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AUTOMATED MEDICATION ORDERING USING MEDICINES DISPENSING DATA AND A SOFTWARE ROBOT

European Statement

Selection, Procurement and Distribution

Author(s)

Linda Jeffery
Hospital Pharmacy Central Denmark Region
linjef@rm.dk

Why was it done?

Ordering medications manually takes time and is prone to human error. Since the electronic patient journal, MidtEPJ, holds detailed records of patients’ medication administration, the idea was to use that data to automate the ordering process. The vision was a system where medication use would automatically trigger a restocking order. As there is no direct interface between MidtEPJ and the pharmacy’s ordering system, Apovision, the project aimed to see if it was possible to transfer data between the two systems. As three (of the five) regions in Denmark use the same EPJ system, and all rely on Apovision, a successful pilot in Central Denmark Region could potentially be scaled nationwide.

What was done?

This project investigated whether it would be possible to automate medication ordering for a hospital ward’s standard stock by using dispensing data from MidtEPJ. A software robot (RPA) was developed to pull data from MidtEPJ and create a draft requisition in Apovision. The goal was to simulate an automated process that could ease manual workload, improve accuracy, and support better stock management.

How was it done?

The regional IT team worked closely with the pharmacy to design a workaround. Dispensing data were extracted from MidtEPJ, processed by the RPA, and used to generate a draft order in Apovision. A neurological ward was chosen for testing due to its single medication room and relatively consistent data. Fifteen medications were selected based on their high flow, dosage complexity, and formulation. The system triggered a draft order once a set usage threshold was reached. The process remained semi-automated to meet GDP standards and allow pharmacy technician oversight.

What has been achieved?

The robot successfully generated daily reports and draft orders based on documented usage. However, some discrepancies were found due to documentation habits, timing of data extraction, and product variations. The project showed, for the first time, that automated ordering is technically possible and that a link between MidtEPJ and Apovision can be created.

What next?

The concept is scalable, but further work is needed to improve data accuracy and system integration. With the right technical support, the model could be expanded to cover full inventories and be rolled out across other regions.

VIDEO CONTENT: FEEDBACK ON THE IMPLEMENTATION AND THE MANAGEMENT OF AN AUTOMATED CYTOTOXIC PRODUCTION UNIT

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European Statement

Production and Compounding

Author(s)

M. SIEGWART, A. BENDJAMA, D. KAROUBY, T. MARTIN, L. CITTADINI, MG. MARTINS, P. COLIAT

Why was it done?

Two automated preparation robots were implemented at ICANS in a context of increased activity in oncology, the need to maintain quality assurance in the preparation process and to reduce pharmacy technician’s exposure to cytotoxic agents. Preliminary professional training is crucial to understand this new technology, master the equipment and interfaces, and adapt to the new circuit and procedures.

What was done?

This work was the development of an educational virtual tour of an automated production unit, enriched by feedback, accessible to any professional interested in implementing an automated preparation robot.

How was it done?

The project was developed in collaboration with the Grand Est regional oncology network (NEON). Scripts were written based on a plan, detailing texts and scenarios to create short videos, each addressing a different theme with a voice-over narration. A professional team from NEON shot the film and edited according to the scripts. Location scouting and filming were completed over 3 days, with voice-over recording and editing done afterward.

What has been achieved?

Six scripts were produced. The first introduces the centre, while 4 others detail the management of an automated unit, including the organization and operation of storage areas, decontamination SAS, personal SAS, and the cleanroom (functional parameters, particulate class, airflow schema, dressing and hygiene rules, microbiological controls, cleaning, and the composition of the “breakage kit”). The robots are covered in a dedicated script that discusses the context of automation, their operation, the software used, possible interfaces, preparation procedures, and cleaning. The final script reviews the entire circuit, linking each area and stage of production: pharmaceutical validation, automated production management, material and vial preparation, manufacturing, and pharmaceutical release.

What next?

The virtual tour presents the circuit and the role of each involved personnel, highlighting precautions and subtleties compared to a non-automated circuit according to the most recent french guidelines. Although the practices shown may not be applicable to all centres due to differences in production area layouts, structures, staffing, and equipment, these videos aim to clarify the functioning of an automated unit while adhering to the guidelines. This online training can promote the standardization of practices, helping professionals from other centres install production automation systems. It encourages innovation and supports pharmacists during this critical transition.

MANUAL COUNTING IN CONNECTION WITH THE MIXING OF INTRAVENOUS ANTIBIOTICS IS NOW BEING REPLACED BY A SOFTWARE ROBOT

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European Statement

Selection, Procurement and Distribution

Author(s)

Michelle Ann Matzen, Linda Jeffery, Mette Juul-Gregersen, Bente Jonassen, Lene Juhl Biltsted

Why was it done?

At the regional hospitals in Horsens and Randers, the pharmacy helps mix selected intravenous (IV) antibiotics for patients admitted to inpatient wards (piperacillin/tazobactam, cefuroxime, and cloxacillin).
The mixing takes place centrally and is then distributed to the relevant wards.
Our electronic prescribing system does not help us to identify which/how many patients require these antibiotics so the number of prescriptions for each ward was manually counted before the mixing process.
To reduce medication waste, the manual counting was done every morning and noon, with an estimated time consumption of about 1 hour per day per location.
The goal was to move away from manual counting and towards an automated solution.

What was done?

The pharmacy assists wards in mixing IV antibiotics. There was a desire to digitize and streamline the workflow through development of a software robot.

How was it done?

The pharmacy assembled a team from two locations and reached out to the region’s robotic process automation (RPA) developers.
The pharmacy set requirements and expectations for the RPA solution with the developers.
Throughout the development, the programming was revised and adjusted several times to obtain the most accurate prescription data.
To verify the robot’s counting, manual counts were conducted multiple times during the process, leading to adjustments in the robot’s programming.

The development of the RPA solution spanned 9 months.

What has been achieved?

The fully developed RPA solution is now used at both locations. A report is emailed twice a day, after which antibiotics are mixed and distributed to the relevant wards.
Benefits:
• Frees up time for other tasks
• Data is more up-to-date regarding changes in patients’ medications
• Medication waste is minimized

What next?

There are plans to create a similar setup for a central mixing unit at Aarhus University Hospital, where the RPA solution can be implemented from the start.
There is potential for the RPA solution to be used at other locations/departments, with different medications. For example, monitoring of inhalation preparations or anticoagulant medications.