Clinical content. Reviewed. Sourced. Owned.

Security protects the data. Clinical governance protects the reasoning. Here is how the clinical content inside OnDemand Psychiatry is built, reviewed, and updated.

Editorial leadership

Who owns the clinical content.

Clinical Editor-in-Chief
Dr. Tanveer A. Padder, MD
Triple board-certified psychiatrist. Every reasoning pathway reviewed and signed off.
Clinical Advisory Board
Being assembled
Members and affiliations will be published with conflict-of-interest disclosures once the board is formed.
Sources

Every reasoning pathway is built against a defined source set.

Review cadence

How often we review.

Quarterly
Psychopharmacology safety logic
Full review against current FDA labeling and new safety communications.
Biannual
Diagnostic reasoning pathways
Full review against current DSM-5-TR and ICD-10 guidance.
Biannual
Risk assessment frameworks
Reviewed against published validation studies.
Continuous
FDA black-box warnings
Triaged within 30 days of publication. “Last clinically reviewed” timestamp visible on each pathway.
Error handling

When something is wrong.

Clinicians can flag any output directly from the product. Every flag is triaged within two business days, and verified errors are corrected within five business days. Severity-1 safety issues are addressed immediately, with notice sent to active users.

Disclosures

Conflicts of interest & funding.

Dr. Padder publishes disclosures of any pharmaceutical, device, or commercial relationships annually. The clinical content team has no industry funding tied to product recommendations. OnDemand Psychiatry does not accept advertising or sponsored content from pharmaceutical or device manufacturers.

Provenance

The 100,000-encounter framework.

The figure refers to Dr. Padder’s career clinical encounters across emergency, inpatient, outpatient, addiction, and consultation-liaison psychiatry. These encounters informed the design of the reasoning frameworks. They are not a training corpus for an external model and do not contain identifiable patient information. The system does not retrieve or surface any individual encounter.