De-Identifying Healthcare Data for Research
- Ranvijay Kumar | Microsoft Health Cloud & Data
In order to meet HIPAA privacy guidelines for secondary use such as research and analytics, the healthcare data needs to be de-identified. HIPAA defines Protected Health Information (PHI) and proposes two methods for de-identifying data. FHIR Tools for anonymization, an open source tool developed by the HealthNext team, implements foundational capability for de-identifying FHIR data using different methods. This tool comes with a default configuration that is aligned with HIPAA safe harbor method of de-identification. In this talk we give a demo of the tool, discuss other common tools and techniques, and identify potential research opportunities in preparing healthcare data for secondary use.
Presented by:
Ranvijay Kumar, Senior Program Manager | Health Cloud & Data
Agenda
- HIPAA guidance for de-identifying Protected Health Information
- Demo of FHIR Tools for Anonymization
- Discuss other tools and techniques
- Discuss opportunities for research
- Q&A
See all videos in this Health Data Series > (opens in new tab)
Speaker Details
Ranvijay Kumar, Senior Program Manager | Health Cloud & Data
Watch Next
-
Multimodal & Embodied Intelligence (S2)
- Rajiv Ratn Shah,
- Tanuja Ganu,
- Mercy Ranjit
-
Session: Compute & Trust (Systems)
- Ashish Panwar,
- Aditya Desai,
- Abhilash Jindal
-
-
Multimodal & Embodied Intelligence (S1), Panel on Multimodal AI: Progress, Pitfalls, Possibilities
- Madhava Krishna,
- Sriram Ganapathy,
- Somak Aditya
-
Session on Compute & Trust (Security)
- Krishna Pillutla,
- Danish Pruthi
-
Session on Reasoning
- Hongxiang Fan,
- Nagarajan Natarajan
-
Human-Centered AI: Design, Deployment & Healthcare
- Manik Gupta,
- Anirudha Joshi,
- Aaditeshwar Seth
-
Session on Retrieval
- Lokesh Nagalapatti,
- Soumen Chakrabarti
-
Session on Inclusive AI: Data, Models, Evaluation
- Niloy Ganguly,
- Danish Pruthi,
- Sunayana Sitaram
-