Aligning corporate social responsibility with artificial intelligence in healthcare in the context of the post-COVID-19 recovery: a viewpoint

Journal of Health Organization and Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Purpose This study explores how corporate social responsibility (CSR) and artificial intelligence (AI) can be combined in the healthcare industry during post-COVID-19 recovery phase. The aim is to showcase this fusion help tackle inequalities, enhance accessibility support long-term sustainability. Design/methodology/approach Adopting a viewpoint approach, leverages existing literature case studies analyze intersection of CSR AI. It investigates AI’s capabilities predictive analytics, telemedicine resource management within framework principles. Findings Integrating AI profoundly delivery by ensuring equitable access, optimizing allocation fostering trust through transparency ethical standards. synergy benefits public health enhances image viability organizations. Research limitations/implications conceptual relies on studies. Future research should empirically test proposed models frameworks diverse settings validate refine these insights. Practical implications insights from directly applied organizations develop policies practices that integrate CSR. integration promote standards, operational efficiency and, most importantly, improve patient outcomes. Social sector carries consequences. plays role promoting fairness among patients, bridging gaps services, boosting independence clear responsible use technologies. highlights groundbreaking impact industry. Originality/value paper offers perspective strategic alignment CSR, presenting novel approach creating resilient systems era. provides managers policymakers with valuable leveraging achieve sustainable solutions, thereby contributing significantly field.

Language: Английский

Cybersecuity Analysis of a Telemedicine Platform

Healthcare, Journal Year: 2025, Volume and Issue: 13(2), P. 184 - 184

Published: Jan. 18, 2025

Background: The global shift toward telemedicine, accelerated by the COVID-19 pandemic, has revolutionized healthcare delivery enabling remote consultations and treatments. However, this rapid adoption also introduced critical cybersecurity vulnerabilities, particularly in safeguarding sensitive medical data ensuring secure operation of telemedicine platforms. If not properly addressed, these vulnerabilities can compromise patient safety integrity systems. As a result, implementing robust measures platforms is essential. Methods: framework developed study allows for assessment platform’s posture provides concrete recommendations improvement. In context, Security Framework Telemedicine Platforms, as part study, serves valuable tool evaluating platform security, identifying pinpointing areas enhancement. Conclusions: This empowers organizations to effectively strengthen their strategies, demonstrated case study.

Language: Английский

Identificando Tecnologías Blockchain para la Protección de Información Sensible en Redes Sociales: Una Revisión Sistemática

Innovación y software, Journal Year: 2025, Volume and Issue: 6(1), P. 6 - 23

Published: March 30, 2025

Este trabajo aborda la identificación de las tecnologías basadas en blockchain para protección datos carácter sensible redes sociales que hoy por son parte nuestra vida cotidiana. Señala más relevantes están ganando terreno era tecnológica nos encontramos. La metodología usada corresponde a los principios declaración PRISMA, utilizando repositorios alta exigencia como SCOPUS, SCIELO, IEEE XPLORE, MDPI, IIETA, SAGE JOURNAL e IJCSE encontrando 25 documentos el estudio. Estos últimos, centran sus investigaciones uso y aplicación casos específicos plataformas digitales saliendo destacar 4 tecnologías: Blockchain híbrido, Contratos inteligentes, público encriptación datos. Los resultados señalan usadas información. Las conclusiones destacan importancia información, indicando Se identifican oportunidades futuras, particular. estudios donde se aproveche mucho mejor tecnología cuestión.