Custom LLMs for 20% higher clinical trial patient retention : strategies from Techdome, a mid-sized IT solutions consultancy, and their implementation in detail / insights from Rahul Joshi and Gaurav Chouhan.

Format:

Book

Author/Creator:

Joshi, Rahul, author.

Chouhan, Gaurav, author.

Series:

ECHO report.

ECHO report

Language:

English

Subjects (All):

Computational linguistics.

Natural language processing (Computer science).

Artificial intelligence.

Physical Description:

1 online resource (33 pages) : color illustrations.

Edition:

[First edition].

Place of Publication:

Birmingham : Packt Publishing, [2025]

Summary:

This 33-page ECHO Report is a detailed exploration of Techdome's custom LLM implementation that streamlines clinical trial processes, and the decisions that made it possible. This report emphasizes the practical mechanics of scalable automation--covering model specialization, data structuring, system modularity, and human-in-the-loop feedback. For product and engineering leaders in mid-sized to large organizations operating in data-intensive, high-stakes workflows--particularly in life sciences, healthcare tech, or other sectors with complex process automation needs - it serves as a technically detailed case study in moving from experimentation to production-grade deployment. Key decisions Custom LLM + traditional ML interplay with structured handoff Clinician and patient feedback used for RLHF and domain finetuning Key-attribute mapping to enable cross-industry portability Real-time predictive validation at point-of-entry Multi-layer flagging for compliance and error handling Key results 20% increase in patient engagement and retention 95% decrease in manual data entry errors and inconsistencies 25% faster time-to-market A 4/5 CSAT score, from 1,000 trial participants.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

1-80610-965-4

OCLC:

1525859021