# Incomplete Patient Medication Histories Pose a Significant Barrier to Finding the Best Treatment Choices in Outpatient Community Care

## TL;DR

Incomplete medication histories in outpatient care hinder effective treatment decisions, and better documentation and genetic data could help personalize therapies.

## Contribution

The paper proposes systematic documentation of medication failures and integration of pharmacogenetic data to improve treatment personalization.

## Key findings

- Current outpatient records often lack critical medication history data like discontinued drugs and reasons for discontinuation.
- Pharmacogenetic testing can help predict treatment response and adverse effects based on genetic variations in drug metabolism.
- Structured documentation and secure integration of pharmacological and genetic data could enhance individualized outpatient care.

## Abstract

When physicians consult patients with chronic conditions, they often need to make treatment decisions. Pharmacological strategies are based on different sources, including complete medication histories. However, a physician’s access to a patient’s medication history is usually limited to current medications and known allergies. This editorial examines gaps in outpatient medication documentation and argues for systematic improvements in how medication response data are collected and shared. We propose adding medication-related information to a patient’s medical records that would facilitate determining effective treatment strategies, as these data are often neither collected nor presented in the medical history. The minimum required information includes data about medications discontinued due to adverse reactions, ineffectiveness, nonadherence, or excessive costs. In selected clinical contexts, pharmacogenetic testing may assist with treatment decision-making by identifying patients at higher risk of non-response or adverse effects. Based on a patient’s genetic variations in drug metabolism, pharmacogenetic results may allow physicians to anticipate treatment response and personalize guideline-based therapy for chronic conditions. In this article, we discuss the absence of this necessary information in medical records and its implications for selecting safe and effective treatments across various medical specialties. We propose implementing structured documentation of medication failures and, where appropriate, integrating pharmacogenetic data within privacy-secured databases to support individualized outpatient care. Having more complete pharmacological data for each patient, including drugs previously tried without success or discontinued for various reasons, and ideally a genetic metabolic profile, could help clinicians identify the most appropriate drugs on an individual basis.