Literature DB >> 31682858

Leveraging the electronic health record to improve dermatologic care delivery: The importance of finding structure in data.

Andrew J Park1, Gil S Weintraub2, Maryam M Asgari3.   

Abstract

The federal mandate for electronic health record (EHR) keeping for health care providers impacted the burden placed on dermatologists for medical documentation. The hope that EHR would improve care quality and efficiency and reduce health disparities has yet to be fully realized. Despite the significant time and effort spent on documentation, the majority of EHR clinical data remain unstructured and therefore, difficult to process and analyze. Structured data can provide a way for dermatologists and data scientists to make more effective use of clinical data-not only to improve the dermatologist's experience with EHRs, but also to manage technology-related administrative burden, accelerate understanding of disease, and enhance care delivery for patients. Understanding the importance of structured data will allow dermatologists to actively engage in how clinical data will be collected and used to advance patient care.
Copyright © 2019 American Academy of Dermatology, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  EHR; NLP; PROM; structured data

Mesh:

Year:  2019        PMID: 31682858      PMCID: PMC7714371          DOI: 10.1016/j.jaad.2019.10.064

Source DB:  PubMed          Journal:  J Am Acad Dermatol        ISSN: 0190-9622            Impact factor:   11.527


  4 in total

Review 1.  The electronic medical record in dermatology.

Authors:  Joshua A Grosshandler; Brittain Tulbert; Mark D Kaufmann; Ashish Bhatia; Robert T Brodell
Journal:  Arch Dermatol       Date:  2010-09

2.  Preprocessing structured clinical data for predictive modeling and decision support. A roadmap to tackle the challenges.

Authors:  José Carlos Ferrão; Mónica Duarte Oliveira; Filipe Janela; Henrique M G Martins
Journal:  Appl Clin Inform       Date:  2016-12-07       Impact factor: 2.342

3.  Administrative Costs Associated With Physician Billing and Insurance-Related Activities at an Academic Health Care System.

Authors:  Phillip Tseng; Robert S Kaplan; Barak D Richman; Mahek A Shah; Kevin A Schulman
Journal:  JAMA       Date:  2018-02-20       Impact factor: 56.272

4.  Population-Based Analysis of Histologically Confirmed Melanocytic Proliferations Using Natural Language Processing.

Authors:  Jason P Lott; Denise M Boudreau; Ray L Barnhill; Martin A Weinstock; Eleanor Knopp; Michael W Piepkorn; David E Elder; Steven R Knezevich; Andrew Baer; Anna N A Tosteson; Joann G Elmore
Journal:  JAMA Dermatol       Date:  2018-01-01       Impact factor: 10.282

  4 in total

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