DACS

DACS

The platform that utilizes advanced planning and optimization algorithms to streamline the preparation of medications in hospital pharmacies, minimizing waste and maximizing operational efficiency.

Hospital pharmacies face significant challenges in effectively managing the preparation and distribution of treatments while minimizing waste and maximizing operational efficiency. The DACS project is developing an innovative platform to optimize the planning of treatments, reduce return rates, and improve equipment interoperability, thereby automating operations in a more seamless and precise manner.

Expertises:

Algorithmic and combinatorial Optimisation 

Domaine: Health 

Asset: Oscar.CBLS 

Factsheet:

Objectives

The DACS project ("Dispensing Automation and Communication Software") aims to significantly reduce the return rate of unit doses of medication delivered by optimizing their preparation while considering logistical and medical constraints, with the goal of achieving a return rate of less than 5%. Additionally, the solution seeks to improve the interoperability of the equipment used to automate pharmacy operations and maximize resource utilization, thereby reducing low-value manual tasks for the teams.

Results

The DACS project will result in the creation of a software platform capable of collecting and combining various constraints to anticipate and plan the preparation of treatments as close to the time of administration as possible, while incorporating the latest changes to prescriptions. This optimization will be ensured by the Smart Production Planner module, developed by CETIC, which utilizes the combinatorial optimization tool "OscaR" to efficiently plan the preparation of treatments.

Added Value

The DACS solution will deliver significant added value by reducing costs and inefficiencies associated with the return of unit doses of medication, while freeing up time for pharmacy teams through increased automation of operations. By improving the interoperability of equipment and optimizing the preparation of treatments, DACS will contribute to better resource management and more precise administration of treatments to patients.