Literature DB >> 25495075

The intelligent use and clinical benefits of electronic medical records in multiple sclerosis.

Mary F Davis1, Jonathan L Haines.   

Abstract

Electronic medical records (EMRs) are being quickly adopted in clinics around the world. This advancement can greatly enhance the clinical care of patients with multiple sclerosis (MS) by providing formats that allow easier review of medical documents and more structured avenues to store relevant information. MS clinicians should be involved with implementing and updating EMRs at their institutions to ensure EMR formats that benefit MS clinics. EMRs also provide opportunities for research studies of MS to access detailed, longitudinal data of MS disease course that would otherwise be difficult to collect.

Entities:  

Keywords:  electronic medical records; multiple sclerosis

Mesh：

Year:  2014        PMID： 25495075      PMCID： PMC4638194          DOI： 10.1586/1744666X.2015.991314

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


  47 in total

1.  CPIC: Clinical Pharmacogenetics Implementation Consortium of the Pharmacogenomics Research Network.

Authors:  M V Relling; T E Klein
Journal:  Clin Pharmacol Ther       Date:  2011-01-26       Impact factor: 6.875

Review 2.  Twin studies and the heritability of MS: a conclusion.

Authors:  C H Hawkes; A J Macgregor
Journal:  Mult Scler       Date:  2009-06       Impact factor: 6.312

3.  Mayo Genome Consortia: a genotype-phenotype resource for genome-wide association studies with an application to the analysis of circulating bilirubin levels.

Authors:  Suzette J Bielinski; High Seng Chai; Jyotishman Pathak; Jayant A Talwalkar; Paul J Limburg; Rachel E Gullerud; Hugues Sicotte; Eric W Klee; Jason L Ross; Jean-Pierre A Kocher; Iftikhar J Kullo; John A Heit; Gloria M Petersen; Mariza de Andrade; Christopher G Chute
Journal:  Mayo Clin Proc       Date:  2011-06-06       Impact factor: 7.616

Review 4.  Magnetic resonance imaging in multiple sclerosis: the role of conventional imaging.

Authors:  Nancy L Sicotte
Journal:  Neurol Clin       Date:  2011-05       Impact factor: 3.806

5.  Informed consent and subject motivation to participate in a large, population-based genomics study: the Marshfield Clinic Personalized Medicine Research Project.

Authors:  Catherine A McCarty; Anuradha Nair; Diane M Austin; Philip F Giampietro
Journal:  Community Genet       Date:  2007

6.  Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs.

Authors:  Archana Tapuria; Dipak Kalra; Shinji Kobayashi
Journal:  Healthc Inform Res       Date:  2013-12-31

Review 7.  MRI measures of neurodegeneration in multiple sclerosis: implications for disability, disease monitoring, and treatment.

Authors:  Massimo Filippi
Journal:  J Neurol       Date:  2014-04-11       Impact factor: 4.849

8.  Electronic health record design and implementation for pharmacogenomics: a local perspective.

Authors:  Josh F Peterson; Erica Bowton; Julie R Field; Marc Beller; Jennifer Mitchell; Jonathan Schildcrout; William Gregg; Kevin Johnson; Jim N Jirjis; Dan M Roden; Jill M Pulley; Josh C Denny
Journal:  Genet Med       Date:  2013-09-05       Impact factor: 8.822

9.  Automated extraction of clinical traits of multiple sclerosis in electronic medical records.

Authors:  Mary F Davis; Subramaniam Sriram; William S Bush; Joshua C Denny; Jonathan L Haines
Journal:  J Am Med Inform Assoc       Date:  2013-10-22       Impact factor: 4.497

10.  Modeling disease severity in multiple sclerosis using electronic health records.

Authors:  Zongqi Xia; Elizabeth Secor; Lori B Chibnik; Riley M Bove; Suchun Cheng; Tanuja Chitnis; Andrew Cagan; Vivian S Gainer; Pei J Chen; Katherine P Liao; Stanley Y Shaw; Ashwin N Ananthakrishnan; Peter Szolovits; Howard L Weiner; Elizabeth W Karlson; Shawn N Murphy; Guergana K Savova; Tianxi Cai; Susanne E Churchill; Robert M Plenge; Isaac S Kohane; Philip L De Jager
Journal:  PLoS One       Date:  2013-11-11       Impact factor: 3.240
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  2 in total

1.  Shared Genetic Etiology of Autoimmune Diseases in Patients from a Biorepository Linked to De-identified Electronic Health Records.

Authors:  Nicole A Restrepo; Mariusz Butkiewicz; Josephine A McGrath; Dana C Crawford
Journal:  Front Genet       Date:  2016-10-20       Impact factor: 4.599

2.  Assessment of Natural Language Processing Methods for Ascertaining the Expanded Disability Status Scale Score From the Electronic Health Records of Patients With Multiple Sclerosis: Algorithm Development and Validation Study.

Authors:  Zhen Yang; Chloé Pou-Prom; Ashley Jones; Michaelia Banning; David Dai; Muhammad Mamdani; Jiwon Oh; Tony Antoniou
Journal:  JMIR Med Inform       Date:  2022-01-12
  2 in total

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