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4.
JAMA ; 332(13): 1051-1052, 2024 Oct 01.
Article in English | MEDLINE | ID: mdl-39230911

ABSTRACT

This Viewpoint discusses the bias that exists in artificial intelligence (AI) algorithms used in health care despite recent federal rules to prohibit discriminatory outcomes from AI and recommends ways in which health care facilities, AI developers, and regulators could share responsibilities and actions to address bias.


Subject(s)
Artificial Intelligence , Bias , Digital Health , Humans , Artificial Intelligence/standards , Digital Health/organization & administration , Digital Health/standards , Decision Support Systems, Clinical/organization & administration , Decision Support Systems, Clinical/standards , United States Dept. of Health and Human Services/standards , Software Design , Certification/standards
5.
JAMA ; 332(10): 787-788, 2024 09 10.
Article in English | MEDLINE | ID: mdl-39133493

ABSTRACT

This Viewpoint highlights the potential for artificial intelligence (AI) health care tools to introduce unintended patient harm; calls for an efficient, rigorous approach to AI testing and certification that is the shared responsibility of developers and users; and makes recommendations to inform such an approach.


Subject(s)
Artificial Intelligence , Certification , Digital Health , Medical Informatics , Humans , Artificial Intelligence/legislation & jurisprudence , Artificial Intelligence/standards , Medical Informatics/legislation & jurisprudence , Medical Informatics/standards , United States , Patient Safety/standards , Digital Health/legislation & jurisprudence , Digital Health/standards
6.
JAMA ; 332(10): 789-790, 2024 09 10.
Article in English | MEDLINE | ID: mdl-39133500

ABSTRACT

This Viewpoint discusses a suggested framework of local registries to record and track all health artificial intelligence technologies used in clinical care, with the goal of providing transparency on these technologies and helping speed adoption while also protecting patient well-being.


Subject(s)
Artificial Intelligence , Digital Health , Registries , Humans , Artificial Intelligence/standards , Registries/standards , Digital Health/standards , Practice Guidelines as Topic , Federal Government , United States , Risk Evaluation and Mitigation/standards
7.
Health Soc Care Deliv Res ; 12(21): 1-68, 2024 Jul.
Article in English | MEDLINE | ID: mdl-39056123

ABSTRACT

Background: General practices are facing challenges such as rising patient demand and difficulties recruiting and retaining general practitioners. Greater use of digital technology has been advocated as a way of mitigating some of these challenges and improving patient access. This includes Digital First Primary Care, when a patient's first contact with primary care is through a digital route, either through a laptop or smartphone. The use of Digital First Primary Care has been expedited since COVID-19. There is little evidence of staff experiences of using Digital First Primary Care with more complex patients, such as those with multiple long-term conditions. Objective: To understand the experiences of those with multiple long-term conditions of Digital First Primary Care from the perspectives of healthcare professionals and stakeholders. Design: This was a qualitative evaluation, comprised of four distinct work packages: Work package 1: Locating the study within the wider context, engaging with literature, and co-designing the study approach and research questions with patients. Work package 2: Interviews with health professionals working across general practice and key expert topic stakeholders, including academics and policy-makers. Work package 3: Analysis of data and generation of themes, and testing findings with patients. Work package 4: Synthesis, reporting and dissemination. Results: The study commenced in January 2021 and in total 28 interviews were conducted with 14 health professionals and 15 stakeholders between January and August 2022. From the perspective of health professionals, Digital First Primary Care approaches could enable patients to speak with a clinician more quickly than traditional approaches. Those with multiple long-term conditions could submit healthcare readings from home, though health professionals felt patients may struggle navigating digital systems not designed to capture the nuances associated with living with multiple conditions. Clinicians expressed preferences for seeing patients face-to-face, particularly those with multiple long-term conditions, to identify non-verbal cues about a patient's health. Digital First Primary Care approaches provided an opportunity for clinicians to engage with the carers of patients living with multiple long-term conditions, yet there were concerns around obtaining consent and confidentiality. There remain debates among stakeholders about the nature and extent to which Digital First Primary Care impacts on staff workload. Limitations: At the time of data collection, general practices were facing considerable pressure to deliver care and respond to the COVID-19 pandemic. While it was originally intended that the study would include interviews with patients with multiple long-term conditions and their carers, none of the general practices that took part in the study were willing and/or able to recruit patients and carers in the time available. Conclusions: The rapid implementation of Digital First Primary Care, at a time of immense pressures, meant there has been little time for considering the impact on patients, including those with multiple long-term conditions. The impacts on care continuity depended largely on how surgeries implemented their approaches. Staff and stakeholders felt that Digital First Primary Care, as an additional route for accessing primary care, could be useful for patients with multiple long-term conditions but not at the expense of face-to-face consultations. Future work: Future research obtaining patient and carer views of digital-first approaches, understanding the impacts on carers and how approaches are designed with patients with more complex conditions in mind, is essential. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 16/138/31) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 21. See the NIHR Funding and Awards website for further award information.


Healthcare professionals want to provide the best primary care in the face of increasing pressures, as well as improve access to care for patients. Digital First Primary Care is one response to this situation, when a patients' first contact with primary care is through a digital route, either through a laptop or smartphone. Online systems allow the patient to provide information to their practice about their symptoms or needs and request a response from a health professional. Our study aimed to understand how Digital First Primary Care works for healthcare professionals providing care to increasing numbers of patients with multiple long-term conditions and their carers. Firstly, we examined the relatively limited existing findings and then interviewed healthcare professionals and key stakeholders experienced in digital approaches within primary care (e.g. from policy organisations, universities and the National Health Service). While we attempted to speak to patients and carers directly, unfortunately the pressures in general practice meant we were unable to do so. However, the study was co-designed with patients. Healthcare professionals and stakeholders felt that patients with multiple long-term conditions faced additional challenges with the use of Digital First Primary Care compared to other patients. For example, they reported difficulties navigating online forms and not being able to speak with a general practitioner who knew them well. There were differing views from healthcare professionals and stakeholders about how far Digital First Primary Care could help staff in general practice and enhance care. For some clinicians, the workload was easier to manage and some simple tasks (e.g. sick notes) could be completed quickly. This could reduce stress for staff and mean more patients could be seen per day. Others felt that the digital system had shortcomings. This could be important for patients with multiple long-term conditions; for example, when a digital form may not fully inform the general practitioner as to the exact nature of the problem, potentially requiring a further follow-up appointment. Health professionals reported that carers of patients with multiple long-term conditions generally liked the new systems as they helped to improve contact with general practice staff. The summary was co-authored by members of the BRACE Patient and Public Involvement group.


Subject(s)
Digital Health , Multiple Chronic Conditions , Physician-Patient Relations , England , Multiple Chronic Conditions/therapy , Digital Health/standards , Digital Health/trends , Humans , State Medicine/organization & administration , State Medicine/standards , State Medicine/trends , Patient Satisfaction/statistics & numerical data , Physician Engagement/statistics & numerical data , Interviews as Topic
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