Breaking down AI: 10 real applications in healthcare

84% of healthcare executives believe that artificial intelligence (AI) will revolutionise the way they gain information1. The transformational power of AI has been long awaited in the healthcare sector. Whilst the promise of what AI can deliver in the future is very real, there are practical AI applications healthcare providers are using right now to deliver better care.

This eBook explores how 10 of these applications are helping hospitals glean better insights from their data, and dramatically transforming the way they deliver care to patients. With better access to the right data, at the right time, you can reduce operating costs, improve quality of care, increase the involvement of consumers in the care process, and optimise provider satisfaction.

Breaking down AI: 10 real applications in healthcare

Who is this eBook for?

This eBook is for a healthcare practitioner who is interested in uncovering:

  • The healthcare opportunity: AI and data
  • How does AI lead to better care?
  • Clinical Analytics in healthcare
  • Operational analytics in healthcare
  • Holistic analytics in healthcare
  • Keeping up with the digital revolution

How can a healthcare practitioner use real-time data and AI?

AI systems process large amounts of data in real-time to identify patterns. This information is then used to automate and streamline healthcare processes. Here are a few examples of what AI systems can do:

  • Predict the future condition of individual patients based on early warning signs.
  • Determine best practices in operations management by comparing data from multiple facilities.
  • Recommend medications based on the successful treatment of similar patients.
  • Detect and prevent fraudulent claims or other abuses.

Want to learn more? Download the eBook.

Ready to transform how you deliver patient care?

Data#3 is an Australian technology services and solutions company that has been working closely with healthcare providers for more than 25 years. Contact a Data#3 Health Specialist to discuss ways in which we can help your organisation deliver better outcomes to the people who matter.

  1. Accenture (2017). Digital Health Technology Vision. [Online] Available at https://www.accenture.com/t20171213t060208z__w__/us-en/_acnmedia/pdf-49/accenture-digital-health-technology-vision-2017.pdf 

Tags: Cloud, Microsoft, Microsoft Azure, Big Data, Artificial Intelligence (AI), Healthcare, Digital Transformation, Data & Analytics, Automation

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