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Automated preparation of cytotoxic drugs: the evidence for an interface between the robot and computerized provider order entry?
  1. Romain-Pacôme Desmaris1,
  2. Mathilde Roche1,
  3. Assia Mitha1,
  4. Sabine Azam2,
  5. Vincent Blazy2,
  6. Andre Rieutord1,
  7. Hail Aboudagga1
  1. 1Department of Clinical Pharmacy, Gustave Roussy, Villejuif, Île-de-France, France
  2. 2Department of Information Technology and Digital Transformation, Gustave Roussy, Villejuif, Île-de-France, France
  1. Correspondence to Dr Romain-Pacôme Desmaris, Department of Clinical Pharmacy, Gustave Roussy, Villejuif, France; romain.desmaris{at}

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Although hospital pharmacists have to face to many constraints when organising the preparation of injectable chemotherapy products, the delivery of secure chemo preparations on the due time for day hospital patients is a major issue according to patients and healthcare professional expectations. Manual preparation of cytotoxic drugs is often associated with high-risk activities and variable performances, while fully-automated preparation with robots offer several advantages in terms of quality and reduction of medication errors related to wrong product identification, traceability, and process documentation.1 Furthermore, process automation reduces occupational exposure, musculoskeletal risks, and repetitive strain injuries of pharmacy technicians.

In 2017, the Department of Clinical Pharmacy at our institution launched a call for tenders for two robotic systems for the preparation of cytotoxic drugs. After implementation of the first APOTECAchemo robot in February 2018, a …

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  • Contributors RD, VB and SA defined the interface specification according to the robot provider. VB and SA developed the interface with the HL7 standards. RD performed the different tests and the qualification of the interface according to the provider supervision. VB verified the results of the tests and qualification.The implementation of the interface was done with VB and SA according to the robot provider recommendations. MR collected the production data of the two robots before and after interface implementation. AM and HA helped supervise the project. RD and MR wrote the letter with support from AR.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; internally peer reviewed.