{
  "abstract": "Objectives Polypharmacy, the use of five or more medications by an individual, has become an increasingly prevalent and concerning issue in healthcare affecting 65.1% (37.8 million) of US geriatric patients. The management of polypharmacy presents complex challenges that can lead to medication mismanagement and adverse health outcomes. This study aimed to create a prototype smartphone application, ‘Polly,’ to support polypharmacy management by combining traditional medication management tools with real-time verification through artificial intelligence (AI). The app’s goals include improving adherence, increasing patient comprehension and reducing adverse drug events.Design Polly was built using the Flutter framework for cross-platform compatibility, with a backend supported by FastAPI and hosted on Microsoft Azure. Firebase Authentication provided secure user access. Key features include AI-powered medication verification using a fine-tuned YOLOv11 machine vision model, which identifies medications from user-provided images to confirm dosage and schedule accuracy.Results The application incorporates a clear daily schedule view, comprehensive medication lists and detailed input and scheduling options tailored to geriatric users. The machine vision system enhances safety by verifying medication intake while notifications and historical tracking improve adherence. Polly’s error detection system flags discrepancies, prompting users to correct mistakes before taking their medications.Conclusions Polly demonstrates the feasibility of integrating machine vision with traditional medication management to improve safety and adherence in polypharmacy. This app addresses limitations of existing tools by providing real-time verification and proactive error correction, particularly benefiting geriatric populations managing complex regimens. Future directions include clinical validation and expansion to support healthcare provider integration.",
  "authors": [
    {
      "affiliations": [
        "Michigan State University College of Human Medicine, Grand Rapids, Michigan, USA"
      ],
      "name": "Pavitra Attanayake"
    },
    {
      "affiliations": [
        "Western Michigan University Homer Stryker MD School of Medicine, Kalamazoo, Michigan, USA"
      ],
      "name": "Jory Cooper Nagel"
    },
    {
      "affiliations": [
        "Independent Researcher, Grand Rapids, Michigan, USA"
      ],
      "name": "Nathaniel Hagan"
    },
    {
      "affiliations": [
        "Independent Researcher, Grand Rapids, Michigan, USA"
      ],
      "name": "Nicholas Warriner"
    },
    {
      "affiliations": [
        "Michigan State University College of Human Medicine, Grand Rapids, Michigan, USA"
      ],
      "name": "Joseph Mariscal"
    },
    {
      "affiliations": [
        "Michigan State University College of Human Medicine, Grand Rapids, Michigan, USA"
      ],
      "name": "Mark Trottier"
    }
  ],
  "title": "Development of an AI-assisted mobile application for improving polypharmacy management, medication adherence and patient education in outpatient settings",
  "uid": "fca02319-b4c9-5a82-b529-3a21158c52da"
}