Literature DB >> 26418948

Utilities of Electronic Medical Records to Improve Quality of Care for Acute Kidney Injury: Past, Present, Future.

Kianoush Kashani1, Vitaly Herasevich.   

Abstract

Electronic health records (EHRs) have become an integrated part of medical practice in most clinical settings around the world. Appropriate use of EHR potentially improves patient care while poorly designed EHR can cause harm. In recent years, EHR has been used as a platform to identify patients who have or may develop acute kidney injury (AKI). The benefit of using EHR for a rule-based classification of AKI has been controversial. While some reports indicate improvement in the process of care provided to AKI patients, other studies do not show significant changes in the outcomes. Utilities of EHR in AKI should go beyond a rule-based detection of the AKI as a syndrome. There are several different potential applications for such tools including AKI forecasting models and clinical decision support systems, to improve the quality of care and outcome of the patients with AKI. Both clinical and investigative interest in the field is growing among clinicians, administrators and scientists. Appropriate utilization of intelligent EHR can provide timely, appropriate and accurate information to the clinicians in order to improve the quality of care provided to critically ill patients and assist investigators to generate new knowledge. In this review paper, we discuss the past and present states of EHR role in the field of AKI. We also share our views regarding the future potentials and directions of these devices.
© 2015 S. Karger AG, Basel.

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Mesh:

Year:  2015        PMID: 26418948     DOI: 10.1159/000437311

Source DB:  PubMed          Journal:  Nephron        ISSN: 1660-8151            Impact factor:   2.847


  6 in total

1.  Development of a Multicenter Ward-Based AKI Prediction Model.

Authors:  Jay L Koyner; Richa Adhikari; Dana P Edelson; Matthew M Churpek
Journal:  Clin J Am Soc Nephrol       Date:  2016-09-15       Impact factor: 8.237

2.  Risk Factors for Acute Kidney Injury in Hospitalized Non-Critically Ill Patients: A Population-Based Study.

Authors:  Sami Safadi; Musab S Hommos; Felicity T Enders; John C Lieske; Kianoush B Kashani
Journal:  Mayo Clin Proc       Date:  2020-01-31       Impact factor: 7.616

3.  No increase in the incidence of acute kidney injury in a population-based annual temporal trends epidemiology study.

Authors:  Kianoush Kashani; Min Shao; Guangxi Li; Amy W Williams; Andrew D Rule; Walter K Kremers; Michael Malinchoc; Ognjen Gajic; John C Lieske
Journal:  Kidney Int       Date:  2017-05-18       Impact factor: 10.612

4.  Establishing a continuum of acute kidney injury - tracing AKI using data source linkage and long-term follow-up: Workgroup Statements from the 15th ADQI Consensus Conference.

Authors:  Ravindra Mehta; Azra Bihorac; Nicholas M Selby; Hude Quan; Stuart L Goldstein; John A Kellum; Claudio Ronco; Sean M Bagshaw
Journal:  Can J Kidney Health Dis       Date:  2016-02-26

Review 5.  The future of critical care: renal support in 2027.

Authors:  William R Clark; Mauro Neri; Francesco Garzotto; Zaccaria Ricci; Stuart L Goldstein; Xiaoqiang Ding; Jiarui Xu; Claudio Ronco
Journal:  Crit Care       Date:  2017-04-11       Impact factor: 9.097

6.  Impact of Daily Electronic Laboratory Alerting on Early Detection and Clinical Documentation of Acute Kidney Injury in Hospital Settings.

Authors:  Tarush Kothari; Kendal Jensen; Debbie Mallon; Gerard Brogan; James Crawford
Journal:  Acad Pathol       Date:  2018-12-04
  6 in total

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