Clinical work & outcomes · Patent pending
Make clinical work visible today. Build the evidence for outcome-based payment tomorrow.
Two connected capabilities
From outcomes to payment
See how a synthetic HbA1c improvement is evaluated against the contract’s target.
Connect work valuation with outcome evidence to inform provider and payer decisions. Outcome comparisons alone do not establish treatment effectiveness.
Work RVUs quantify the physician-work component of a service. OVUs—outcome value units—are Lucentin’s proposed framework for agreed outcomes, not an established reimbursement standard. Payments depend on contract terms.
Why Lucentin? / Research motivation
Independent research highlights discrepancies between surgical documentation and billing, alongside limitations in AI-generated codes. These findings motivate our effort to evaluate structured, AI-assisted coding review.
AAHS · 2026 conference abstract
In a retrospective study of 50 operations, 24.6% of billed CPT codes lacked documentation support and 74 codes were omitted despite procedural descriptions. Reported ChatGPT coding accuracy rose from 30.5% initially to 54% with revised prompting and 76% with a reference manual. Errors and overcoding remained.
Read the AAHS hand-trauma abstractGlobal Spine Journal · Published online 2023; 2025 issue
A retrospective study tested GPT-4 on 50 operative notes against billing-department codes. Its best full-dataset trial, supplied with the possible codes, reported AUROC 0.87 and AUPRC 0.67. These are classification metrics, not 87% case-level coding accuracy. The authors caution that human supervision remains necessary.
Read Artificially Intelligent Billing in Spine SurgeryNeither study evaluated Lucentin. Their findings do not establish Lucentin’s accuracy, savings, clinical effectiveness, or superiority to human coding. Billing-department codes are also not necessarily an independently adjudicated reference standard. We plan to evaluate Lucentin using independently reviewed cases and report agreement, missing and extra codes, work-RVU differences, and review time, including failures and limitations. No results from that benchmark are claimed here.
What you can see today
Follow each result back to its inputs and rules.
Test outcome and payment rules using artificial data.
Live retrieval demonstrated with Epic’s non-production FHIR data.
Demonstrations use synthetic or non-production data; they are not clinical validation or Epic endorsement. Hospital deployment requires integration, security review, agreements, and validation.
Built around your decisions
Lucentin brings clinical work, outcomes, and payment into one conversation. Explore what that could mean for your organization through a private demonstration and a focused evaluation.
Evaluate how clinical work valuation can support service-line review and a clearer discussion of physician effort, documentation, and payment.
Can your team review the work performed with greater clarity and less administrative effort?
Explore a shared view of agreed care goals, measured results, and simulated payment evaluation using synthetic or non-production examples.
Can participating teams understand the outcome evidence and review exceptions consistently?
Meet the physician-engineer behind Lucentin, see the demonstrated capabilities, and discuss the customer problem, evaluation priorities, and path to adoption.
What evidence should support the next product, commercial, or partnership milestone?
Discuss a bounded evaluation around a public program’s goals for administrative efficiency, transparent review, and responsible use of resources.
What evidence would your program need to assess workflow fit, oversight, and value?
These are evaluation opportunities. Results depend on the agreed scope and evidence. No customer deployment, government endorsement, procurement eligibility, or guaranteed financial or clinical benefit is implied.
A clear pilot outline
Start with one service line or care program. Agree on what success means, evaluate a bounded set of examples, and review the findings together.
Discuss a paid pilotChoose the use case, participating reviewers, evaluation measures, deliverables, and decision the pilot should inform.
Confirm appropriate data access, institutional review requirements, responsibilities, and any security or integration prerequisites. Begin with synthetic examples where appropriate.
Assess agreed measures such as reviewer agreement, exceptions, review time, and workflow usability. Keep outcome-payment scenarios simulated within the initial evaluation.
Review a written findings summary, observed limitations, and recommendations for further evaluation or a deployment decision.
A defined organizational question and a clinical or operational sponsor. Data requirements are agreed privately after scoping; do not send patient information through this website or booking form.
Scope, fee, timeline, data protections, measures, and deliverables. No production integration or real-money outcome payment is assumed as part of an initial pilot.
Start with a private demonstration. Then define the right evaluation together.
Book a private demo
Built from experience
Amir Nasir, MD is a board-certified plastic and reconstructive surgeon, engineer, and Lucentin’s Founder & CEO. Through daily clinical practice and surgical practice leadership, he has worked firsthand with the software, workflows, and reimbursement systems that shape care.
That experience revealed an opportunity for fundamental change. He founded Lucentin to rethink how clinical work is captured, valued, and connected to outcomes—not simply add another layer to existing systems. The mission is to align the interests of patients, providers, health systems, and payers through more efficient workflows, lower costs, and payment models centered on meaningful care.
Lucentin was developed with that direction in mind: a more connected, transparent, and accountable healthcare system, aligned with patient and provider goals and the evolving requirements of the federal government and insurers.
Policy context: CMS interoperability and prior authorization requirements ↗See it in context
Book a 30-minute private demonstration with Amir to explore Lucentin’s capabilities and discuss your organization’s goals.
Book a private demoChoose a time on our Google booking page. A Google Meet link is generated after booking. No charge for the demonstration. Please do not include patient-identifiable information.