Výsledky vyhledávání - S.I.: Machine Learning for Big Data Analytics in Smart Healthcare Systems
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Zdroj: Diagnostics (2075-4418); Aug2025, Vol. 15 Issue 15, p1914, 40p
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Zdroj: Neural Comput Appl
Témata: Ransom, S.I. : Improving Healthcare outcomes using Multimedia Big Data Analytics, Machine learning, IIoHT, 0202 electrical engineering, electronic engineering, information engineering, Smart satellite, 02 engineering and technology, DDoS
Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s00521-021-06441-5.pdf
https://pubmed.ncbi.nlm.nih.gov/34518744
https://link.springer.com/content/pdf/10.1007/s00521-021-06441-5.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425465
https://link.springer.com/article/10.1007/s00521-021-06441-5
https://hdl.handle.net/11541.2/25770 -
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Zdroj: Current pharmaceutical design [Curr Pharm Des] 2025; Vol. 31 (28), pp. 2240-2251.
Způsob vydávání: Journal Article; Review
Informace o časopise: Publisher: Bentham Science Publishers Country of Publication: United Arab Emirates NLM ID: 9602487 Publication Model: Print Cited Medium: Internet ISSN: 1873-4286 (Electronic) Linking ISSN: 13816128 NLM ISO Abbreviation: Curr Pharm Des Subsets: MEDLINE
Výrazy ze slovníku MeSH: Machine Learning* , COVID-19*/diagnosis , COVID-19*/epidemiology , Delivery of Health Care* , Patient-Centered Care*, Humans ; Algorithms ; SARS-CoV-2 ; Pandemics
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Resource Type: eBook.
Categories: COMPUTERS / Internet of Things (IoT), COMPUTERS / Artificial Intelligence / General, MEDICAL / Health Care Delivery
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Zdroj: Healthcare (2227-9032); May2025, Vol. 13 Issue 9, p1060, 22p
Témata: MIDDLE-income countries, HEALTH services accessibility, PUBLIC health surveillance, HUMAN services programs, MEDICAL quality control, DIGITAL health, HEALTH insurance, DIGITAL divide, ARTIFICIAL intelligence, DATA analytics, DECISION making in clinical medicine, TELEMEDICINE, WORLD health, UNIVERSAL healthcare, QUALITY assurance, PUBLIC health, HEALTH equity, LOW-income countries, COVID-19 pandemic
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Zdroj: Diagnostics (2075-4418); Jun2023, Vol. 13 Issue 12, p2071, 22p
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Zdroj: Veterinary Sciences. Oct2025, Vol. 12 Issue 10, p1014. 42p.
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Zdroj: Nutrients. Aug2025, Vol. 17 Issue 16, p2695. 22p.
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Zdroj: Sensors (14248220); Feb2023, Vol. 23 Issue 3, p1639, 49p
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Zdroj: Electronics (2079-9292); Sep2022, Vol. 11 Issue 17, p2777, 21p
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Zdroj: Mathematics (2227-7390); Mar2025, Vol. 13 Issue 6, p988, 37p
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Autoři: Imam, Niddal H.
Zdroj: Sensors (14248220); Nov2024, Vol. 24 Issue 21, p6891, 23p
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Resource Type: eBook.
Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Machine Theory, TECHNOLOGY & ENGINEERING / Industrial Engineering, TECHNOLOGY & ENGINEERING / Operations Research
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Zdroj: Sustainability (2071-1050); Apr2024, Vol. 16 Issue 7, p2764, 33p
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Zdroj: IET Software (Wiley-Blackwell); Jun2023, Vol. 17 Issue 3, p195-248, 54p
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Zdroj: Electronics (2079-9292); Jun2025, Vol. 14 Issue 12, p2476, 43p
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Zdroj: International Transactions in Operational Research; May2025, Vol. 32 Issue 3, p1251-1281, 31p
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Resource Type: eBook.
Témata: Big data, Graph algorithms
Categories: COMPUTERS / Database Administration & Management, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Management Information Systems
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Témata: Pharma 4.0, Cadena de suministro, Inteligencia artificial, Big data, Industria farmacéutica, Colombia, Latino ámerica, 615.19, Supply chain, Artificial intelligence, Pharmaceutical industry, Latin america
Popis souboru: application/pdf
Relation: 1. León-García, O.A.; Bermúdez-Segura, M.Y. Barreras y Fuerzas Impulsoras de La Implementación de La Industria 4.0 En Las Organizaciones: Un Estado Del Arte. Rev. Investig. Desarro. E Innov. 2021, 11, 451–466, doi:10.19053/20278306.v11.n3.2021.13343.; 2. Gómez, C.M.P. Implementación y desarrollo de la industria 4.0 en siete países desarrollados y Colombia.; 3. Naciones Unidas Industria 4.0. Oportunidades y desafíos para el desarrollo productivo de la provincia de Santa Fe. 2019.; 4. Szajna, A.; Stryjski, R.; Woźniak, W.; Chamier-Gliszczyński, N.; Królikowski, T. The Production Quality Control Process, Enhanced with Augmented Reality Glasses and the New Generation Computing Support System. Procedia Comput. Sci. 2020, 176, 3618–3625, doi:10.1016/j.procs.2020.09.024.; 5. Analyzing the $1.4 Trillion Global Pharmaceutical Industry 2022 - ResearchAndMarkets.Com Available online: https://www.businesswire.com/news/home/20221130005610/en/Analyzing-the-1.4-Trillion-Global-Pharmaceutical-Industry-2022---ResearchAndMarkets.com (accessed on 2 September 2024).; 6. Debnath, B.; Shakur, M.S.; Bari, A.B.M.M.; Saha, J.; Porna, W.A.; Mishu, M.J.; Islam, A.R.M.T.; Rahman, M.A. Assessing the Critical Success Factors for Implementing Industry 4.0 in the Pharmaceutical Industry: Implications for Supply Chain Sustainability in Emerging Economies. PLOS ONE 2023, 18, e0287149, doi:10.1371/journal.pone.0287149.; 7. Voinea, G.-D.; Gîrbacia, F.; Duguleană, M.; Boboc, R.G.; Gheorghe, C. Mapping the Emergent Trends in Industrial Augmented Reality. Electronics 2023, 12, 1719, doi:10.3390/electronics12071719.; 8. Bourgois, X.; Herwig, C. 2 ACNUR Estrategia Mundial Para La Salud Pública 2021-2025.; 9. Global Strategy on Digital Health 2020-2025.; 11. Alowais, S.A.; Alghamdi, S.S.; Alsuhebany, N.; Alqahtani, T.; Alshaya, A.I.; Almohareb, S.N.; Aldairem, A.; Alrashed, M.; Bin Saleh, K.; Badreldin, H.A.; et al. Revolutionizing Healthcare: The Role of Artificial Intelligence in Clinical Practice. BMC Med. Educ. 2023, 23, 689, doi:10.1186/s12909-023-04698-z.; 12. Naciones Unidas Tecnologías digitales para un nuevo futuro. 2022.; 13. Paul, D.; Sanap, G.; Shenoy, S.; Kalyane, D.; Kalia, K.; Tekade, R.K. Artificial Intelligence in Drug Discovery and Development. Drug Discov. Today 2021, 26, 80–93, doi:10.1016/j.drudis.2020.10.010.; 14. 4. Supervised Learning: Models and Concepts - Machine Learning and Data Science Blueprints for Finance [Book] Available online: https://www.oreilly.com/library/view/machine-learning-and/9781492073048/ch04.html (accessed on 2 September 2024).; 15. Singh, S.; Kaur, N.; Gehlot, A. Application of Artificial Intelligence in Drug Design: A Review. Comput. Biol. Med. 2024, 179, 108810, doi:10.1016/j.compbiomed.2024.108810.; 16. Alizadehsani, R.; Oyelere, S.S.; Hussain, S.; Jagatheesaperumal, S.K.; Calixto, R.R.; Rahouti, M.; Roshanzamir, M.; De Albuquerque, V.H.C. Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey. IEEE Access 2024, 12, 35796–35812, doi:10.1109/ACCESS.2024.3373195.; 17. Saldivar-González, F.I.; Gortari, E.F.; Medina-Franco, J.L. Inteligencia artificial en el diseño de fármacos: hacia la inteligencia aumentada. Educ. Quím. 2023, 34, 17–25, doi:10.22201/fq.18708404e.2023.2.83233.; 18. Rossetti, C.L.; Handfield, R.; Dooley, K.J. Forces, Trends, and Decisions in Pharmaceutical Supply Chain Management. Int. J. Phys. Distrib. Logist. Manag. 2019, 41, 601–622, doi:10.1108/09600031111147835.; 19. Morgan, J.; Halton, M.; Qiao, Y.; Breslin, J.G. Industry 4.0 Smart Reconfigurable Manufacturing Machines. J. Manuf. Syst. 2021, 59, 481–506, doi:10.1016/j.jmsy.2021.03.001.; 20. Poongodi, T.; Lucia Agnesbeena, T.; Janarthanan, S.; Balusamy, B. Chapter 5 - Accelerating Data Acquisition Process in the Pharmaceutical Industry Using Internet of Things. In An Industrial IoT Approach for Pharmaceutical Industry Growth; Balas, V.E., Solanki, V.K., Kumar, R., Eds.; Academic Press, 2020; pp. 117–152 ISBN 978-0-12-821326-1.; 21. Akhtar, Z. Artificial Intelligence (AI) within Manufacturing: An Investigative Exploration for Opportunities, Challenges, Future Directions. Metaverse 2024, 5, 2731, doi:10.54517/m.v5i2.2731.; 22. Bhalode, P.; Metta, N.; Chen, Y.; Ierapetritou, M. Efficient Data-Based Methodology for Model Enhancement and Flowsheet Analyses for Continuous Pharmaceutical Manufacturing. In Computer Aided Chemical Engineering; Pierucci, S., Manenti, F., Bozzano, G.L., Manca, D., Eds.; 30 European Symposium on Computer Aided Process Engineering; Elsevier, 2020; Vol. 48, pp. 127–132.; 23. Jelsch, M.; Roggo, Y.; Kleinebudde, P.; Krumme, M. Model Predictive Control in Pharmaceutical Continuous Manufacturing: A Review from a User’s Perspective. Eur. J. Pharm. Biopharm. 2021, 159, 137–142, doi:10.1016/j.ejpb.2021.01.003.; 24. Li, Y.; Dai, J.; Cui, L. The Impact of Digital Technologies on Economic and Environmental Performance in the Context of Industry 4.0: A Moderated Mediation Model. Int. J. Prod. Econ. 2020, 229, 107777, doi:10.1016/j.ijpe.2020.107777.; 25. Aguirre-Cortés, J.M.; Moral-Rodríguez, A.I.; Bailón-García, E.; Davó-Quiñonero, A.; Pérez-Cadenas, A.F.; Carrasco-Marín, F. 3D Printing in Photocatalysis: Methods and Capabilities for the Improved Performance. Appl. Mater. Today 2023, 32, 101831, doi:10.1016/j.apmt.2023.101831.; 26. da Silva, R.B.; de Mattos, C.A. Critical Success Factors of a Drug Traceability System for Creating Value in a Pharmaceutical Supply Chain (PSC). Int. J. Environ. Res. Public. Health 2019, 16, 1972, doi:10.3390/ijerph16111972.; 27. Alfian, G.; Syafrudin, M.; Farooq, U.; Maarif, M.; Syaekhoni, A.; Fitriyani, N.L.; Lee, J.; Rhee, J. Improving Efficiency of RFID-Based Traceability System for Perishable Food by Utilizing IoT Sensors and Machine Learning Model. Food Control 2020, 110, 107016, doi:10.1016/j.foodcont.2019.107016.; 28. Weraikat, D.; Zanjani, M.K.; Lehoux, N. Improving Sustainability in a Two-Level Pharmaceutical Supply Chain through Vendor-Managed Inventory System. Oper. Res. Health Care 2019, 21, 44–55, doi:10.1016/j.orhc.2019.04.004.; 29. Jain, A.; Sharma, D.K. Chapter 3 - Transforming Pharma Logistics with the Internet of Things. In An Industrial IoT Approach for Pharmaceutical Industry Growth; Balas, V.E., Solanki, V.K., Kumar, R., Eds.; Academic Press, 2020; pp. 55–85 ISBN 978-0-12-821326-1.; 30. Alike, K.; Rexhausen, D.; Seyfert, A. Supply Chain 4.0 in Consumer Goods %7C McKinsey Available online: https://www.mckinsey.com/industries/consumer-packaged-goods/our-insights/supply-chain-4-0-in-consumer-goods (accessed on 2 September 2024).; 31. Agarwal, S.; Glenton, C.; Henschke, N.; Tamrat, T.; Bergman, H.; Fønhus, M.S.; Mehl, G.L.; Lewin, S. Tracking Health Commodity Inventory and Notifying Stock Levels via Mobile Devices: A Mixed Methods Systematic Review. Cochrane Database Syst. Rev. 2020, 2020, CD012907, doi:10.1002/14651858.CD012907.pub2.; 32. Aceto, G.; Persico, V.; Pescapé, A. Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0. J. Ind. Inf. Integr. 2020, 18, 100129, doi:10.1016/j.jii.2020.100129.; 33. Zhang, H.; Fan, T.; Chen, W.; Li, Y.; Wang, B. Recent Advances of Two-Dimensional Materials in Smart Drug Delivery Nano-Systems. Bioact. Mater. 2020, 5, 1071–1086, doi:10.1016/j.bioactmat.2020.06.012.; 34. Franco, C.; Alfonso-Lizarazo, E. Optimization under Uncertainty of the Pharmaceutical Supply Chain in Hospitals. Comput. Chem. Eng. 2020, 135, 106689, doi:10.1016/j.compchemeng.2019.106689.; 35. Fatemi, M.S.; Ghodratnama, A.; Tavakkoli-Moghaddam, R.; Kaboli, A. A Multi-Functional Tri-Objective Mathematical Model for the Pharmaceutical Supply Chain Considering Congestion of Drugs in Factories. Res. Transp. Econ. 2022, 92, 101094, doi:10.1016/j.retrec.2021.101094.; 36. Goodarzian, F.; Hosseini-Nasab, H.; Muñuzuri, J.; Fakhrzad, M.-B. A Multi-Objective Pharmaceutical Supply Chain Network Based on a Robust Fuzzy Model: A Comparison of Meta-Heuristics. Appl. Soft Comput. 2020, 92, 106331, doi:10.1016/j.asoc.2020.106331.; 37. Mahmud, H.; Islam, A.K.M.N.; Ahmed, S.I.; Smolander, K. What Influences Algorithmic Decision-Making? A Systematic Literature Review on Algorithm Aversion. Technol. Forecast. Soc. Change 2022, 175, 121390, doi:10.1016/j.techfore.2021.121390.; 38. Fosso Wamba, S.; Queiroz, M.M. Responsible Artificial Intelligence as a Secret Ingredient for Digital Health: Bibliometric Analysis, Insights, and Research Directions. Inf. Syst. Front. 2023, 25, 2123–2138, doi:10.1007/s10796-021-10142-8.; 39. Chen, X.; Yang, H.; Wang, X. Effects of Price Cap Regulation on the Pharmaceutical Supply Chain. J. Bus. Res. 2019, 97, 281–290, doi:10.1016/j.jbusres.2018.01.030.; 40. Chen, X.; Li, S.; Wang, X. Evaluating the Effects of Quality Regulations on the Pharmaceutical Supply Chain. Int. J. Prod. Econ. 2020, 230, 107770, doi:10.1016/j.ijpe.2020.107770.; 41. Hailu, R.; Gizaw, T.; Berhanu, N.; Mulugeta, T.; Boche, B.; Gudeta, T. Exploring the Role of ICT in Pharmaceutical Supply Chain Practices and Operational Performance in Ethiopia: A Structural Equation Modeling Approach. BMC Health Serv. Res. 2023, 23, 634, doi:10.1186/s12913-023-09627-w.; 42. Balkhi, B.; Alshahrani, A.; Khan, A. Just-in-Time Approach in Healthcare Inventory Management: Does It Really Work? Saudi Pharm. J. SPJ 2022, 30, 1830–1835, doi:10.1016/j.jsps.2022.10.013.; 43. Lee, I.; Mangalaraj, G. Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions. Big Data Cogn. Comput. 2022, 6, 17, doi:10.3390/bdcc6010017.; 44. Pham, Q. Council Post: Using Big Data And Data Analytics For Better Business Decisions Available online: https://www.forbes.com/councils/forbesbusinessdevelopmentcouncil/2022/08/29/using-big-data-and-data-analytics-for-better-business-decisions/ (accessed on 2 September 2024).; 45. Timothy, A. SUPPLY CHAIN FINANCE and THE CHALLENGES OF MODERN SUPPLY CHAINS; 2022; 46. Hurtado, P.L.D.; Castellanos, J.D.G.; Gómez, I.D.O. Análisis bibliométrico de la investigación en big data y cadena de suministro. Rev. CEA 2023, 9.; 47. Golgeci, I.; Yildiz, H.; Andersson, U. The Rising Tensions between Efficiency and Resilience in Global Value Chains in the Post-COVID-19 World. Transnatl. Corp. 2020, 27, 127–141, doi:10.18356/99b1410f-en.; 48. Gölgeci, I.; Kuivalainen, O. Does Social Capital Matter for Supply Chain Resilience? The Role of Absorptive Capacity and Marketing-Supply Chain Management Alignment. Ind. Mark. Manag. 2020, 84, 63–74, doi:10.1016/j.indmarman.2019.05.006.; 49. Dashpute, S.; Pansare, J.; Pansare, M.; Sonawane, P.; Jadhav, S. Artificial Intelligence and Machine Learning in the Pharmaceutical Industry. Int. J. Pharm. Pharm. Res. 2023, 28, 111–131.; 50. Lange, C. The Future of Performance Marketing: Strategies for Measuring and Optimizing Your Campaigns Available online: https://www.linkedin.com/pulse/future-performance-marketing-strategies-measuring-optimizing-lange (accessed on 3 September 2024).; 51. Kumar, V.; Ashraf, A.R.; Nadeem, W. AI-Powered Marketing: What, Where, and How? Int. J. Inf. Manag. 2024, 77, 102783, doi:10.1016/j.ijinfomgt.2024.102783.; 52. Jiménez, A. Inteligencia artificial en salud: perspectiva local y regional. Medicina (Mex.) 2021, 43, 620–630, doi:10.56050/01205498.1650.; 53. Hoja-de-Ruta-Adopcion-Etica-y-Sostenible-de-Inteligencia-Artificial-Colombia-1.; 54. Nace una nueva Política Nacional de Inteligencia Artificial (IA) Available online: https://www.dnp.gov.co:443/Prensa_/Noticias/Paginas/nace-una-nueva-politica-nacional-de-inteligencia-artificial-ia.aspx (accessed on 3 September 2024).; 55. Caribe, C.E. para A.L. y el Industria farmacéutica y sistemas de salud en la Argentina, el Brasil, Chile, México y el Uruguay: estructura, desempeño y políticas; Comisión Económica para América Latina y el Caribe, 2023; 56. Exploring New Interregional Opportunities for Pharmaceutical Supply Chains Available online: https://www.swp-berlin.org/publikation/exploring-new-interregional-opportunities-for-pharmaceutical-supply-chains (accessed on 3 September 2024).; 57. www.areaw3.com, A.- Uruguay se consolida como el hub logístico y de innovación en la industria Farma - Noticias Available online: https://www.uruguayxxi.gub.uy/es/noticias/articulo/uruguay-se-consolida-como-el-hub-logistico-y-de-innovacion-en-la-industria-farma/ (accessed on 3 September 2024).; 58. Pérez, D.; Guillén, A.; Ugarte, V.; Duarte, R.; Vidal, M.; Echagüe, T.; Garrido, G. Director Nacional de Empleo.; 59. Porta, F.; Suárez, D.; Angelis, J.D.; Zurbriggen, C.; González, M. Nombres de los miembros del equipo de investigación; 60. Global-AI-Index-Methodology-201203.Pdf.; 61. Santiso, C.; Jaramillo, M.I.M. Víctor Manuel Muñoz Rodríguez.; 62. Chile Primera y Colombia Sexta En Inteligencia Artificial %7C Uniandes Available online: https://uniandes.edu.co/es/noticias/ingenieria/chile-primera-y-colombia-sexta-en-inteligencia-artificial (accessed on 3 September 2024).; 63. Minsalud Presentó Hoja de Ruta Para La Transformación Digital Del Sector Available online: https://www.minsalud.gov.co/Paginas/Minsalud-presento-hoja-de-ruta-para-la-transformacion-digital-del-sector.aspx (accessed on 3 September 2024).; 64. DE-PORTADA-BIG-DATA-HOSPITALARIA-137-JUNIO-10.Pdf.; 65. Betancurth Loaiza, D.P.; Vélez Álvarez, C.; Sanchez Palacio, N. Georeferencing at a Health Service,: an Experience from Community Assets. ÁNFORA 2023, 30, 236–253, doi:10.30854/anf.v30.n54.2023.912.; 66. Modelo de Gobernanza de La Infraestructura de Datos Para El Estado Colombiano.; 67. Dos Años de Posicionamiento de La Telemedicina En Colombia Available online: https://www.minsalud.gov.co/Paginas/Dos-anos-de-posicionamiento-de-la-telemedicina-en-Colombia.aspx (accessed on 3 September 2024).; 68. Colombia %7C Ministerio de Relaciones Exteriores, Comercio Internacional y Culto Available online: https://cancilleria.gob.ar/es/colombia-0 (accessed on 3 September 2024).; 69. Contexto Para La Inversión En El Sector Farmacéutico En Colombia 2024.; 70. ANDI - Noticias Available online: https://www.andi.com.co/Home/Noticia/17274-radiografia-del-mercado-farmaceutico-co (accessed on 3 September 2024).; 71. A 12,6% Cayeron Los Costos Logísticos de Las Empresas Frente a Sus Ventas Available online: https://2022.dnp.gov.co/Paginas/A-12,6-cayeron-los-costos-logisticos-de-las-empresas-frente-a-sus-ventas.aspx (accessed on 3 September 2024).; 72. Carrillo Barreto, I.Y.; Jiménez Tocasuche, A.M.; Colorado Gonzalez, A.J.; Durán Sanjuán, M.F.; Santos Hernández, A.F. Digital Transformation of Planning in the Pharmaceutical Sector. 2022, doi:10.15480/882.4695.; 73. GUÍA PARA LA IMPLEMENTACIÓN DE ESTRATEGIAS DE MEDICAMENTOS GENÉRICOS EN LOS PAÍSES DE AMÉRICA LATINA Y EL CARIBE COMO MECANISMO PARA MEJORAR EL ACCESO A MEDICAMENTOS.Pdf.; 74. AVANCES PLAN DE NEGOCIOS DEL SECTOR FARMACÉUTICO Así va La Hoja de Ruta de La Industria a 2032.Pdf.; 75. S.A.S, E.L.R. “La falta de inversión en la infraestructura limita la conectividad y aumenta los costos” Available online: https://www.larepublica.co/especiales/logistica-sostenible/la-falta-de-inversion-en-infraestructura-limita-la-conectividad-y-sube-costos-3716914 (accessed on 3 September 2024).; 76. Periódico UNAL - Así Ha Evolucionado El Sistema de Salud En Colombia Available online: https://www.periodico.unal.edu.co/articulos/asi-ha-evolucionado-el-sistema-de-salud-en-colombia (accessed on 3 September 2024).; 77. Tarazona, D.L.V. Análisis del Proceso de Desindustrialización en Colombia, una visión contextual.; 78. Aspectos Basicos de La Industria 4.0.Pdf.; 79. 6 formas para liberar el poder de la IA en la manufactura Available online: https://es.weforum.org/agenda/2024/01/es-asi-como-podemos-liberar-el-poder-de-la-ia-en-la-manufactura/ (accessed on 3 September 2024).; 80. Ramirez, S.A.M. ANÁLISIS RELACIÓN COSTO/BENEFICIO DE LA IMPLEMENTACIÓN DEL PROYECTO DE RENOVACIÓN TECNOLÓGICA (PRI II) EN EL GRUPO EMPRESARIAL COOMEVA USANDO EL MODELO TOTAL COST OF OWNERSHIP (TCO).; 81. Gaviria, J.E.M. Tecnologías 4.0: Una revolución industrial en marcha. Cent. Cienc. Tecnol. Antioquia - CTA 2024.; 82. Hosono, A. Industrial Development and Transformation: Insights from Outstanding Cases. In SDGs, Transformation, and Quality Growth: Insights from International Cooperation; Hosono, A., Ed.; Springer: Singapore, 2022; pp. 39–73 ISBN 9789811697487.; 83. Ertz, M.; Gasteau, F. Role of Smart Technologies for Implementing Industry 4.0 Environment in Product Lifetime Extension towards Circular Economy: A Qualitative Research. Heliyon 2023, 9, e16762, doi:10.1016/j.heliyon.2023.e16762.; 84. Banur, O.; Patle, B.; Pawar, S. Integration of Robotics and Automation in Supply Chain: A Comprehensive Review. Robot. Syst. Appl. 2024, 4, doi:10.21595/rsa.2023.23349.; 85. Aquino, Y.S.J.; Rogers, W.A.; Jacobson, S.L.S.; Richards, B.; Houssami, N.; Woode, M.E.; Frazer, H.; Carter, S.M. Defining Change: Exploring Expert Views about the Regulatory Challenges in Adaptive Artificial Intelligence for Healthcare. Health Policy Technol. 2024, 13, 100892, doi:10.1016/j.hlpt.2024.100892.; 86. QS World University Rankings for Data Science and Artificial Intelligence 2024 Available online: https://www.topuniversities.com/university-subject-rankings/data-science-artificial-intelligence (accessed on 3 September 2024).; 87. Wang, C.; Chen, X.; Yu, T.; Liu, Y.; Jing, Y. Education Reform and Change Driven by Digital Technology: A Bibliometric Study from a Global Perspective. Humanit. Soc. Sci. Commun. 2024, 11, 1–17, doi:10.1057/s41599-024-02717-y.; 88. Chao, K.; Sarker, M.N.I.; Ali, I.; Firdaus, R.B.R.; Azman, A.; Shaed, M.M. Big Data-Driven Public Health Policy Making: Potential for the Healthcare Industry. Heliyon 2023, 9, e19681, doi:10.1016/j.heliyon.2023.e19681.; 89. OECD Ready for the Next Crisis? Investing in Health System Resilience; OECD Health Policy Studies; OECD, 2023; ISBN 978-92-64-79463-4.; 90. Anawade, P.A.; Sharma, D.; Gahane, S. A Comprehensive Review on Exploring the Impact of Telemedicine on Healthcare Accessibility. Cureus 2024, 16, doi:10.7759/cureus.55996.; 91. Marco_de_interoperabilidad_para_gobierno_digital.Pdf.; 92. Ortiz-Ospina, E.; Roser, M. The Rise of Social Media. Our World Data 2024.; 93. Aprovechamiento_de_datos_para_la_toma_de_decisiones_en_el_sector_publico.Pdf.; 94. S.A.S, E.L.R. Colombia es el que menos profesionales de la salud tiene por cada 1.000 habitantes Available online: https://www.larepublica.co/globoeconomia/numero-de-medicos-y-enfermeras-por-cada-1-000-habitantes-en-paises-ocde-3553043 (accessed on 3 September 2024).; 95. Flessa, S.; Huebner, C. Innovations in Health Care—A Conceptual Framework. Int. J. Environ. Res. Public. Health 2021, 18, 10026, doi:10.3390/ijerph181910026.; 96. Nielsen, T.L.; Kruse, N.B.; Haahr, A.; Hjelle, E.G.; Bragstad, L.K.; Palmar‐Santos, A.; Navarta‐Sánchez, M.V.; Pedraz‐Marcos, A.; Pires, S.B.; Roberts, H.C.; et al. Exploring Health and Social Services in Denmark, Norway, Spain and the United Kingdom for the Development of Parkinson’s Care Pathways. A Document Analysis. Health Soc. Care Community 2022, 30, e3507–e3518, doi:10.1111/hsc.13970.; 97. Digitalización de la salud en el país: oportunidades y retos 2023.; 98. Misha, F.; Imtiaz, S.H.; Faiza, A.; Rashid, S.F.; Jiménez, M.B.; Guerrero-C, J.; González-Uribe, C. Digital Health and Rights.; 99. Ministerio de Salud y Protección Social. (2024). Ley 2386 de 2024: Por la cual se establecen disposiciones para la regulación de la atención en salud en Colombia. Recuperado de https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/INEC/IGUB/ley-2386-de-2024.pdf.; 100. Congreso de la República de Colombia. (2023). Ley 2294 de 2023: Por la cual se modifican disposiciones relacionadas con la función pública en Colombia. Recuperado de https://www.funcionpublica.gov.co/eva/gestornormativo/norma.php?i=209510; https://hdl.handle.net/20.500.12495/13306; Universidad El Bosque; reponame:Repositorio Institucional Universidad El Bosque; repourl:https://repositorio.unbosque.edu.co
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