Capture
The order originates in the EMR with full resident context attached.
The platform
Post-acute diagnostics breaks in the space between systems. Lemedix closes that space with a single connected platform, and operates the clinical network on top of it so the architecture is tested by real work every day.
// Order lifecycle
The order originates in the EMR with full resident context attached.
Routing, scheduling, priority, and coverage are resolved across the region.
Field teams collect or image on-site; lab and imaging process against the same record.
Verified results post back into the chart with status and communication intact.
Every completed loop becomes operating data the next loop is measured against.
The stack
Each layer is useful on its own and compounding in combination. We label what is operating today and what we are still building. The story is what we are constructing, not a claim that it is finished.
The order starts where clinical intent starts: inside the resident record. Nothing is re-typed into a vendor portal, so nothing is transcribed wrong.
→Native ordering inside PointClickCare
→Resident, order, and context arrive together
→No second system for facility staff to monitor
Orders become work. The orchestration layer decides who goes where, in what window, with what priority, across every facility on the network at once.
→Scheduled draw windows, including two-draw coverage
→Priority and STAT handling built into the route
→Capacity managed across a region, not per facility
We own the execution layer rather than brokering it. Accredited laboratory operations and mobile imaging run against the same order record the facility created.
→Owned lab operations under COLA, CLIA, and CDPH
→99+ tests with custom test onboarding
→Mobile X-ray, ultrasound, echocardiography, and EKG
→No handoff to a third party that breaks the record
Verified results return to the chart, not to a fax queue. Status, ETAs, and secure communication stay attached to the same order rather than scattering across channels.
→Verified results posted back into the record
→Same-day turnaround for routine testing
→Secure communication tied to the order
→Follow-up and exceptions tracked, not remembered
Integration is the product, not a professional-services project. The interface layer is built so a new EMR or lab system is a configuration problem rather than a rebuild.
→PointClickCare-native integration in production
→Interface layer abstracted from any one vendor
→Standards-based messaging for lab and imaging data
→Designed so new connections extend the same core
Because the whole loop runs on one system, it can be measured. This layer turns the operating record into visibility administrators and corporate teams can act on.
→Turnaround time by facility, region, and route
→STAT dependency and premium spend trends
→Utilization, redraw rates, and exception volume
→Field performance against scheduled coverage
The layer the rest of the stack is groundwork for. Clean, connected operating data is the prerequisite, which is why we built the foundation before the intelligence.
→Order quality checks before a route is dispatched
→Exception and anomaly detection across the network
→Predictive routing and capacity planning
→Clinician-facing result triage support, under clinical ownership
Interoperability
A diagnostics company is limited by how many facilities it can staff. A platform is limited by how many systems it can speak to. We are building for the second constraint.
Native ordering and result return inside the EMR the majority of our facilities already run on.
Our own LIS connected directly to the order record, with no manual reconciliation between them.
Tighter RIS and PACS connections so imaging orders and reads move through the same pipeline as lab work.
The interface layer is abstracted so the next EMR is an integration project, not a second version of the company.
The data layer
Measured as one continuous interval instead of three vendors’ separate clocks.
How often routine need escalates to premium spend, and where scheduling would remove it.
Redraws, missed windows, and incomplete orders: visible, attributable, and reducible.
Coverage against scheduled windows across regions, facilities, and field teams.
// Why this layer exists
Most of post-acute diagnostics has no reliable operating dataset. The information is split across vendors, portals, and phone calls, so no one can see the whole interval, let alone improve it.
Running the full loop on one platform produces that dataset as a by-product of doing the work. It is what makes analytics real today and automation credible tomorrow.
Analytics is in active development and the automation layer is on the roadmap. We describe both as what we are building, and we don’t report outcomes we have not measured.
Build on the platform
Tell us how your facilities order, track, and act on diagnostics today. We’ll show you what the connected version looks like.
Contact us