Literature DB >> 33625360

The Computer Will See You Now: Overcoming Barriers to Adoption of Computer-Assisted History Taking (CAHT) in Primary Care.

Pier Spinazze1, Jiska Aardoom2, Niels Chavannes2, Marise Kasteleyn2.   

Abstract

Patient health information is increasingly collected through multiple modalities, including electronic health records, wearables, and connected devices. Computer-assisted history taking could provide an additional channel to collect highly relevant, comprehensive, and accurate patient information while reducing the burden on clinicians and face-to-face consultation time. Considering restrictions to consultation time and the associated negative health outcomes, patient-provided health data outside of consultation can prove invaluable in health care delivery. Over the years, research has highlighted the numerous benefits of computer-assisted history taking; however, the limitations have proved an obstacle to adoption. In this viewpoint, we review these limitations under 4 main categories (accessibility, affordability, accuracy, and acceptability) and discuss how advances in technology, computing power, and ubiquity of personal devices offer solutions to overcoming these. ©Pier Spinazze, Jiska Aardoom, Niels Chavannes, Marise Kasteleyn. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.02.2021.

Entities:  

Keywords:  clinical consultation; computer-assisted history taking; digital health; electronic health record; history taking; patient-provided health information

Year:  2021        PMID: 33625360      PMCID: PMC7946588          DOI: 10.2196/19306

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  42 in total

Review 1.  Computer-assisted versus oral-and-written family history taking for identifying people with elevated risk of type 2 diabetes mellitus.

Authors:  Yannis Pappas; Igor Wei; Josip Car; Azeem Majeed; Aziz Sheikh
Journal:  Cochrane Database Syst Rev       Date:  2011-12-07

2.  Improving care with an automated patient history.

Authors:  John Bachman
Journal:  Fam Pract Manag       Date:  2007 Jul-Aug

Review 3.  Time and the patient-physician relationship.

Authors:  D C Dugdale; R Epstein; S Z Pantilat
Journal:  J Gen Intern Med       Date:  1999-01       Impact factor: 5.128

4.  Health Data and Privacy in the Digital Era.

Authors:  Lawrence O Gostin; Sam F Halabi; Kumanan Wilson
Journal:  JAMA       Date:  2018-07-17       Impact factor: 56.272

5.  EHRs: The Challenge of Making Electronic Data Usable and Interoperable.

Authors:  Miriam Reisman
Journal:  P T       Date:  2017-09

6.  Development of a computer-assisted method for the collection, organization, and use of patient health history information in physical therapy.

Authors:  N J Zimny; C J Tandy
Journal:  J Orthop Sports Phys Ther       Date:  1993-02       Impact factor: 4.751

7.  A computer-assisted preanesthesia interview: value of a computer-generated summary of patient's historical information in the preanesthesia visit.

Authors:  B M Tompkins; W J Tompkins; E Loder; A F Noonan
Journal:  Anesth Analg       Date:  1980-01       Impact factor: 5.108

8.  Underutilization of information and knowledge in everyday medical practice: evaluation of a computer-based solution.

Authors:  David Zakim; Niko Braun; Peter Fritz; Mark Dominik Alscher
Journal:  BMC Med Inform Decis Mak       Date:  2008-11-05       Impact factor: 2.796

9.  Analysis of Errors in Dictated Clinical Documents Assisted by Speech Recognition Software and Professional Transcriptionists.

Authors:  Li Zhou; Suzanne V Blackley; Leigh Kowalski; Raymond Doan; Warren W Acker; Adam B Landman; Evgeni Kontrient; David Mack; Marie Meteer; David W Bates; Foster R Goss
Journal:  JAMA Netw Open       Date:  2018-07-06

Review 10.  A Survey of Automatic Facial Micro-Expression Analysis: Databases, Methods, and Challenges.

Authors:  Yee-Hui Oh; John See; Anh Cat Le Ngo; Raphael C-W Phan; Vishnu M Baskaran
Journal:  Front Psychol       Date:  2018-07-10
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  1 in total

1.  Accuracy of Cloud-Based Speech Recognition Open Application Programming Interface for Medical Terms of Korean.

Authors:  Seung-Hwa Lee; Jungchan Park; Kwangmo Yang; Jeongwon Min; Jinwook Choi
Journal:  J Korean Med Sci       Date:  2022-05-09       Impact factor: 2.153

  1 in total

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