Predictive Analytics for Healthcare /
Before the onset of COVID-19, the healthcare community was already moving to meet the challenges of a growing global population. By collecting record amounts of clinical data electronically and making significant progress on neural network-based AI approaches, the industry now has the potential to b...
| Main Authors: | , , , , , , , , , , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
O'Reilly Media, Incorporated,
2020.
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| Edition: | 1st edition. |
| Subjects: | |
| Online Access: | Connect to this electronic resource |
| Summary: | Before the onset of COVID-19, the healthcare community was already moving to meet the challenges of a growing global population. By collecting record amounts of clinical data electronically and making significant progress on neural network-based AI approaches, the industry now has the potential to build powerful predictive analytics systems. The focus will accelerate the shift from a one-size-fits-all approach to individualized medicine. But several questions remain. What are the plausible outcomes for the world of predictive analytics in both the short and long term? What does the care pathway look like if everything is predicted? And with patient populations and healthcare needs increasing exponentially, how can the industry deliver care in a sustainable and cost-effective way? This comprehensive report, written by Jaquie Finn and Dr. Gavin Troughton with Cambridge Consultants, explores the possibilities. You'll learn: How predictive analytics plays a part across all stages of the care pathway The foundational enablers for predictive analytics How healthcare economics figure into the equation Predictive analytics and today's healthcare system The future of predictive analytics in healthcare |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (78 pages) |
| Format: | Mode of access: World Wide Web. |