1. ARBoR: an identity and security solution for clinical reporting
- Author
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Shan Lu, Victoria Yi, Richard A. Gibbs, Mullai Murugan, Walker Hale, Eric Venner, and Jordan M Jones
- Subjects
0301 basic medicine ,Computer science ,Hash function ,Health Informatics ,Certification ,Case Reports ,Encryption ,Medical Records ,World Wide Web ,03 medical and health sciences ,0302 clinical medicine ,Digital signature ,Block (programming) ,Humans ,030212 general & internal medicine ,Genetic Testing ,Computer Security ,030304 developmental biology ,0303 health sciences ,Information retrieval ,Security solution ,business.industry ,Clinical Laboratory Techniques ,Genome, Human ,fungi ,Electronic medical record ,Geneticist ,Genomics ,Ordering Physician ,030104 developmental biology ,Ledger ,Organizational Case Studies ,Identity (object-oriented programming) ,business ,Laboratories - Abstract
Motivation Clinical genome sequencing laboratories return reports containing clinical testing results, signed by a board-certified clinical geneticist, to the ordering physician. This report is often a PDF, but can also be a paper copy or a structured data file. The reports are frequently modified and reissued due to changes in variant interpretation or clinical attributes. Materials and Methods To precisely track report authenticity, we developed ARBoR (Authenticated Resources in a Hashed Block Registry), an application for tracking the authenticity and lineage of versioned clinical reports even when they are distributed as PDF or paper copies. ARBoR tracks clinical reports as cryptographically signed hash blocks in an electronic ledger file, which is then exactly replicated to many clients. Results ARBoR was implemented for clinical reporting in the Human Genome Sequencing Center Clinical Laboratory, initially as part of the National Institute of Health's Electronic Medical Record and Genomics (eMERGE) project. Conclusions To date, we have issued 15 205 versioned clinical reports tracked by ARBoR. This system has provided us with a simple and tamper-proof mechanism for tracking clinical reports with a complicated update history.
- Published
- 2019