Research Institutions

Clinical Research Platform with Regulatory Compliance Built-In

Research institutions conducting clinical trials, epidemiological studies, or health services research need robust data management, patient tracking, and regulatory compliance. Doccure provides research-grade infrastructure.

Clinical Trial Management

Protocol management (inclusion/exclusion criteria, visit schedules, data collection forms). Randomization and blinding capabilities. Adverse event reporting with automatic safety alerts. Regulatory documentation (informed consent, protocol deviations, audit trails). Multi-site trial coordination—central data repository, standardized data collection across sites.

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Data Collection & Quality

Electronic Case Report Forms (eCRFs) with built-in validation rules. Source data verification—compare eCRF to patient’s EMR. Query management for data discrepancies. Missing data tracking and follow-up. Real-time data monitoring—identify enrollment issues, protocol violations, safety signals early.

AI Analysis

  • Pattern recognition across anonymized patient datasets
  • Risk scoring algorithms for major conditions
  • Vital trend detection per individual
  • Outcome prediction via similar patient profiles

Patient Recruitment & Retention

Identify eligible patients from EMR database using AI screening. Automated patient outreach and consent process. Visit reminder system reduces missed appointments. Telemedicine visits for remote participants (increases retention, expands geographic reach). Participant stipend management and tracking.

Predictions Generated Disease Risk Scoring

  • Hypertension (12-month forecast)
  • Diabetes onset risk
  • Cardiac / stroke probability
  • Mental health decline alert

Regulatory Compliance

IRB/IEC submission documentation. 21 CFR Part 11 compliance (electronic signatures, audit trails). HIPAA/GDPR data protection. GCP (Good Clinical Practice) standards adherence. Audit-ready documentation—inspectors access complete audit trails instantly.

Predictions Generated Disease Risk Scoring

  • Hypertension (12-month forecast)
  • Diabetes onset risk
  • Cardiac / stroke probability
  • Mental health decline alert

Data Export & Analysis

De-identified data export for statistical analysis. Integration with R, SAS, STATA, Python for advanced analytics. Publication-ready tables and figures. Data sharing with regulatory authorities (FDA, EMA).

AI Analysis

  • Pattern recognition across anonymized patient datasets
  • Risk scoring algorithms for major conditions
  • Vital trend detection per individual
  • Outcome prediction via similar patient profiles

Real-World Evidence (RWE) Studies

Leverage de-identified EMR data from thousands of patients. Observe treatment patterns, outcomes, side effects in real-world settings. Faster, less expensive than traditional RCTs. Supports regulatory submissions, post-market surveillance.

Predictions Generated Disease Risk Scoring

  • Hypertension (12-month forecast)
  • Diabetes onset risk
  • Cardiac / stroke probability
  • Mental health decline alert