Literature DB >> 30904127

Automation to optimise physician treatment of individual patients: examples in psychiatry.

Michael Bauer1, Scott Monteith2, John Geddes3, Michael J Gitlin4, Paul Grof5, Peter C Whybrow4, Tasha Glenn6.   

Abstract

There is widespread agreement by health-care providers, medical associations, industry, and governments that automation using digital technology could improve the delivery and quality of care in psychiatry, and reduce costs. Many benefits from technology have already been realised, along with the identification of many challenges. In this Review, we discuss some of the challenges to developing effective automation for psychiatry to optimise physician treatment of individual patients. Using the perspective of automation experts in other industries, three examples of automation in the delivery of routine care are reviewed: (1) effects of electronic medical records on the patient interview; (2) effects of complex systems integration on e-prescribing; and (3) use of clinical decision support to assist with clinical decision making. An increased understanding of the experience of automation from other sectors might allow for more effective deployment of technology in psychiatry.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 30904127     DOI: 10.1016/S2215-0366(19)30041-0

Source DB:  PubMed          Journal:  Lancet Psychiatry        ISSN: 2215-0366            Impact factor:   27.083


  7 in total

Review 1.  Psychiatry in the Digital Age: A Blessing or a Curse?

Authors:  Carl B Roth; Andreas Papassotiropoulos; Annette B Brühl; Undine E Lang; Christian G Huber
Journal:  Int J Environ Res Public Health       Date:  2021-08-05       Impact factor: 3.390

2.  AI in patient flow: applications of artificial intelligence to improve patient flow in NHS acute mental health inpatient units.

Authors:  Fatema Mustansir Dawoodbhoy; Jack Delaney; Paulina Cecula; Jiakun Yu; Iain Peacock; Joseph Tan; Benita Cox
Journal:  Heliyon       Date:  2021-05-12

Review 3.  Smartphones in mental health: a critical review of background issues, current status and future concerns.

Authors:  Michael Bauer; Tasha Glenn; John Geddes; Michael Gitlin; Paul Grof; Lars V Kessing; Scott Monteith; Maria Faurholt-Jepsen; Emanuel Severus; Peter C Whybrow
Journal:  Int J Bipolar Disord       Date:  2020-01-10

Review 4.  Conceptualising fairness: three pillars for medical algorithms and health equity.

Authors:  Laura Sikstrom; Marta M Maslej; Katrina Hui; Zoe Findlay; Daniel Z Buchman; Sean L Hill
Journal:  BMJ Health Care Inform       Date:  2022-01

5.  Functional and Process Model on Big Data, Machine Learning, and Digital Phenotyping in Clinical Psychiatry.

Authors:  Arunkumar Annamalai
Journal:  Indian J Psychol Med       Date:  2022-06-21

Review 6.  Expectations for Artificial Intelligence (AI) in Psychiatry.

Authors:  Scott Monteith; Tasha Glenn; John Geddes; Peter C Whybrow; Eric Achtyes; Michael Bauer
Journal:  Curr Psychiatry Rep       Date:  2022-10-10       Impact factor: 8.081

Review 7.  Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review.

Authors:  Piers Gooding; Timothy Kariotis
Journal:  JMIR Ment Health       Date:  2021-06-10
  7 in total

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