Building Better Data Infrastructure for Cannabis Research

One of the most persistent challenges in medical cannabis research is the fragmentation of data. Clinical outcomes, patient-reported experiences, and regulatory records often exist in silos, making it difficult to draw meaningful conclusions at scale.

The Problem

Researchers and clinicians working in the medical cannabis space frequently encounter the same frustrations:

• Inconsistent data standards across jurisdictions and institutions
• Lack of interoperability between electronic health record systems
• Limited longitudinal data tracking patient outcomes over time

These gaps are not merely academic concerns. They have real consequences for patients, who may miss out on evidence-based treatment recommendations, and for policymakers, who must make decisions with incomplete information.

Toward a Solution

Building better data infrastructure for cannabis research requires a collaborative, multi-stakeholder approach:

1. Adopt standardised data models that enable cross-institutional comparison
2. Invest in interoperable platforms that connect clinical, regulatory, and research data
3. Prioritise patient privacy while enabling responsible data sharing

The good news is that many of the tools and frameworks needed to address these challenges already exist in adjacent fields. The task now is to adapt and apply them to the unique context of medical cannabis.