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A New Computational Decision Support System for Material Selection and Real-Time Monitoring and Evaluation of Aseptic Technique when Compounding Sterile Preparations

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Abstract

Purpose

The purpose of this project was to design a computational decision support system (DSS) for compounded sterile preparations (CSP).

Methods

Error-free compounding is dependent on the proper selection of components and adherence to procedure during compounding. A material selection system (MSS) based on a graphical user interface (GUI), coupled with a barcode scanner and back-end database, was developed and tested for proper selection of items involving three different medication orders (MO). A video processing system (VPS) was implemented in MATLAB that evaluated live video feed from the compounding hood to monitor the compounding procedure when compounding the MO’s. Surf detection was used to detect and locate compounding items placed in the hood. Various algorithms were developed and tested to enhance the accuracy and robustness of the VPS.

Results

The MSS was tested for all items used in compounding the MO’s, and it performed error-free. The VPS evolved to VPS.03 from VPS.01 and VPS.02. The greatest accuracy and ability for real-time realization were seen in VPS.03. All deliberate mistakes made when compounding the tested medication orders were captured by VPS.03.

Conclusion

The new computational decision support system facilitated error-free selection of components and was able to monitor and evaluate the compounding process in real time. The platform may be used in CSP compounding rooms, to audit techniques and procedures, and in training or educational settings.

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Author notes

    Authors and Affiliations

    1. Electrical Engineering and Computer Science Department, College of Engineering, MS 308, University of Toledo, 2801 W. Bancroft Street, Toledo, OH, 43606-3390, USA

      Hem Regmi & Vijay Devabhaktuni

    2. Department of Pharmacy Practice, MS 1013, College of Pharmacy and Pharmaceutical Sciences, University of Toledo HSC, 3000 Arlington Avenue, Toledo, OH, 43614, USA

      Jerry Nesamony

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    1. Hem Regmi
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    2. Jerry Nesamony
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    3. Vijay Devabhaktuni
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    Corresponding author

    Correspondence to Vijay Devabhaktuni.

    Additional information

    Hem Regmi and Jerry Nesamony contributed equally to this work.

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    Regmi, H., Nesamony, J. & Devabhaktuni, V. A New Computational Decision Support System for Material Selection and Real-Time Monitoring and Evaluation of Aseptic Technique when Compounding Sterile Preparations. J Pharm Innov 12, 124–141 (2017). https://doi.org/10.1007/s12247-017-9270-4

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    • DOI: https://doi.org/10.1007/s12247-017-9270-4

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