PIM treatments optimization with PM-TOM using STOPP and Beers criteria and ChatGPT - a case study
Description
PM-TOM (Personalized Medicine: Therapy Optimization Method) is a decision support tool designed to find treatments with the minimal STOPP and Beers criteria risks and ADRs caused by ADEs, DDIs, DCIs, DGIs and DFIs. The tool optimizes a treatment by considering drug classes selected by health professionals and applicable to the patient's conditions. This data set includes the details of a polypharmacy treatment of an older patient's case at admission to a deprescribing facility, discharge, and after applying the PM-TOM optimization. All three treatments were reviewed by ChatGPT 4.0, trained on a large set of medical literature, which confirmed the benefits of the optimized treatment and its alignment with the Beers and STOPP/START criteria. The integrated PM-TOM and ChatGPT approach has several advantages: 1. PM-TOM simplifies finding and reviewing effective drug regimens, allowing healthcare providers to leverage their expertise more efficiently. 2. Detailed PM-TOM reports facilitate the involvement of pharmacists in monitoring and adjusting polypharmacy treatments. 3. Targeted PM-TOM recommendations help reduce non-actionable alerts, mitigating alert fatigue and minimizing prescribing errors. 4. PM-TOM rapidly evaluates and optimizes complex treatment plans, enabling consideration of multiple safe alternatives. 5. When applied at the primary care level, this approach helps prevent and reduce inappropriate prescribing, including prescribing cascades. 6. AI tools like ChatGPT, trained on up-to-date medical information, provide additional insights to help healthcare providers refine treatment plans.