Literature DB >> 29854106

Gap Analysis and Refinement Recommendations of Skin Alteration and Pressure Ulcer Enterprise Reference Models against Nursing Flowsheet Data Elements.

Karen M Bavuso1, Perry L Mar1,2,3, Roberto A Rocha1,2,3, Sarah A Collins1,2,3.   

Abstract

Reference models are an essential instrument to provide structure and guidance in the creation and use of data elements within an organizations' electronic health record (EHR). Standardization of data elements is imperative to ensure clinical data is consistently and reliably captured for use in clinical documentation, care communication, and a variety of downstream data uses. Ongoing assessment and refinement of reference models and data elements are necessary to ascertain clinical data capture is applicable and inclusive across a variety of caregivers and domains. We performed a gap analysis on current state nursing data elements against two validated interprofessional reference models: skin alteration and pressure ulcer assessments. We present our findings along with recommendations for reference model refinements. We also highlight additional findings of inconsistencies and redundancies within data elements used for nursing documentation and highlight recommendations for improvement.

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Mesh:

Year:  2018        PMID: 29854106      PMCID: PMC5977732     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  12 in total

1.  Improving safety with information technology.

Authors:  David W Bates; Atul A Gawande
Journal:  N Engl J Med       Date:  2003-06-19       Impact factor: 91.245

2.  Managing a data dictionary.

Authors:  Jill Clark; Barbara Demster; C Jeanne Solberg
Journal:  J AHIMA       Date:  2012-01

3.  A Practical Approach to Governance and Optimization of Structured Data Elements.

Authors:  Sarah A Collins; Emily Gesner; Steven Morgan; Perry Mar; Saverio Maviglia; Doreen Colburn; Diana Tierney; Roberto Rocha
Journal:  Stud Health Technol Inform       Date:  2015

Review 4.  Wound assessment.

Authors:  Joseph E Grey; Stuart Enoch; Keith G Harding
Journal:  BMJ       Date:  2006-02-04

5.  Prioritization and Refinement of Clinical Data Elements within EHR Systems.

Authors:  Sarah A Collins; Emily Gesner; Perry L Mar; Doreen M Colburn; Roberto A Rocha
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

6.  The future state of clinical data capture and documentation: a report from AMIA's 2011 Policy Meeting.

Authors:  Caitlin M Cusack; George Hripcsak; Meryl Bloomrosen; S Trent Rosenbloom; Charlotte A Weaver; Adam Wright; David K Vawdrey; Jim Walker; Lena Mamykina
Journal:  J Am Med Inform Assoc       Date:  2012-09-08       Impact factor: 4.497

7.  Standardizing Physiologic Assessment Data to Enable Big Data Analytics.

Authors:  Susan A Matney; Theresa Tess Settergren; Jane M Carrington; Rachel L Richesson; Amy Sheide; Bonnie L Westra
Journal:  West J Nurs Res       Date:  2016-07-21       Impact factor: 1.967

Review 8.  Medication-related clinical decision support in computerized provider order entry systems: a review.

Authors:  Gilad J Kuperman; Anne Bobb; Thomas H Payne; Anthony J Avery; Tejal K Gandhi; Gerard Burns; David C Classen; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

Review 9.  Definitions and guidelines for assessment of wounds and evaluation of healing.

Authors:  G S Lazarus; D M Cooper; D R Knighton; D J Margolis; R E Pecoraro; G Rodeheaver; M C Robson
Journal:  Arch Dermatol       Date:  1994-04

10.  Detailed clinical models: a review.

Authors:  William Goossen; Anneke Goossen-Baremans; Michael van der Zel
Journal:  Healthc Inform Res       Date:  2010-12-31
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  2 in total

1.  Nursing Documentation Variation Across Different Medical Facilities Within an Integrated Healthcare System.

Authors:  Min-Jeoung Kang; Sarah Collins Rossetti; Christopher Knaplund; Frank Y Chang; Kumiko O Schnock; Kimberly Whalen; Emily J Gesner; Jose P Garcia; Kenrick D Cato; Patricia C Dykes
Journal:  Comput Inform Nurs       Date:  2021-05-03       Impact factor: 1.985

2.  Reshaping wound care: Evaluation of an artificial intelligence app to improve wound assessment and management amid the COVID-19 pandemic.

Authors:  Michelle Barakat-Johnson; Aaron Jones; Mitch Burger; Thomas Leong; Astrid Frotjold; Sue Randall; Bora Kim; Judith Fethney; Fiona Coyer
Journal:  Int Wound J       Date:  2022-02-25       Impact factor: 3.099

  2 in total

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