Literature DB >> 33447854

Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper.

Carolyn Petersen1, Jeffery Smith2, Robert R Freimuth3, Kenneth W Goodman4, Gretchen Purcell Jackson5,6, Joseph Kannry7, Hongfang Liu8, Subha Madhavan9, Dean F Sittig10, Adam Wright11.   

Abstract

The development and implementation of clinical decision support (CDS) that trains itself and adapts its algorithms based on new data-here referred to as Adaptive CDS-present unique challenges and considerations. Although Adaptive CDS represents an expected progression from earlier work, the activities needed to appropriately manage and support the establishment and evolution of Adaptive CDS require new, coordinated initiatives and oversight that do not currently exist. In this AMIA position paper, the authors describe current and emerging challenges to the safe use of Adaptive CDS and lay out recommendations for the effective management and monitoring of Adaptive CDS.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  artificial intelligence; clinical decision support; health policy; machine learning; software as a medical device

Mesh：

Year:  2021        PMID： 33447854      PMCID： PMC7973467          DOI： 10.1093/jamia/ocaa319

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN： 1067-5027            Impact factor:   4.497


  28 in total

1.  Addressing health disparities in the Food and Drug Administration's artificial intelligence and machine learning regulatory framework.

Authors:  Kadija Ferryman
Journal:  J Am Med Inform Assoc       Date:  2020-12-09       Impact factor: 4.497

2.  Towards a Maturity Model for Clinical Decision Support Operations.

Authors:  Evan W Orenstein; Naveen Muthu; Asli O Weitkamp; Daria F Ferro; Mike D Zeidlhack; Jason Slagle; Eric Shelov; Marc C Tobias
Journal:  Appl Clin Inform       Date:  2019-10-30       Impact factor: 2.342

3.  Best practices for preventing malfunctions in rule-based clinical decision support alerts and reminders: Results of a Delphi study.

Authors:  Adam Wright; Joan S Ash; Skye Aaron; Angela Ai; Thu-Trang T Hickman; Jane F Wiesen; William Galanter; Allison B McCoy; Richard Schreiber; Christopher A Longhurst; Dean F Sittig
Journal:  Int J Med Inform       Date:  2018-08-02       Impact factor: 4.046

Review 4.  Ethical and legal issues related to the use of computer programs in clinical medicine.

Authors:  R A Miller; K F Schaffner; A Meisel
Journal:  Ann Intern Med       Date:  1985-04       Impact factor: 25.391

5.  Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.

Authors:  Karel G M Moons; Douglas G Altman; Johannes B Reitsma; John P A Ioannidis; Petra Macaskill; Ewout W Steyerberg; Andrew J Vickers; David F Ransohoff; Gary S Collins
Journal:  Ann Intern Med       Date:  2015-01-06       Impact factor: 25.391

6.  Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation.

Authors:  Marco V Perez; Kenneth W Mahaffey; Haley Hedlin; John S Rumsfeld; Ariadna Garcia; Todd Ferris; Vidhya Balasubramanian; Andrea M Russo; Amol Rajmane; Lauren Cheung; Grace Hung; Justin Lee; Peter Kowey; Nisha Talati; Divya Nag; Santosh E Gummidipundi; Alexis Beatty; Mellanie True Hills; Sumbul Desai; Christopher B Granger; Manisha Desai; Mintu P Turakhia
Journal:  N Engl J Med       Date:  2019-11-14       Impact factor: 176.079

7.  Improving Provider Adoption With Adaptive Clinical Decision Support Surveillance: An Observational Study.

Authors:  Sundas Khan; Safiya Richardson; Andrew Liu; Vinodh Mechery; Lauren McCullagh; Andy Schachter; Salvatore Pardo; Thomas McGinn
Journal:  JMIR Hum Factors       Date:  2019-02-20

Review 8.  The Do-It-Yourself Artificial Pancreas: A Comprehensive Review.

Authors:  Jothydev Kesavadev; Seshadhri Srinivasan; Banshi Saboo; Meera Krishna B; Gopika Krishnan
Journal:  Diabetes Ther       Date:  2020-04-30       Impact factor: 2.945

9.  Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies.

Authors:  Myura Nagendran; Yang Chen; Christopher A Lovejoy; Anthony C Gordon; Matthieu Komorowski; Hugh Harvey; Eric J Topol; John P A Ioannidis; Gary S Collins; Mahiben Maruthappu
Journal:  BMJ       Date:  2020-03-25
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  13 in total

1.  Predicting the Travel Distance of Patients to Access Healthcare Using Deep Neural Networks.

Authors:  Li-Chin Chen; Ji-Tian Sheu; Yuh-Jue Chuang; Yu Tsao
Journal:  IEEE J Transl Eng Health Med       Date:  2021-12-08       Impact factor: 3.316

2.  Defining AMIA's artificial intelligence principles.

Authors:  Anthony E Solomonides; Eileen Koski; Shireen M Atabaki; Scott Weinberg; John D McGreevey; Joseph L Kannry; Carolyn Petersen; Christoph U Lehmann
Journal:  J Am Med Inform Assoc       Date:  2022-03-15       Impact factor: 4.497

Review 3.  Artificial intelligence-based clinical decision support in pediatrics.

Authors:  Sriram Ramgopal; L Nelson Sanchez-Pinto; Christopher M Horvat; Michael S Carroll; Yuan Luo; Todd A Florin
Journal:  Pediatr Res       Date:  2022-07-29       Impact factor: 3.953

4.  Automation in nursing decision support systems: A systematic review of effects on decision making, care delivery, and patient outcomes.

Authors:  Saba Akbar; David Lyell; Farah Magrabi
Journal:  J Am Med Inform Assoc       Date:  2021-10-12       Impact factor: 7.942

5.  Development of a computer-aided text message platform for user engagement with a digital Diabetes Prevention Program: a case study.

Authors:  Danissa V Rodriguez; Katharine Lawrence; Son Luu; Jonathan L Yu; Dawn M Feldthouse; Javier Gonzalez; Devin Mann
Journal:  J Am Med Inform Assoc       Date:  2021-12-28       Impact factor: 7.942

6.  The Potential and the Imperative: the Gap in AI-Related Clinical Competencies and the Need to Close It.

Authors:  Kim V Garvey; Kelly Jean Thomas Craig; Regina G Russell; Laurie Novak; Don Moore; Anita M Preininger; Gretchen P Jackson; Bonnie M Miller
Journal:  Med Sci Educ       Date:  2021-09-09

7.  Peeking into a black box, the fairness and generalizability of a MIMIC-III benchmarking model.

Authors:  Eliane Röösli; Selen Bozkurt; Tina Hernandez-Boussard
Journal:  Sci Data       Date:  2022-01-24       Impact factor: 6.444

Review 8.  Timing of antibiotic therapy in the ICU.

Authors:  Marin H Kollef; Andrew F Shorr; Matteo Bassetti; Jean-Francois Timsit; Scott T Micek; Andrew P Michelson; Jose Garnacho-Montero
Journal:  Crit Care       Date:  2021-10-15       Impact factor: 9.097

9.  A survey of extant organizational and computational setups for deploying predictive models in health systems.

Authors:  Sehj Kashyap; Keith E Morse; Birju Patel; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2021-10-12       Impact factor: 4.497

10.  Algorithm Change Protocols in the Regulation of Adaptive Machine Learning-Based Medical Devices.

Authors:  Stephen Gilbert; Matthew Fenech; Martin Hirsch; Shubhanan Upadhyay; Andrea Biasiucci; Johannes Starlinger
Journal:  J Med Internet Res       Date:  2021-10-26       Impact factor: 5.428
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