Welcome to

Dr. Prasenjit Mitra

Dr. Prasenjit Mitra

Associate Professor · PGIMER Chandigarh

PregaMind EV-OMICS

PregaMind EV-OMICS

Extracellular Vesicles · Brain · Maternal Health

PreciMind Intelligence

PreciMind Intelligence

Clinical Reasoning · Diagnostics · Frameworks

PM Lab Suite

PM Lab Suite

Precision Tools · Quality Analytics

Extracellular Vesicles · Clinical Intelligence · Precision Medicine

PM Lab Suite·Live·Level 5

PreciMind Delta Check Intelligence System (PM-DCIS)

Clinical and quality intelligence for detecting significant and implausible changes in serial laboratory results — delta computation, four-tier classification, error detection, RCV integration, and trend analysis.

Back

PM-DCIS implements four-tier delta classification (Normal Variation | Significant Change | Critical Delta | Implausible Change), RCV-integrated significance testing, time-normalised rate-of-change, context-adjusted error suspicion scoring, multi-point trend analysis with velocity detection, and downloadable clinical decision reports. Compliant with CLSI delta check standards and Fraser biological variation methodology.

Primary Inputs

Analytical & Biological CV

If not provided, analyte-matched defaults from the EFLM/Fraser database are used.

Fixed Thresholds (optional)

Lab-defined fixed delta thresholds evaluated alongside the RCV model.

Serial Data Points

0 added

Add multiple time points for longitudinal trend analysis and pattern detection.

Classification Tiers

Normal Variation:Within biological + analytical CV
Significant Change:Exceeds RCV threshold
Critical Delta:Exceeds 3× RCV or fixed critical limit
Implausible Change:Physiologically impossible — verify specimen

Ready for analysis

Enter R1, R2, and time interval, then run the PM-DCIS pipeline to receive four-tier delta classification, error detection, clinical interpretation, and trend analysis.