Literature DB >> 31090027

Ten Ways Artificial Intelligence Will Transform Primary Care.

Steven Y Lin1, Megan R Mahoney2, Christine A Sinsky3.   

Abstract

Artificial intelligence (AI) is poised as a transformational force in healthcare. This paper presents a current environmental scan, through the eyes of primary care physicians, of the top ten ways AI will impact primary care and its key stakeholders. We discuss ten distinct problem spaces and the most promising AI innovations in each, estimating potential market sizes and the Quadruple Aims that are most likely to be affected. Primary care is where the power, opportunity, and future of AI are most likely to be realized in the broadest and most ambitious scale. We propose how these AI-powered innovations must augment, not subvert, the patient-physician relationship for physicians and patients to accept them. AI implemented poorly risks pushing humanity to the margins; done wisely, AI can free up physicians' cognitive and emotional space for patients, and shift the focus away from transactional tasks to personalized care. The challenge will be for humans to have the wisdom and willingness to discern AI's optimal role in twenty-first century healthcare, and to determine when it strengthens and when it undermines human healing. Ongoing research will determine the impact of AI technologies in achieving better care, better health, lower costs, and improved well-being of the workforce.

Entities:  

Keywords:  Quadruple Aim; artificial intelligence; patient–physician relationship; primary care

Year:  2019        PMID: 31090027      PMCID: PMC6667610          DOI: 10.1007/s11606-019-05035-1

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  22 in total

1.  Putting Pre-Visit Planning Into Practice.

Authors:  Christine A Sinsky; Thomas A Sinsky; Ellie Rajcevich
Journal:  Fam Pract Manag       Date:  2015 Nov-Dec

2.  Humanizing Artificial Intelligence.

Authors:  Sonoo Thadaney Israni; Abraham Verghese
Journal:  JAMA       Date:  2019-01-01       Impact factor: 56.272

3.  Acceptability of Robot Assistant in Management of Type 1 Diabetes in Children.

Authors:  Majid A Al-Taee; Ritika Kapoor; Christopher Garrett; Pratik Choudhary
Journal:  Diabetes Technol Ther       Date:  2016-08-01       Impact factor: 6.118

4.  The Business Case for Investing in Physician Well-being.

Authors:  Tait Shanafelt; Joel Goh; Christine Sinsky
Journal:  JAMA Intern Med       Date:  2017-12-01       Impact factor: 21.873

5.  Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations.

Authors:  Brian G Arndt; John W Beasley; Michelle D Watkinson; Jonathan L Temte; Wen-Jan Tuan; Christine A Sinsky; Valerie J Gilchrist
Journal:  Ann Fam Med       Date:  2017-09       Impact factor: 5.166

6.  Reimagining Clinical Documentation With Artificial Intelligence.

Authors:  Steven Y Lin; Tait D Shanafelt; Steven M Asch
Journal:  Mayo Clin Proc       Date:  2018-04-07       Impact factor: 7.616

7.  From Transactional Tasks to Personalized Care: A New Vision of Physicians' Roles.

Authors:  David B Reuben; Christine A Sinsky
Journal:  Ann Fam Med       Date:  2018-03       Impact factor: 5.166

8.  Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.

Authors:  Awni Y Hannun; Pranav Rajpurkar; Masoumeh Haghpanahi; Geoffrey H Tison; Codie Bourn; Mintu P Turakhia; Andrew Y Ng
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

9.  Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot study.

Authors:  Stuart Keel; Pei Ying Lee; Jane Scheetz; Zhixi Li; Mark A Kotowicz; Richard J MacIsaac; Mingguang He
Journal:  Sci Rep       Date:  2018-03-12       Impact factor: 4.379

10.  Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties.

Authors:  Christine Sinsky; Lacey Colligan; Ling Li; Mirela Prgomet; Sam Reynolds; Lindsey Goeders; Johanna Westbrook; Michael Tutty; George Blike
Journal:  Ann Intern Med       Date:  2016-09-06       Impact factor: 25.391

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  18 in total

Review 1.  Artificial Intelligence and Primary Care Research: A Scoping Review.

Authors:  Jacqueline K Kueper; Amanda L Terry; Merrick Zwarenstein; Daniel J Lizotte
Journal:  Ann Fam Med       Date:  2020-05       Impact factor: 5.166

2.  Primer for artificial intelligence in primary care.

Authors:  Jacqueline K Kueper
Journal:  Can Fam Physician       Date:  2021-12       Impact factor: 3.275

3. 

Authors:  Jacqueline K Kueper
Journal:  Can Fam Physician       Date:  2021-12       Impact factor: 3.275

Review 4.  The Promise of Digital Health: Then, Now, and the Future.

Authors:  Amy Abernethy; Laura Adams; Meredith Barrett; Christine Bechtel; Patricia Brennan; Atul Butte; Judith Faulkner; Elaine Fontaine; Stephen Friedhoff; John Halamka; Michael Howell; Kevin Johnson; Peter Long; Deven McGraw; Redonda Miller; Peter Lee; Jonathan Perlin; Donald Rucker; Lew Sandy; Lucia Savage; Lisa Stump; Paul Tang; Eric Topol; Reed Tuckson; Kristen Valdes
Journal:  NAM Perspect       Date:  2022-06-27

5.  From Code to Bedside: Implementing Artificial Intelligence Using Quality Improvement Methods.

Authors:  Margaret Smith; Amelia Sattler; Grace Hong; Steven Lin
Journal:  J Gen Intern Med       Date:  2021-01-19       Impact factor: 5.128

6.  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

7.  Ethical Use of Electronic Health Record Data and Artificial Intelligence: Recommendations of the Primary Care Informatics Working Group of the International Medical Informatics Association.

Authors:  Siaw-Teng Liaw; Harshana Liyanage; Craig Kuziemsky; Amanda L Terry; Richard Schreiber; Jitendra Jonnagaddala; Simon de Lusignan
Journal:  Yearb Med Inform       Date:  2020-04-17

Review 8.  Artificial Intelligence, Big Data, and mHealth: The Frontiers of the Prevention of Violence Against Children.

Authors:  Xanthe Hunt; Mark Tomlinson; Siham Sikander; Sarah Skeen; Marguerite Marlow; Stefani du Toit; Manuel Eisner
Journal:  Front Artif Intell       Date:  2020-10-22

9.  Predicting Self-Rated Health Across the Life Course: Health Equity Insights from Machine Learning Models.

Authors:  Cheryl R Clark; Mark J Ommerborn; Kaitlyn Moran; Katherine Brooks; Jennifer Haas; David W Bates; Adam Wright
Journal:  J Gen Intern Med       Date:  2021-02-23       Impact factor: 5.128

10.  Digital health and primary care: Past, pandemic and prospects.

Authors:  Claudia Pagliari
Journal:  J Glob Health       Date:  2021-07-02       Impact factor: 4.413

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