SOAP note drafting
Turn structured intake into an editable Subjective, Objective, Assessment, and Plan draft.
Clinical AI for licensed acupuncturists
Clinical reasoning,
structured for practice.
ASKLEMER is a clinical decision-support and documentation assistant in development for licensed acupuncturists, grounded in proprietary, de-identified SOAP-note data. It drafts structured notes and suggests point prescriptions—with a practitioner reviewing every output.
Purpose-built for U.S. acupuncture SOAP workflows · Pre-launch · Practitioner-in-the-loop
Clinical workspaceDraft · requires review
S
Subjective
Intake narrative organized into concise, editable findings.
O
Objective
Observed findings, including practitioner-entered pulse and tongue details.
A
Assessment
Pattern differentiation and treatment principle shown as suggestions.
P
Plan
Point prescription with rationale linked to source cases.
Cited rationale · De-identified source excerpt · Practitioner verification required
The problem
Clinical nuance rarely fits a generic template.
Acupuncture documentation asks practitioners to translate a complex visit into a clear Western SOAP structure while preserving pattern differentiation, treatment principle, and point-selection reasoning. ASKLEMER is being built to assist with that translation—not to replace the clinician making it.
What ASKLEMER is building
One workflow from intake to cited rationale.
Point-selection support
Suggest point prescriptions and explain how each choice connects to the clinical reasoning.
Pattern differentiation
Support pattern differentiation across Eight Principles and Zang-Fu, connecting treatment principle to plan.
Private cited retrieval
Ask a case and review relevant excerpts from a proprietary, de-identified SOAP-note corpus.
Proprietary clinical foundation
Structured around de-identified SOAP-note data—not synthetic dialogues.
ASKLEMER’s clinical foundation is a proprietary corpus of real-world acupuncture SOAP notes from educational and practice-clinic settings. De-identification protects identity while the SOAP structure preserves the path from reported findings to observation, assessment, and practitioner-approved plan.
Development status: the product remains in development. Corpus provenance does not by itself establish clinical performance, and no outcome claim is being made.
Closed-loop direction
Private data in. Reviewed intelligence out.
ASKLEMER’s model-development architecture is designed to keep authorized clinical data, training, model updates, and inference inside a controlled loop.
Patient choice
Future clinical records enter the improvement pipeline only when the patient has affirmatively opted in.
De-identify first
Authorized records are de-identified before they move into the proprietary training environment.
Controlled training
Training is intended to run on infrastructure ASKLEMER controls or deliberately selects, including private data-center capacity.
Local inference target
Updated models are intended to propagate back to practitioner-selected local inference units, reducing routine cloud transmission.
Delivery
Use ASKLEMER on its own or inside the clinical workflow.
Standalone website: practitioners can work in a dedicated ASKLEMER clinical workspace.
EHR integration: planned connections can bring practitioner-approved assistance into compatible systems such as athenahealth through supported APIs, command-line tooling, or MCP interfaces, subject to vendor access and permissions.
Roadmap
Acupuncture first. Extensible by discipline.
Acupuncture SOAP notes, pattern differentiation, and point selection are the first clinical foundation. The structured documentation and closed-loop model approach is intended to extend later to adjacent practitioner workflows such as massage therapy and moxibustion.
Expansion areas are roadmap concepts and will require their own authorized data, evaluation, safeguards, and practitioner review.
Built for
Professional acupuncture settings.
Licensed practitioners
L.Ac. and TCM clinicians who want structured documentation without flattening their reasoning.
Integrative clinics
Teams that need consistent, reviewable records and a workflow compatible with U.S. documentation.
Schools & teaching clinics
Programs exploring how cited clinical reasoning can support supervised learning and documentation.
Trust is part of the architecture.
Consent, de-identification, controlled training, local-inference goals, access controls, auditability, and strict practitioner review are design commitments—not certification claims.
Common questions
Can ASKLEMER diagnose or choose a treatment?
No. ASKLEMER drafts and suggests; a licensed practitioner evaluates, edits, and approves every output.
Is ASKLEMER available now?
ASKLEMER is in development. Licensed practitioners, clinics, and teaching programs can join the early-access list or request a pilot conversation.
Early access
Help shape a clinically credible tool.
Tell us how you document, reason, and review.