Physician holding a stethoscope
AI Suggests. Clinicians Decide.Multi-EHR platform, live in athenaOne

Clinical work doesn't end when a patient visit does.

Solafya tracks every lab order, identifies unfulfilled follow-ups, and surfaces chart-aware clinical context before patients fall through the cracks.

Reviewed by board-certified physiciansHIPAA-aligned, BAA-ready

Clinical work doesn't end when a patient leaves the exam room.

Physicians spend nearly half their office day, 49.2 percent, on EHR and desk work: chart review, inbox management, and unresolved orders.1 Solafya automates the part of that load that closes the loop on lab follow-up.

1. Sinsky C, et al. Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties. Annals of Internal Medicine, 2016;165:753-760.

Measure the ROI

Measure the ROI of Automated Oversight

Use the calculator below to estimate the reclaimed clinical hours and administrative savings Solafya provides your practice.

Estimated Annual Impact

$182,000 / year

6,500.0 clinical hours / year returned to your care team.

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Calculation assumes a $28/hr fully burdened staff cost, informed by U.S. Bureau of Labor Statistics wage data plus standard payroll-tax and benefits loading. The premise that EHR inbox and results-management work consumes substantial ambulatory staff and clinician time is supported by published time-motion research (Sinsky et al., Annals of Internal Medicine, 2016; Arndt et al., Annals of Family Medicine, 2017). This is an estimated, illustrative figure based on the information you provide, not a guaranteed savings amount. Actuals vary by practice volume.

The five-step loop

How Solafya closes the loop

The loop starts before the result, at the moment a lab is ordered.

Patient encounter

ClinicScribe captures spoken lab intent during the visit.

Order verification

Matched against active orders in athenaOne before the visit closes out.

Continuous tracking

LabWatch monitors incoming results against the patient's history.

Lumina chart synthesis

Contextual risk scoring and guideline-backed differential reasoning.

Resolution

Pre-drafted note ready for one review and sign-off.

Complete audit trailNo spreadsheetsNo guesswork

The clinical intelligence layer

Lumina AI: clinical & operational intelligence

Not just another AI copilot. Lumina is the chart-aware intelligence engine that powers LabWatch and ClinicScribe: synthesizing patient history for physicians and triaging risk for care teams.

Lumina AI copilot panel inside an athenaOne patient chart, flagging critical thrombocytopenia in a 6-year-old with cited ASH 2019 guidelines

Hypothetical case. Patient is not real. We never use real patient information in our marketing, and we never share yours outside your clinic.

For clinicians, at the point of care

Chart synthesis

Reviews lab trends, medications, and diagnoses in seconds.

Trend detection

Flags worsening lab trends, like Platelets 42 K/uL in a 6-year-old female, before they become acute.

Guideline-backed next steps

Cites published literature, including PubMed PMID references, for one-click drafting and physician review.

For practice operations, across the group

Risk prioritization

Surfaces the highest-risk patients with unresolved lab orders.

Operational bottlenecks

Identifies pending follow-ups before they stall.

Closed-loop audit

Tracks every abnormal result to a documented resolution.

Interoperability

Built for Interoperability Across Medical Group EHRs

Live today

Native SMART-on-FHIR integration inside athenaOne

Extending across leading ambulatory EHR platforms on our product roadmap:

EpicOracle Health (Cerner)eClinicalWorksNextGenTebraPractice Fusion

Our platform is architected on open FHIR standards to support physician-owned medical groups regardless of their core EHR infrastructure.

Alerts that arrive in time.

No dashboards to check. Every abnormal result, worsening trend, and stalled follow-up is delivered to the right person.

Critical lab: email

From: Solafya Alerts <noreply@notifications.solafya.com>

๐Ÿ”ด Critical lab: J.D. (62M), Potassium 6.8 mmol/L

A critical-range lab result was received for one of your patients.

Patient:
J.D., 62-year-old male
Result:
Potassium 6.8 mmol/L (critical high, normal 3.5โ€“5.0)
Drawn:
9:47 AM, today ยท Quest Diagnostics

Recommended action: confirm with EKG, evaluate for hyperkalemia causes (medications, renal function, hemolysis). Consider repeat draw if hemolysis suspected.

Hypothetical case. Patient is not real.

Text alert

Critical lab: pushed to phone

Sent to the on-call physician

Solafya CRITICAL: Pt JD (62M), Potassium 6.8 mmol/L drawn 9:47a. Confirm w/ EKG. Full chart: lw.app/a/8x2K. Reply STOP to opt out.

Initials and age/sex only. Full name, date of birth, and record number stay behind login.

Hypothetical case. Patient is not real.

Lumina insight

Worsening renal function detected

Patient: S.M., 45F

Jan65Feb58Mar52Apr48

Slope: -5.7 mL/min/month. Crossing CKD Stage 3a โ†’ 3b threshold.

Lumina recommends: Nephrology consult within 30 days. Repeat creatinine + urine ACR. Review for nephrotoxic medications (NSAIDs, contrast exposure).

AI-generated insight. Physician review required.

Hypothetical case. Patient is not real.

StalledDashboard view

No follow-up documented: 14 days

Patient:
M.K., 58M
Lab:
Hemoglobin 9.2 g/dL (low, anemia workup needed)
Drawn:
14 days ago
Ordering:
Dr. Patel

Status: result reviewed but no follow-up plan documented.

Hypothetical case. Patient is not real.

These are example alerts using made-up patients. We never use real patient information in our marketing, and we never share yours outside your clinic.

Who it's for

Built for the people who run the practice, and the ones who treat the patient

Practice Managers

Own the operational risk when a result falls through the cracks, without adding headcount to manage it.

Practice Administrators

Need staff time back from manually chasing labs across spreadsheets and systems.

Directors of Clinical Operations

Accountable for follow-up compliance, without an audit trail that proves it.

Physicians

Carry the liability when a result is missed, and the burnout of chasing it themselves.

The lab follow-up gap

In busy independent clinics, abnormal lab results move through multiple steps:

Ordering

Result review

Patient notification

Follow-up scheduling

When staff are overloaded, follow-up responsibility becomes unclear. Manual systems break under pressure.

Missed or delayed follow-up increases clinical risk and liability exposure.

Built for independent medical groups

Physician-owned medical groups running on athenaOne, typically 10 to 50 clinicians, without hospital-scale care coordination infrastructure.

LabWatch enhances clinical judgment. It does not replace it.

Designed specifically for:

Primary careInternal medicineNephrologyMulti-specialty groups

Enterprise credibility & governance

Athenahealth Developer Ecosystem Partner

Founding Partner pilots include a dedicated athenahealth integration architect for onboarding.

Board-certified physician advisors

Every clinical workflow and AI recommendation is reviewed by practicing Emergency Medicine physicians.

HIPAA-aligned, BAA-ready architecture

Patient data encrypted in transit and at rest. Never sent to ChatGPT or other public AI tools.

Apply for the athenaOne Founding Clinical Partner Program

We're selecting three independent medical groups, 10 to 50 clinicians, for our exclusive Partner Program: priority access to new features, dedicated deployment configuration, and a complimentary 30-day pilot.

Reserve Your Practice Spot

Behind the workflow system

Solafya clinical intelligence platform

LabWatch is powered by a clinical intelligence system that prioritizes risk and reduces noise, without removing human oversight.

Catches labs mentioned but never ordered

Real-time abnormal detection

Lab trend detection

Risk prioritization

Follow-up recommendations

Chart review summarization

AI suggests. Clinicians decide.

HIPAA-alignedPatient data encryptedAI suggests, you decideSee our security & compliance โ†’