An EHR records the visit,
and Arcametric measures
the arc of care.
It connects each visit into one measurable arc, so the whole picture holds together instead of being reconstructed.
Care moves forward. The record of it stays put.
A person's care in interventional mental health runs across preparation, treatment, integration, and follow-up, often over months, more than one clinician, and more than one system. Each system holds its own piece well. What no one holds is the thread between them: how the pieces connect, what followed what, what changed along the way.
Establish the baseline, clinical context, and planning that need to be available when treatment begins.
- Informed consent
- Risk and safety
- Mental health screening
- Set and setting
Build a structured chronology of the session as dosing, events, vitals, observations, and other recorded information unfold.
- Dose administrations
- Vitals
- Clinical reports
- Adverse events
- Experiential observations
Keep integration sessions, assessments, follow-up planning, and later observations connected to the treatment history.
- Integration sessions
- Follow-up planning
- Ongoing assessments
- Long-term follow-up
Arcametric begins where the EHR ends.
It sits beside the systems you already run. Your EHR keeps the encounter; Arcametric keeps the connections between encounters, so the whole arc reads as one history instead of something reassembled from scattered notes. Nothing is replaced. Something is added: the thread.
It holds the work, not the person's name.
Arcametric separates who someone is from what was done for them. No patient name ever enters Arcametric. Identity stays with the practice that holds the relationship, and a de-identified patient reference carries the structured work. Separating identity does not erase every obligation that comes with clinical information, but it is what lets the work be shared and compared without the person being exposed.
Patient Identity
Name, date of birth, contact details
Identity remains hereEHR
Your existing identity-bearing clinical system
Local Crosswalk
The clinic maps identity to a De-Identified Patient Reference and keeps that link in its own systems.
De-Identified Patient Reference
No patient name required
Structured Clinical Record
Timing, interventions, observations, follow-up
Reports and Analytics
Governed clinical outputs from eligible structured data
Independent work that finally adds up.
Every practice keeps working its own way and keeps its patients' identities local, whether they share one EHR, use different ones, or none at all. What they share is one structure of meaning, so independently documented care stays comparable across clinicians, organizations, and years. That is the larger arc: not one patient's journey, but what the field can learn when careful, independent work can finally add up, without anyone being told how to practice.
What it takes to learn from this well.
A connected record is a starting point, not proof. Comparable observations are not established results, and an incomplete record is not a complete one. Learning across practices takes eligible data, sound method, and permissions that differ by who is asking and why. Arcametric is built to make that learning possible, carefully, and to stay honest about what it does not yet show.
The record is not the care.
The people are the reason for it.
Behind every record is a person whose experience is larger than anything that can be written down, and a practitioner carrying the judgment and the responsibility. Arcametric exists to serve them first, and to let care given today sharpen the understanding of care tomorrow.
Start with the work in front of you.
Document your next treatment and watch the arc hold together. Arcametric is free to use, and you can see a short demo first.
Go deeper
- Research Library Published third-party evidence, sources and limits labeled
- Standards Initiative The working coding proposal and how to review it
- Coding Landscape Where existing code systems fit, and where the gaps are
- Structural Privacy How patient identity stays separate from the record
- Sample Reports Real governed outputs from a structured record