacistComputer scienceMedicineFamily medicinePharmacy

Abstract

fetched live from OpenAlex

The complexity and diversity of drug therapy for medical conditions continue to expand, resulting in a need for increased sophistication on the part of all care providers. If pharmacists are to be relevant in contemporary practice, they must possess the knowledge and skills to identify and resolve a great variety of drug-related problems. The requirement for pharmacists to have a range of knowledge and skills has resulted in changes to the curricula of pharmacy schools and has also led to the establishment of training programs and formal roles for advanced practitioners. However, such efforts will be unsuccessful in maximizing the benefit of pharmacists in patient care if these health care providers are encumbered with tasks and roles that do not require their specific skills. As individual professionals, and collectively as pharmacy departments striving to maximize pharmacists’ input, we need to identify and eliminate activities and tasks not requiring our skills. In other words, it is time to “free the pharmacist” from inappropriate roles and responsibilities. In practical terms, this means that we must either stop performing specific functions or find someone or something else to do them. Although it would be most efficient to stop doing things that have no benefit, I hope that our current practice is already focused on essential activities and that there are few opportunities for this type of liberation. Therefore, we must look for ways to “outsource” our work to others or to machines. An obvious group for assuming a greater role in the noncognitive work of the pharmacist would be pharmacy technicians. In this issue of the CJHP, the Point Counterpoint column presents a discussion about pharmacy technicians having greater roles in the planning and administration of drug distribution systems within institutions. The authors elaborate on some of the benefits of and concerns about this transfer of responsibility. I encourage all readers to review both opinions and consider whether developing this role for technicians would help in freeing them or their colleagues from participation in drug distribution systems. In addition to this potential role that technicians could fulfill to liberate pharmacists for more direct patient care, the CJHP has previously published numerous papers describing other innovative roles for technicians, including working with pharmacists to support direct patient care activities. For example, the authors of a previous Point Counterpoint column discussed the merits of having technicians obtain medication histories and provide discharge counselling. Others have described a role for technicians in medication reconciliation, whereby they obtain best possible medication histories. Collection of the data necessary for optimum drug dosing, with warfarin as the prototype medication, has also been successfully transferred to technicians. Collection of data by a technician on behalf of a pharmacist in a variety of clinical scenarios (e.g., adverse drug reactions, compliance with drug utilization guidelines, duplicate therapies) has been successfully implemented. The development of these roles for technicians has allowed pharmacists to better utilize their time and to focus their attention on patient care activities that require a pharmacist’s expertise and skills. Similarly, the use of technology (predominantly electronic) can reduce the time and effort involved in obtaining the information needed to identify and resolve drug-related problems. Much like prescribers who need specific information to initiate drug therapy, pharmacists need information to evaluate the patient’s clinical problem, determine the desired outcome, compare therapeutic alternatives, determine a monitoring plan, and educate the patient about drug-related problems encountered. Each one of these steps can be timeconsuming if manual searches and extraction of data are required. Imagine the time that would be saved if the pharmacist could simply access the institution’s clinical database to obtain all of the information in the patient’s medical record, including laboratory data, physical monitoring parameters, outpatient drug therapy (best possible medication history), and current therapy. Although the technology to do this exists today, most Canadian institutions cannot afford the costs. Therefore, until this capability is widely available, Canadian pharmacists must explore ways of utilizing electronic devices that could assist in some of these steps. For example, Fox and Felkey have published a series of columns in Hospital Pharmacy describing new electronic devices that facilitate data retrieval for pharmacists.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.211
Threshold uncertainty score0.707

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0070.010
Open science0.0020.006
Research integrity0.0130.015
Insufficient payload (model declined to judge)0.2110.127

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.203
GPT teacher head0.382
Teacher spread0.179 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes2
Has abstractyes

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