Healthcare optimization
Token compression for healthcare AI
Medical records, clinical notes, and research papers are long, dense, and expensive to process with LLMs. Token compression preserves every clinical finding while removing administrative text.
Why healthcare needs smart compression
A typical patient encounter includes: demographic data, medical history, lab results, clinical notes, medication lists, and follow-up plans. Sending all of this to an LLM on every query is expensive - and risky if summarization changes clinical details.
SuperCompress performs query-aware selection: it keeps every line containing lab values, diagnoses, medications, and clinical findings while removing administrative boilerplate, billing codes, and consent form text.
Compliance considerations
SuperCompress reports important-context-kept and compression-risk on every result. This makes it auditable for compliance workflows where you need to verify what was removed.
Frequently asked questions
Is compression HIPAA compatible?
Compression happens before any API call and doesn't log data. Self-host for full control.
Can it handle ICD-10 codes and lab values?
Yes. The compiler preserves structured medical codes and numeric lab results.
Build with less context
Put compression in front of your next LLM call.
Use the hosted API or run SuperCompress locally. Keep the evidence, drop the token waste, and measure the savings before it reaches your model.