Locum - Doctor of Oncology - Medical LLM Evaluation Project

Locum - Doctor of Oncology - Medical LLM Evaluation Project - 3 months - Fully remote - 40 hours per week

We are seeking a highly skilled Doctor of Oncology to work as part of team, evaluating Large Language Model (LLM)-generated summaries of medical records as part of a specialised project. The successful candidate will be instrumental in ensuring the accuracy and reliability of LLM summaries of clinical documents, such as medical records, laboratory results, pathology reports, and more.

Responsibilities:

• Evaluate LLM-produced summaries of medical records, including clinical notes, labs, and pathology reports.
• Work with a team to revise medical records and compare them with LLM-generated summaries.
• Identify and highlight any discrepancies or omissions in the summary, ensuring that critical medical information is accurately captured.
• Support model evaluation by answering standard questions based on the accuracy and comprehensiveness of the LLM summary.
• Collaborate with the team to refine LLM outputs and ensure high-quality documentation for future use.
• Input: Electronic copies of records and LLM-generated summaries (MS Word).
• Output: Provide feedback in the form of a template, answering evaluation questions and flagging issues for further review.

Qualifications:

• A Doctor of Oncology with a strong understanding of clinical documentation, oncology treatments, and medical terminology.
• Experience in evaluating or reviewing medical records is highly preferred.
• Familiarity with Large Language Models (LLMs) and their application in clinical settings would be advantageous but by no means essential.
• Strong attention to detail and the ability to identify and correct inaccuracies in complex medical information.
• Ability to work independently and collaborate with a multidisciplinary team.
• Proficiency in using electronic medical records and MS Word.

If you're passionate about improving the accuracy of AI tools in healthcare and have an extensive oncology background, we invite you to apply for this exciting opportunity to contribute to the future of medical documentation evaluation.

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