AIMC Topic: Primary Health Care

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Primary care physicians' perceived barriers, facilitators and strategies to enhance conservative care for older adults with chronic kidney disease: a qualitative descriptive study.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
BACKGROUND: Although primary care physicians (PCPs) are often responsible for the routine care of older adults with chronic kidney disease (CKD), there is a paucity of evidence regarding their perspectives and practice of conservative (non-dialysis) ...

Acceptability and usability of a telepresence robot for geriatric primary care: A pilot.

Geriatric nursing (New York, N.Y.)
The dual challenge of increasing numbers of older adults and overall increases in those with some form of insurance is driving the need to develop and evaluate novel methods of primary care delivery such as telehealth. The goal of this study was to e...

Effectiveness of artificial intelligence-based diabetic retinopathy screening in primary care and endocrinology settings in Australia: a pragmatic trial.

The British journal of ophthalmology
PURPOSE: To investigate the diagnostic accuracy, feasibility and end-user experiences of an artificial intelligence (AI)-based, automated diabetic retinopathy (DR) screening model in real-world, Australian primary care and endocrinology clinics.

Generative artificial intelligence for general practice; new potential ahead, but are we ready?

The European journal of general practice
BACKGROUND: Generative AI (Gen AI) is frequently cited as an innovation to address the current challenges in healthcare, also for primary care. Examples include automating tasks like voice-to-notes transcription or chatbots using large language model...

AI-IoT integration in Tanzania's primary healthcare system: a narrative review.

Journal of health organization and management
PURPOSE: This narrative review explores the integration of artificial intelligence (AI) and Internet of Things (IoT) technologies in Tanzania's primary healthcare system. It aims to identify barriers to adoption, propose strategies for effective impl...

Evaluating large language models as clinical laboratory test recommenders in primary and emergency care: a crucial step in clinical decision making.

Clinical chemistry and laboratory medicine
OBJECTIVES: Large language models (LLMs), such as OpenAI's GPT-4o, have demonstrated considerable promise in transforming clinical decision support systems. In this study, we focused on a single but crucial task of clinical decision-making: laborator...

Artificial intelligence in primary and community care: opportunities and challenges.

British journal of community nursing
Artificial intelligence (AI) is increasingly embedded in primary care, offering tools to enhance clinical decision making, streamline administrative processes and support personalised care. Community nurses who provide holistic, patient-centred suppo...

Digital Health Experiences of Primary Care Nurses: A Qualitative Meta-synthesis.

International nursing review
AIM: To analyze primary care nurses' experiences of integrating and using digital health in their daily practice.

Chronic Pain Prevalence, Opioid Use, and Primary Care Provider Opioid Prescription Patterns in the U.S. from 2017 to 2019 Derived from Medicaid Claims Data.

Studies in health technology and informatics
Chronic non-cancer pain (CNCP) is a major health concern in the United States, incurring substantial healthcare costs and frequently requiring opioid therapy in primary care. This retrospective cross-sectional study used Medicaid claims data from six...

Development and Validation of Machine-Learning Algorithms to Predict the Onset of Depression Using Electronic Health Record Data: A Prognostic Modeling Study.

Studies in health technology and informatics
INTRODUCTION: Early detection and intervention are crucial for reducing the impacts of depression and associated healthcare costs. Few studies have used electronic health records (EHR) and machine learning (ML) with a longitudinal design to predict d...