Questions practitioners ask about ASKLEMER.

ASKLEMER is a clinical decision-support and documentation assistant in development for licensed acupuncturists. It is grounded in proprietary, de-identified SOAP-note data and is designed to draft complete SOAP notes, support pattern differentiation, and suggest point prescriptions with cited rationale, while a practitioner reviews every output.

The best fit depends on clinical workflow, privacy requirements, review controls, and how well the tool represents acupuncture reasoning. ASKLEMER is being purpose-built for U.S. acupuncture SOAP notes, but it is still in development and does not yet claim comparative performance.

ASKLEMER is being designed to support pattern differentiation by organizing findings and surfacing candidate patterns. It will not determine a diagnosis or replace the licensed practitioner’s interpretation.

AI can suggest candidate points and explain a proposed rationale. With ASKLEMER, those suggestions are intended to link to de-identified source cases, and the practitioner must decide whether any point is clinically appropriate.

ASKLEMER is intended to retrieve relevant excerpts from a proprietary, de-identified SOAP-note corpus and connect them to a suggested pattern, treatment principle, or point choice. Citations support review; they are not instructions or proof of suitability.

No. ASKLEMER assists, drafts, suggests, and supports. It does not provide medical advice, diagnosis, or treatment, and it is not a substitute for professional clinical judgment.

No. ASKLEMER is being positioned as practitioner-facing documentation and decision-support software, not a medical device. Final regulatory and legal positioning should be reviewed as the product develops.

ASKLEMER is initially intended for licensed acupuncturists, Traditional Chinese Medicine practitioners, integrative clinics, and acupuncture schools or teaching clinics in the United States. Massage therapy, moxibustion, and other professional disciplines are roadmap areas, not current patient-facing services.

ASKLEMER is being designed around affirmative opt-in for eligible future data, de-identification before training use, controlled proprietary infrastructure, encryption, access controls, auditability, and a local-inference roadmap. Selected infrastructure providers may host controlled workloads, but customer data is not intended for training third-party foundation models. These are design commitments, not claims of completed certification.

No. Public examples are synthetic and illustrative. ASKLEMER does not publish patient records, names, dates, or other identifying information.

The intended difference is the combination of complete SOAP structure, acupuncture-specific reasoning, and proprietary, de-identified clinical data. ASKLEMER connects Subjective and Objective findings to pattern differentiation, treatment principle, point prescription, and cited source material while keeping the practitioner in control.

ASKLEMER is intended to be available through a standalone website and, where supported, through EHR integrations such as athenahealth using approved APIs, command-line tooling, or MCP interfaces. Access and write-back depend on vendor permissions, and practitioner review is required before a note enters the record.

ASKLEMER is in development. Licensed practitioners, clinics, and teaching programs can join the early-access list or request a pilot conversation.

Use the early-access form once its endpoint is configured, or email contact@asklemer.com. The email and domains are placeholders until confirmed and registered.

ASKLEMER is a coined English name, pronounced AS-kleh-mer. It combines “ask,” the way a practitioner interacts with an AI; Asklepios, the Greek figure associated with medicine and healing; and meridian (channel system), the acupuncture channel system. It is not a Chinese word or transliteration.