Healthcare runs on intelligence. This is HAL.

AI produces capability. Physicians provide truth. HAL runs on both.

"Is there a contraindication for metformin with this patient's CKD stage?"
"How much revenue did I generate yesterday?"
"Compare my prescribing patterns for cellulitis to current guidelines"
"Which diagnoses generate my highest RVUs this quarter?"
"What does this chest X-ray show?"
"How does my sepsis management compare to national benchmarks?"
"Is there a contraindication for metformin with this patient's CKD stage?"
"How much revenue did I generate yesterday?"
HAL IN ACTION
JL
HAL
4 sources active
HAL
Hello, what can I help you with today?

Four sources. One answer.

Published evidence, your encounter history, MDMai billing reports, and an internal knowledge base. Every answer is grounded, sourced, and drawn from your own practice data.

Asks before it answers.

Clinical questions, drug dosing, image analysis. HAL asks targeted follow-up questions one at a time, exactly how a specialist colleague would. No other clinical tool replicates this.

Validated before you see it.

Every clinical response passes through an independent validation layer that checks for accuracy, completeness, and clinical safety before it reaches you.

Your practice data. Visible for the first time.

Every encounter note that flows through MDMai becomes data HAL can analyze. Revenue, clinical patterns, operational bottlenecks, peer benchmarks. No dashboards to build. No reports to run. No BI team to hire. Just ask.

We built HAL’s analytics engine to the same standard Bloomberg applies to financial data: if the data exists, report it with precision. If it doesn’t exist, report “no data found.” Never fabricate. Never estimate without saying so.

Built to handle questions like these.

"For all labial/vulvar cellulitis cases in the past 2 years, what percentage required vanc/pip-tazo versus single-agent therapy? Break down by diabetic vs non-diabetic and correlate with 30-day readmission rates."
"68-year-old with septic shock, lactate peaked at 8.2, now 3.1 after 48hrs on meropenem. ESBL E. coli. Still on pressors. When do I usually see pressor independence in my practice with ESBL bacteremia?"
"Calculate total blocked revenue from consultation encounters where I recommended procedures the primary team administered."
"Compare clinical outcomes, length of stay, and readmission rates for Spanish-speaking patients versus English-speaking patients in my consultations."

Healthcare intelligence. Practice analytics. One platform.

HAL ANALYTICS IN ACTION
Revenue (est.)
$4,281
+12% vs last week
Encounters
14
Avg 12.3 / day
Avg RVU
4.82
CMS Medicare rate
Blocked revenue
$1,247
3 encounters
Click a question above to see HAL Analytics respond with data from your practice
Weekly Revenue Overview
Revenue (est.)
Blocked
Benchmark avg
All data simulated for demonstration. HAL calculates from your real encounter notes and MDMai billing reports using CMS/Medicare RVU rates.

Your practice, analyzed like a Fortune 500.

Financial Intelligence

How much did I make yesterday? Which E/M codes generate the most revenue? What's my estimated reimbursement trend this quarter? HAL calculates from your actual MDMai billing data using CMS/Medicare RVU calculations. No dashboards. No reports. Just ask.

Healthcare Intelligence

What percentage of my cellulitis patients required dual-agent therapy? What's my antibiotic de-escalation rate? How often does my initial assessment get confirmed by imaging? HAL gives you answers from your own clinical data. The kind of practice pattern analysis that would take a research team weeks.

Operational Intelligence

What's my average time from consultation request to note completion? Which days have the highest encounter volume? Where are the gaps between what I document and what I bill? HAL surfaces operational patterns from your workflow data that would otherwise stay invisible.

Comparative Intelligence

How does my sepsis bundle compliance compare to national benchmarks? Are my prescribing patterns aligned with current guidelines? HAL combines your internal data with external evidence and published benchmarks to show you where you stand.