Revelar o potencial oculto dos megadados: Capacitar os enfermeiros através da ciência de dados

Autores

  • Vinciya Pandian Johns Hopkins School of Nursing, Baltimore, United States https://orcid.org/0000-0002-2260-1080
  • Michael J. Brenner University of Michigan School of Medicine, Departamento de Otorrinolaringologia – Cirurgia de Cabeça e Pescoço, Michigan, Estados Unidos da América; Global Tracheostomy Collaborative, Illinois, Chicago, Estados Unidos da América https://orcid.org/0000-0003-4926-0957

DOI:

https://doi.org/10.12707/RVI23ED3

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Referências

Aramaki, E., Wakamiya, S., Yada, S., & Nakamura, Y. (2022). Natural Language Processing: from Bedside to Everywhere. Yearb Med Inform, 31(1), 243-253. https://doi.org/10.1055/s-0042-1742510

Batko, K., & Slezak, A. (2022). The use of Big Data Analytics in healthcare. J Big Data, 9(1), 3. https://doi.org/10.1186/s40537-021-00553-4

Bradshaw, N. A. (2020). Florence Nightingale (1820-1910): An Unexpected Master of Data. Patterns (N Y), 1(2), 100036. https://doi.org/10.1016/j.patter.2020.100036

Brenner, M. J., Pandian, V., Milliren, C. E., Graham, D. A., Zaga, C., Morris, L. L., Bedwell, J. R., Das, P., Zhu, H., Lee, Y. A. J., Peltz, A., Chin, K., Schiff, B. A., Randall, D. M., Swords, C., French, D., Ward, E., Sweeney, J. M., Warrillow, S. J., . . . Roberson, D. W. (2020). Global Tracheostomy Collaborative: data-driven improvements in patient safety through multidisciplinary teamwork, standardisation, education, and patient partnership. Br J Anaesth, 125(1), e104-e118. https://doi.org/10.1016/j.bja.2020.04.054

Cremer, F., Sheehan, B., Fortmann, M., Kia, A. N., Mullins, M., Murphy, F., & Materne, S. (2022). Cyber risk and cybersecurity: a systematic review of data availability. Geneva Pap Risk Insur Issues Pract, 47(3), 698-736. https://doi.org/10.1057/s41288-022-00266-6

Dicuonzo, G., Galeone, G., Shini, M., & Massari, A. (2022). Towards the Use of Big Data in Healthcare: A Literature Review. Healthcare (Basel), 10(7). https://doi.org/10.3390/healthcare10071232

Hassan, M., Awan, F. M., Naz, A., deAndrés-Galiana, E. J., Alvarez, O., Cernea, A., Fernández Brillet, L., Fernández-Martínez, J. L., & Kloczkowski, A. (2022). Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review. Int J Mol Sci, 23(9). https://doi.org/10.3390/ijms23094645

Hirsch, J., & Pitak-Arnnop, P. (2023). [Epidemiology and treatment of traumatic facial nerve palsy following skull base fractures: Results from the IBM MarketScan commercial database (2006-2019)]. Unfallchirurgie (Heidelb). https://doi.org/10.1007/s00113-023-01367-0

Johnson, K. B., Wei, W. Q., Weeraratne, D., Frisse, M. E., Misulis, K., Rhee, K., Zhao, J., & Snowdon, J. L. (2021). Precision Medicine, AI, and the Future of Personalized Health Care. Clin Transl Sci, 14(1), 86-93. https://doi.org/10.1111/cts.12884

Lorkowski, J., & Pokorski, M. (2022). Medical Records: A Historical Narrative. Biomedicines, 10(10). https://doi.org/10.3390/biomedicines10102594

Ma, J., Johnson, E. A., & McCrory, B. (2023). Predicting risk factors for pediatric mortality in clinical trial research: A retrospective, cross-sectional study using a Healthcare Cost and Utilization Project database. J Clin Transl Sci, 7(1), e211. https://doi.org/10.1017/cts.2023.634

Matabele, M. N., Cheng, C., Venkatesh, M., Barr, S., Ellefson, J., Beninati, M., Lobeck, I. N., & Puricelli, M. D. (2023). Perinatal airway management in neonatal goiter: A healthcare cost and utilization project (HCUP) kids’ inpatient database analysis. Int J Pediatr Otorhi

nolaryngol, 175, 111767. https://doi.org/10.1016/j.ijporl.2023.111767

Metcalfe, D., Zogg, C. K., Haut, E. R., Pawlik, T. M., Haider, A. H., & Perry, D. C. (2019). Data resource profile: State Inpatient Databases. Int J Epidemiol, 48(6), 1742-1742h. https://doi.org/10.1093/ije/dyz117

National Institute of Standards and Technology. (2015). NIST Big Data Interoperability Framework: Volume 1, Definitions National Institute of Standards and Technology. https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.1500-1.pdf

Osama, M., Ateya, A. A., Sayed, M. S., Hammad, M., Plawiak, P., Abd El-Latif, A. A., & Elsayed, R. A. (2023). Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions. Sensors (Basel), 23(17). https://doi.org/10.3390/s23177435

Premo, H., Gordee, A., Lee, H. J., Scales, C. D., Moul, J. W., & Peterson, A. (2023). Disparities in Prostate Cancer Screening for Transgender Women: An Analysis of the MarketScan Database. Urology, 176, 237-242. https://doi.org/10.1016/j.urology.2023.03.016

Saraswathula, A., Roy, S., Blythe, W. R., Gourin, C. G., & Boss, E. F. (2023). The Unrealized Potential of the Reg-ent ENT Clinical Data Registry. JAMA Otolaryngol Head Neck Surg, 149(8), 659-661. https://doi.org/10.1001/jamaoto.2023.1389

Sarker, I. H. (2021). Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective. SN Comput Sci, 2(5), 377. https://doi.org/10.1007/s42979-021-00765-8

Schmalbach, C. E., Brereton, J., Bowman, C., & Denneny, J. C., 3rd. (2021). American Academy of Otolaryngology-Head and Neck Surgery/Foundation Reg-ent Registry: Purpose, Properties, and Priorities. Otolaryngol Head Neck Surg, 164(5), 964-971. https://doi.org/10.1177/0194599820984135

Subrahmanya, S. V. G., Shetty, D. K., Patil, V., Hameed, B. M. Z., Paul, R., Smriti, K., Naik, N., & Somani, B. K. (2022). The role of data science in healthcare advancements: applications, benefits, and future prospects. Ir J Med Sci, 191(4), 1473-1483. https://doi.org/10.1007/s11845-021-02730-z

Uddin, M., & Syed-Abdul, S. (2020). Data Analytics and Applications of the Wearable Sensors in Healthcare: An Overview. Sensors (Basel), 20(5). https://doi.org/10.3390/s20051379

Wadhwa, H., Varshneya, K., Stienen, M. N., & Veeravagu, A. (2023). Do Epidural Steroid Injections Affect Outcomes and Costs in Cervical Degenerative Disease? A Retrospective MarketScan Database Analysis. Global Spine J, 13(7), 1812-1820. https://doi.org/10.1177/21925682211050320

Xie, F., Beukelman, T., Sun, D., Yun, H., & Curtis, J. R. (2023). Identifying inpatient mortality in MarketScan claims data using machine learning. Pharmacoepidemiol Drug Saf, 32(11), 1299-1305. https://doi.org/10.1002/pds.5658

Yogesh, M. J., & Karthikeyan, J. (2022). Health Informatics: Engaging Modern Healthcare Units: A Brief Overview. Front Public Health, 10, 854688. https://doi.org/10.3389/fpubh.2022.854688

Publicado

2023-12-28

Como Citar

Pandian, V. ., & Brenner, M. J. . (2023). Revelar o potencial oculto dos megadados: Capacitar os enfermeiros através da ciência de dados. Revista De Enfermagem Referência, 6(2). https://doi.org/10.12707/RVI23ED3

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