Brim Analytics launches live AI chart review series with Vanderbilt case study

Brim Analytics will kick off Brim Field Notes on Oct. 23 with Vanderbilt University Medical Center nurse leader Beth Bass, highlighting how AI chart abstraction cut pediatric preoperative review time while matching nurse practitioner decisions 99% of the time. The event is aimed at hospital leaders weighing whether AI can speed chart review without sacrificing clinical accuracy.

Why it matters: - Hospital teams are under pressure to review more charts faster without losing clinical accuracy. - Vanderbilt’s example shows one way AI chart abstraction can reduce manual review work in a pediatric surgery workflow. - The event is aimed at operations leaders evaluating whether AI can move from pilot to daily use.

What happened: - Brim Analytics announced the first session of Brim Field Notes, a new live conversation series focused on real-world AI deployments in health systems. - The inaugural session is set for Oct. 23 at 12 p.m. CT. - Beth Bass, MSN, APRN, FNP-BC, NE-BC, of Vanderbilt University Medical Center will join Brim Analytics CEO Dan Fabbri, PhD. - The discussion will cover how Vanderbilt’s preoperative assessment team at Monroe Carell Jr. Children’s Hospital at Vanderbilt used Brim to streamline pediatric chart review.

The details: - Vanderbilt’s centralized preoperative assessment clinic reviews about 450 upcoming pediatric surgical cases each month. - Nurse practitioners screen children for whether they are too high risk for a low-acuity ambulatory surgery center and need a higher-acuity campus. - The screening process uses dozens of clinical criteria, including cardiac and respiratory conditions, genetic syndromes, implanted devices, and age-specific BMI thresholds. - Much of that information sits in unstructured clinical notes. - Before Brim, the team reviewed every chart manually. - With Brim, high-risk indicators are abstracted automatically and paired with supporting chart text. - An advanced practice provider still reviews every scheduled patient. - Detailed review now focuses on fewer than 50 flagged cases a month. - Over a four-month evaluation, Brim’s results matched nurse practitioner review 99% of the time. - Beth Bass said nurse practitioners used to spend hours searching charts for critical details, and Brim now surfaces relevant information so the team can focus on validation and clinical decisions. - The live series is designed to show how health system teams translated existing clinical criteria into structured abstraction logic, validated results against nurse review, and produced accurate outputs quickly. - Event details: the session is titled “Brim Field Notes: How VUMC Cut Chart Review Time for Surgery Rescheduling.” - The event is free and will be held live online. - Registrants who cannot attend live will receive the recording. - Questions for the speakers can be submitted in advance during registration. - Registration is available at More information.

Between the lines: - Brim is positioning the series as proof points, not a generic AI showcase. - Fabbri said health system leaders do not need another AI pilot and want examples from teams already measuring results in daily operations. - The Vanderbilt case gives Brim a concrete workflow story: AI handles the first pass, clinicians keep final judgment, and the institution measures agreement. - The 99% agreement rate is the key credibility metric in the announcement.

What's next: - Brim Field Notes will continue as a monthly series. - Health system leaders interested in chart review automation can use the Oct. 23 session as a template for evaluating implementation, validation, and workflow impact. - Registrants will be able to access a recording if they miss the live discussion.

The bottom line: - Brim Analytics is using Vanderbilt’s pediatric preoperative workflow to argue that AI chart abstraction can save clinician time while preserving near-human accuracy.