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September 20, 2026

Takeaways from the most recent news in the technology and policies shaping healthcare.

Health IT

Definium's LSD Therapy Hits Goal in Phase 3 Depression Trial

Definium Therapeutics says its LSD-based drug, DT-120, helped patients with major depressive disorder in its first Phase 3 trial, according to STAT News. The result pushes the psychedelic closer to a potential regulatory submission and possible approval.

The finding matters because late-stage data is the threshold the FDA needs to consider clearing a new therapy. Most psychedelic research to date has been earlier-stage or focused on other compounds. A positive Phase 3 readout for LSD specifically signals that the science is maturing past small academic studies into the kind of large, controlled trials regulators require.

The field has had a rocky path. The FDA declined to approve MDMA-assisted therapy for PTSD, a high-profile setback that raised questions about trial design, blinding, and the role of accompanying psychotherapy. Definium's data will face the same scrutiny. Investors and clinicians will want to see the full results, including how durable the effect is and how the company handles dosing and supervision in practice.

Sources

More in Health IT

Health IT

The AI Agent Bill Health Systems Can't See Coming

Rush's CIO says the tools to model AI agent costs don't exist, so health systems must control spending through workforce governance.

Why it matters: AI agents can rack up unpredictable compute bills that current tools cannot forecast, putting health system budgets at risk as deployments scale.

Health IT

Why Top Healthcare CIOs Lead With Relationships, Not Tech

University of Utah Health's Donna Roach says influential healthcare CIOs win through executive relationships, not technical skill.

Why it matters: As health systems bet big on AI and digital tools, a CIO's influence with the C-suite determines whether those investments succeed.

Health IT

Physician: AI's Bigger Risk Is Not Using It in Healthcare

A physician argues in Becker's Hospital Review that the U.S. health system's cost and poor outcomes are a bigger, more immediate danger than AI's theoretical existential risks.

Why it matters: It reframes the AI debate for health leaders around a present-day threat: a costly system that already fails patients.