ArticleJMIR human factors2022
The Introduction of Robotics to an Outpatient Dispensing and Medication Management Process in Saudi Arabia: Retrospective Review of a Pharmacy-led Multidisciplinary Six Sigma Performance Improvement Project.
Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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13 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Digital Technologies in Hospital Pharmacy: A Systematic Review of Their Impact on Efficiency, Safety, and Inventory Management.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026Pooled it
- Impact of lean six sigma methodology on healthcare quality in Saudi Arabia: A systematic review.Journal of education and health promotion · 2026Review
- Application of six sigma management in surgical site infection reduction of patients with craniocerebral surgeries.Frontiers in surgery · 2026Article
- Utilization, perceived benefits and concerns regarding robotic technologies among community pharmacists.Future science OA · 2025Article
- Functional analysis of hyperautomation in construction for advancing efficiency and sustainability through process optimization and technological integration.Scientific reports · 2025Article
- AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directions.BMC health services research · 2025Article
- Pharmaceutical Analysis of Inpatient Prescriptions: Systematic Observation of Hospital Pharmacists' Practices in the Early User-Centered Design Phase.JMIR human factors · 2025Article
- Effectiveness of Quality Use of Medicines (QUM) Programs and Strategies in Saudi Arabia: A Narrative Review.Drug, healthcare and patient safety · 2025Review
- Advancements in ambulatory care pharmacy practice in Saudi Arabia: A comprehensive review of innovations and best practices at Johns Hopkins Aramco Healthcare.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024Article
- Enhancing Operational Efficiency and Service Delivery through a Robotic Dispensing System: A Case Study from a Retail Pharmacy in Brazil.Pharmacy (Basel, Switzerland) · 2024Article
- Enhancing Hospital Pharmacy Operations Through Lean and Six Sigma Strategies: A Systematic Review.Cureus · 2024Review
- Improving Inpatient Medication Dispensing with an Automated System.Global journal on quality and safety in healthcare · 2023Article
- Transforming Primary Care: Developing Health Precincts as Models for Sustainable Integrated Community-Based Healthcare.Healthcare (Basel, Switzerland) · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundOutpatient pharmacy management aims for improved patient safety, improved quality of service, and cost reduction. The Six Sigma method improves quality by eliminating variability, with the goal of a nearly error-free process. Automation of pharmacy tasks potentially offers greater efficiency and safety.
objectiveThe goal was to measure the impact that integration of automation made to service, safety and efficiency, staff reallocation and reorientation, and workflow in the outpatient pharmacy department. The Six Sigma problem definition to be resolved was as follows: The current system of outpatient dispensing denies quality to patients in terms of waiting time and contact time with pharmacy professionals, incorporates risks to the patient in terms of mislabeling of medications and the incomplete dispensing of prescriptions, and is potentially wasteful in terms of time and resources.
methodsWe described the process of introducing automation to a large outpatient pharmacy department in a university hospital. The Six Sigma approach was used as it focuses on continuous improvement and also produces a road map that integrates tracking and monitoring into its process. A review of activity in the outpatient department focused on non-value-added (NVA) pharmacist tasks, improving the patient experience and patient safety. Metrics to measure the impact of change were established, and a process map analysis with turnaround times (TATs) for each stage of service was created. Discrete events were selected for correction, improvement, or mitigation. From the review, the team selected key outcome metrics, including storage, picking and delivery dispensing rates, patient and prescription load per day, average packs and lines per prescription, and lines held. Our goal was total automation of stock management. We deployed 2 robotic dispensing units to feed 9 dispensing desks. The automated units were integrated with hospital information technology (HIT) that supports appointments, medication records, and prescriptions.
resultsPostautomation, the total patient time in the department, including the time interacting with the pharmacist for medication education and counseling, dropped from 17.093 to 11.812 digital minutes, with an appreciable increase in patient-pharmacist time. The percentage of incomplete prescriptions dispensed versus orders decreased from 3.0% to 1.83%. The dispensing error rate dropped from 1.00% to 0.24%. Assessed via a "basket" of medications, wastage cost was reduced by 83.9%. During implementation, it was found that NVA tasks that were replaced by automated processes were responsible for an extensive loss of pharmacist time. The productivity ratio postautomation was 1.26.
conclusionsThe Six Sigma methodology allowed for rapid transformation of the medication management process. The risk priority numbers (RPNs) for the "wrong patient-wrong medication error" reduced by a ratio of 5.25:1 and for "patient leaves unit with inadequate counseling" postautomation by 2.5:1. Automation allowed for ring-fencing of patient-pharmacist time. This time needs to be structured for optimal effectiveness.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.