✦
AI OUTPUTDRAFT MODE
SESSION DATAINPUT ●
AI GENERATIONASSISTED ●
CLINICAL REVIEWREQUIRED ●
AUTO-FINALIZATIONDISABLED ●
CLINICAL DECISION-MAKINGHUMAN ●
✦ AI USE + TRANSPARENCY
AI should be visible, reviewable, and bounded.
Lite Spectrum is designed to use AI as a workflow assistant—not as a hidden decision-maker. AI-generated content should be clearly identified, based on user-provided context, and reviewed before it becomes part of a final clinical record.
● AI-ASSISTED DRAFTS
● PROVIDER REVIEW
● CLEAR STATUS LABELS
● HUMAN CONTROL
// CORE_PRINCIPLE
AI assists the workflow. The clinician owns the final record.
AI Lite Notes is intended to help structure and draft documentation from session information. It should not independently diagnose, prescribe treatment, determine clinical necessity, or replace professional judgment.
WHAT AI LITE NOTES DOES
Turn structured session context into a reviewable starting point.
Uses structured inputs
AI output can be based on session information entered into the workflow, such as chronological events, ABC data, behaviors, interventions, skills, duration, and setting.
SESSION EVENTSABC DATABEHAVIORSSKILLSINTERVENTIONS
Generates a draft
The system can use that context to create a structured draft summary intended to save time during documentation.
✦ DRAFT GENERATED
Keeps review explicit
The workflow should clearly distinguish generated content from finalized documentation and preserve a provider review step.
DRAFT→REVIEW→FINALIZE
// WHAT_AI_DOES_NOT_DO
There are boundaries we do not want to blur.
AI assistance is useful when the role of the system is clear. These are examples of responsibilities that should remain outside the AI's authority.
Diagnose clients
AI Lite Notes is not intended to make independent diagnoses.
Choose treatment plans
Clinical planning and treatment decisions remain with qualified professionals.
Sign or finalize documentation automatically
Generated drafts should not become final records without provider review.
Determine payer or legal compliance
AI output should not be treated as a substitute for billing, legal, or regulatory review.
// HUMAN_IN_THE_LOOP
Every AI-assisted note should move through a visible review path.
The interface should make it obvious when AI was used and where human review is still required.
Staff records structured session information.
AI creates a draft from the available context.
Clinician checks accuracy, completeness, and clinical meaning.
Authorized provider completes the record.
// DATA_BOUNDARIES
AI use should follow the same data-minimization principles as the rest of the platform.
Production AI integrations should be evaluated based on what information is transmitted, why it is necessary, how long it is retained, how the vendor uses it, and what contractual protections apply.
ONLY NECESSARY DATAREQUIRED ●
VENDOR REVIEWREQUIRED ●
RETENTION REVIEWREQUIRED ●
CONTRACTUAL SAFEGUARDSREQUIRED ●
CLINIC CONFIGURATIONREQUIRED ●
CLINIC RESPONSIBILITIES
Responsible AI use is shared work.
Define approved use
Organizations should decide who may use AI-assisted features and for which workflows.
Train staff
Users should understand that generated content may be incomplete or incorrect and always requires review.
Protect sensitive data
Clinics should use only approved workflows and avoid moving sensitive data into unauthorized AI tools.
Monitor quality
Organizations should review output quality, workflow fit, and whether the tool is being used appropriately.
// TRANSPARENCY_COMMITMENTS
What users should be able to see.
Generated content should be clearly labeled as AI-assisted.
The interface should show when a draft is not yet final.
Finalization should be attributable to an authorized user.
AI features should have defined workflow purposes rather than ambiguous authority.
AI FAQ
Questions clinics may ask about AI Lite Notes.
Does AI Lite Notes write the final note automatically?
No. The intended workflow treats AI output as a draft that requires provider review, edits where necessary, and finalization by an authorized user.
Can AI Lite Notes make clinical decisions?
No. The product is intended to assist with documentation workflow, not replace diagnosis, treatment planning, clinical judgment, or supervision.
Is AI output guaranteed to be correct?
No. AI-generated content can be incomplete, inaccurate, or inappropriate for a particular context. Users remain responsible for reviewing the output.
Will sensitive clinical information be sent to an AI provider?
The production data flow will depend on the final AI architecture and vendor configuration. Any use of regulated or sensitive healthcare information should be evaluated through security, privacy, contractual, and compliance review before deployment.
Can clinics disable or limit AI features?
The product direction should support organizational control over permissions and workflows. Exact controls should be finalized as the authenticated product architecture is completed.
// SEE_THE_WORKFLOW
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