Literature DB >> 33936435

Learning Tasks of Pediatric Providers from Electronic Health Record Audit Logs.

Barrett Jones1, Xinmeng Zhang1, Bradley A Malin1, You Chen1.   

Abstract

The amount of time spent working in the Electronic Health Record (EHR) has become a burden for many providers. We propose computational methods to learn EHR tasks of Pediatrics residents and attending physicians in the treatment of healthy newborns by analyzing EHR audit log data. We perform statistical analyses of the association between EHR events and provider role, leverage word embedding, k-means, and ProM process mining software on audit log data to learn EHR tasks and visualize them. Residents more commonly perform note preparation and result viewing relative to attendings. Attendings perform more communication and chart review. Task workflows analysis resulted in 2 tasks for attendings and 3 tasks for residents. The attending tasks focus on chart review patient report and history, and inbox service. Primary themes for residents are admit/discharge with order creation, note review, and result review. ©2020 AMIA - All rights reserved.

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Year:  2021        PMID: 33936435      PMCID: PMC8075537     

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


  11 in total

1.  Analysis of Total Time Requirements of Electronic Health Record Use by Ophthalmologists Using Secondary EHR Data.

Authors:  Isaac H Goldstein; Michelle R Hribar; Leah G Reznick; Michael F Chiang
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

2.  Development of a cognitive framework of patient record summary review in the formative phase of user-centered design.

Authors:  Jan Horsky; Harley Z Ramelson
Journal:  J Biomed Inform       Date:  2016-10-08       Impact factor: 6.317

3.  Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations.

Authors:  Brian G Arndt; John W Beasley; Michelle D Watkinson; Jonathan L Temte; Wen-Jan Tuan; Christine A Sinsky; Valerie J Gilchrist
Journal:  Ann Fam Med       Date:  2017-09       Impact factor: 5.166

4.  Secondary use of electronic health record data for clinical workflow analysis.

Authors:  Michelle R Hribar; Sarah Read-Brown; Isaac H Goldstein; Leah G Reznick; Lorinna Lombardi; Mansi Parikh; Winston Chamberlain; Michael F Chiang
Journal:  J Am Med Inform Assoc       Date:  2018-01-01       Impact factor: 4.497

5.  Hospital stay for healthy term newborn infants.

Authors:  William E Benitz
Journal:  Pediatrics       Date:  2015-05       Impact factor: 7.124

6.  The electronic health record audit file: the patient is waiting.

Authors:  Annemarie G Hirsch; J B Jones; Virginia R Lerch; Xiaoqin Tang; Andrea Berger; Deserae N Clark; Walter F Stewart
Journal:  J Am Med Inform Assoc       Date:  2017-04-01       Impact factor: 4.497

7.  Long short-term memory RNN for biomedical named entity recognition.

Authors:  Chen Lyu; Bo Chen; Yafeng Ren; Donghong Ji
Journal:  BMC Bioinformatics       Date:  2017-10-30       Impact factor: 3.169

8.  Characterizing electronic health record usage patterns of inpatient medicine residents using event log data.

Authors:  Jason K Wang; David Ouyang; Jason Hom; Jeffrey Chi; Jonathan H Chen
Journal:  PLoS One       Date:  2019-02-06       Impact factor: 3.240

9.  Metrics for assessing physician activity using electronic health record log data.

Authors:  Christine A Sinsky; Adam Rule; Genna Cohen; Brian G Arndt; Tait D Shanafelt; Christopher D Sharp; Sally L Baxter; Ming Tai-Seale; Sherry Yan; You Chen; Julia Adler-Milstein; Michelle Hribar
Journal:  J Am Med Inform Assoc       Date:  2020-04-01       Impact factor: 4.497

10.  Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties.

Authors:  Christine Sinsky; Lacey Colligan; Ling Li; Mirela Prgomet; Sam Reynolds; Lindsey Goeders; Johanna Westbrook; Michael Tutty; George Blike
Journal:  Ann Intern Med       Date:  2016-09-06       Impact factor: 25.391

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  2 in total

1.  Identifying patterns in administrative tasks through structural topic modeling: A study of task definitions, prevalence, and shifts in a mental health practice's operations during the COVID-19 pandemic.

Authors:  Dessislava Pachamanova; Wiljeana Glover; Zhi Li; Michael Docktor; Nitin Gujral
Journal:  J Am Med Inform Assoc       Date:  2021-11-25       Impact factor: 7.942

2.  Predicting next-day discharge via electronic health record access logs.

Authors:  Xinmeng Zhang; Chao Yan; Bradley A Malin; Mayur B Patel; You Chen
Journal:  J Am Med Inform Assoc       Date:  2021-11-25       Impact factor: 7.942

  2 in total

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