Advisor for Attorneys: Medicolegal Technology & Data Forensic Expert

EMR data is at the heart of modern medical malpractice and healthcare litigation. I ensure no stone is left unturned.

• Data Discovery & Requests: I help ensure complete and accurate EMR data requests from defendants, ensuring you get the full scope of records needed for discovery.

• Audit Logs & Metadata Analysis: I analyze system logs to trace access, edits, and entries to identify inconsistencies or changes to the EMR.

• Data Integrity Reviews: I identify altered, missing, or incomplete records and assess data quality and its impact on the case.

Healthcare privacy breaches often trigger lawsuits and regulatory penalties. I provide expert insight into privacy compliance and data security.

• Breach Investigation & Forensics: I trace unauthorized access and identify the root cause of the breach.

• Breach Impact Assessment: I analyze the scope of the breach and its potential harm for use in litigation or settlements.

• HIPAA Compliance Audits: I assess whether covered entities adhered to HIPAA regulations and identify gaps in access control, data sharing, and system oversight.

• Compliance Advisory: I provide expert analysis on HIPAA compliance failures, which often play a pivotal role in settlements and judgments.

Preparing for depositions requires more than a list of questions — it demands insight into how healthcare systems actually operate.

• Deposition Question Design: I create targeted deposition questions to expose weak points in data collection, audit logs, and system controls.

• Deposition Preparation: I prepare attorneys with the technical knowledge they need to ask informed, impactful questions.

• Deposition Coaching: I coach attorneys on technical aspects of informatics, AI, and data privacy so they walk into depositions fully equipped.

As a pioneer in AI for healthcare, I help legal teams understand the role of algorithms in clinical decision-making, particularly when AI tools affect patient care.

• AI Algorithm Forensics: I evaluate the fairness, bias, and decision-making process of AI models used in medical decisions.

• AI-Driven Plagiarism & IP Breaches: I assess plagiarism issues related to AI-generated outputs, ensuring intellectual property remains protected.

• AI Ethics & Bias Reviews: I assess whether AI models used in healthcare adhered to industry best practices, ethical standards, and regulatory compliance.