Healthcare Needs Artificial Intelligence and Machine Learning

Healthcare Needs Artificial Intelligence and Machine Learning

Cylera Team
By Cylera Team

 

The promise of AI is real and it's already here. Here's why healthcare delivery organizations need AI. 

Artificial intelligence (AI) is gradually becoming more prevalent in the healthcare industry, as the complexity of informational data increases. With the recent advances in digitalized data acquisition, machine learning, and computing infrastructure, AI applications are expanding into areas that were previously thought to be for human experts only. Advance algorithms are enabling big real-world advances and are getting more intelligent by the day. Key categories of AI applications include diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. 

Types of AI in Relevance in Healthcare

Artificial intelligence is not one technology, but rather a collection of them. These technologies are immediately applicable to the healthcare field, but vary based on the specific processes and tasks. Types of AI include machine learning (ML), natural language processing, rule-based expert systems, physical robots, and robotic process automation. 

The most common form of AI, is machine learning (ML), a statical technique for finding patterns in data. Machine learning powers many services we use today including recommendation systems (e.g., Netflix), search engines (e.g., Google), social media feeds (e.g., LinkedIn), and voice assistant (e.g., Alexa). In healthcare, the most common application for ML is precision medicine - predicting which treatment protocols are likely to succeed on a patient based on various patient attributes and treatment context.

Listen to the Experts

In a recent discussion panel, cybersecurity and healthcare security experts discuss the growing need for artificial intelligence in healthcare, everything from clinical decision support to administration/revenue cycle and cybersecurity. To join them, check out the video below. 

The video features:

  • Zeeshan Syed, Director of Clinical Inference and Algorithms Program at Stanford Health Care
  • Nathan Wenzler, Chief Security Strategist at Tenable 
  • Mark Anderson, President at HealthPointe Solutions
  • Anthony Change, MD, Chief Intelligence and Innovation Officer at CHOC Children's 
  • Jennifer Esposito, Vice President at Magic Leap 
  • Robin Frady, Executive Director of Business & Clinical Intelligence at Grady Health Systems
  • Mark Plaskow, Chief Technology Officer at Trifecta Health Solutions 
  • Richard Staynings, Chief Security Strategist at Cylera
  • Kristi Ebong, SVP of Corporate Strategy at Orbita 

Watch other HIMSS Interviews with Richard Staynings from:


HIMSS AsiaPac19 Bangkok

HIMSS Singapore eHealth and Health 2.0 Summit

 

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