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Overview
Saama Technologies applies artificial intelligence to clinical trial data management, cleaning and reconciling study data automatically. Founded in 1997 in California, its Smart Data Quality products cut the manual query burden that slows trial closeout. Large pharmaceutical sponsors use the platform across hundreds of studies.
News
Architecting High-Velocity Healthcare Intelligence: Moving from Clinical Support to Total Orchestration
Clinicians are burned out today as they spend too much time on their screens instead of patients- not because they care about their patients' well-being. First generation Clinical Decision Support Systems (CDSS) were meant to alleviate clinician burdens b
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Report
Why Metadata Reuse Breaks at Scale in Global Study Builds
The afternoon that costs you four months. Why Metadata Reuse Breaks at Scale in Global Study Builds Meta description: Most sponsors already have a global metadata library. Far fewer have one their study teams actually build from. Here's where reuse breaks
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Report
The Smarter Way to Code: A Buyer's Guide to Medical Coding in Clinical Trials
Somewhere in every clinical trial, a patient tells an investigator they have a "splitting headache." Another says their head is "pounding." A third calls it "the worst migraine of my life." Three patients, three phrasings, one medical concept. Multiply th
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Why Reviewing Labs and Adverse Events in Isolation Is a Safety Risk
Labs and adverse events (AEs) are two views of the same patient. When medical monitors, safety reviewers, or CRAs assess them through separate workflows - separate triggers, separate thresholds, separate sign-offs - the review can miss the pattern that on
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Why Auto-Encoding Algorithms Still Require Manual Cleanup
Every few months, a new vendor promises a "zero touch" clinical coding automation pipeline: feed in raw text, let the algorithm match it against MedDRA coding or the WHO Drug Dictionary, and watch the manual work disappear. It's a clean pitch. Real trial
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