The potential for artificial intelligence in healthcare

Потенциал искусственного интеллекта в здравоохранении
Thomas H. Davenport, Ravi Kalakota
2019-06-01
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artificial intelligencediagnosis and treatment recommendationsethical issueshealthcarepatient engagement and adherence
Abstract (AI)
The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. Although there are many instances in which AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professional jobs for a considerable period. Ethical issues in the application of AI to healthcare are also discussed.
Key Findings
1
AI applications in healthcare primarily involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities.
2
AI can perform many healthcare tasks as well as or better than humans, but implementation factors will delay large-scale automation of healthcare professional jobs.
3
Ethical issues remain an important consideration in applying AI to healthcare.
4
Healthcare’s increasing data complexity is driving broader adoption of artificial intelligence across the field.
5
Payers, healthcare providers, and life sciences companies are already employing several types of AI.
Research Object

Artificial intelligence applications in healthcare

Research Subject

The potential, implementation barriers, and ethical implications of AI for healthcare diagnosis, treatment recommendations, patient engagement, adherence, and administrative activities

Publication Details
Publication Date
2019-06-01
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Authors
Thomas H. Davenport
Ravi Kalakota
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