Applying the Model for Assessing the Value of AI (MAS-AI) Framework To Organizational AI: A Case Study of Surgical Scheduling Assessment in Italy.

This work aims to explore the transferability of the Model for Assessing the value of Artificial Intelligence in medical imaging (MAS-AI) in the Italian context through a case-study. We applied the MAS-AI, a model for assessing AI in healthcare, to fulfil a technology assessment of an AI model devel...

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Publicado en:Journal of Medical Systems Vol. 49; no. 1; pp. 1 - 11
Autores principales: Bellini, Valentina, Calabrò, Francesco, Bignami, Elena, Haja, Tudor Mihai, Fasterholdt, Iben, Rasmussen, Benjamin SB, Cecchi, Rossana
Formato: research tables/charts Journal Article
Publicado: Springer Nature 8/23/2025
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Applying the Model for Assessing the Value of AI (MAS-AI) Framework To Organizational AI: A Case Study of Surgical Scheduling Assessment in Italy.
      aug:
        au:
          Bellini, Valentina
          Calabrò, Francesco
          Bignami, Elena
          Haja, Tudor Mihai
          Fasterholdt, Iben
          Rasmussen, Benjamin SB
          Cecchi, Rossana
        affil: https://ror.org/02k7wn190 Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126, Parma, Italy
      sug:
        subj:
          Artificial Intelligence Utilization
          Organizational Efficiency
          Appointments and Schedules
          Diagnostic Imaging
          Conceptual Framework
          Models, Theoretical
          Surgery, Operative
          Human Italy
          Italy
          Descriptive Statistics
          Multidisciplinary Care Team
          Case Studies
      ab: This work aims to explore the transferability of the Model for Assessing the value of Artificial Intelligence in medical imaging (MAS-AI) in the Italian context through a case-study. We applied the MAS-AI, a model for assessing AI in healthcare, to fulfil a technology assessment of an AI model developed within our institution. The model, called New organization model for the surgical unit (BLOC-OP), uses AI to improve the schedule efficiency of the surgical unit. The analysis of BLOC-OP's features, as they were described in the project presentation, was conducted through the requirements for the assessment contained in the MAS-AI model. The methodological framework of MAS-AI was fully followed, allowing us to conduct a comprehensive assessment of the BLOC-OP model in all its aspects. We provided a detailed description of each domain within the framework, along with a summary table. The case study demonstrates the feasibility of applying MAS-AI to organizational AI models in a national context different from where the framework was originally developed. Rather than proposing a new model, we tested the adaptability of MAS-AI in evaluating a non-imaging AI system. This confirms its flexibility beyond its original scope and supports its potential as a generalizable tool for AI evaluation in healthcare.
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      ougenre: Article
    language: English
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