The Impact of Artificial Intelligence on Organizational Development: A Case Study of Medanta
DOI:
https://doi.org/10.69968/ijisem.2024v3si266-71Keywords:
Artificial Intelligence, Organizational Development, Healthcare, Medanta, Clinical Decision Support, Operational EfficiencyAbstract
The rapid progress of artificial intelligence (AI) has remarkably transformed various industries, including healthcare. The present research paper explores the impact of the Artificial Intelligence on the organizational development of Medanta, a care provider, one of India's leading multi-specialty hospitals. By analyzing AI's role in various aspects of Medanta's operations, the paper aims to provide significant insights into the operations of Medanta, focusing on areas such as operational efficiency, patient care, clinical decision support, staff development and contribute to the hospital's overall growth. The findings as per study suggest that AI has played a crucial role in enhancing the hospital's efficiency, encouraging innovation, and enhancing patient outcomes. It also highlights challenges, including ethical considerations, the need for a continuous staff-training and data privacy concerns.
References
[1] Bughin, J., Seong, J., Manyika, J., Chui, M., & Joshi, R. (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy. *McKinsey Global Institute*.
[2] Cummings, T. G., & Worley, C. G. (2014). *Organization Development and Change* (10th ed.). Cengage Learning.
[3] Gupta, S., & Trehan, N. (2018). Expanding Access to Quality Healthcare: Medanta's Growth Strategy. *Indian Journal of Health Economics*, 13(2), 125-134.
[4] Gupta, S., & Trehan, N. (2022). Transforming Healthcare Administration through Artificial Intelligence: The Case of Medanta. *Journal of Health Administration Research*, 13(4), 215-222.
[5] Hsieh, H.-F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. *Qualitative Health Research*, 15(9), 1277-1288. https://doi.org/10.1177/1049732305276687
[6] Kahn, C. E., & Langlotz, C. P. (2018). The role of data quality in AI applications in healthcare. *Journal of Digital Imaging*, 31(3), 369-374. doi:10.1007/s10278-018-0174-3
[7] Kaur, H., & Trehan, N. (2017). Harnessing Big Data in Healthcare: The Medanta Experience. *Healthcare Informatics Research*, 23(4), 290-298.
[8] Kaur, H., & Trehan, N. (2021). Personalized Healthcare through Artificial Intelligence: Insights from Medanta. *Journal of Personalized Medicine*, 11(1), 45-52.
[9] Kumar, P., & Trehan, N. (2021). The Role of Artificial Intelligence in Clinical Research: A Focus on Medanta. *Clinical Trials Journal*, 18(2), 130-135.
[10] Kumar, R., & Trehan, N. (2020). Energy Management in Healthcare Facilities: The Role of Artificial Intelligence. *Journal of Sustainable Energy*, 12(2), 145-152.
[11] LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep Learning. *Nature*, 521(7553), 436-444. https://doi.org/10.1038/nature14539
[12] Lee, S. I., & Raghunathan, S. (2019). The impact of AI on healthcare: A global perspective. *Health Systems*, 8(2), 102-112. doi:10.1057/s41306-019-0008-4
[13] Medanta - The Medicity. (n.d.). About Us. Retrieved from [Medanta Official Website]
[14] Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the future-big data, machine learning, and clinical medicine. *New England Journal of Medicine*, 375(13), 1216-1219.https://doi.org/10.1056/NEJMp1606181
[15]Raj, B., & Trehan, N. (2020). The Role of Artificial Intelligence in Radiology: Enhancing Diagnostic Accuracy. *Indian Journal of Radiology and Imaging*, 30(3), 265-270.
[16] Russell, S. J., & Norvig, P. (2009). *Artificial Intelligence: A Modern Approach* (3rd ed.). Pearson.
[17] Shapiro, J., & Ravaud, J.-F. (2018). The impact of longitudinal studies in healthcare: A systematic review. *BMC Health Services Research*, 18(1), 283. doi:10.1186/s12913-018-3044-4
[18]Sharma, M., & Trehan, N. (2020). Enhancing Operational Efficiency in Healthcare through Predictive Analytics: The Medanta Approach. *International Journal of Health Management and Information*, 5(2), 85-92.
[19] Singh, A., & Trehan, N. (2021). Leveraging Artificial Intelligence in Clinical Decision Support: A Case Study of Medanta. *Healthcare Informatics Research*, 27(1), 12-19.
[20] Singh, A., & Trehan, N. (2022). AI in Drug Discovery: Innovations and Applications in Clinical Settings. *Journal of Drug Development Research*, 28(3), 201-207.
[21]Topol, E. J. (2019). Deep medicine: How artificial intelligence can make healthcare human again. *Basic Books*.
[22]Trehan, N. (2010). The Future of Healthcare in India: A Visionary Perspective. *Journal of Cardiovascular Surgery*, 51(3), 239-243.
[23]World Health Organization. (2020). Telemedicine: Opportunities and developments in Member States. Retrieved from [WHO]
[24] World Health Organization. (2018). Health Care Waste Management: A Guide for Healthcare Facilities. Retrieved from [WHO]
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