Chronic pain is felt every day. It’s measured less than once a month.
EI Health is building a way for people living with chronic pain to describe their day in their own words, and for that description to become a predicted PROMIS® Pain Interference T‑score their care team can follow over time.
Improve care for a historically underserved chronic pain population by giving patients better tools to communicate with their providers, while also enabling more timely, effective and sustainable care across the healthcare system.
The clinical picture is always out of date
Chronic pain shifts day to day, but it is typically captured only at occasional appointments. A long questionnaire, filled out months apart, flattens a rich experience into a single number. Between visits, the story a patient could tell in their own words is simply lost.
EI Health is designed to turn that everyday narrative into a consistent, standards‑based measurement a clinician can follow, so care decisions can rest on how someone is actually doing, not on a snapshot from last quarter.
Built to work with clinicians, never around them
EI Health does not diagnose, treat or make clinical decisions. A patient describes their day, the system predicts a score and a clinician decides everything. That order never changes.
The point is to give providers a clearer and more current picture between visits. When the story of the last month is already in front of a physician, appointment time goes further, changes in treatment response have a chance to surface sooner and a practice can look after more people well with the hours it actually has. EI Health is designed to complement clinical judgment and to help clinicians provide better and more care. It never replaces them.
Measurement that value‑based care can stand on
Chronic pain care is moving toward value‑based models that pay for outcomes rather than visit volume. That shift only works if outcomes are actually measured, consistently and over time, and today they mostly are not.
EI Health is designed to supply that record: a longitudinal, standards‑based view of pain interference that practices and health systems can bring with them as they take on value‑based arrangements.
Early, and honest about it
EI Health grew out of a first‑place finish at the American Academy of Pain Medicine’s Hacking Pain Hackathon in March 2026, and incorporated in July 2026. Our system is built and validated end‑to‑end on synthetic data, and is ready for clinical data. Clinical pilots have been secured and have not yet begun. Our study protocol is in preparation with a university co‑investigator and will run under a university IRB.
We don’t make clinical or performance claims we haven’t earned. What we can show today is the approach, the engineering discipline behind it and the team. A full site is on its way; in the meantime, we’d genuinely like to hear from you.
Ben Palmer
B.S. Bioinformatics, University of Utah, one of the program’s first graduating cohort. Ben built EI Health’s model and MVP and led the first‑place team at the American Academy of Pain Medicine’s 2026 Hacking Pain Hackathon. He is a BiteLabs Digital Health fellow and leads EI Health’s work in the SPARC Health incubator, with a background in Python, machine learning and genome‑editing research.
Clinicians, researchers and partners
If you work in pain care, patient‑reported outcomes or clinical research and want to talk, feel free to get in contact with us. Please don’t include patient health information in your message.
Prefer to talk? Call or text Ben at (385) 272‑4564.
Get in touch