Literature DB >> 23708504

Conducting research using the electronic health record across multi-hospital systems: semantic harmonization implications for administrators.

Kathryn H Bowles1, Sheryl Potashnik, Sarah J Ratcliffe, Melissa Rosenberg, Nai-Wei Shih, Maxim Topaz, John H Holmes, Mary D Naylor.   

Abstract

Administrators play a major role in choosing and managing the use of the electronic health record (EHR). The documentation policies and EHR changes enacted or approved by administrators affect the ability to use clinical data for research. This article illustrates the challenges that can be avoided through awareness of the consequences of customization, variations in documentation policies and quality, and user interface features. Solutions are posed that assist administrators in avoiding these challenges and promoting data harmonization for research and quality improvement.

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Year:  2013        PMID: 23708504      PMCID: PMC3714548          DOI: 10.1097/NNA.0b013e3182942c3c

Source DB:  PubMed          Journal:  J Nurs Adm        ISSN: 0002-0443            Impact factor:   1.737


  12 in total

1.  Nursing classifications: Home Health Care Classification System (HHCC): an overview.

Authors:  Virginia K Saba
Journal:  Online J Issues Nurs       Date:  2002

Review 2.  A meta-study of the essentials of quality nursing documentation.

Authors:  Diana Jefferies; Maree Johnson; Rhonda Griffiths
Journal:  Int J Nurs Pract       Date:  2010-04       Impact factor: 2.066

Review 3.  Methods in biomedical ontology.

Authors:  Alexander C Yu
Journal:  J Biomed Inform       Date:  2005-12-07       Impact factor: 6.317

4.  A method to map heterogeneity between near but non-equivalent semantic attributes in multiple health data registries.

Authors:  Nadine Schuurman; Agnieszka Leszczynski
Journal:  Health Informatics J       Date:  2008-03       Impact factor: 2.681

5.  Health information technology: standards, implementation specifications, and certification criteria for electronic health record technology, 2014 edition; revisions to the permanent certification program for health information technology. Final rule.

Authors: 
Journal:  Fed Regist       Date:  2012-09-04

6.  Electronic health information in use: Characteristics that support employee workflow and patient care.

Authors:  Alissa L Russ; Jason J Saleem; Connie F Justice; Heather Woodward-Hagg; Peter A Woodbridge; Bradley N Doebbeling
Journal:  Health Informatics J       Date:  2010-12       Impact factor: 2.681

7.  A data model for integrating heterogeneous medical data in the Health-e-Child project.

Authors:  Andrew Branson; Tamas Hauer; Richard McClatchey; Dmitry Rogulin; Jetendr Shamdasani
Journal:  Stud Health Technol Inform       Date:  2008

Review 8.  Definition, structure, content, use and impacts of electronic health records: a review of the research literature.

Authors:  Kristiina Häyrinen; Kaija Saranto; Pirkko Nykänen
Journal:  Int J Med Inform       Date:  2007-10-22       Impact factor: 4.046

9.  Resident documentation discrepancies in a neonatal intensive care unit.

Authors:  Aaron E Carroll; Peter Tarczy-Hornoch; Eamon O'Reilly; Dimitri A Christakis
Journal:  Pediatrics       Date:  2003-05       Impact factor: 7.124

10.  Pain management documentation quality as a reflection of nurses' clinical judgment.

Authors:  Joanne G Samuels; Susan Fetzer
Journal:  J Nurs Care Qual       Date:  2009 Jul-Sep       Impact factor: 1.597

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  11 in total

1.  Nine Principles of Semantic Harmonization.

Authors:  James A Cunningham; Michel Van Speybroeck; Dipak Kalra; Rudi Verbeeck
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

2.  Nurse Generated EHR Data Supports Post-Acute Care Referral Decision Making: Development and Validation of a Two-step Algorithm.

Authors:  Kathryn H Bowles; Sarah J Ratcliffe; Mary D Naylor; John H Holmes; Susan K Keim; Emilia J Flores
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

3.  SMASH: A Data-driven Informatics Method to Assist Experts in Characterizing Semantic Heterogeneity among Data Elements.

Authors:  William Brown; Chunhua Weng; David K Vawdrey; Alex Carballo-Diéguez; Suzanne Bakken
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

4.  Using Electronic Case Summaries to Elicit Multi-Disciplinary Expert Knowledge about Referrals to Post-Acute Care.

Authors:  Kathryn H Bowles; Sarah Ratcliffe; Sheryl Potashnik; Maxim Topaz; John Holmes; Nai-Wei Shih; Mary D Naylor
Journal:  Appl Clin Inform       Date:  2016-05-18       Impact factor: 2.342

Review 5.  Challenges Associated With Using Large Data Sets for Quality Assessment and Research in Clinical Settings.

Authors:  Bevin Cohen; David K Vawdrey; Jianfang Liu; David Caplan; E Yoko Furuya; Frederick W Mis; Elaine Larson
Journal:  Policy Polit Nurs Pract       Date:  2015-09-08

6.  Developing evidence-based tools from EHR data.

Authors:  Kathryn H Bowles
Journal:  Nurs Manage       Date:  2014-04

7.  Why Is the Electronic Health Record So Challenging for Research and Clinical Care?

Authors:  John H Holmes; James Beinlich; Mary R Boland; Kathryn H Bowles; Yong Chen; Tessa S Cook; George Demiris; Michael Draugelis; Laura Fluharty; Peter E Gabriel; Robert Grundmeier; C William Hanson; Daniel S Herman; Blanca E Himes; Rebecca A Hubbard; Charles E Kahn; Dokyoon Kim; Ross Koppel; Qi Long; Nebojsa Mirkovic; Jeffrey S Morris; Danielle L Mowery; Marylyn D Ritchie; Ryan Urbanowicz; Jason H Moore
Journal:  Methods Inf Med       Date:  2021-07-19       Impact factor: 1.800

Review 8.  Using big data in pediatric oncology: Current applications and future directions.

Authors:  Ajay Major; Suzanne M Cox; Samuel L Volchenboum
Journal:  Semin Oncol       Date:  2020-02-29       Impact factor: 5.385

9.  How do 66 European institutional review boards approve one protocol for an international prospective observational study on traumatic brain injury? Experiences from the CENTER-TBI study.

Authors:  Marjolein Timmers; Jeroen T J M van Dijck; Roel P J van Wijk; Valerie Legrand; Ernest van Veen; Andrew I R Maas; David K Menon; Giuseppe Citerio; Nino Stocchetti; Erwin J O Kompanje
Journal:  BMC Med Ethics       Date:  2020-05-12       Impact factor: 2.652

10.  Predicting patient acuity according to their main problem.

Authors:  Maria-Eulàlia Juvé-Udina; Jordi Adamuz; Maria-Magdalena López-Jimenez; Marta Tapia-Pérez; Núria Fabrellas; Cristina Matud-Calvo; Maribel González-Samartino
Journal:  J Nurs Manag       Date:  2019-10-30       Impact factor: 3.325

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