A Text-Mining Algorithm for Identifying Drug Pairs Potentially Involved in Prescribing Cascades: Development and Internal Validation Within the Prescribing Inappropriateness Assessment (PINA) Digital Tool - Scorecard - MDSpire
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An Algorithm for Text Mining to Detect Potential Drug Pair Interactions in Prescribing Cascades: Development and Internal Validation Using the Prescribing Inappropriateness Assessment (PINA) Tool

  • By

  • Massimo Carollo

  • Anna Forti

  • Salvatore Crisafulli

  • Luca L’Abbate

  • Irene Cristini

  • Federica Soardo

  • Marilisa Giustina Stano

  • David Bellantuono

  • Davide Benetti

  • Riccardo Lora

  • Gianluca Trifirò

  • September 19, 2026

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Clinical Scorecard: An Algorithm for Text Mining to Detect Potential Drug Pair Interactions in Prescribing Cascades: Development and Internal Validation Using the Prescribing Inappropriateness Assessment (PINA) Tool

At a Glance

CategoryDetail
ConditionPrescribing cascades (PCs)
Key MechanismsIdentification of drug pairs potentially representing prescribing cascades during medication review.
Target PopulationPatients exposed to polypharmacy, particularly older adults.
Care SettingMedication review services in clinical settings.

Key Highlights

  • Algorithm developed to identify drug pairs for potential prescribing cascades.
  • Internal validation showed few spurious matches.
  • Broader terminology-based matching enhanced detection of drug pairs.
  • Tool prioritizes candidate drug pairs for clinical assessment.
  • Does not confirm prescribing cascades or initiate automatic deprescribing.

Guideline-Based Recommendations

Diagnosis

  • Accurate determination of prescribing cascades depends on temporal ordering of prescriptions.

Management

  • Utilization of the PINA tool for structured medication reviews.

Monitoring & Follow-up

  • Assessment of candidate drug pairs for potential adverse drug reactions.

Risks

  • Increased risks of drug-drug interactions and adverse drug reactions due to polypharmacy.

Patient & Prescribing Data

Older patients with multimorbidity and polypharmacy.

Medication burden complicated by over-the-counter medications and supplements.

Clinical Best Practices

  • Incorporate structured medication reviews in clinical practice.
  • Utilize established instruments like Beers Criteria and START/STOPP.

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