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.

Applying the Model for Assessing the Value of AI (MAS-AI) Framework To Organizational AI: A Case Study of Surgical Scheduling Assessment in Italy / Bellini, V.; Calabro, F.; Bignami, E.; Haja, T. M.; Fasterholdt, I.; Rasmussen, B. S. B.; Cecchi, R.. - In: JOURNAL OF MEDICAL SYSTEMS. - ISSN 0148-5598. - 49:1(2025), pp. 1-10. [10.1007/s10916-025-02235-7]

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

Bignami E.;Cecchi R.
2025

Abstract

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.
2025
49
1
1
10
Applying the Model for Assessing the Value of AI (MAS-AI) Framework To Organizational AI: A Case Study of Surgical Scheduling Assessment in Italy / Bellini, V.; Calabro, F.; Bignami, E.; Haja, T. M.; Fasterholdt, I.; Rasmussen, B. S. B.; Cecchi, R.. - In: JOURNAL OF MEDICAL SYSTEMS. - ISSN 0148-5598. - 49:1(2025), pp. 1-10. [10.1007/s10916-025-02235-7]
Bellini, V.; Calabro, F.; Bignami, E.; Haja, T. M.; Fasterholdt, I.; Rasmussen, B. S. B.; Cecchi, R.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1407909
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