Introduction: Artificial intelligence (AI) is widely seen as critical for tackling fundamental challenges faced by health systems. However, research is scant on the factors that influence the implementation and routine use of AI in healthcare, how AI may interact with the context in which it is implemented, and how it can contribute to wider health system goals. We propose that AI development can benefit from knowledge generated in four scientific fields: intervention, innovation, implementation and improvement sciences.
Aim: The aim of this paper is to briefly describe the four fields and to identify potentially relevant knowledge from these fields that can be utilized for understanding and/or facilitating the use of AI in healthcare. The paper is based on the authors' experience and expertise in intervention, innovation, implementation, and improvement sciences, and a selective literature review.
Utilizing Knowledge From The Four Fields: The four fields have generated a wealth of often-overlapping knowledge, some of which we propose has considerable relevance for understanding and/or facilitating the use of AI in healthcare.
Conclusion: Knowledge derived from intervention, innovation, implementation, and improvement sciences provides a head start for research on the use of AI in healthcare, yet the extent to which this knowledge can be repurposed in AI studies cannot be taken for granted. Thus, when taking advantage of insights in the four fields, it is important to also be explorative and use inductive research approaches to generate knowledge that can contribute toward realizing the potential of AI in healthcare.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012740 | PMC |
| http://dx.doi.org/10.3389/frhs.2022.961475 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Clinical Decision Support Using Speech Signal Analysis: Systematic Scoping Review of Neurological Disorders.
J Med Internet Res
January 2025
Knight Foundation of Computing & Information Sciences, Florida International University, Miami, FL, United States.
Background: Digital biomarkers are increasingly used in clinical decision support for various health conditions. Speech features as digital biomarkers can offer insights into underlying physiological processes due to the complexity of speech production. This process involves respiration, phonation, articulation, and resonance, all of which rely on specific motor systems for the preparation and execution of speech.
View Article and Find Full Text PDFFluid Distribution: Response to Intermittent Pneumatic Compression in People With and Without Primary Lymphedema.
Lymphat Res Biol
January 2025
Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, Australia.
Current understanding of changes in fluid distribution in response to the application of compression in primary lymphedema (PLE) is limited. This study measured fluid distribution before and after one application of standardized intermittent pneumatic compression (IPC) in the lower limbs of people with PLE, compared with those without lymphedema. High-frequency ultrasound (HFU) was used to measure dermal fluid, bioimpedance to measure segmental fluid, and percent water content (PWC) to measure fluid at specific anatomical points.
View Article and Find Full Text PDFAccuracy of Automated External Defibrillator Pad Placement During Out-of-Hospital Cardiac Arrest Resuscitation Simulations.
Prehosp Emerg Care
January 2025
Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor, Michigan.
Objectives: Out-of-hospital cardiac arrest (OHCA) victims receiving defibrillation from an automated external defibrillator (AED) placed early in the chain of survival are more likely to survive. We sought to explore the accuracy of AED pad placement for lay rescuers (LR) and first responders (FR).
Methods: We conducted a secondary analysis of data collected during randomized OHCA simulation trials involving LRs and FRs.
Rapid Video Analysis for Contraction Synchrony of Human Induced Pluripotent Stem Cells-Derived Cardiac Tissues.
Tissue Eng Regen Med
January 2025
Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, Fujian, China.
Background: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time.
Methods: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed.
Emerging Trends in Neuroblastoma Diagnosis, Therapeutics, and Research.
Mol Neurobiol
January 2025
Translational Oncology Laboratory, Department of Zoology, Hansraj College, Delhi University, New Delhi, 110007, India.
This review explores the current understanding and recent advancements in neuroblastoma, one of the most common extracranial solid pediatric cancers, accounting for ~ 15% of childhood cancer-related mortality. The hallmarks of NBL, including angiogenesis, metastasis, apoptosis resistance, cell cycle dysregulation, drug resistance, and responses to hypoxia and ROS, underscore its complex biology. The tumor microenvironment's significance in disease progression is acknowledged in this study, along with the pivotal role of cancer stem cells in sustaining tumor growth and heterogeneity.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!