Servicenow & Generative AI: Improving Infant Mortality Rate

Authors

  • Sravanthi Mallireddy Software Developer Author

DOI:

https://doi.org/10.15680/nw4cqr77

Keywords:

Rural Health Authorities (RHAs), AI and machine learning

Abstract

The  paper  explores  the  integration  of ServiceNow  and  Generative  AI  to  improve healthcare delivery and reduce infant mortality rates. By combining ServiceNow's process automation and service management capabilities  with  Generative  AI's  predictive  analytics, healthcare providers can make better decisions and allocate resources.  Machine  learning  algorithms can  predict newborn mortality by examining birth weight, gestational age, and maternal health status. Gen AI can automate operations,  produce personalized treatment plans, and enable real- time monitoring of at-risk populations. The study aims to contribute to global public health initiatives by  focusing  on  creative  solutions  and  best  practices, emphasizing the importance of interdisciplinary collaboration  and  pushing  for  legislative  reforms  to incorporate advanced technical solutions into mother and child health programs.

References

1. Kwok TC, Henry C, Saffaran S, Meeks M, Bates D, Van Laree D, et al. Application and potential of artificial intelligence in neonatal medicine. Semen Fetal Neonatal Med. (2022) Apr 18;101346.

2. Fairchild KD, Schelonka RL, Kaufman DA, Carlo WA, Kattwinkel J, Porcelli PJ, et al. Septicemia mortality reduction in neonates in a heart rate characteristics monitoring trial. Pediatr Res.2013;74:570–5.

3. Hoodbhoy Z, Masroor Jeelani S, Aziz A, Habib MI, Iqbal B, Akmal W, et al. Machine learning for child and adolescent health: A systematic review. Pediatrics. (2021) Jan;147.

4. Stoll BJ, Hansen NI, Bell EF, Walsh MC, Carlo WA, Shankaran S, et al. Trends in care practices, morbidity, and mortality of extremely preterm neonates, 1993-2012. JAMA. 2015;314:1039–51.[PubMed] [Google Scholar]

5. Sullivan BA, McClure C, Hicks J, Lake DE, Moorman JR, Fairchild KD. Early heart rate characteristics predict death and morbidities in preterm infants. J Pediatr. 2016;174:57–62.[PubMed] [Google Scholar]

6. Rowe M. An introduction to machine learning for clinicians. Acad Med. 2019;94:1433–6.

7. Beam AL, Kohane IS. Big data and machine learning in health care. JAMA 2018;319:1317–8..[PubMed] [Google Scholar]

8. Australian Institute of Health and Welfare. (2020). Rural and remote health. https://www.aihw.gov.au/reports/ australias- health/rural-and-remote-health[Google Scholar]

9. "ServiceNow Implementation in Healthcare: A Case Study" – Journal of Healthcare Informatics

10. Healthc Manag 2021 Jan 15;14(1):280-289. 4. Frank SR. Digital health care--the convergence of health care and the internet. J Ambul Care Manag 2000 Apr;23(2):8-17. [FREE Full text] [CrossRef] [Medline]

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Published

2023-10-17

How to Cite

Servicenow & Generative AI: Improving Infant Mortality Rate. (2023). International Journal of Computer Technology and Electronics Communication, 6(5), 1-7. https://doi.org/10.15680/nw4cqr77

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