Challenge: Risks in Polypharmacy Treatment

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Polypharmacy—treatment involving multiple medications—is common, especially among older adults and patients with chronic conditions. However, it significantly increases the risk of adverse drug reactions (ADRs), which may arise from:

• Individual drug effects

• Drug-drug interactions (DDIs)

• Drug-condition interactions (DCIs)

• Drug-gene interactions (DGIs)

Traditional clinical decision support (CDS) systems can alert clinicians to potential ADRs but often fail to recommend safer alternative treatments.

A report by the U.S. Food and Drug Administration, Preventable Adverse Drug Reactions: A Focus on Drug Interactions, notes that ADRs could be the fourth leading cause of death in the United States, underscoring that most of these events are preventable.

 

Solution: PM-TOM — Personalized Medicine Treatment Optimization

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PM-TOM (Personalized Medicine – Therapy Optimization Method) is a clinical decision support tool designed to optimize complex polypharmacy regimens. It helps reduce the risk of various types of ADRs and inappropriate medications flagged by the Beers Criteria. Additionally, PM-TOM identifies foods and supplements that should be avoided due to potential interactions with drugs. PM-TOM is powered by structured data on medications, conditions, pharmacogenomics, and interactions. It is also integrated with OpenAI tools to support:

• Suggesting safer alternative medications

• Recommending initial dosages

• Reviewing optimized treatments for quality and safety

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This Website: A Web-Enabled PM-TOM Platform

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This site allows users to:

• Enter and analyze complex polypharmacy regimens

• Optimize treatments using PM-TOM

• Generate deprescribing plans

• Review optimized regimens using OpenAI's language model

The platform includes example cases demonstrating how PM-TOM and ChatGPT were used together to improve safety in high-risk polypharmacy scenarios. You will also find references to academic papers and conference presentations that explain the method and case studies demonstrating its benefits.