TEMECULA, Calif.--(BUSINESS WIRE)--#mdstaff--Applied Statistics and Management Inc. (ASM) is proud to announce that its flagship credentialing solution, MD-Staff, has once again been named Best in KLAS for Credentialing. This marks the sixth consecutive year MD-Staff has received this prestigious industry honor, underscoring its continued leadership and unwavering commitment to excellence in healthcare credentialing technology.
The Best in KLAS Awards recognize top-performing healthcare technology solutions based solely on feedback from healthcare professionals. MD‑Staff achieved the highest overall performance score in the credentialing category, earning exceptional marks across key customer experience pillars: Culture: A, Loyalty: A+, Operations: A-, Product Quality: A-, Relationship: A, and Value: A in the 2026 Best in KLAS Awards: Software and Services Report.
“Earning Best in KLAS for the sixth year in a row is an extraordinary honor,” said Nick Phan, President and CEO of ASM. “This recognition reflects the trust our clients place in MD-Staff and our team’s continued commitment to innovation. By combining deep industry expertise with advanced automation and AI-driven intelligence, we are helping healthcare organizations credential providers faster, more accurately, and with greater confidence than ever before.”
According to 2026 KLAS data, MD-Staff received outstanding feedback from customers, including:
- 97% of respondents stating MD-Staff keeps all promises
- 97% indicating MD-Staff is part of their long-term plans
- 100% saying they would buy MD-Staff again
Purpose-Built AI That Elevates Credentialing, Backed by Expert Support
MD-Staff’s continued success is driven in part by its thoughtful use of artificial intelligence and intelligent automation, purpose-built for the real-world complexities of medical staff credentialing. These AI-enhanced capabilities help organizations reduce administrative burden, improve data integrity, and support confident decision-making while remaining firmly guided by the expertise of credentialing professionals.
Key capabilities include:
- Intelligent Data Matching & Validation: AI analyzes provider data to identify discrepancies, duplicates, gaps, and inconsistencies, helping ensure complete and accurate records.
- Workflow Optimization: Smart automation helps prioritize tasks, reduce bottlenecks, and keep credentialing processes moving efficiently.
- Enhanced Data Accuracy: Intelligent tools support consistent, reliable provider data throughout the credentialing lifecycle.
- Actionable Insights: Embedded intelligence helps teams focus attention where it matters most, supporting timely and informed decisions.
Together, MD-Staff’s intelligent automation and experienced customer support work seamlessly within a trusted credentialing solution strengthening, not replacing, the expertise of credentialing professionals and reinforcing MD-Staff’s long-standing commitment to customer success.
The 2026 Best in KLAS Award further cements MD-Staff’s reputation as the gold standard for credentialing solutions in healthcare.
For more information about MD-Staff or how it can transform your credentialing operations, visit www.mdstaff.com.
About ASM
Founded in 1982 and headquartered in Temecula, CA, Applied Statistics & Management, Inc. (ASM) is dedicated to the development and support of software solutions that leverage the latest technologies, including artificial intelligence and advanced analytics, for the healthcare industry. ASM’s flagship product, MD-Staff, is the most advanced credentialing, privileging, and provider information management platform. Used by over 3,000 facilities worldwide, ASM provides integrated credentialing solutions that give medical facilities a single-source database for provider information. Our products are designed to eliminate redundancy by automating and intelligently managing credentialing, privileging, OPPE, FPPE, and peer review processes, helping organizations improve accuracy, efficiency, and compliance.
About KLAS Research
KLAS is a research and insights firm on a global mission to improve healthcare. Working with thousands of healthcare professionals and clinicians, KLAS gathers data and insights on software and services to deliver timely reports and performance data that represent provider and payer voices and act as catalysts for improving vendor performance. The KLAS research team publishes reports covering the most pressing questions facing healthcare technology today, including emerging technology insights, that provide early insights on the future of healthcare technology solutions. KLAS also fosters measurement and collaboration between healthcare providers and payers and best practice adoption. Learn more at klasresearch.com.
Contacts
Rebecca Paredez
(951) 334-4823
