Digital maturity assessment model for pharmaceutical supply chain: a patient and hospital-centred development

ABSTRACT

This paper presents a digital transformation maturity self-assessment model. The main objective of this model is the diagnosis and the evaluation of the digital maturity of a hospital as a key main in the Moroccan pharmaceutical supply chain. A literature review was conducted for investigating digital maturity models and tools used. A total of 49 relevant works were retrieved, representing 49 distinct maturity models and tools in various domains. The works were inductively analysed, and the maturity model dimensions were extracted and consolidated into a Digital Maturity Assessment Model (DMAM). The resulting DMAM consisted of 4 dimensions: IT & Digital Technologies, Strategy & Processes Management, Human Resources & Culture, and Supply Chain & Patient Journeys Management. Each dimension is further divided into several sub-dimensions, totally 65 sub-dimensions are identified, that can be assessed by the 4 digital maturity levels proposed. The comparison of the proposed digital maturity dimensions and sub-dimensions with the existing models/tools shows a clear and important contribution in the field of digital transformation assessment: the introduction of a new dimension ‘Supply Chain and Patient Management’, that was developed in response to practitioner needs and organizational factors in pharmaceutical supply chain.

KEYWORDS:

• Digital maturity
• digital transformation
• pharmaceutical supply chain
• blockchain
• assessment model
• hospital
• patient

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Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

Notes on contributors

Touria Benazzouz

Touria Benazzouz, PhD in Industrial & Logistics Engineering. Professor in National School of Applied Sciences, Cadi Ayyad University– Marrakech, Morocco. Laboratory of Systems and Applications Engineering (LISA). Research interests are in Hospital Logistics and Management, Supply Chain and Risk Management, Digital transformation, Supply Chain 4.0, Industry 4.0, Machine Learning, Blockchain.

khalid Auhmani

Khalid Auhmani PhD in Electronics and Industrial Computing. Professor in National School of Applied Sciences, Cadi Ayyad University – Marrakech, Morocco. Laboratory of Systems and Applications Engineering (LISA). Research interests are in Industrial Computing, Artificial Intelligence, Machine Learning, Signal and Image Processing, Electronics Engineering.