Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Reimagining Clinical Documentation With Artificial Intelligence.

Literature DB >> 29631808

Reimagining Clinical Documentation With Artificial Intelligence.

Steven Y Lin¹, Tait D Shanafelt², Steven M Asch³.

Abstract

Mesh：

Year: 2018 PMID： 29631808 DOI： 10.1016/j.mayocp.2018.02.016

Source DB: PubMed Journal: Mayo Clin Proc ISSN： 0025-6196 Impact factor: 7.616

Keyword Cloud
Cited

× No keyword cloud information.

13 in total

1. Assessing the accuracy of automatic speech recognition for psychotherapy.

Authors: Adam S Miner; Albert Haque; Jason A Fries; Scott L Fleming; Denise E Wilfley; G Terence Wilson; Arnold Milstein; Dan Jurafsky; Bruce A Arnow; W Stewart Agras; Li Fei-Fei; Nigam H Shah
Journal: NPJ Digit Med Date: 2020-06-03

2. Ten Ways Artificial Intelligence Will Transform Primary Care.

Authors: Steven Y Lin; Megan R Mahoney; Christine A Sinsky
Journal: J Gen Intern Med Date: 2019-05-14 Impact factor: 5.128

3. Development and Validation of a Machine Learning Model for Automated Assessment of Resident Clinical Reasoning Documentation.

Authors: Verity Schaye; Benedict Guzman; Jesse Burk-Rafel; Marina Marin; Ilan Reinstein; David Kudlowitz; Louis Miller; Jonathan Chun; Yindalon Aphinyanaphongs
Journal: J Gen Intern Med Date: 2022-06-16 Impact factor: 6.473

4. "I Didn't Want My Baby to Pass, But I Didn't Want Him Suffering Either": Comparing Bereaved Parents' Narratives With Nursing End-of-Life Assessments in the Pediatric Intensive Care Unit.

Authors: Elizabeth G Broden; Pamela S Hinds; Allison V Werner-Lin; Martha A Q Curley
Journal: J Hosp Palliat Nurs Date: 2022-06-06 Impact factor: 2.131

10. Qualitative and quantitative approach to assess of the potential for automating administrative tasks in general practice.

Authors: Matthew Willis; Paul Duckworth; Angela Coulter; Eric T Meyer; Michael Osborne
Journal: BMJ Open Date: 2020-06-08 Impact factor: 2.692

Reimagining Clinical Documentation With Artificial Intelligence.

1. Assessing the accuracy of automatic speech recognition for psychotherapy.

2. Ten Ways Artificial Intelligence Will Transform Primary Care.

3. Development and Validation of a Machine Learning Model for Automated Assessment of Resident Clinical Reasoning Documentation.

4. "I Didn't Want My Baby to Pass, But I Didn't Want Him Suffering Either": Comparing Bereaved Parents' Narratives With Nursing End-of-Life Assessments in the Pediatric Intensive Care Unit.

5. Emergency medicine residents spend over 7.5 months of their 3-year residency on the electronic health record.

6. Assessing the accuracy of automatic speech recognition for psychotherapy.

7. Strategies for improving physician documentation in the emergency department: a systematic review.

8. A network model of activities in primary care consultations.

Review 9. Challenges of developing a digital scribe to reduce clinical documentation burden.

10. Qualitative and quantitative approach to assess of the potential for automating administrative tasks in general practice.