Inferensys

Glossary

Master Protocol Screening

An automated process designed to evaluate a single patient against the multiple sub-study arms of a master protocol, such as a basket or umbrella trial, simultaneously.
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CLINICAL TRIAL AUTOMATION

What is Master Protocol Screening?

An automated process that simultaneously evaluates a single patient's clinical profile against the multiple sub-study arms of a master protocol, such as a basket or umbrella trial, to identify the most appropriate treatment pathway.

Master Protocol Screening is the automated, parallel evaluation of a single patient against all distinct sub-study arms within a master protocol. Unlike traditional trial matching, which assesses eligibility for one trial at a time, this process uses a unified computational engine to parse a patient's structured and unstructured data against the unique inclusion and exclusion criteria of each arm simultaneously, accelerating precision medicine enrollment.

This screening architecture relies on criteria decomposition to isolate arm-specific requirements and a phenotype execution engine to resolve complex logical and temporal constraints across the protocol. By generating a ranked list of arm-level eligibility scores, it enables clinical coordinators to immediately direct a patient to the most therapeutically relevant sub-study, optimizing both recruitment velocity and protocol-specific cohort identification.

ARCHITECTURAL COMPONENTS

Key Features of Master Protocol Screening

Master protocol screening requires a specialized architecture that evaluates a single patient against multiple sub-study arms simultaneously, leveraging shared control groups and biomarker-driven matching logic.

01

Multi-Arm Parallel Evaluation

Unlike traditional trial matching which evaluates a patient against a single protocol, master protocol screening executes concurrent eligibility checks across all active sub-study arms in a single pass. The engine decomposes each arm's criteria into atomic predicates, evaluates shared inclusion factors once, and branches only on arm-specific biomarkers. This eliminates redundant data retrieval and reduces screening latency by 40-60% compared to sequential arm-by-arm evaluation.

02

Biomarker-Driven Arm Assignment

Master protocols—particularly umbrella and basket trials—use molecular biomarkers as the primary routing logic. The screening system must:

  • Parse genomic variant data (e.g., EGFR exon 19 deletion, BRAF V600E)
  • Cross-reference against each arm's molecular eligibility criteria
  • Handle complex Boolean logic (e.g., "EGFR+ AND ALK- OR ROS1+")
  • Resolve conflicting matches when a patient qualifies for multiple arms using predefined prioritization rules based on arm capacity, randomization ratio, or sponsor preference
03

Shared Control Group Logic

A defining feature of master protocols is the common control arm shared across multiple experimental arms. The screening engine must:

  • Identify patients eligible for the control arm independently of experimental arm eligibility
  • Apply randomization-aware filtering to ensure control-eligible patients are not excluded by experimental arm criteria
  • Maintain proper stratification across arms to preserve statistical validity
  • Track control arm enrollment caps separately from experimental arm accrual targets
04

Dynamic Arm Status Awareness

Master protocols are living documents where sub-study arms frequently open, close, or suspend enrollment independently. The screening engine must maintain real-time awareness of:

  • Arm accrual status: Closed to enrollment, temporarily suspended, or actively recruiting
  • Slot availability: Remaining enrollment capacity per arm and per site
  • Protocol amendments: Mid-study changes to eligibility criteria that must be immediately reflected in screening logic
  • Adaptive randomization ratios: Shifting allocation probabilities based on interim efficacy analyses
05

Hierarchical Criteria Inheritance

Master protocol screening uses an object-oriented criteria model where:

  • Master-level criteria (e.g., disease type, age range, ECOG status) are defined once and inherited by all sub-arms
  • Arm-specific criteria (e.g., biomarker status, prior therapy lines) extend the base definition
  • The engine evaluates master criteria first as a pre-filter gate, then branches to arm-specific logic only for patients who pass
  • This architecture prevents criteria duplication, simplifies amendment management, and ensures consistency across the protocol
06

Arm Conflict Resolution

When a patient qualifies for multiple experimental arms simultaneously, the screening engine must execute a deterministic conflict resolution strategy. Common approaches include:

  • Sponsor-defined priority: Pre-ranked arm preference based on portfolio strategy
  • Biomarker specificity: Assign to the arm with the most restrictive molecular match
  • Randomization-weighted: Allocate based on current randomization ratios to maintain balance
  • Site-level capacity: Route to arms with available slots at the patient's preferred site
  • Patient preference: Present all qualifying arms and allow informed choice where protocols permit
MASTER PROTOCOL SCREENING

Frequently Asked Questions

Explore the core concepts behind automated patient evaluation for complex clinical trial designs, including basket and umbrella trials.

Master Protocol Screening is an automated computational process that simultaneously evaluates a single patient's clinical profile against the multiple, distinct sub-study arms of a master protocol, such as a basket or umbrella trial. Unlike traditional trial matching, which assesses eligibility for one trial at a time, this process uses a hybrid matching architecture to parse a patient's structured and unstructured data once and then execute multiple computable phenotype definitions in parallel. The system decomposes each sub-study's complex inclusion and exclusion criteria into atomic logical components. It then validates these components against the patient's longitudinal patient record, checking for specific biomarker-driven screening requirements like EGFR mutations or PD-L1 expression levels, concomitant medication conflicts, and temporal constraints such as disease progression timelines. The result is a ranked list of sub-studies for which the patient is potentially eligible, dramatically accelerating recruitment for complex, multi-arm clinical research programs.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.