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3PC-056 Performance analysis of a fully automated oncology pharmacy production: a 2018 update
  1. S Leoni1,
  2. MS de Meo1,
  3. A Ortenzi1,
  4. S Guglielmi1,
  5. LL Borgiani2,
  6. M Federici2,
  7. D Paolucci2,
  8. A Marinozzi1
  1. 1Ospedali Riuniti Ancona, Hospital Pharmacy, Ancona, Italy
  2. 2Loccioni Group, Humancare, Ancona, Italy


Background The aseptic compounding of injectable antiblastic drugs is centralised in the oncology pharmacy and, since 2014, is performed by using a fully automated platform that enables control of the whole production process. The platform comprises a robotic system for fully automated preparation (APOTECAchemo), a supporting device for manual compounding (APOTECAps) and a workflow management software (APOTECAmanager). The production is mainly just-in-time (80% outpatient and 20% inpatient) and performed in a Class C cleanroom by seven pharmacy technicians and two pharmacists. The daily working time is from 8 am to 4 pm (Monday–Friday).

Purpose The aim of this study was to analyse the performances of the fully automated oncology pharmacy production.

Material and methods The performances were analysed by means of the statistical tool of the APOTECA platform over a period of 9 months (January–September 2018). Productivity, dosage accuracy, precision and turnaround time were measured and compared between automated preparation with APOTECAchemo and manual preparation supported by APOTECAps.

Results Overall, 18 524 preparations (62.6% infusion bags, 26.3% syringes, 11.1% elastomeric pumps) were compounded with APOTECAchemo and 5272 preparations (52.3% infusion bags, 46.8% syringes, 0.9% elastomeric pumps) with APOTECAps. In total, 82 different active ingredients were processed. Regarding dosage accuracy, APOTECAchemo showed better performances, with 96.6% of preparation with a deviation of ±5% versus 93.0% of the manual compounding. Less than 1% of preparations presented a drug error exceeding 10%. The turnaround time, calculated from the prescription time to the delivery time, was similar for both procedures. The average output amounts to 13.2 preparations/hour for APOTECAchemo and 15.0 preparations/hour for APOTECAps.

Conclusion The utilisation of the fully automated platform for managing the oncology pharmacy activities guarantees the possibility of measuring and controlling every single step of the whole production process. In-process controls, such as gravimetric control, barcode and photographic recognition, allow prompt corrective action in the case of deviations.

References and/or acknowledgements No conflict of interest.

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