Question 1

What is DataLily AI?

Accepted Answer

DataLily AI is an AI automation platform for Ambulatory Surgery Centers (ASCs) and the RCM teams that serve them. Its four core products are pre-op screening, task management, procedure library, and an operations dashboard. A human approves every action.

Question 2

How does DataLily AI reduce same-day surgery cancellations?

Accepted Answer

DataLily AI reviews each patient chart from your HIE and EMR before the procedure, flags anticoagulation, cardiac, and infection risks, and surfaces medications, allergies, transport, and pre-op instructions as tasks so staff can confirm them with patients ahead of surgery. Practices using the platform report cutting staff time on pre-op from 45 to 11 hours per week and lifting on-time clearance from 72% to 97%.

Question 3

Who does DataLily AI serve?

Accepted Answer

DataLily AI serves three audiences: (1) ASC operators and MSOs running cases day-to-day; (2) RCM companies that want a white-label execution layer plus market intelligence to win and grow accounts; and (3) de novo ASC builders evaluating site selection, CON rules, payer mix, and case-mix opportunity before they build. Surgeon offices and independent practices also use the platform for pre-op screening and revenue-cycle workflows.

Question 4

Does DataLily AI replace our EHR?

Accepted Answer

No. DataLily AI is an automation layer on top of your existing HIE and EMR. Lily pulls chart data, drafts work products (auth letters, eligibility checks, task assignments), and surfaces each one as an approvable task. Staff retain final approval on every action.

Question 5

How does DataLily AI keep a human in the loop?

Accepted Answer

Every AI-generated action is a task in a prioritized queue with the AI reasoning attached. Staff approve, reject, or modify it in one click, saving roughly 30 seconds per item. The operations dashboard provides a complete audit trail across eligibility, pre-op clearance, procedure, coding, and claim.

Question 6

What is the difference between DataLily AI Lily and DataLily AI Rose?

Accepted Answer

Lily is the action layer — AI agents that handle pre-op screening, task management, the procedure library, and the operations dashboard. Rose is the intelligence layer for de novo ASC site selection, payer benchmarking, provider intelligence, and growth-opportunity sizing.

Question 7

What measurable impact do ASCs see with DataLily AI?

Accepted Answer

Customer-reported outcomes published on the product page: 100% of charts reviewed (up from 0%), staff hours on pre-op dropping from 45 to 11 per week, patients cleared on time rising from 72% to 97%, and insurance issues caught early rising from 34% to 98%. Inline KPIs: 75% less admin time, 34 hours saved weekly, 97% on-time clearance.

Question 8

How does AI work in revenue cycle management for ASCs?

Accepted Answer

AI in ASC revenue cycle management automates the workflows between patient scheduling and final claim payment. DataLily AI covers the full stack: real-time eligibility and benefits verification, pre-op chart review against the patient history, claims automation, denial management with root-cause tracking, and AR follow-up. Every AI action surfaces as a task with the reasoning attached so staff approve, reject, or modify in one click.

Question 9

What is the best AI software for an Ambulatory Surgery Center?

Accepted Answer

The right AI software for an ASC should be (1) purpose-built for surgery-center workflows rather than generalist healthcare RCM, (2) AI-native with agents that own end-to-end tasks rather than chat add-ons, (3) human-in-the-loop with explicit approval on every action, and (4) integrated with your HIE and EMR rather than a replacement. DataLily AI was built specifically for ASCs, MSOs, RCM companies, and de novo surgery-center builders, with four core AI products: pre-op screening, task management, procedure library, and operations dashboard.

Question 10

Does DataLily AI integrate with my EMR, EHR, or HIE?

Accepted Answer

Yes. DataLily AI Lily pulls chart data from your HIE and EMR to run pre-op screening, builds the procedure library against CPT-specific requirements and your surgeon protocols, and writes results back as tasks for staff approval. DataLily AI is an automation layer on top of your existing clinical and scheduling systems — not a replacement.

Question 11

Which surgical specialties does DataLily AI support?

Accepted Answer

DataLily AI supports every specialty served by ambulatory surgery centers: orthopedics, GI / gastroenterology, ophthalmology and cataract, pain management, spine, podiatry, ENT, plastic surgery, urology, GYN, cardiology, and general surgery. The procedure library encodes CPT-specific requirements, surgeon protocols, and per-payer rules for each, so the same platform handles a multi-specialty ASC or a single-specialty surgery center without reconfiguration.

Question 12

How does DataLily AI help reduce ASC denials and AR aging?

Accepted Answer

Most ASC denials trace back to front-end gaps: eligibility mismatches, coding errors, and incomplete documentation. DataLily AI prevents those upstream with real-time eligibility verification, CPT-specific procedure library checks, and pre-op chart review. When denials still happen, denial management tooling tracks root cause by payer and drafts appeals. Combined, this lifts clean claim rate and first-pass yield, and shortens days in AR.

Question 13

Is DataLily AI for independent ASCs, multi-site MSOs, or both?

Accepted Answer

Both. Independent physician-owned ASCs use DataLily AI to run lean — pre-op screening and end-to-end revenue cycle from one platform. Multi-site MSOs and ASC chains use the same platform across facilities, with the operations dashboard providing surgery-pipeline visibility per center plus aggregated KPIs across the portfolio. RCM companies serving ASC clients can deploy DataLily AI as a white-label execution layer alongside the Rose intelligence layer.

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