Literature DB >> 30297378

EHR-related alert fatigue: minimal progress to date, but much more can be done.

Thomas H Payne1.   

Abstract

Keywords:  anaesthesia; attitudes; audit and feedback

Mesh：

Year:  2018        PMID： 30297378     DOI： 10.1136/bmjqs-2017-007737

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN： 2044-5415            Impact factor:   7.035


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  7 in total

1.  A Viewpoint on the Information Sharing Paradox.

Authors:  Shane P Stenner; William Rice; Scott D Nelson
Journal:  Appl Clin Inform       Date:  2020-07-08       Impact factor: 2.342

2.  Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization.

Authors:  Ashutosh Jadhav; Tyler Baldwin; Joy Wu; Vandana Mukherjee; Tanveer Syeda-Mahmood
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

3.  Reducing Alert Burden in Electronic Health Records: State of the Art Recommendations from Four Health Systems.

Authors:  John D McGreevey; Colleen P Mallozzi; Randa M Perkins; Eric Shelov; Richard Schreiber
Journal:  Appl Clin Inform       Date:  2020-01-01       Impact factor: 2.342

4.  What Oncologists Want: Identifying Challenges and Preferences on Diagnosis Data Entry to Reduce EHR-Induced Burden and Improve Clinical Data Quality.

Authors:  Franck Diaz-Garelli; Roy Strowd; Tamjeed Ahmed; Thomas W Lycan; Sean Daley; Brian J Wells; Umit Topaloglu
Journal:  JCO Clin Cancer Inform       Date:  2021-05

Review 5.  The safety of computerised prescribing in hospitals.

Authors:  Melissa T Baysari; Magdalena Z Raban
Journal:  Aust Prescr       Date:  2019-08-01

6.  Delivering the right information to the right person at the right time to facilitate deprescribing in hospital: a mixed methods multisite study to inform decision support design in Australia.

Authors:  Melissa T Baysari; Mai Duong; Wu Yi Zheng; Amy Nguyen; Sarita Lo; Brendan Ng; Angus Ritchie; David Le Couteur; Andrew McLachlan; Alexandra Bennett; Sarah Hilmer
Journal:  BMJ Open       Date:  2019-09-27       Impact factor: 2.692

7.  Neonatal mortality prediction with routinely collected data: a machine learning approach.

Authors:  André F M Batista; Carmen S G Diniz; Eliana A Bonilha; Ichiro Kawachi; Alexandre D P Chiavegatto Filho
Journal:  BMC Pediatr       Date:  2021-07-21       Impact factor: 2.125
  7 in total

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