Answered step by step
Verified Expert Solution
Question
1 Approved Answer
Post a comprehensive response to the following: Describe both AI and machine learning. Provide at least two examples of how each of these types of
Post a comprehensive response to the following:
- Describe both AI and machine learning.
- Provide at least two examples of how each of these types of healthcare analytic tools is used to solve problems and make decisions in healthcare administration.
- Describe at least one challenge associated with the use of tools in health analytics, like machine learning and AI, and explain the implications of this challenge for healthcare administrators.
- Evaluate at least one ethical concern associated with the use of tools in health analytics, like machine learning or AI, and explain the implications of this concern on decision-making in healthcare administration.
- Utilize references below
References
- Ball, H. C. (2021). Improving healthcare cost, quality, and access through artificial intelligence and machine learning applicationsLinks to an external site.. Journal of Healthcare Management, 66(4), 271-279. https://doi.org/10.1097/JHM-D-21-00149
- Bhatt, S., Cohon, A., Rose, J., Majerczyk, N., Cozzi, B., Crenshaw, D., & Myers, G. (2021). Interpretable machine learning models for clinical decision-making in a high-need, value-based primary care setting Download Interpretable machine learning models for clinical decision-making in a high-need, value-based primary care setting. NEJM Catalyst Innovations in Care Delivery, 2(4). https://doi.org/10.1056/CAT.21.0008
- Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcareLinks to an external site.. Future Healthcare Journal , 6(2), 94-98. https://doi.org/10.7861/futurehosp.6-2-94
- Ganguli, I., Gordon, W. J., Lupo, C., Sands-Lincoln, M., George, J., Jackson, G., Rhee, K., & Bates, D. W. (2020). Machine learning and the pursuit of high-value health care Download Machine learning and the pursuit of high-value health care. NEJM Catalyst Innovations in Care Delivery, 1(6). https://doi.org/10.1056/CAT.20.0094
- Gervasi, S. S., Chen, I. Y., Smith-McLallen, A., Sontag, D., Obermeyer, Z., Vennera, M., & Chawla, R. (2022). The potential for bias in machine learning and opportunities for health insurers to address itLinks to an external site.. Health Affairs, 41(2), 212-218. https://doi.org/10.1377/hlthaff.2021.01287
- Khan, M. S., Bates, D., & Kovacheva, V. P. (2021). The quest for equitable health care: The potential for artificial intelligenceLinks to an external site.. NEJM Catalyst Innovations in Care Delivery, 2(6). https://catalyst.nejm.org/doi/full/10.1056/CAT.21.0293
- Rajkomar, A., Dean, J., & Kohane, I. (2019). Machine learning in medicineLinks to an external site.. NEJM, 380(14), 1347-1358. https://doi.org/10.1056/NEJMra1814259
- Zimlichman, E., & Bates, D. (2021). The coming AI transformation of care deliveryLinks to an external site.. NEJM Catalyst Innovations in Care Delivery, 2(5). https://catalyst.nejm.org/doi/full/10.1056/CAT.21.0378
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started