Literature DB >> 28441940

Clinical records anonymisation and text extraction (CRATE): an open-source software system.

Rudolf N Cardinal1,2.   

Abstract

BACKGROUND: Electronic medical records contain information of value for research, but contain identifiable and often highly sensitive confidential information. Patient-identifiable information cannot in general be shared outside clinical care teams without explicit consent, but anonymisation/de-identification allows research uses of clinical data without explicit consent.
RESULTS: This article presents CRATE (Clinical Records Anonymisation and Text Extraction), an open-source software system with separable functions: (1) it anonymises or de-identifies arbitrary relational databases, with sensitivity and precision similar to previous comparable systems; (2) it uses public secure cryptographic methods to map patient identifiers to research identifiers (pseudonyms); (3) it connects relational databases to external tools for natural language processing; (4) it provides a web front end for research and administrative functions; and (5) it supports a specific model through which patients may consent to be contacted about research.
CONCLUSIONS: Creation and management of a research database from sensitive clinical records with secure pseudonym generation, full-text indexing, and a consent-to-contact process is possible and practical using entirely free and open-source software.

Entities:  

Keywords:  Anonymisation; Clinical informatics; De-identification; Electronic medical records; Open-source software; Pseudonymisation; Psychiatry

Mesh:

Year:  2017        PMID: 28441940      PMCID: PMC5405523          DOI: 10.1186/s12911-017-0437-1

Source DB:  PubMed          Journal:  BMC Med Inform Decis Mak        ISSN: 1472-6947            Impact factor:   2.796


  9 in total

1.  A database de-identification framework to enable direct queries on medical data for secondary use.

Authors:  B S Erdal; J Liu; J Ding; J Chen; C B Marsh; J Kamal; B D Clymer
Journal:  Methods Inf Med       Date:  2012-02-07       Impact factor: 2.176

2.  Evaluating the state-of-the-art in automatic de-identification.

Authors:  Ozlem Uzuner; Yuan Luo; Peter Szolovits
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

3.  Automated de-identification of free-text medical records.

Authors:  Ishna Neamatullah; Margaret M Douglass; Li-wei H Lehman; Andrew Reisner; Mauricio Villarroel; William J Long; Peter Szolovits; George B Moody; Roger G Mark; Gari D Clifford
Journal:  BMC Med Inform Decis Mak       Date:  2008-07-24       Impact factor: 2.796

4.  Extracting and standardizing medication information in clinical text - the MedEx-UIMA system.

Authors:  Min Jiang; Yonghui Wu; Anushi Shah; Priyanka Priyanka; Joshua C Denny; Hua Xu
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2014-04-07

5.  Identification of Adverse Drug Events from Free Text Electronic Patient Records and Information in a Large Mental Health Case Register.

Authors:  Ehtesham Iqbal; Robbie Mallah; Richard George Jackson; Michael Ball; Zina M Ibrahim; Matthew Broadbent; Olubanke Dzahini; Robert Stewart; Caroline Johnston; Richard J B Dobson
Journal:  PLoS One       Date:  2015-08-14       Impact factor: 3.240

6.  The South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register: development and descriptive data.

Authors:  Robert Stewart; Mishael Soremekun; Gayan Perera; Matthew Broadbent; Felicity Callard; Mike Denis; Matthew Hotopf; Graham Thornicroft; Simon Lovestone
Journal:  BMC Psychiatry       Date:  2009-08-12       Impact factor: 3.630

7.  Evaluating current automatic de-identification methods with Veteran's health administration clinical documents.

Authors:  Oscar Ferrández; Brett R South; Shuying Shen; F Jeffrey Friedlin; Matthew H Samore; Stéphane M Meystre
Journal:  BMC Med Res Methodol       Date:  2012-07-27       Impact factor: 4.615

8.  Getting more out of biomedical documents with GATE's full lifecycle open source text analytics.

Authors:  Hamish Cunningham; Valentin Tablan; Angus Roberts; Kalina Bontcheva
Journal:  PLoS Comput Biol       Date:  2013-02-07       Impact factor: 4.475

9.  Development and evaluation of a de-identification procedure for a case register sourced from mental health electronic records.

Authors:  Andrea C Fernandes; Danielle Cloete; Matthew T M Broadbent; Richard D Hayes; Chin-Kuo Chang; Richard G Jackson; Angus Roberts; Jason Tsang; Murat Soncul; Jennifer Liebscher; Robert Stewart; Felicity Callard
Journal:  BMC Med Inform Decis Mak       Date:  2013-07-11       Impact factor: 2.796

  9 in total
  15 in total

1.  De-identifying Spanish medical texts - named entity recognition applied to radiology reports.

Authors:  Irene Pérez-Díez; Raúl Pérez-Moraga; Adolfo López-Cerdán; Jose-Maria Salinas-Serrano; María de la Iglesia-Vayá
Journal:  J Biomed Semantics       Date:  2021-03-29

2.  Natural Language Processing Applications in the Clinical Neurosciences: A Machine Learning Augmented Systematic Review.

Authors:  Quinlan D Buchlak; Nazanin Esmaili; Christine Bennett; Farrokh Farrokhi
Journal:  Acta Neurochir Suppl       Date:  2022

Review 3.  Patient and public involvement to build trust in artificial intelligence: A framework, tools, and case studies.

Authors:  Soumya Banerjee; Phil Alsop; Linda Jones; Rudolf N Cardinal
Journal:  Patterns (N Y)       Date:  2022-06-10

4.  Public opinion on sharing data from health services for clinical and research purposes without explicit consent: an anonymous online survey in the UK.

Authors:  Linda A Jones; Jenny R Nelder; Joseph M Fryer; Philip H Alsop; Michael R Geary; Mark Prince; Rudolf N Cardinal
Journal:  BMJ Open       Date:  2022-04-27       Impact factor: 3.006

5.  Development and external validation of the Psychosis Metabolic Risk Calculator (PsyMetRiC): a cardiometabolic risk prediction algorithm for young people with psychosis.

Authors:  Benjamin I Perry; Emanuele F Osimo; Rachel Upthegrove; Pavan K Mallikarjun; Jessica Yorke; Jan Stochl; Jesus Perez; Stan Zammit; Oliver Howes; Peter B Jones; Golam M Khandaker
Journal:  Lancet Psychiatry       Date:  2021-06-01       Impact factor: 27.083

6.  A Lightweight API-Based Approach for Building Flexible Clinical NLP Systems.

Authors:  Zhengru Shen; Hugo van Krimpen; Marco Spruit
Journal:  J Healthc Eng       Date:  2019-08-15       Impact factor: 2.682

7.  The Medium-Term Impact of COVID-19 Lockdown on Referrals to Secondary Care Mental Health Services: A Controlled Interrupted Time Series Study.

Authors:  Shanquan Chen; Rui She; Pei Qin; Anne Kershenbaum; Emilio Fernandez-Egea; Jenny R Nelder; Chuoxin Ma; Jonathan Lewis; Chaoqun Wang; Rudolf N Cardinal
Journal:  Front Psychiatry       Date:  2020-11-26       Impact factor: 4.157

8.  A class-contrastive human-interpretable machine learning approach to predict mortality in severe mental illness.

Authors:  Soumya Banerjee; Pietro Lio; Peter B Jones; Rudolf N Cardinal
Journal:  NPJ Schizophr       Date:  2021-12-08

9.  Investigation of risk of dementia diagnosis and death in patients in older people's secondary care mental health services.

Authors:  Anne Kershenbaum; Rudolf N Cardinal; Shanquan Chen; Benjamin R Underwood; Aida Seyedsalehi; Jonathan Lewis; Judy Sasha Rubinsztein
Journal:  Int J Geriatr Psychiatry       Date:  2020-11-04       Impact factor: 3.485

10.  Inflammatory and cardiometabolic markers at presentation with first episode psychosis and long-term clinical outcomes: A longitudinal study using electronic health records.

Authors:  Emanuele F Osimo; Benjamin I Perry; Rudolf N Cardinal; Mary-Ellen Lynall; Jonathan Lewis; Arti Kudchadkar; Graham K Murray; Jesus Perez; Peter B Jones; Golam M Khandaker
Journal:  Brain Behav Immun       Date:  2020-09-17       Impact factor: 7.217

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