Robotic i.v. medication compounding: Recommendations from the international community of APOTECAchemo users

Aggregate Formation and Antibody Stability in Infusion Bags: The Impact of Manual and Robotic Compounding of Monoclonal Antibodies

Monoclonal antibodies (mAbs) can be damaged during the aseptic compounding process, with aggregation being the most prevalent form of degradation. Protein aggregates represent one of several risk factors for undesired immunogenicity of mAbs, which can potentially lead to severe adverse drug reactions and less effective treatments. Since data on aggregate and particle formation by robotic compounding is missing, we aimed to compare the antibody stability between robotic- and manual compounding of mAbs with regard to formation of (sub)visible aggregates. Infliximab and trastuzumab were compounded into infusion bags with the APOTECAchemo robot or manually by nurses or pharmacy technicians. The products were analyzed by quantifying (sub)visible particles with nanoparticle tracking analysis, dynamic light scattering (DLS), light obscuration, micro-flow imaging, high pressure size exclusion chromatography (HP-SEC), and visual inspection. HP-SEC showed high percentages monomers in trastuzumab (99.4 % and 99.4 %) and infliximab (99.5 % and 99.6 %) infusion bags for both manual and robotic compounding, respectively. DLS indicated more consistent and reproducible results with robotic compounding, and confirmed monodisperse samples with a higher polydispersity index for manual compounding (0.16, interquartile range; IQR 0.14-0.18) compared to robotic compounding (0.12, IQR 0.11-0.15). This study shows that the studied compounding methods had a minor impact on the number of aggregates and particles, and that robotic compounding of mAbs provided at least similar quality as manual compounding.

Evaluation of oncology infusion pharmacy practices: A nationwide survey

PURPOSE

Oncology care continues to evolve at a rapid pace including provision of infusion-based care. There is currently a lack of robust metrics around oncology infusion centers and pharmacy practice. The workgroup completed a nationwide survey to learn about oncology-based infusion pharmacy services offered. The objective was to highlight consistent, measureable oncology-based infusion pharmacy metrics that will provide a foundation to describe overall productivity including emphasis on high patient-safety standards.

METHODS

A nationwide survey was developed via a workgroup within the Vizient Pharmacy Cancer Care Group beginning in April 2019 and conducted electronically via the Vizient Pharmacy Network from September to November 2020. The survey was designed to capture a number of key metrics related to oncology-based infusion pharmacy services.

RESULTS

Forty-one sites responded to the survey. Responses highlighted hours of operation (median = 11.5), number of infusion chairs (median = 45). Staffing metrics included 7.1 pharmacist full-time equivalent (FTE) and 7.6 technician FTE per week. 80.5% of sites had cleanrooms and 95.1% reported both hazardous and nonhazardous compounding hoods. 68.3% of sites reported using intravenous (IV) technology, 50.0% measured turnaround time, and 31.4% prepared treatment medications in advance.

CONCLUSION

There was variability among oncology infusion pharmacy practices in regard to survey responses among sites. The survey results highlight the need for standardization of established productivity metrics across oncology infusion pharmacies in order to improve efficiency and contain costs in the changing oncology landscape. The survey provides insight into oncology infusion pharmacy practices nationwide and provides information for pharmacy leaders to help guide their practices.

Comparing different robots available in the European market for the preparation of injectable chemotherapy and recommendations to users

INTRODUCTION

Recent advances in technology have made it possible to develop robots for preparing injectable anticancer drugs. This study aims to compare characteristics between robots available in the European market in 2022 and to help future pharmacy users in their choices.

METHODS

Three sources of data were used: (1) a review of published articles in the MEDLINE database from November 2017 to end of June 2021 on chemotherapy-compounding robots used in hospital; (2) all manufacturers' documentation, and (3) demonstrations of robot operations in real hospital conditions and discussions with users and manufacturers. Robot characteristics included number of robots installed, general technical characteristics, type of injectable chemotherapy produced and compatible materials, productivity data, preparation control methods, residual manual tasks, chemical and microbiological risk management, cleaning method, software, and implementation time.

RESULTS

Seven robots commercialized were studied. Several technical characteristics have to be taken into account in selecting the robot whose match the specific needs of a particular hospital, and which often require rethinking the current production workflow as well as the organization of the pharmacy unit. In addition to increasing productivity, the robots improve the quality of production thanks to better traceability, reproducibility, and precision of sampling. They also improve user protection against chemical risk, musculoskeletal disorders, and needle wounds. Nevertheless, when robotization is being planned, there are still numerous residual manual tasks to keep in mind.

CONCLUSION

Robotization of the production of injectable anticancer drugs is booming within anticancer chemotherapy preparation pharmacy units. Feedback from this experience needs to be further shared with the pharmacy community regarding this significant investment.

[Robotic production of injectable anticancer drugs in hospital pharmacies]

INTRODUCTION

Following the 2005 decree on securing the medicine supply chain, the production of "chemotherapies", anticancer drugs (cytotoxic, cytostatic, immunotherapy), was centralised within hospital pharmacies. To cope with increasingly growing activities, pharmacies are moving towards robotisation. This work offers feedback from four French sites pioneers in robotic production.

MATERIAL AND METHOD

A review of the literature was carried out on the PubMed and Google Scholar scientific databases and GERPAC publications relating to the robotic production of chemotherapy preparations. This review allowed to select 25 articles.

RESULTS

The robotisation of the production of "chemotherapies" requires infrastructural prerequisites, a reengineering of the manufacturing process and the patient journey. This impacts all the parties involved in this complex process. The "cobotisation" concept or collaborative robotics must be anticipated by the teams. Robotisation is an institutional decision, which must be owned by the pharmaceutical team and endorsed by the medical team and management.

DISCUSSION/CONCLUSION

For reasons of optimisation, safeguarding and management of human resources, a large number of centres get equipped with robotic systems. Robotic preparation should extend to other non-hazardous preparation, as it is already the case in other countries. This strategic view should be carried out today to anticipate problems, ensure safety and improve the healthcare quality.

Artificial intelligence and robotics on the frontlines of the pandemic response: the regulatory models for technology adoption and the development of resilient organisations in smart cities

Smart cities do not exist without robotics and Artificial Intelligence (AI). As the case of the COVID-19 pandemic shows, they can assist in combating the novel coronavirus and its effects, and preventing its spread. However, their deployment necessitate the most secure, safe, and efficient use. The purpose of this article is to address the regulatory framework for AI and robotics in the context of developing resilient organisations in smart cities during the COVID-19 pandemic. The study provides regulatory insights necessary to re-examine the strategic management of technology creation, dissemination, and application in smart cities, in order to address the issues regarding the strategic management of innovation policies nationally, regionally, and worldwide. To meet these goals, the article analyses government materials, such as strategies, policies, legislation, reports, and literature. It also juxtaposes materials and case studies, with the help of expert knowledge. The authors emphasise the imminent need for coordinated strategies to regulate AI and robots designed for improving digital and smart public health services globally.

Evaluation of external contamination on the vial surfaces of some hazardous drugs that commonly used in Chinese hospitals and comparison between environmental contamination generated during robotic compounding by IV: Dispensing robot vs. manual compounding in biological safety cabinet

Objectives

The aims of the study were to evaluate the external contamination of hazardous drug vials used in Chinese hospitals and to compare environmental contamination generated by a robotic intelligent dispensing system (WEINAS) and a manual compounding procedure using a biological safety cabinet (BSC).

Methods

Cyclophosphamide, fluorouracil, and gemcitabine were selected as the representative hazardous drugs to monitor surface contamination of vials. In the comparative analysis of environmental contamination from manual and robotic compounding, wipe samples were taken from infusion bags, gloves, and the different locations of the BSC and the WEINAS robotic system. In this study, high-performance liquid chromatography coupled with double mass spectrometer (HPLC-MS/MS) was employed for sample analysis.

Results

(1) External contamination was measured on vials of all three hazardous drugs. The contamination detected on fluorouracil vials was the highest with an average amount up to 904.33 ng/vial, followed by cyclophosphamide (43.51 ng/vial), and gemcitabine (unprotected vials of 5.92 ng/vial, protected vials of 0.66 ng/vial); (2) overall, the environmental contamination induced by WEINAS robotic compounding was significantly reduced compared to that by manual compounding inside the BSC. Particularly, compared with manual compounding, the surface contamination on the infusion bags during robotic compounding was nearly nine times lower for cyclophosphamide (10.62 ng/cm² vs 90.43 ng/cm²), two times lower for fluorouracil (3.47 vs 7.52 ng/cm²), and more than 23 times lower for gemcitabine (2.61 ng/cm² vs 62.28 ng/cm²).

Conclusions

The external contamination occurred extensively on some hazardous drug vials that commonly used in Chinese hospitals. Comparison analysis for both compounding procedures revealed that robotic compounding can remarkably reduce environmental contamination.

Cleveland Clinic International IV Robotics Summit

Disclaimer

In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

Purpose

The proceedings of an international summit on the current and desired future state of use of robotic systems to compound intravenous (IV) solutions are summarized.

Summary

The International IV Robotics Summit was held at the Cleveland Clinic main campus in Cleveland, OH, on April 29 and 30, 2019. The purpose of the summit was 2-fold: (1) to define the current state of robotic IV compounding and (2) to develop a guide for automation companies, pharmacy departments, and drug manufacturers to improve the technology and expand the use of IV robotics in health systems in the future. The first day of the summit included 45-minute presentations by each of the speakers. Each lecturer recounted a different hospital’s experience implementing and using IV robotics. On day 2 of the summit, an expert panel dedicated to mapping the future of IV robotics was convened to determine barriers to widespread adoption of IV robotics in health systems and offer potential solutions to remove these barriers. The expert panel targeted 3 specific audiences: robot manufacturers, drug manufacturers, and fellow pharmacy leaders.

Conclusion

It is the hope of the international faculty that the information that emerged from the summit can be used by others to successfully implement IV compounding robotics in their sterile products areas to maximize patient safety. The summit also served as a call to action for pharmacy leaders, drug manufacturers, and robotic companies to develop a safer, more efficient future for patients by working together to optimize the development and operation of IV robotics.

Robotic chemotherapy compounding: A multicenter productivity approach

INTRODUCTION

The aim of this study is to compare productivity of the KIRO Oncology compounding robot in three hospital pharmacy departments and identify the key factors to predict and optimize automatic compounding time.

METHODS

The study was conducted in three hospitals. Each hospital compounding workload and workflow were analyzed. Data from the robotic compounding cycles from August 2017 to July 2018 were retrospectively obtained. Nine cycle specific parameters and five productivity indicators were analysed in each site. One-to-one differences between hospitals were evaluated. Next, a correlation analysis between cycle specific factors and productivity indicators was conducted; the factors presenting a highest correlation to automatic compounding time were used to develop a multiple regression model (afterwards validated) to predict the automatic compounding time.

RESULTS

A total of 2795 cycles (16367 preparations) were analysed. Automatic compounding time showed a relevant positive correlation (ǀr_s|>0.40) with the number of preparations, number of vials and total volume per cycle. Therefore, these cycle specific parameters were chosen as independent variables for the mathematical model. Considering cycles lasting 40 minutes or less, predictability of the model was high for all three hospitals (R²:0.81; 0.79; 0.72).

CONCLUSION

Workflow differences have a remarkable incidence in the global productivity of the automated process. Total volume dosed for all preparations in a cycle is one of the variables with greater influence in automatic compounding time. Algorithms to predict automatic compounding time can be useful to help users in order to plan the cycles launched in KIRO Oncology.

Increasing pharmacy productivity and reducing medication turnaround times in an Italian comprehensive cancer center by implementing robotic chemotherapy drugs compounding

INTRODUCTION

The management of antineoplastic drugs used for chemotherapy is widely recognized as a high-risk activity. In 2018, our oncology pharmacy implemented workflow improvements to manage the growing workload due to the centralisation of activities from a hospital's satellite pharmacy, moving towards automated compounding of antineoplastic drugs.The aim of this study was to determine the impact of the centralization on the productivity of the pharmacy department and evaluate the performances of the robotic chemotherapy drugs compounding.

MATERIAL AND METHODS

Data were collected from the hospital information system and the workflow management software, and examined over a 3-year period (2017-2019). The total annual throughput in terms of doses prepared and patients treated and the Medication Turnaround Time (MTAT) were determined. Productivity and dosage accuracy were calculated for the robotic system.

RESULTS

In 2018, the number of patients treated increased by 16.6%, consequently, the overall number of intravenous preparations compounded in the pharmacy increased by 17.2%. Regarding manual compounding, the total number of antineoplastic preparations decreased by about 2%. Investigational treatments manually compounded increased by about 27%, in contrast to the non-investigational treatments, which decreased by 9.4%. Regarding robotic compounding, the annual production increased by 50.4%. In 2018, the MTAT decreased about 24%. The dosage accuracy and precision of the total amount of doses were -1.1% and 1.2%, respectively.

CONCLUSION

This study indicates that in the effort to satisfy an ever-increasing workload, computerization and automation are essential instruments to maintain and ensuring high standards of quality.

Automated compounding technology and workflow solutions for the preparation of chemotherapy: a systematic review

OBJECTIVES

The current systematic review (SR) was undertaken to summarise the published literature reporting the clinical and economic value of automation for chemotherapy preparation management to include compounding workflow software and robotic compounding systems.

METHODS

Literature searches were conducted in MEDLINE, Embase and the Cochrane Library on 16 November 2017 to identify publications investigating chemotherapy compounding workflow software solutions used in a hospital pharmacy for the preparation of chemotherapy.

RESULTS

5175 publications were screened by title and abstract and 18 of 72 full publications screened were included. Grey literature searching identified an additional seven publications. The SR identified 25 publications relating to commercial technologies for compounding (Robotic compounding systems: APOTECAchemo (n=12), CytoCare (n=5) and RIVA (n=1); Workflow software: Cato (n=6) and Diana (n=1)). The studies demonstrate that compounding technologies improved accuracy in dose preparations and reduced dose errors compared with manual compounding. Comparable levels of contamination were reported for technologies compared with manual compounding. The compounding technologies were associated with reductions in annual costs compared with manual compounding, but the impact on compounding times was not consistent and was dependent on the type of compounding technology.

CONCLUSIONS

The published evidence suggests that the implementation of chemotherapy compounding automation solutions may reduce compounding errors and reduce costs; however, this is highly variable depending on the form of automation. In addition, the available evidence is heterogeneous, sparse and inconsistently reported. A key finding from the current SR is a 'call to action' to encourage pharmacists to publish data following implementation of chemotherapy compounding technologies in their hospital, which would allow for evidence-based recommendations on the benefits of chemotherapy compounding technologies.

Stability of calcium levofolinate reconstituted in syringes and diluted in NaCl 0.9% and glucose 5% polyolefin/polyamide infusion bags

Purpose

Calcium levofolinate (CaLev) for intravenous administration is commercially available as a powder that must be reconstituted for injection or reconstituted and then diluted before administration. The lack of stability data on CaLev solutions renders necessary extemporaneous manual preparation, preventing the use of automated/semi-automated systems, with a consequent loss in terms of quality and safety.

Methods

The present work assessed the chemical–physical and microbiological stability of CaLev prepared in sodium chloride 0.9%, glucose 5% and water for injections and stored in polyolefin/polyamide bags and polypropylene syringes at 2–8°C protected from light. For this purpose, we developed and validated a new rapid High Performance Liquid Chromatography with Ultra Violet Diode-Array Detection (HPLC-UV-DAD) method.

Results

The samples tested were stable for 14 days, retaining >95% of their initial concentration and showing no change in colour, turbidity or pH. Microbiological tests performed on the samples were negative.

Conclusions

Our results confirmed the analytical stability of CaLev in NaCl 0.9%, glucose 5% and water for injection at concentrations used in clinical practice at our institute. This enables our centralized laboratory to organize the preparation of this drug in advance and the use of robots rather than manual preparation reduces the workload and the risk of preparation errors.

Microbiological validation of a robot for the sterile compounding of injectable non-hazardous medications in a hospital environment

Objectives

To design and execute a comprehensive microbiological validation protocol to assess a brand-new sterile compounding robot in a hospital pharmacy environment, according to ISO and EU GMP standards.

Methods

Qualification of the Class-A inner environment of the robot was performed through microbial air and surface quality assessment utilising contact plates, swabs and particulate matter monitoring. To evaluate the effectiveness of the microbial decontamination process (UV rays) challenge test against Pseudomonas aeruginosa, Staphylococcus aureus, Bacillus subtilis spores and Candida albicans was used. The challenge Media Fill test was used to validate the aseptic processing.

Results

After 3 hours, no microorganisms retained viability. Monitoring inside the equipment evidenced complete absence of microorganisms. The Media Fill test was always negative.

Conclusions

According to our results, the APOTECAunit meets the requirements for advanced aseptic processing in the hospital pharmacies and the pharmaceutical industry in general, providing advantages in terms of safety for patients compared with conventional procedures of parenteral preparation production. The protocol has demonstrated to be a comprehensive and valuable tool in validating, from a microbial point of view, a sterile-compounding technology. This study might represent an important benchmark in developing a contamination control strategy, as required, for example, in the Performance Qualification of the GMP in the case of drug manufacturing.

Simulation program of a cytotoxic compounding robot for monoclonal antibodies and anti-infectious sterile drug preparation

The aim of this study was to develop a specific simulation program for the validation of a cytotoxic compounding robot, KIRO® Oncology, for the preparation of sterile monoclonal antibodies and anti-infectious drugs. The impact of excipient formulations was clearly measured using simulation accuracy tests with worst case excipient (i.e. viscous, foaming) and allowed to correct the robotic settings prior to real production. Corrections brought accuracies within the acceptable range of ±5%. KIRO® Oncology robot has also the capacity of self-cleaning and a simulation combining media fill test, and environmental monitoring was able to validate the aseptic process including simulation of worst case conditions and highlighting the areas not accessible to self-cleaning to be corrected by additional manual cleaning measures. The risk of chemical contamination was simulated by using fluorescent dye of the process with high-risk excipient formulation and overpressure vials. Quality control reliability was simulated by using a model drug, and final concentration was determined by high-performance liquid chromatography-ultraviolet detection. Finally, productivity was simulated using different models of production showing the impact of the type of drug, the number of vials and the poor standardization of the process.

The Safety of Intravenous Drug Delivery Systems: Update on Current Issues Since the 2009 Consensus Development Conference

This review was prepared in advance of the Third Consensus Development Conference on the Safety of Intravenous Drug Delivery Systems that was held at the W Hotel in Chicago, Illinois, from November 1 through 3, 2018. The purpose of this conference was to evaluate the safety of intravenous (IV) infusion systems used for medication administration. The expert panel of pharmacists, physicians, and nurses updated the findings of the Second Consensus Development Conference in 2009 that reviewed 5 IV drug delivery systems (manufacturer ready to use, outsourced ready to use, point-of-care activated, pharmacy compounded, and nonpharmacy compounded at point of care) with regard to applicability, ease of use, regulatory compliance, cost, safety, and implementation. The Third Consensus Development Conference expanded on previous findings by reviewing proceedings related to new standards, legislation, technologies, and shortage-related challenges related to IV medication administration that have been published since 2009. Invited faculty and audience members participated in revising a preliminary report summarizing these changes during the meeting.

Qualification and Performance Evaluation of an Automated System for Compounding Injectable Cytotoxic Drugs

Background

Use of automated systems for the production of chemotherapy will increase in answer to hospitals’ needs to rationalise production. The aim of the study was to evaluate the performance of a PharmaHelp® automated system for compounding chemotherapy.

Methods

Viable and non viable particles in air and liquid were measured by particle counter. Surface chemical contamination was simulated with a quinine solution. Microbiological contamination and aseptic processes were studied using media-fill tests. Dose accuracy was evaluated using a gravimetric method, in simulation studies and with real products in daily practice. Productivity was calculated by batch of ten IV-bags.

Results

No particles or microbiological contamination were detected. Filling was accurate for all the volumes of non-viscous solution studied (97–103 %). Minimum volumes which could be prepared accurately were 2 mL and 5 mL for the non-viscous and viscous solutions, respectively. For 2–5 mL volumes, the robot was less accurate than average, and 0–2 % of bags were rejected (deviation>10 %). Average fill deviations were from 0–3 % for 2–5 mL volumes and<1 % for volumes above 5 mL. Average production time for ten bags was 61±11 min.

Conclusions

The automated system was able to produce chemotherapy effectively, delivering appropriate quality with productivity comparable to manual preparations. These results confirmed that such automated systems have the potential to guarantee optimal safety for patients and technicians.

Environmental and Product Contamination during the Preparation of Antineoplastic Drugs with Robotic Systems

Background

Robotic systems are designed to minimize the exposure to antineoplastic drugs during automated preparation. However, contamination cannot be completely excluded. The aim of the study was to evaluate the contamination with antineoplastic drugs on the working surfaces and on the outer surface of the ready-to-use products (infusion bags and syringes) during automated preparation with different versions of a robot and manual preparation.

Methods

Surface contamination with platinum (Pt) and 5-fluorouracil (5-FU) was measured by wipe sampling and quantified by voltammetry for Pt and GC-MS for 5-FU. Sampling was performed on pre-defined locations in the working areas before and after preparation of standardized test products. The outer surfaces of Pt- or 5-FU-containing infusion bags and 5-FU-containing syringes were sampled without and after manual capping.

Results

Overall, the surface contamination in the working areas of the robotic system ranged from 0.4 to 114 pg/cm2 for Pt and from 1.3 to 1,250,000 pg/cm2 for 5-FU. The highest contamination levels were detected after preparation on the gripper of the robotic arm and on the surface beneath the dosing device. In most cases, measured concentrations were higher after preparation. Outer surfaces of infusion bags prepared with the robotic system were less contaminated than manually prepared bags. Contamination on the outer surface of syringes varied depending on the procedure adopted.

Conclusions

The risk of contamination is localised inside the working area of the robot. The outer surfaces of products were only marginally contaminated. Cleaning procedures of the working area are to be further investigated. An effective decontamination procedure for the working area of the robot and automated capping of filled syringes should be developed to further minimize the occupational risk.