Literature DB >> 27283243

Disruptive innovation in community pharmacy - Impact of automation on the pharmacist workforce.

Jean Spinks1, John Jackson2, Carl M Kirkpatrick2, Amanda J Wheeler3.   

Abstract

Pharmacy workforce planning has been relatively static for many decades. However, like all industries, health care is exposed to potentially disruptive technological changes. Automated dispensing systems have been available to pharmacy for over a decade and have been applied to a range of repetitive technical processes which are at risk of error, including record keeping, item selection, labeling and dose packing. To date, most applications of this technology have been at the local level, such as hospital pharmacies or single-site community pharmacies. However, widespread implementation of a more centralized automated dispensing model, such as the 'hub and spoke' model currently being debated in the United Kingdom, could cause a 'technology shock,' delivering industry-wide efficiencies, improving medication accessibility and lowering costs to consumers and funding agencies. Some of pharmacists' historical roles may be made redundant, and new roles may be created, decoupling pharmacists to a certain extent from the dispensing and supply process. It may also create an additional opportunity for pharmacists to be acknowledged and renumerated for professional services that extend beyond the dispensary. Such a change would have significant implications for the organization and funding of community pharmacy services as well as pharmacy workforce planning. This paper discusses the prospect of centralized automated dispensing systems and how this may impact on the pharmacy workforce. It concludes that more work needs to be done in the realm of pharmacy workforce planning to ensure that the introduction of any new technology delivers optimal outcomes to consumers, insurers and the pharmacy workforce.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Automation; Community pharmacy; Workforce

Mesh:

Year:  2016        PMID: 27283243     DOI: 10.1016/j.sapharm.2016.04.009

Source DB:  PubMed          Journal:  Res Social Adm Pharm        ISSN: 1551-7411


  5 in total

1.  Determination of the cross-contamination and validation of the cleaning process for an automated personalised dosing system.

Authors:  Alexander Ferro Uriguen; Idoia Beobide Telleria; Silvia Martínez Arrechea; Blanca Miró Isasi; Carmen Sampedro Yangüela; Mikel Urretavizcaya Anton
Journal:  Eur J Hosp Pharm       Date:  2020-08-18

Review 2.  A Scoping Review of the Quality and the Design of Evaluations of Mobile Health, Telehealth, Smart Pump and Monitoring Technologies Performed in a Pharmacy-Related Setting.

Authors:  Darrin Baines; Imandeep K Gahir; Afthab Hussain; Amir J Khan; Philip Schneider; Syed S Hasan; Zaheer-Ud-Din Babar
Journal:  Front Pharmacol       Date:  2018-07-26       Impact factor: 5.810

3.  Promises of artificial intelligence in neuroradiology: a systematic technographic review.

Authors:  Allard W Olthof; Peter M A van Ooijen; Mohammad H Rezazade Mehrizi
Journal:  Neuroradiology       Date:  2020-04-22       Impact factor: 2.804

4.  Analyzing implementation dynamics using theory-driven evaluation principles: lessons learnt from a South African centralized chronic dispensing model.

Authors:  Bvudzai Priscilla Magadzire; Bruno Marchal; Tania Mathys; Richard O Laing; Kim Ward
Journal:  BMC Health Serv Res       Date:  2017-12-04       Impact factor: 2.655

Review 5.  Identifying Opportunities for Workflow Automation in Health Care: Lessons Learned from Other Industries.

Authors:  Teresa Zayas-Cabán; Saira Naim Haque; Nicole Kemper
Journal:  Appl Clin Inform       Date:  2021-07-28       Impact factor: 2.342

  5 in total

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