Exploring the role of physician associates in Aotearoa New Zealand primary health care.

Introduction New Zealand's health care system faces significant shortages in health care workers. To address workforce challenges and meet the population's health needs, health care systems around the world have introduced new clinical roles, such as physician associates/assistants (PAs) into existing health care teams. Aim This article aims to examine the benefits, challenges, and broader implications of regulating PAs in the context of New Zealand's primary care sector, with a specific emphasis on how it may impact general practice. Methods A range of literature surrounding the role, impact, and perception of PAs were selected and included in this article. Results The PA profession can significantly strengthen New Zealand's primary care workforce, improving patient access and continuity of care. However, the global deployment of PAs has faced scrutiny due to concerns about its potential risks to patient safety and the overall viability of such a role. Discussion If regulated, the PA profession can reshape New Zealand's primary care, offering a partial solution to current medical staff shortages. Trained under a generalised medical model similar to doctors, PAs possess the necessary skills to perform both routine and non-routine medical tasks. This dual capability can significantly improve primary care service provision, reduce existing workloads, and allow for a more efficient deployment of doctor expertise. However, medico-legal issues and the supervisory burden can impede widespread integration into general practice. Despite challenges, the success of the PA role relies on mutual trust, respect, and support from other clinical team members within primary health care.

Understanding the "Infodemic" Threat: A Case Study of the COVID-19 Pandemic.

The coronavirus disease 2019 (COVID-19) pandemic is notable among infectious diseases for its distinctive impact, which has halted millions of livelihoods owing to strict social distancing rules and lockdowns. Consequently, millions of individuals have turned to online sources, particularly social media, to remain informed about the virus. The transition to digital sources has resulted in an abundance of information, including both accurate and misleading or false content being shared and consumed on online platforms, contributing to what is commonly referred to as an "infodemic." Although these platforms have been valuable tools for healthcare professionals and public health authorities in disseminating crucial public health messages, they have also aided in the spread of misleading and false information. The widespread dissemination of false information has been instrumental in propagating harmful beliefs and behaviors such as vaccine hesitancy, promoting discriminatory attitudes, and endorsing false beliefs about the efficacy of certain therapeutic products for treating COVID-19. False information has undoubtedly become a challenge and burden for governments, health professionals, and the general population. This review has three main objectives: (1) to assess the scope of the "infodemic" issue, including investigating the factors contributing to the spread of false information online; (2) to examine the multifaceted consequences resulting from false information; and (3) to argue that an interdisciplinary, multi-layered approach, encompassing a focus on prevention, deterrence, and education, should be adopted to prevent the conception and dissemination of false information in this modern digital age.

ACC and treatment injuries: is it time to rethink injury causation?

In Aotearoa New Zealand, personal injuries resulting from medical treatment are covered under the Accident Compensation Act 2001. However, before victims of medical injury can receive cover and compensation, they must first satisfy several legal tests. Much criticism and legal action have surrounded the interpretation and application of these legal tests, primarily because of its focus lying on injury causation instead of supporting the incapacitated. This article examines the issues present within the current legislative framework for treatment injury coverage and proposes a potential solution to address the underlying problem.

Potential applications and implications of large language models in primary care.

The recent release of highly advanced generative artificial intelligence (AI) chatbots, including ChatGPT and Bard, which are powered by large language models (LLMs), has attracted growing mainstream interest over its diverse applications in clinical practice, including in health and healthcare. The potential applications of LLM-based programmes in the medical field range from assisting medical practitioners in improving their clinical decision-making and streamlining administrative paperwork to empowering patients to take charge of their own health. However, despite the broad range of benefits, the use of such AI tools also comes with several limitations and ethical concerns that warrant further consideration, encompassing issues related to privacy, data bias, and the accuracy and reliability of information generated by AI. The focus of prior research has primarily centred on the broad applications of LLMs in medicine. To the author's knowledge, this is, the first article that consolidates current and pertinent literature on LLMs to examine its potential in primary care. The objectives of this paper are not only to summarise the potential benefits, risks and challenges of using LLMs in primary care, but also to offer insights into considerations that primary care clinicians should take into account when deciding to adopt and integrate such technologies into their clinical practice.

The COVIDome Explorer researcher portal.

COVID-19 pathology involves dysregulation of diverse molecular, cellular, and physiological processes. To expedite integrated and collaborative COVID-19 research, we completed multi-omics analysis of hospitalized COVID-19 patients, including matched analysis of the whole-blood transcriptome, plasma proteomics with two complementary platforms, cytokine profiling, plasma and red blood cell metabolomics, deep immune cell phenotyping by mass cytometry, and clinical data annotation. We refer to this multidimensional dataset as the COVIDome. We then created the COVIDome Explorer, an online researcher portal where the data can be analyzed and visualized in real time. We illustrate herein the use of the COVIDome dataset through a multi-omics analysis of biosignatures associated with C-reactive protein (CRP), an established marker of poor prognosis in COVID-19, revealing associations between CRP levels and damage-associated molecular patterns, depletion of protective serpins, and mitochondrial metabolism dysregulation. We expect that the COVIDome Explorer will rapidly accelerate data sharing, hypothesis testing, and discoveries worldwide.