July 10, 2026

AI-Driven Quality Improvement for Colonoscopy Surveillance: 97.5% Recall Resolution in Adenoma Patients Across 1.2 Million Procedures

DDW 2026 Research Summary · Latica & Gastro Health

Presented at DDW 2026 (Digestive Disease Week) · Community Gastroenterology Practice Group, Multi-State (Gastro Health) · AI Partner: Latica

1.2M Colonoscopy procedures analyzed
97.5% Recall resolution in adenoma patients (retrospective, up from 87%)
93.2% Of all procedures achieved a resolved recall plan
100% Scheduling completion for the 2,000 prioritized overdue high-risk adenoma patients (2025)

The Problem

Missing documented recall intervals create gaps in colorectal cancer screening and prevention. At Gastro Health, a multi-state community gastroenterology practice, more than 250,000 of 1.2 million procedures (22.3%) lacked a documented recall plan. Latica and Gastro Health evaluated whether a data informed intervention process could systematically close this gap and align recall intervals with clinical guidelines with particular focus on higher-risk adenoma patients.

The AI Intervention

Latica’s algorithm automatically extracted adenoma findings from pathology reports for risk stratification and identified patients appropriately excluded from recall by analyzing physician notes. Recall resolution was defined as a documented recall date, a verified recall exclusion, or a future scheduled recall. The program, initiated in May 2024, combined two distinct patient populations. One analyzed retrospectively and one monitored prospectively:

Retrospective Cohort

802,446 historical procedures · 2017–2023

Historical procedures were reviewed using AI-prioritized lists stratified by adenoma burden and time-since-colonoscopy. Patient records were updated with guideline-based recall plans, and overdue patients were contacted and scheduled.

Prospective Cohort

393,406 new procedures · January 2024–present

Continuous AI monitoring of new procedures, with reports generated approximately one month post-procedure to surface cases requiring recall entry — preventing new documentation gaps from forming going forward.

Results

Retrospective Remediation (2017–2023 procedures)

MetricBeforeAfterChange
Overall cohort recall resolution77.7%94%+16.4% (p<0.001)
Adenoma subgroup (272,597 higher-risk patients)87%97.5%+10.5% (p<0.001)

The retrospective intervention resolved recall plans for 131,000 additional patients. Of the higher-risk overdue adenoma cohort, 3,000 prioritized patients achieved 100% scheduling completion in 2025, with intervention continuing for additional overdue patients.

Prospective Monitoring (Jan 2024–present procedures)

Continuous AI monitoring maintained a 91.5% recall resolution rate across new procedures overall, and 96.1% among new adenoma patients demonstrating that prospective surveillance sustains high resolution rates without requiring retrospective cleanup.

Combined Impact Across ~1.2 Million Colonoscopies

1,113,152 colonoscopies (93.2%) achieved a resolved recall plan across both cohorts combined. The remaining 6.8% (81,700 procedures) are still under ongoing intervention.

Why It Matters

This is, to Latica and Gastro Health’s knowledge, the first AI-enabled, EMR-integrated program to apply both systematic retrospective remediation and prospective monitoring across more than 1 million colonoscopies to improve recall documentation and scheduling. The result: near-complete recall resolution for adenoma patients and timely scheduling pathways for high-risk individuals in a real-world community practice setting. Large language models, now being implemented, will further enhance adenoma risk stratification and advance precision care navigation in community gastroenterology.

Frequently Asked Questions

What is the difference between the retrospective and prospective patient groups in this study?

The retrospective cohort was 802,446 historical procedures (2017–2023) reviewed after the fact to remediate missing recall plans. The prospective cohort was 393,406 new procedures (Jan 2024–present) continuously monitored by AI in near-real time to prevent gaps before they occur.

What recall resolution rate did the AI intervention achieve in adenoma patients?

97.5% in the retrospective adenoma subgroup (up from 87%, p<0.001), and 96.1% among adenoma patients under ongoing prospective monitoring.

How many total colonoscopy procedures were included?

Approximately 1.2 million, combining the 802,446-procedure retrospective cohort and the 393,406-procedure prospective cohort. 93.2% (1,113,152 procedures) achieved a resolved recall plan.

Who conducted this research?

Latica., in partnership with Gastro Health (a multi-state community gastroenterology practice). Findings were presented at DDW 2026.

Source: “AI-Driven Quality Improvement for Colonoscopy Surveillance: Achieving 97.5% Recall Resolution in Adenoma Patients Across 1.2 Million Procedures.” Presented at Digestive Disease Week (DDW) 2026. Latica.AI & GastroHealth.“At Forefront, every decision we make is guided by one goal: to elevate the experience of both our patients and our physicians.” said Betsy Wernli, President of Forefront Dermatology. “Partnering with Latica enables us to advance this mission even further – leveraging data to drive better insights, optimize care, and improve outcomes in conjunction with our physician-led, best-in-class clinical quality program Forefront IQ”

About Latica

Latica (formerly Lynx.MD) delivers a transformative healthcare data ecosystem that accelerates medical research through secure collaboration and advanced insights. Founded by a visionary team of healthcare and technology innovators, Latica’s best-in-class data network empowers providers, researchers, and life science organizations to unlock actionable insights from high-quality, high-impact structured and unstructured data. Committed to driving breakthroughs in healthcare innovation and care delivery, Latica’s network is improving outcomes and shaping the future of medicine.