| 11. |
- Blease, Charlotte, et al.
(author)
-
US primary care in 2029 : A Delphi survey on the impact of machine learning
- 2020
-
In: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 15:10
-
Journal article (peer-reviewed)abstract
- Objective: To solicit leading health informaticians' predictions about the impact of AI/ML on primary care in the US in 2029.Design: A three-round online modified Delphi poll.Participants: Twenty-nine leading health informaticians.Methods: In September 2019, health informatics experts were selected by the research team, and invited to participate the Delphi poll. Participation in each round was anonymous, and panelists were given between 4-8 weeks to respond to each round. In Round 1 open-ended questions solicited forecasts on the impact of AI/ML on: (1) patient care, (2) access to care, (3) the primary care workforce, (4) technological breakthroughs, and (5) the long-future for primary care physicians. Responses were coded to produce itemized statements. In Round 2, participants were invited to rate their agreement with each item along 7-point Likert scales. Responses were analyzed for consensus which was set at a predetermined interquartile range of ≤ 1. In Round 3 items that did not reach consensus were redistributed.Results: A total of 16 experts participated in Round 1 (16/29, 55%). Of these experts 13/16 (response rate, 81%), and 13/13 (response rate, 100%), responded to Rounds 2 and 3, respectively. As a result of developments in AI/ML by 2029 experts anticipated workplace changes including incursions into the disintermediation of physician expertise, and increased AI/ML training requirements for medical students. Informaticians also forecast that by 2029 AI/ML will increase diagnostic accuracy especially among those with limited access to experts, minorities and those with rare diseases. Expert panelists also predicted that AI/ML-tools would improve access to expert doctor knowledge.Cconclusions: This study presents timely information on informaticians' consensus views about the impact of AI/ML on US primary care in 2029. Preparation for the near-future of primary care will require improved levels of digital health literacy among patients and physicians.
|
|
| 12. |
|
|
| 13. |
- Salmi, Liz, et al.
(author)
-
US policy requires immediate release of records to patients
- 2021
-
In: The BMJ. - : BMJ Publishing Group Ltd. - 1756-1833. ; 372
-
Journal article (peer-reviewed)abstract
- Patients and clinicians should embrace the opportunitiesOn 5 April a new federal rule will require US healthcare providers to give patients access to all the health information in their electronic medical records without charge.1 This new information sharing rule from the 21st Century Cures Act of 20162 mandates rapid, full access to test results, medication lists, referral information, and clinical notes in electronic formats, on request.The US is not alone in providing patients with full online access to their electronic health records. In Sweden, patients gained access to their records between 2012 and 2018.3 Estonian citizens have had full access since 2005.4 The sharing of personal health information isn’t without precedent in the US: around 55 million people already have access to their online clinical notes,5 and many more have access to laboratory results and other parts of their records. But for some US clinicians, the new rule may feel like a shock.6To patient groups, however, it is the culmination of 25 years of advocacy and relationship building with clinicians, researchers, and policy …
|
|
