💓 Pulse - AI-Powered Clinical Research

Close Clinical Studies 60% Faster

Pulse is an intelligent platform for clinical study protocol management, data review, and anomaly detection—designed to dramatically accelerate study closure while ensuring regulatory compliance.

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The Challenge

Clinical Studies Take Too Long to Close

The traditional approach to clinical study management is plagued by inefficiencies

⏰

Months of Delays

Average clinical study closure takes 6-12 months due to data discrepancies, query resolution, and manual review processes.

📊

Data Quality Issues

Up to 20% of clinical data contains anomalies that go undetected until late stages, causing expensive rework.

👁️

Manual Review Bottlenecks

Clinical data managers spend 70% of their time on repetitive data review tasks instead of critical analysis.

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Escalating Costs

Every day of delay costs pharmaceutical companies $600K-$8M depending on the drug's potential market.

The Solution

AI That Understands Clinical Data

Pulse combines advanced machine learning with deep clinical domain expertise

Pulse
Protocol Management
Data Review
Anomaly Detection
Compliance
Core Capabilities

Powerful Features for Clinical Excellence

🔍

Intelligent Anomaly Detection

AI-powered engine that continuously monitors clinical data for inconsistencies, outliers, and protocol deviations in real-time.

  • Pattern recognition across multi-dimensional datasets
  • Predictive anomaly scoring with confidence levels
  • Automatic flagging and prioritization
  • Cross-site and cross-patient correlation analysis
📋

Protocol Management

Centralized platform for creating, versioning, and managing clinical study protocols with AI-assisted optimization.

  • Version control and audit trails
  • Protocol deviation tracking
  • Automated compliance checking
📈

Smart Data Review

Automated data review workflows that prioritize critical items and reduce manual effort by up to 80%.

  • Risk-based monitoring dashboards
  • Intelligent query generation
  • Automated data reconciliation
⚡

Accelerated Study Closure

Streamlined close-out processes with automated checklists, status tracking, and regulatory-ready documentation.

  • Close-out progress tracking
  • Automated documentation generation
  • Regulatory submission support
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Compliance & Security

Built-in regulatory compliance features for FDA 21 CFR Part 11, ICH-GCP, GDPR, and HIPAA requirements.

  • Complete audit trail
  • Role-based access control
  • Electronic signatures
🔗

Seamless Integration

Connect with your existing EDC, CTMS, eTMF, and other clinical systems through robust APIs and pre-built connectors.

  • EDC system integration
  • CTMS connectivity
  • HL7 FHIR support
Deep Dive

AI-Powered Anomaly Detection

Our proprietary anomaly detection engine uses advanced machine learning algorithms trained on millions of clinical data points to identify issues that human reviewers often miss.

📉

Statistical Outliers

Detect values outside expected ranges using adaptive thresholds that learn from study-specific patterns.

🔄

Temporal Inconsistencies

Identify impossible timelines, backdated entries, and suspicious timing patterns across visits.

🔗

Cross-Field Correlations

Spot logical inconsistencies between related data points (e.g., pregnancy in male patients).

📊

Site-Level Patterns

Detect unusual patterns at specific sites that may indicate data quality issues or fraud.

Anomaly Dashboard 🟢 Live
1,247 Records Analyzed
23 Anomalies Found
98.2% Confidence
Critical Site 042: Unusual consent date pattern
Warning Patient 1087: Lab value outlier
Info Protocol deviation detected
Regulatory Excellence

Built for FDA Compliance

Pulse is designed from the ground up to meet the strictest regulatory requirements, ensuring validity, correctness, and complete compliance throughout your clinical studies.

🏛️
Primary Standard

FDA 21 CFR Part 11

Electronic Records and Electronic Signatures

Full compliance with FDA regulations governing electronic records, ensuring your clinical data has the same legal standing as paper records.

✓
§11.10 Controls for Closed Systems System validation, audit trails, operational system checks, and authority controls
✓
§11.30 Controls for Open Systems Document encryption, digital signatures for external transmissions
✓
§11.50 Signature Manifestations Printed name, date/time, and meaning of signature (approval, review, responsibility)
✓
§11.70 Signature/Record Linking Electronic signatures linked to records to prevent falsification
✓
§11.100-300 Electronic Signatures Unique user identification, signature components, and biometric controls
🌍

ICH E6(R2) Good Clinical Practice

International Conference on Harmonisation

Adherence to internationally recognized ethical and scientific quality standards for clinical trials.

✓
Section 5.5 Trial Management & Quality Risk-based monitoring and data quality assurance
✓
Section 5.18 Monitoring Centralized monitoring capabilities for remote data review
✓
Section 8 Essential Documents Complete document management and retention
📋

FDA Guidance Documents

Industry Guidelines & Best Practices

Alignment with FDA's guidance documents for computerized systems in clinical investigations.

✓
Computerized Systems in Clinical Investigations Data integrity, system access controls, and audit trails per FDA guidance
✓
Data Integrity & ALCOA+ Principles Attributable, Legible, Contemporaneous, Original, Accurate data standards
✓
Electronic Source Data in Clinical Investigations Direct data entry and source data verification capabilities
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Data Privacy & Security

HIPAA, GDPR & Global Standards

Comprehensive data protection meeting international privacy requirements.

✓
HIPAA Security Rule Administrative, physical, and technical safeguards for PHI
✓
GDPR Article 32 Security of processing, encryption, and pseudonymization
✓
SOC 2 Type II Independent verification of security controls
✅

Fully Validated & Audit-Ready

Pulse undergoes rigorous validation per GAMP 5 Category 4 guidelines, with complete IQ/OQ/PQ documentation, validated algorithms, and comprehensive change control procedures. Our validation package includes:

  • User Requirements Specification (URS)
  • Functional Specifications (FS)
  • Design Specifications (DS)
  • Installation Qualification (IQ)
  • Operational Qualification (OQ)
  • Performance Qualification (PQ)
  • Traceability Matrix
  • Risk Assessment Documentation
ROI

The Business Impact

Quantifiable results that transform your clinical operations*

⏱️
60%

Faster Study Closure

Reduce time from last patient out to database lock and study closure

💵
$2M+

Cost Savings per Study

Through reduced manual effort, fewer queries, and faster timelines

🎯
95%

Anomaly Detection Rate

Catch data issues early before they become costly problems

👥
80%

Less Manual Review

Free your team to focus on high-value analysis and decision-making

Use Cases

Built for Clinical Research

💊

Phase II-IV Clinical Trials

Accelerate drug development with real-time data quality monitoring and intelligent anomaly detection across all trial phases.

🏥

Multi-Site Studies

Identify site-level data quality variations and ensure consistency across geographically distributed research sites.

📱

Decentralized Trials

Manage complex data streams from remote monitoring devices, ePRO systems, and home healthcare visits.

🧪

Real-World Evidence Studies

Handle diverse real-world data sources with automated quality checks and anomaly detection.

Research

Advancing Clinical AI

Our team contributes to cutting-edge research in clinical AI and natural language processing

📄 Technical Paper

Efficient Clinical Summarization: LoRA Adaptation of Fine-Tuned Models

Vivek Tiwari • Stanford University

This research explores parameter-efficient methods for clinical documentation summarization. Using the AGBonnet dataset (30,000 clinical cases), we demonstrate that Low-Rank Adaptation (LoRA) applied to fine-tuned models achieves 98% of full fine-tuning performance while training only 0.44% of parameters (1.77M vs 406M). This enables resource-efficient deployment of clinical summarization in real-world healthcare environments.

98% Performance retained
0.44% Parameters trained
30K Clinical cases

Note: This research focuses on clinical summarization techniques and is related to, but distinct from, the Pulse platform's study management capabilities.

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