Peer Review History

Original SubmissionMay 3, 2020
Decision Letter - Claudia Marotta, Editor

PONE-D-20-12979

US Primary Care in 2029: A Delphi Survey on the Impact of Machine Learning

PLOS ONE

Dear Dr.ssa Blease,

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We look forward to receiving your revised manuscript.

Kind regards,

Claudia Marotta

Academic Editor

PLOS ONE

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We will update your Data Availability statement on your behalf to reflect the information you provide.

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4. Please include a caption for figure 3. (Figure 2 caption included 2x)

Additional Editor Comments (if provided):

Dear Authors,

I appreciate a lot your manuscript

Follow reviewer indications you can improve your article

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Congratulations for the appropriate methodology and for the clarity of your explanation.

Probably the only integration that can be useful in the discussion is the specification of why the shift towards computing and engineering in the educational background of students entering medical school is considered necessary:

- are there any risks if these techniques, which will become standards of care soon, are used in the absence of specific training? If there is any relevant literature please specify, if not it will be an interesting perspective to be pursued by further study.

Reviewer #2: Blease et al used a modified Delphi poll to solicit health informaticians’ predictions about the impact of AI/ML on primary care in US in 2029. The text is well-written and the flow is logical. The experiments are well-planned and executed. While there are many interesting questions that arise from this work, e.g. would there be contrasting predictions between medical experts with and without computer science background, the manuscript in its current form tells a coherent story and build a foundation for future work. One minor comment - I think the authors should cite Liyanago et al. (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697547/)

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

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Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Calogero Casà

Reviewer #2: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

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Revision 1

31 August 2020

Dear Plos One,

Thank you for the excellent feedback and for considering a resubmission of our paper. Please find our response to the reviewers and editor of our manuscript, below.

PONE-D-20-12979

US Primary Care in 2029: A Delphi Survey on the Impact of Machine Learning

PLOS ONE

Response to Editor

In your revised cover letter, please address the following prompts:

a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially identifying or sensitive patient information) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent.

Response: Round 1 of the Delphi Poll includes demographic data, and qualitative responses. Because of the sample size, even with de-identification of this data, it would be possible to re-identify the participants thereby posing a risk to respondents’ anonymity. In addition, Round 3 of the Delphi Poll comprised 13 bespoke, individual surveys to each participant. Again, this information cannot be shared publicly because of the need to ensure participant anonymity and confidentiality, as per ethical review. However, de-identified raw data is now available as a supplementary files Appendix 3 for Round 2 of the survey.

b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. Please see http://www.bmj.com/content/340/bmj.c181.long for guidelines on how to de-identify and prepare clinical data for publication. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories.

Response: Please see above.

We will update your Data Availability statement on your behalf to reflect the information you provide.

3. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information.

Response: now added.

4. Please include a caption for figure 3. (Figure 2 caption included 2x)

Response: We were unsure about what was being requested. Caption for Fig 3 is now included and highlighted in the text. Please let us know if any further amendments are required. Fig 3. Predicted changes in diagnostic accuracy in US primary care in 2029

Additional Editor Comments (if provided):

Dear Authors,

I appreciate a lot your manuscript

Follow reviewer indications you can improve your article

Response: Thank you.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

________________________________________

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

________________________________________

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

________________________________________

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

________________________________________

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Congratulations for the appropriate methodology and for the clarity of your explanation.

Probably the only integration that can be useful in the discussion is the specification of why the shift towards computing and engineering in the educational background of students entering medical school is considered necessary:

- are there any risks if these techniques, which will become standards of care soon, are used in the absence of specific training? If there is any relevant literature please specify, if not it will be an interesting perspective to be pursued by further study.

Response: We thank Reviewer 1 for these kind comments. Great point. While there is no relevant literature on the matter, we have now added the following nuanced point on page 22:

“However, the survey did not reveal whether experts perceived there to be risks of physicians using ML/AL tools without a computing and engineering background, or indeed, without an ethics or evidence-based perspective, on these techniques. The panel’s predictions on education trends should also be observed against the currently limited debate about the need for curricular changes in medical education.(37–39)”.

In addition, to draw out the ethical, as opposed to technical considerations, in the Conclusion we have added 2 additional citations on ethics and AI, to reflect the importance of ethical education to digital literacy among clinicians and the public:

Vayena E, Blasimme A, Cohen IG. Machine learning in medicine: Addressing ethical challenges. PLoS medicine. 2018;15(11):e1002689.

Zuboff S. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. Profile Books; 2019.

Reviewer #2: Blease et al used a modified Delphi poll to solicit health informaticians’ predictions about the impact of AI/ML on primary care in US in 2029. The text is well-written and the flow is logical. The experiments are well-planned and executed. While there are many interesting questions that arise from this work, e.g. would there be contrasting predictions between medical experts with and without computer science background, the manuscript in its current form tells a coherent story and build a foundation for future work. One minor comment - I think the authors should cite Liyanago et al. (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697547/)

________________________________________

Response: We thank Reviewer 2 for this encouraging feedback. We have now included the citation in the paper [citation 17]. On page 4 we have amended the text as follows:

“Currently, there is scarce exploration of consensus views among informaticians (17); in particular, on how AI/ML might meaningfully influence medical care in the short-term (18).”

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Calogero Casà

Reviewer #2: No

Attachments
Attachment
Submitted filename: Response to reviewers.docx
Decision Letter - Claudia Marotta, Editor

US Primary Care in 2029: A Delphi Survey on the Impact of Machine Learning

PONE-D-20-12979R1

Dear Dr. Blease,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Claudia Marotta

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Dear Authors, congratulations for your great article!

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The authors have exhaustively responded to previously requested minor revisions.

No further additions are required, the paper analyzes through a Delphi Survey the impact of Machine Learning methodologies in US Primary Care

Reviewer #2: Blease et al. addressed the minor point I raised and I am in favor of publishing this article in PLoS ONE.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Calogero Casà

Reviewer #2: No

Formally Accepted
Acceptance Letter - Claudia Marotta, Editor

PONE-D-20-12979R1

US Primary Care in 2029: A Delphi Survey on the Impact of Machine Learning

Dear Dr. Blease:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Claudia Marotta

Academic Editor

PLOS ONE

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