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Administrative load is consuming clinical time.
Pre-op to post-op workflows such as referral coordination, documentation, coding, and case logging are highly manual and take away from time spent on patient care.
Surgical practices run on fragmented data and manual workflows. The result is administrative burden, revenue loss, and time out of the OR. Panel does the work, so surgeons don't have to.
Clinical data in surgical practices is fragmented and unstructured. Workflows built around it are manual, error-prone, and time-intensive. The downstream effects are measurable: excess administrative burden, reduced OR time, and systematic revenue loss.
Pre-op to post-op workflows such as referral coordination, documentation, coding, and case logging are highly manual and take away from time spent on patient care.
Referrals arrive in multiple formats, EMRs often don't talk to each other, and operative notes are free text. Fragmentation makes data visibility and usability difficult.
Referrals go cold from lack of follow-up, while patients who are not pre-qualified create bottlenecks. Weak documentation and missed codes reduce revenue potential. Note amendments cause delays in revenue earned.
Panel deploys AI agents around perioperative workflows that each surgical practice runs. Each agent, purpose-built for its surgical subspecialty, feeds a centralized ledger to provide unmatched visibility into clinical activity.
Most surgical practices lose revenue before patients walk through the door. Referrals stack up and triage is inconsistent. Patients arrive at clinic without the pre-qualification that makes them an actual surgical candidate, and the slot is wasted.
Panel's Referral Manager agent runs the full pre-clinic loop: capture referrals from any source, extract the clinical facts, triage by complexity and urgency, and reach out to the patient by SMS or call to close the prerequisite gaps. The result is a denser, better-qualified clinic, and a higher consult-to-surgery yield.
Revenue leakage exists due to gaps between what a surgeon does and what the surgeon wrote down. Note Pilot reads the operative note, suggests the CPT and ICD-10-CM codes the case supports, and — critically — flags the documentation language that has to be present for those codes to pass an audit.
Every suggestion cites the exact phrase in the note, the policy it maps to, and the dollar impact of either accepting or declining the amendment. Note Pilot ensures quality documentation to streamline the coding process.
PREOP DX: Right breast cancer, IDC. Planned skin-sparing mastectomy with immediate implant-based reconstruction.
PROCEDURE: Patient was positioned supine with arms abducted. Preoperative markings were confirmed. Following completion of skin-sparing mastectomy by the breast surgery team, the plastic surgery team assumed the field.
The pectoralis major muscle was elevated off the chest wall from its lateral border. Acellular dermal matrix (ADM) was sutured to the inferior pectoralis edge and secured to the inframammary fold, creating a complete submuscular-ADM pocket.
A 500 cc smooth round tissue expander was placed within the pocket and inflated to 150 cc with saline under direct visualization. The device was confirmed to be in appropriate position with no malrotation.
The pocket was irrigated with triple-antibiotic solution. Drains were placed. The skin flaps were assessed for perfusion and closed in layers without tension.
EBL: 35 mL. IMPLANT: Tissue expander, 500 cc, lot documented in implant log.
Residents can spend over 3 hours per week submitting case logs, creating administrative burden and reducing time for resident education. Case under-reporting is widespread and significant, creating audit risk for programs and documentation gaps that can harm residents.
Resident Log Assistant reads and parses each completed operative note, maps key details to the accreditation taxonomy, and auto-populates submissions via a browser extension. Panel ensures human in-the-loop involvement, with residents reviewing and confirming each submission.
Physicians struggle to understand their own clinical footprint due to fragmentation of case data across sites and EMRs. Panel Case Intelligence is a single source of truth that unifies cross-site case data, providing a queryable case history that reveals insights about productivity, procedures, and techniques.
The tool then helps automate downstream workflows such as case analysis, research, and credentialing submission, saving physicians hours of time every month.
Panel is bought by health systems, used by surgical teams, and trusted by administrators.
Surgical administrative workflows are incredibly inefficient, requiring significant manual work and handling of disparate, unstructured data. This creates lost revenue, lost time, and a lack of data insight through bandwidth bottlenecks and human error. Panel solves this problem through AI-powered automation and data structuring.
Panel sits alongside the EMR and the surgical workflow. We start read-only on the data you already have, such as operative notes and referral feeds.
Give us read-only access to one site's operative notes and referral feed. We'll set up Panel to save you time and money.