ClinicalTrials.gov
public full text
Public Domain
NLM Scrubber: NLM s Software Application to De-identify Clinical Text Documents
Background: Electronic health records contain a vast amount of data about diseases and treatments. Researchers could use this data to test their ideas, but they would need to use records from more than just their own group of patients. But access to those records is restricted to ensure patient privacy. U.S. National Library of Medicine (NLM) has created a computer tool called NLM Scrubber. This program recognizes and deletes personal information from health records. The researchers who developed this program now need access to the original records. This will allow them to see how well the program removes personal information from patient records and how they can make it more accurate. Objectives: To find ways to improve clinical text de-identification. Eligibility: No new participants. Researchers will review data that have already been collected. Design: Researchers will collect a random sample of reports. These will be from different doctors in different fields. Researchers will manually remove personal information from the records. Researchers will also automatically remove personal information from original records using NLM-Scrubber. Researchers will compare the results of the computer program versus the manual changes. They will note when the program has not been removing personal information correctly. They will also note when the program has been deleting nonpersonal health information incorrectly. Researchers will use the results to revise the program. They will keep testing it until the de-identification process is complete.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Collecting Information From Patients and Family Members With Hereditary Colorectal Cancer Syndromes or Who Are at High Risk of Developing Colorectal Cancer#898810
- School-Based Telemedicine Enhanced Asthma Management#1114261
- The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases.#1097788
- D8.2: Data Management Plan#134053
- GDPR and its solution in Django#1177531
Record · ID 1321106
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive