ASCO’s CancerLinQ launched the SmartLinQ QOPI Certification Pathway, an application that allows oncology practices to automate quality measure tracking and reporting for participation in ASCO’s Quality Oncology Practice Initiative Certification Program, a three-year certification recognizing practices’ commitment to high-quality care for outpatient oncology practices.
Since 2019, SmartLinQ has enabled CancerLinQ practices to automate their quality activities, derive actionable insights from real-world patient data, and benchmark their care against the CancerLinQ network. The new SmartLinQ QOPI Certification Pathway was recently piloted at four of CancerLinQ’s more than 100 subscribing practices, enabling them to reduce staff time and expenses for quality reporting for QOPI Certification. It is now available for re-certification and maintenance submissions for all QOPI Certified CancerLinQ subscribers.
SmartLinQ’s benefits stem from the automation of quality management functions, beginning with data collection. CancerLinQ automatically and securely takes in and harmonizes and codifies the data from practices’ electronic health record systems, eliminating the need for manual chart abstraction for quality programs like QOPI Certification. New Mexico Cancer Center, one of the SmartLinQ QOPI Certification Pathway pilot practices, saved approximately 100 hours of staff time when using SmartLinQ to automate its recertification for the QOPI Certification Program.
Beyond data abstraction and automated quality reporting for QOPI Certification, SmartLinQ enables practices to:
Track progress daily against a broad set of quality measures, both for the practice overall and for specific sites and individual physicians
Benchmark care against peers, by querying de-identified patient data on 1.5 million real-world cancer patient records in the CancerLinQ database
Identify “actionable patients” who still need specific care or treatment to comply with quality standards, creating opportunities to proactively improve care
Identify and fix data quality issues, such as missing or inaccurate data in patients’ EHRs.
