Evaluation and comparison of errors on nursing notes created by online and offline speech recognition technology and handwritten: an interventional study.

Peivandi, Sahar; Ahmadian, Leila; Farokhzadian, Jamileh; Jahani, Yunes

Peivandi, Sahar; Ahmadian, Leila; Farokhzadian, Jamileh; Jahani, Yunes.

Affiliation

Peivandi S; Department of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Ahmadian L; Department of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran. ahmadianle@yahoo.com.
Farokhzadian J; Nursing Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Jahani Y; Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.

BMC Med Inform Decis Mak ; 22(1): 96, 2022 04 08.

Article in En | MEDLINE | ID: mdl-35395798

Subject(s)

Speech Perception; Documentation; Humans; Speech; Speech Recognition Software; Technology

Key words

Documentation; Electronic medical record; Errors; Nurses; Nursing note; Paper note; Speech recognition software; Voice recognition

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Speech Perception Limits: Humans Language: En Journal: BMC Med Inform Decis Mak Journal subject: INFORMATICA MEDICA Year: 2022 Type: Article Affiliation country: Iran

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