Deterministic and stochastic interventions in reducing drug–drug interactions in inappropriate prescribing: A systematic review
Muhammad Fahmi Ahmad Zuber, Nur Aishah Che Roos, Ruzanna Mat Jusoh, Nurulhuda A Manaf · 2026
Read Deterministic and stochastic interventions in reducing drug–drug interactions in inappropriate prescribing: A systematic review by Muhammad Fahmi Ahmad Zuber, Nur Aishah Che Roos, Ruzanna Mat Jusoh, Nurulhuda A Manaf (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13585254.txt.
Description
Muhammad Fahmi Ahmad Zuber and co-authors review ways to cut harmful drug pair clashes in a 2026 paper. When patients take many drugs at once, pairs can interact and cause harm that could have been avoided. Help tools for prescribers have grown from fixed rule based alerts toward data driven models that handle chance.
Four databases were searched up to October 2025 for studies of computer based tools of both kinds. The review followed standard reporting rules for such work. Its core question is whether the newer, more complex models truly make care safer than the older rule based ones. The answer guides hospitals choosing their next alert system.
Catalog record
| CREATOR | Muhammad Fahmi Ahmad Zuber, Nur Aishah Che Roos, Ruzanna Mat Jusoh, Nurulhuda A Manaf |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 55 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |