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RESEARCH PAPER / 2026-04-11

A multidisciplinary, AI-supported quality improvement intervention to manage polypharmacy in aging people with HIV.

Jovana Milic, Antonia Pugliese, Michela Belli, Gian Luca Lonardi, Caterina Ruffilli, Tommaso Albano, Marco Visicaro, Martina Ricciardetto, Pierluigi De Cosmo, Chiara Mussi, Francesca Gandolfi, Cristina Mussini, Costantino Grana, Giovanni Guaraldi

Department of Surgical, Medical, Dental and Morphological Sciences, University of Modena and Reggio Emilia, Modena, Italy. · pubmed

Abstract

Aging people with HIV are increasingly affected by multimorbidity and polypharmacy, which heighten the risk of drug-drug interactions (DDIs) and potentially inappropriate medications (PIMs). This study evaluated a multidisciplinary, AI-supported quality improvement intervention designed to optimize polypharmacy management in older people with HIV.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper claims that a multidisciplinary, AI-supported intervention can optimize polypharmacy management in older people with HIV. This research is relevant as it addresses the management of polypharmacy, a significant issue in aging populations that can impact overall health and longevity.

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