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Converts clinical protocols into plain-language investigator summaries. Auto-generates patient consent form language from protocol synopsis.
01 PROBLEM STATEMENT
A pharmaceutical sponsor running multi-site Phase III trials faced recurring site initiation delays. Clinical protocols were highly technical and difficult for investigators to digest quickly. Patient consent forms required manual rewriting to match protocol language. Site staff spent weeks preparing for initiation visits. Protocol amendments triggered cascading consent form updates. Screen failure rates were elevated due to misunderstood eligibility criteria.
02 CURRENT CHALLENGES
Investigators struggled to digest complex technical protocols. Site initiation delayed by weeks on every amendment.
Patient consent forms written in technical language. Misunderstanding elevated and screen failure rates increased.
Protocol amendments triggered manual consent form updates across all active sites. Cascade effect overwhelmed teams.
Site staff spent weeks manually preparing investigator summaries. Time-consuming, inconsistent, and error-prone.
03 SOLUTION OVERVIEW
STAR Systems deployed AINE Clinical Protocol Summariser with CTMS API or document share for protocol ingestion. IRB/IEC submission portal for output formatting. Protocol amendment version tracking. Language: English primary, vernacular adaptation for Indian sites. CRA reviews all AI summaries before site distribution. Consent language reviewed by IRB coordinator. STAR updates for ICH E6(R3) guideline changes.
04 WORKFLOW PROCESS
Step 1 (Protocol Ingestion): Protocol ingested from CTMS or document share. Amendment version tracking maintained automatically across all active sites.
Step 2 (Investigator Summary): AI generates a plain-language investigator summary covering eligibility criteria, procedures, and safety requirements. Available within hours of ingestion.
Step 3 (Consent Form Language): Consent language generated directly from the protocol synopsis. Vernacular adaptation applied for Indian sites to ensure true patient understanding.
Step 4 (CRA Review): CRA reviews all AI-generated summaries before site distribution. Can edit or override any section to ensure accuracy and compliance.
Step 5 (IRB/IEC Submission): IRB coordinator reviews consent language. Output formatted for IRB/IEC portal submission with no manual reformatting required.
Step 6 (Guideline Updates): STAR updates the platform for ICH E6(R3) guideline changes. Templates refresh automatically to maintain ongoing compliance.
05 KEY FEATURES
Connects via CTMS API or document share. Protocol amendment version tracking maintained across all active sites automatically.
Converts complex clinical protocols into clear investigator summaries. Covers eligibility criteria, procedures, and safety requirements in readable language.
Consent language generated directly from protocol synopsis. Vernacular adaptation available for Indian sites to ensure genuine patient understanding.
Output formatted for IRB/IEC portal submission. IRB coordinator reviews consent language before any distribution or submission.
CRA reviews all AI-generated content before site distribution. Accuracy gate ensures no summary reaches sites without human review and approval.
STAR updates platform templates for ICH E6(R3) guideline changes. Compliance maintained continuously without manual template management.
06 BUSINESS OUTCOMES
Site Initiation Time reduced from weeks to hours per amendment
Patient Consent Language reduces misunderstanding and screen failure
Sites Prepared and Informed trial execution quality improved
Patient Centricity consent materials truly understandable
07 REAL-WORLD SCENARIO
| Before | After |
|---|---|
| Amendment issued. Staff spend 2 weeks preparing summaries manually. Site initiation visit delayed. | Amendment issued. AI summary generated within hours. Initiation visit proceeds on schedule. |
| Consent written in technical language. Patients struggle to understand. Screen failure rate elevated. | Plain-language consent generated automatically. Patients understand clearly. Screen failure rate reduced. |
| Clarifying questions raised during initiation visit. Protocol complexity slows activation. Follow-ups required. | Clear summary delivered before visit. Site activation faster. Fewer questions. Investigators better prepared. |
| Amendment triggers manual consent updates across 50 sites. Team overwhelmed. Weeks of delays cascade. | Automated updates generated across all sites. CRA reviews drafts. Sites receive updated materials within days. |
08 ROI AND VALUE JUSTIFICATION
| Value Driver | Indicative Impact | How It Is Realised |
|---|---|---|
| Site initiation time | Weeks recovered per protocol amendment | Summaries generated in hours. Site preparation accelerated significantly. |
| Patient consent clarity | Screen failure rate reduction | Plain language reduces misunderstanding. Patients better informed before enrolment. |
| Trial delay cost avoidance | Each month saved worth millions in delayed revenue | Trial acceleration through faster site activation. Launch timeline protected. |
| CRA productivity | Time redirected from manual summarisation | CRA reviews AI drafts rather than creating from scratch. Time freed for monitoring. |
| Patient centricity | Consent materials genuinely understandable | Vernacular adaptation for Indian sites. Plain language ensures true informed consent. |
09 NEXT STEPS
30-min call to map your CTMS landscape, protocol complexity, and consent form challenges.
We identify 1–2 protocols for a 6-week pilot with live CTMS integration and consent generation.
AI-generated summaries and consent language run on selected protocols. CRA review time tracked.
Site initiation time reduction, screen failure improvement, and CRA productivity measured.