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[1]: PDF Competencies for the Use of Artificial Intelligence-Based Tools by…clinical competencies for health care professionals. Method In 2021, a multidisciplinary team interviewed 15 experts in the use of AI-based tools in health care settings about the clinical competencies health care professionals need to work effectively with such tools. transcripts of the semistructured interviews were coded and thematically …
URL: https://www.sap2.org.ar/i2/archivos/3002.pdf
[2]: PDF Building Competence in Artificial Intelligence: Preparing Nursing … Building Competence in Artificial intelligence: Preparing Nursing Students … AACN 2020 Doctoral Conference Naples, Florida January 31, 2020 Informatics Trends Precision Medicine Digital Technology Healthcare Cybersecurity … Artificial Intelligence in Health Care: The hope, the hype, the Promise, the Peril. 15 16. 2/13/2020 9 Human Skills
URL: Health: A Guide for Competency Advancement … This transition, coupled with the growing field of ”Big Data” informatics and generative artificial intelligence (“GenAI”), has reinvigorated enthusiasm in the “digital transformation” of health care and the use of novel digital technologies to provide personalized, convenient, and effective health care. Digital competencies improve communication between professionals and patients,guaranteeing more effective access to reliable medical details.
According to Dr. Francisco Javier Sanz, Digital Innovation Coordinator in Semergen, “Health digitalization is unstoppable. Mastering these competences will improve the quality of care.” Digital transformation into medicine is a reality that optimizes patient care and professionals.
The 2nd European Meeting in Artificial Intelligence and Ehealth has brought together specialists at the Santa María del Rosell de Cartagena University Hospital. This event has offered round tables, interactive workshops, and presentations on the impact of artificial intelligence in primary care. Researchers and entrepreneurs have shown technological innovations to improve diagnosis, optimize treatments, and increase therapeutic adhesion.Generative artificial intelligence is emerging as a key tool for customizing health care and improving health results.
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Harnessing AI in Primary Care: An Interview
Table of Contents
- Harnessing AI in Primary Care: An Interview
- Interview with Dr. Ana Rodriguez, Specialist in AI and Health Technologies
- Q: How has the recent European Meeting on AI and Ehealth influenced your viewpoint on artificial intelligence in primary care?
- Q: Can you expand on the term “generative AI” and its role in healthcare?
- Q: What are some key areas where AI is making a significant impact in primary care?
- Q: How do you envision the future of AI in health care?
- Q: How do you reconcile the ethical and practical challenges of integrating AI into primary care?
- Conclusion
- Interview with Dr. Ana Rodriguez, Specialist in AI and Health Technologies
Interview with Dr. Ana Rodriguez, Specialist in AI and Health Technologies
Q: How has the recent European Meeting on AI and Ehealth influenced your viewpoint on artificial intelligence in primary care?
A: The meeting was incredibly enlightening. It brought together top specialists and provided a platform for showcasing some of the most cutting-edge technological innovations. The discussions and workshops delineated how AI can optimize diagnosis and treatment workflows, thereby improving patient outcomes. As an example, generative AI is emerging as a powerful tool for customizing healthcare plans and enhancing treatment adherence.
Q: Can you expand on the term “generative AI” and its role in healthcare?
A: Generative AI refers to a class of AI algorithms that can create new content such as images, text, or even complex treatment plans. In healthcare, this could mean personalized treatment protocols tailored to a patient’s specific condition and history.This level of customization translates into better patient outcomes because treatments are more likely to be effective and compliant.
Q: What are some key areas where AI is making a significant impact in primary care?
A: Currently, AI is marking its presence primarily in diagnostic support, treatment optimization, and patient monitoring. For example, AI-powered diagnostics can analyze vast amounts of patient data to quickly and accurately identify potential health issues. additionally,AI can predict patient compliance and design intervention strategies to enhance adherence to treatments.
Q: How do you envision the future of AI in health care?
A: The future holds tremendous potential. With advances in technology and machine learning, AI will continue to play a more integrated role in healthcare. We will see AI systems that not only can diagnose and treat but also predict future health trends for individual patients, enabling proactive healthcare rather than reactive measures. This could revolutionize how we approach chronic diseases and preventive care.
Q: How do you reconcile the ethical and practical challenges of integrating AI into primary care?
A: Its a complex issue, but it’s crucial to address. Ethical considerations include data privacy, patient consent, and algorithmic bias. Practically, it requires clinical competencies and potentially new skill sets for healthcare professionals. The multidisciplinary team at our institution is actively working on developing guidelines and educational programs to ensure responsible AI implementation.
Conclusion
The recent European Meeting on AI and ehealth has illuminated the transformative potential of AI in primary care.Generative AI, in particular, is poised to revolutionize treatment customization and adherence. As AI continues to evolve, challenges in ethical implementation and clinical competencies need to be meticulously addressed to ensure safe and effective healthcare delivery.Through collaborative efforts and ongoing research, the future of AI in primary care looks promising, heralding a new era of personalized and proactive healthcare.
