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...
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Beteiligte Personen: | , , , , , , , , , , |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
[Erscheinungsort nicht ermittelbar]
O'Reilly Media, Inc.
2020
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Ausgabe: | 1st edition. |
Links: | https://learning.oreilly.com/library/view/-/9781492090038/?ar |
Zusammenfassung: | 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. |
Beschreibung: | Online resource; Title from title page (viewed September 25, 2020) |
Umfang: | 1 Online-Ressource (78 Seiten) |
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author | Finn, Jaquie Troughton, Gavin Baxter, Paul Cookson, Martin Cornish, Katie Corrigan, Joe Lye, Yan Sella, Noga Pumphrey, Sam Taylor, Ian Wagner, Chris |
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spelling | Finn, Jaquie VerfasserIn aut Predictive Analytics for Healthcare Finn, Jaquie 1st edition. [Erscheinungsort nicht ermittelbar] O'Reilly Media, Inc. 2020 1 Online-Ressource (78 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; Title from title page (viewed September 25, 2020) 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. Troughton, Gavin VerfasserIn aut Baxter, Paul VerfasserIn aut Cookson, Martin VerfasserIn aut Cornish, Katie VerfasserIn aut Corrigan, Joe VerfasserIn aut Lye, Yan VerfasserIn aut Sella, Noga VerfasserIn aut Pumphrey, Sam VerfasserIn aut Taylor, Ian VerfasserIn aut Wagner, Chris VerfasserIn aut Safari, an O'Reilly Media Company. MitwirkendeR ctb |
spellingShingle | Finn, Jaquie Troughton, Gavin Baxter, Paul Cookson, Martin Cornish, Katie Corrigan, Joe Lye, Yan Sella, Noga Pumphrey, Sam Taylor, Ian Wagner, Chris Predictive Analytics for Healthcare |
title | Predictive Analytics for Healthcare |
title_auth | Predictive Analytics for Healthcare |
title_exact_search | Predictive Analytics for Healthcare |
title_full | Predictive Analytics for Healthcare Finn, Jaquie |
title_fullStr | Predictive Analytics for Healthcare Finn, Jaquie |
title_full_unstemmed | Predictive Analytics for Healthcare Finn, Jaquie |
title_short | Predictive Analytics for Healthcare |
title_sort | predictive analytics for healthcare |
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