Literature DB >> 25660652

Intelligent use and clinical benefits of electronic health records in rheumatoid arthritis.

Robert J Carroll1, Anne E Eyler, Joshua C Denny.   

Abstract

In the past 10 years, electronic health records (EHRs) have had growing impact in clinical care. EHRs efficiently capture and reuse clinical information, which can directly benefit patient care by guiding treatments and providing effective reminders for best practices. The increased adoption has also lead to more complex implementations, including robust, disease-specific tools, such as for rheumatoid arthritis (RA). In addition, the data collected through normal clinical care is also used in secondary research, helping to refine patient treatment for the future. Although few studies have directly demonstrated benefits for direct clinical care of RA, the opposite is true for EHR-based research - RA has been a particularly fertile ground for clinical and genomic research that have leveraged typically advanced informatics methods to accurately define RA populations. We discuss the clinical impact of EHRs in RA treatment and their impact on secondary research, and provide recommendations for improved utility in future EHR installations.

Entities:  

Keywords:  clinical decision support systems; electronic health records; genomics; pharmacogenetics; rheumatoid arthritis

Mesh:

Year:  2015        PMID: 25660652      PMCID: PMC4518025          DOI: 10.1586/1744666X.2015.1009895

Source DB:  PubMed          Journal:  Expert Rev Clin Immunol        ISSN: 1744-666X            Impact factor:   4.473


  66 in total

1.  Design and implementation of a clinical data management system.

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Journal:  Comput Biomed Res       Date:  1969-10

2.  Modified disease activity scores that include twenty-eight-joint counts. Development and validation in a prospective longitudinal study of patients with rheumatoid arthritis.

Authors:  M L Prevoo; M A van 't Hof; H H Kuper; M A van Leeuwen; L B van de Putte; P L van Riel
Journal:  Arthritis Rheum       Date:  1995-01

3.  Naïve Electronic Health Record phenotype identification for Rheumatoid arthritis.

Authors:  Robert J Carroll; Anne E Eyler; Joshua C Denny
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

4.  Role of computerized physician order entry systems in facilitating medication errors.

Authors:  Ross Koppel; Joshua P Metlay; Abigail Cohen; Brian Abaluck; A Russell Localio; Stephen E Kimmel; Brian L Strom
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

5.  PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.

Authors:  Joshua C Denny; Marylyn D Ritchie; Melissa A Basford; Jill M Pulley; Lisa Bastarache; Kristin Brown-Gentry; Deede Wang; Dan R Masys; Dan M Roden; Dana C Crawford
Journal:  Bioinformatics       Date:  2010-03-24       Impact factor: 6.937

6.  Identification of risk factors for elevated transaminases in methotrexate users through an electronic health record.

Authors:  Gabriela Schmajuk; Yinghui Miao; Jinoos Yazdany; W John Boscardin; David I Daikh; Michael A Steinman
Journal:  Arthritis Care Res (Hoboken)       Date:  2014-08       Impact factor: 4.794

Review 7.  Electronic health records: new opportunities for clinical research.

Authors:  P Coorevits; M Sundgren; G O Klein; A Bahr; B Claerhout; C Daniel; M Dugas; D Dupont; A Schmidt; P Singleton; G De Moor; D Kalra
Journal:  J Intern Med       Date:  2013-10-18       Impact factor: 8.989

8.  Secondary Use of EHR: Data Quality Issues and Informatics Opportunities.

Authors:  Taxiarchis Botsis; Gunnar Hartvigsen; Fei Chen; Chunhua Weng
Journal:  Summit Transl Bioinform       Date:  2010-03-01

9.  Clinically actionable genotypes among 10,000 patients with preemptive pharmacogenomic testing.

Authors:  S L Van Driest; Y Shi; E A Bowton; J S Schildcrout; J F Peterson; J Pulley; J C Denny; D M Roden
Journal:  Clin Pharmacol Ther       Date:  2013-11-19       Impact factor: 6.875

10.  Lack of validation of genetic variants associated with anti-tumor necrosis factor therapy response in rheumatoid arthritis: a genome-wide association study replication and meta-analysis.

Authors:  Ana Márquez; Aida Ferreiro-Iglesias; Cristina L Dávila-Fajardo; Ariana Montes; Dora Pascual-Salcedo; Eva Perez-Pampin; Manuel J Moreno-Ramos; Rosa García-Portales; Federico Navarro; Virginia Moreira; César Magro; Rafael Caliz; Miguel Angel Ferrer; Juan José Alegre-Sancho; Beatriz Joven; Patricia Carreira; Alejandro Balsa; Yiannis Vasilopoulos; Theologia Sarafidou; José Cabeza-Barrera; Javier Narvaez; Enrique Raya; Juan D Cañete; Antonio Fernández-Nebro; María del Carmen Ordóñez; Arturo R de la Serna; Berta Magallares; Juan J Gomez-Reino; Antonio González; Javier Martín
Journal:  Arthritis Res Ther       Date:  2014-03-11       Impact factor: 5.156

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  6 in total

1.  Learning statistical models of phenotypes using noisy labeled training data.

Authors:  Vibhu Agarwal; Tanya Podchiyska; Juan M Banda; Veena Goel; Tiffany I Leung; Evan P Minty; Timothy E Sweeney; Elsie Gyang; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2016-05-12       Impact factor: 4.497

2.  The medical cyborg concept.

Authors:  Eleni Papakonstantinou; Thanasis Mitsis; Konstantina Dragoumani; Flora Bacopoulou; Vasilis Megalooikonomou; George P Chrousos; Dimitrios Vlachakis
Journal:  EMBnet J       Date:  2022-04-21

3.  Flexible, cluster-based analysis of the electronic medical record of sepsis with composite mixture models.

Authors:  Michael B Mayhew; Brenden K Petersen; Ana Paula Sales; John D Greene; Vincent X Liu; Todd S Wasson
Journal:  J Biomed Inform       Date:  2017-12-02       Impact factor: 6.317

4.  Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database.

Authors:  Chen-Ying Hung; Ching-Heng Lin; Tsuo-Hung Lan; Giia-Sheun Peng; Chi-Chun Lee
Journal:  PLoS One       Date:  2019-03-13       Impact factor: 3.240

5.  Impact of Diverse Data Sources on Computational Phenotyping.

Authors:  Liwei Wang; Janet E Olson; Suzette J Bielinski; Jennifer L St Sauver; Sunyang Fu; Huan He; Mine S Cicek; Matthew A Hathcock; James R Cerhan; Hongfang Liu
Journal:  Front Genet       Date:  2020-06-03       Impact factor: 4.599

6.  The eMERGE genotype set of 83,717 subjects imputed to ~40 million variants genome wide and association with the herpes zoster medical record phenotype.

Authors:  Ian B Stanaway; Taryn O Hall; Elisabeth A Rosenthal; Melody Palmer; Vivek Naranbhai; Rachel Knevel; Bahram Namjou-Khales; Robert J Carroll; Krzysztof Kiryluk; Adam S Gordon; Jodell Linder; Kayla Marie Howell; Brandy M Mapes; Frederick T J Lin; Yoonjung Yoonie Joo; M Geoffrey Hayes; Ali G Gharavi; Sarah A Pendergrass; Marylyn D Ritchie; Mariza de Andrade; Damien C Croteau-Chonka; Soumya Raychaudhuri; Scott T Weiss; Matt Lebo; Sami S Amr; David Carrell; Eric B Larson; Christopher G Chute; Laura Jarmila Rasmussen-Torvik; Megan J Roy-Puckelwartz; Patrick Sleiman; Hakon Hakonarson; Rongling Li; Elizabeth W Karlson; Josh F Peterson; Iftikhar J Kullo; Rex Chisholm; Joshua Charles Denny; Gail P Jarvik; David R Crosslin
Journal:  Genet Epidemiol       Date:  2018-10-08       Impact factor: 2.135

  6 in total

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