Accelerate EHR lookups, clinical decision support, and FHIR message processing — without compromising compliance. Self-hosted deployment keeps PHI in your infrastructure.
When a clinician opens a patient chart in Epic, Cerner, or any major EHR, the system makes 50–100+ API calls behind the scenes: demographics, active medications, allergies, lab results, imaging orders, care plans, insurance eligibility, prior authorizations, clinical notes, and vital sign history. Each call hits a cache or database layer.
With traditional caching (Redis, Memcached, ElastiCache), each of those reads costs 1–5ms over the network. Across 50–100 reads, that accumulates to 3–8 seconds of wait time per chart load. Clinicians open dozens of charts per hour. Those seconds compound into minutes of lost clinical time per shift — time that should be spent with patients.
Cachee resolves each of those reads in 1.5µs from L1 memory. A chart that previously needed 5 seconds of cache time now assembles in under 150µs. The chart appears instantly. The clinician never waits.
Not all patient records are accessed equally. Inpatients, ED patients, and those with upcoming appointments generate the vast majority of EHR reads. Cachee's AI prediction engine identifies these high-access patients and keeps their records warm in L1 memory.
For scheduled appointments, Cachee pre-warms the patient's full record — demographics, medications, allergies, recent labs, care plans — before the clinician even opens the chart. The prediction model learns from your scheduling system, admission patterns, and historical access logs to anticipate which records will be needed next.
In the ED, every second matters. Triage nurses need allergy and medication data instantly. Physicians need prior visit history to avoid duplicate workups. Cachee ensures that once a patient is registered, their critical data moves to L1 within milliseconds and stays there for the duration of the visit. Subsequent reads — from any clinician, any workstation, any application — resolve in 1.5µs.
Clinical decision support (CDS) systems are only effective if they are fast enough to not disrupt clinical workflow. A drug interaction check that takes 500ms will be ignored. An allergy alert that takes 200ms to display will be clicked through. The threshold for useful CDS is sub-100ms — fast enough to feel instantaneous.
Cachee caches the data that CDS engines depend on at L1 speed:
1.5µs per lookupWhen the CDS data layer responds in microseconds instead of milliseconds, clinical alerts appear before the clinician's next click. That is the difference between alerts that are acted on and alerts that are dismissed.
Healthcare interoperability depends on fast, reliable message routing. HL7v2 messages (ADT, ORM, ORU) and FHIR API calls flow between systems continuously — lab results to EHRs, admission notifications to billing, referral data to specialty clinics. Each message needs routing table lookups, schema validation, and transformation rules.
Cachee caches routing tables, FHIR CapabilityStatements, and HL7 message schemas in L1. Message routing decisions that previously required database lookups now resolve in 1.5µs. For high-volume interfaces processing thousands of messages per second (lab results, vitals feeds, device telemetry), the throughput improvement is dramatic: 660K+ operations per second per Cachee node.
Cachee offers a self-hosted deployment option specifically designed for healthcare organizations. Deploy Cachee as a sidecar container within your VPC — PHI never leaves your network boundary, never transits a third-party service, and never touches Cachee's infrastructure.
Deploy Cachee in your healthcare VPC in minutes. Self-hosted option available for full HIPAA compliance.
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