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Smart Data Quality (SDQ)

Transform Your Clinical Data Management Practices with AI

Accelerate data cleaning, medical coding, and time to query with a transformative AI engine from Saama, developed in collaboration with Pfizer and proven effective in accelerating the pharmaceutical company’s groundbreaking COVID-19 vaccine.

The Smart Data Quality (SDQ) solution “saved us an entire month,” says Demetris Zambas, Vice President and Head of Data Monitoring and Management at Pfizer. “It really has had a significant impact on the first-pass quality of our clinical data and the speed through which we can move things along and make decisions.”

Read more about the SDQ origin story.

How SDQ Changes the Game

Current, rules-driven approaches to clinical data management result in time-consuming reviews of vast amounts of data points, unmanageable query backlogs, inaccurate medical coding, and costly performance bottlenecks.

Saama solves all that with SDQ, by automating and accelerating your data management processes. With SDQ in place, you can instantly answer questions like these:

  • Is a concomitant medication consistent with an AE term?
  • Are duplicate medications given for the same condition?
  • Are related AEs, such as RECURRENT FEVER and UNKNOWN FEVER, of the same toxicity?
  • Are AE terms like DENTAL EXTRACTION linked to non-drug treatments?

Improve Medical Coding Accuracy

Despite the importance of medical coding during clinical trials, accuracy rates traditionally fall between 30-50% for adverse events (AE) and 50-60% for medications. Unclassified items must then go through another time-consuming manual query process for resolution.

SDQ’s medical coding module uses natural language processing (NLP) to auto-code AEs and medications. It can even auto-generate queries for items that can’t be properly coded.

The SCT workflow is extremely intuitive and, for the most part, automatic:

  • Terms from an EDC application, such as Oracle InForm or Medidata Rave, flow into SCT for auto-coding or querying
  • Deep learning models predict coding decisions for each term
  • A human user approves or rejects the proposed coding decisions
  • Approved terms flow back to the coder via import APIs or flat file downloads, creating a single source of all final coding decisions

Manage Data More Effectively with SDQ

Manage Data More Effectively with SDQ

To learn more about SDQ and arrange a demo, contact Saama today.

Terms & Conditions

By inquiring about Saama’s Database Lock in a Day, you agree to be contacted by Saama and to allow Saama to use, maintain, store, and protect your personal data in accordance with our Privacy Policy.

Eligibility details are for informational purposes only. Saama, in its sole discretion, will determine your eligibility based on the information you disclose as part of the intake process. If Saama determines that you are eligible to participate, you will be notified by separate email. Eligibility depends on certain criteria, such as the size of your company, the types of clinical trials you sponsor, and the number of patients in–and stages of–your current clinical trials.

By completing the request form, you represent that you have authority to proceed on behalf of your company. Should you agree to participate, you agree to reasonably cooperate with Saama in following the guidelines and procedures required for integrating, standardizing, and analyzing your data. Participation requires the use of our Smart Data Quality application, a technology-agnostic AI engine that sits on top of your current infrastructure. The application can be used immediately, and you’re only charged for the services you use based on a predetermined estimate.

Information you share with Saama during your participation may be anonymized and/or aggregated, and made available publicly in Saama marketing materials. This information may include: types of systems and processes involved, types of departments involved, and size and regional location of your company. Such information will never be directly associated with you, nor will you or your company be identifiable without express written permission.