From every encounter to a fingerprint of the whole patient
One patient's path to an ATTR diagnosis. Illustrative patient; dates and details are synthetic.
- 01 / 07
Every life is unique.
Each encounter, interaction and measurement adds to the record. Points of data gather into a single fingerprint.
- 02 / 07
Synapsis AI reasons across decades of records to holistically understand each human patient, at scale.
Notes, labs, imaging and operative reports become the ridges of the print. Each lit line is an atomic fact: here, a bilateral carpal tunnel release documented in an operative note.
- 03 / 07
The atomic facts of a patient combine into a unique moment in their journey, evolving as their health changes.
Polyneuropathy clusters with other neuromuscular symptoms. Then hypertension. Findings from different departments and different years, read together.
- 04 / 07
Every signal traced to its source.
The patient starts to present with advanced heart failure. The fact links back to the report and the date it came from.
- 05 / 07
Synapsis AI finds the clinical signals that get patients the care they need, when they need it.
The signal reaches a specialist with the evidence from the chart. A PYP scan follows and the patient is diagnosed with ATTR. The clinician makes every decision.
- 06 / 07
The clinical signals form features to project forward in the patient's journey predictively.
Predictive models trained on a health system's own patients estimate what is likely to happen next, and revise the outlook with each new result.
- 07 / 07
Trained by physicians. Deployed inside your health system. Forming the most complete clinical picture of your patient available.
Trained and tested by physicians; automates chart review and abstraction with >95% accuracy, outperforming generalist foundation models.
PATIENT DATA IS PROTECTED INSIDE YOUR HEALTHCARE SYSTEM
Cardiovascular Surgery
