Literature DB >> 31241152

ARBoR: an identity and security solution for clinical reporting.

Eric Venner1, Mullai Murugan1, Walker Hale1, Jordan M Jones1, Shan Lu1, Victoria Yi1, Richard A Gibbs1.   

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.
© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  clinical genomics; genetic report

Mesh:

Year:  2019        PMID: 31241152      PMCID: PMC6798556          DOI: 10.1093/jamia/ocz107

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  14 in total

1.  The GeneInsight Suite: a platform to support laboratory and provider use of DNA-based genetic testing.

Authors:  Samuel J Aronson; Eugene H Clark; Lawrence J Babb; Samantha Baxter; Lisa M Farwell; Birgit H Funke; Amy Lovelette Hernandez; Victoria A Joshi; Elaine Lyon; Andrew R Parthum; Franklin J Russell; Matthew Varugheese; Thomas C Venman; Heidi L Rehm
Journal:  Hum Mutat       Date:  2011-03-22       Impact factor: 4.878

2.  Molecular findings among patients referred for clinical whole-exome sequencing.

Authors:  Yaping Yang; Donna M Muzny; Fan Xia; Zhiyv Niu; Richard Person; Yan Ding; Patricia Ward; Alicia Braxton; Min Wang; Christian Buhay; Narayanan Veeraraghavan; Alicia Hawes; Theodore Chiang; Magalie Leduc; Joke Beuten; Jing Zhang; Weimin He; Jennifer Scull; Alecia Willis; Megan Landsverk; William J Craigen; Mir Reza Bekheirnia; Asbjorg Stray-Pedersen; Pengfei Liu; Shu Wen; Wendy Alcaraz; Hong Cui; Magdalena Walkiewicz; Jeffrey Reid; Matthew Bainbridge; Ankita Patel; Eric Boerwinkle; Arthur L Beaudet; James R Lupski; Sharon E Plon; Richard A Gibbs; Christine M Eng
Journal:  JAMA       Date:  2014-11-12       Impact factor: 56.272

3.  Empowering genomic medicine by establishing critical sequencing result data flows: the eMERGE example.

Authors:  Samuel Aronson; Lawrence Babb; Darren Ames; Richard A Gibbs; Eric Venner; John J Connelly; Keith Marsolo; Chunhua Weng; Marc S Williams; Andrea L Hartzler; Wayne H Liang; James D Ralston; Emily Beth Devine; Shawn Murphy; Christopher G Chute; Pedro J Caraballo; Iftikhar J Kullo; Robert R Freimuth; Luke V Rasmussen; Firas H Wehbe; Josh F Peterson; Jamie R Robinson; Ken Wiley; Casey Overby Taylor
Journal:  J Am Med Inform Assoc       Date:  2018-10-01       Impact factor: 4.497

4.  ACMG clinical laboratory standards for next-generation sequencing.

Authors:  Heidi L Rehm; Sherri J Bale; Pinar Bayrak-Toydemir; Jonathan S Berg; Kerry K Brown; Joshua L Deignan; Michael J Friez; Birgit H Funke; Madhuri R Hegde; Elaine Lyon
Journal:  Genet Med       Date:  2013-07-25       Impact factor: 8.822

Review 5.  Developing genomic knowledge bases and databases to support clinical management: current perspectives.

Authors:  Vojtech Huser; Murat Sincan; James J Cimino
Journal:  Pharmgenomics Pers Med       Date:  2014-09-09

6.  Realizing the potential of blockchain technologies in genomics.

Authors:  Halil Ibrahim Ozercan; Atalay Mert Ileri; Erman Ayday; Can Alkan
Journal:  Genome Res       Date:  2018-08-03       Impact factor: 9.043

Review 7.  Implementing genomic medicine in the clinic: the future is here.

Authors:  Teri A Manolio; Rex L Chisholm; Brad Ozenberger; Dan M Roden; Marc S Williams; Richard Wilson; David Bick; Erwin P Bottinger; Murray H Brilliant; Charis Eng; Kelly A Frazer; Bruce Korf; David H Ledbetter; James R Lupski; Clay Marsh; David Mrazek; Michael F Murray; Peter H O'Donnell; Daniel J Rader; Mary V Relling; Alan R Shuldiner; David Valle; Richard Weinshilboum; Eric D Green; Geoffrey S Ginsburg
Journal:  Genet Med       Date:  2013-01-10       Impact factor: 8.822

Review 8.  Where Is Current Research on Blockchain Technology?-A Systematic Review.

Authors:  Jesse Yli-Huumo; Deokyoon Ko; Sujin Choi; Sooyong Park; Kari Smolander
Journal:  PLoS One       Date:  2016-10-03       Impact factor: 3.240

9.  Clinical laboratories collaborate to resolve differences in variant interpretations submitted to ClinVar.

Authors:  Steven M Harrison; Jill S Dolinsky; Amy E Knight Johnson; Tina Pesaran; Danielle R Azzariti; Sherri Bale; Elizabeth C Chao; Soma Das; Lisa Vincent; Heidi L Rehm
Journal:  Genet Med       Date:  2017-03-16       Impact factor: 8.822

Review 10.  Blockchain distributed ledger technologies for biomedical and health care applications.

Authors:  Tsung-Ting Kuo; Hyeon-Eui Kim; Lucila Ohno-Machado
Journal:  J Am Med Inform Assoc       Date:  2017-11-01       Impact factor: 4.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.