Sorting out AI, ML, DL, and NLP
The alphabet soup of acronyms in the world Artificial Intelligence. What are they? What do they mean? What is the difference between them? This is our ongoing reporting on AI and how it is being integrated into healthcare technology. We are seeking out the thought leaders and innovations that are moving the needle forward using artificial intelligence. Read more posts on Artificial Intelligence in Healthcare.
Follow the hashtag #AIinHealthcare.
Tune in to Payment Matters to hear leading payments expert Jeff Lin chat with industry experts and thought leaders on the latest trends, regulations, and innovations impacting the healthcare payments landscape. He’ll tackle real issues happening in healthcare payments including the new expectations of consumers, the increasing risks associated with security and compliance and what the latest political debate really means for providers, payers, and consumers. On this episode, Jeff talks to Guillaume De Zwirek, CEO of Well Health, a communication platform that connects patients to healthcare organizations via text, phone, email and live-chat. Jeff and Guillaume discuss topics including healthcare consumerism and AI.
John Halamka: Telehealth, Apps & AI Make Progress, But Will Everyone Benefit? – John Halamka thinks the digital health industry is still “emerging.” But it has come a long way and is starting to deliver after years of hype. Halamka, a Boston-based physician and healthcare technology expert, says that’s thanks to several coalescing factors: improved technology, more favorable financial incentives for using digital products in healthcare, and growing demand from patients accustomed to tech-enabled convenience in other areas of their lives.
In the News
Syft Adds AI Capabilities to its Real-Time Supply Chain Analytics Platform
Syft (@SyftCorp), a national provider of healthcare inventory control and end-to-end supply chain cost management software and services, announced new artificial intelligence (AI) capabilities in its Syft Synergy Platform 4.1. The AI algorithms in the supply chain software enable procedural level decision support metrics on costs and variance data linked to patient outcomes.
New Tampa General Hospital center uses human and artificial intelligence to improve patient care
Tampa General Hospital (@TGHCares) launched a high-tech “mission control” clinical command center which uses artificial intelligence and predictive analytics to improve and better coordinate patient care at a lower cost. The hospital’s new center is called CareComm and has been developed in partnership with GE Healthcare.
Great Lakes Health Connect Partners with Secure Exchange Solutions
Secure Exchange Solutions (SES) (@Secure_Exchange), a provider of interoperable, cloud-based clinical data exchange and Artificial Intelligence (AI) powered clinical review technologies, announced a collaboration with Great Lakes Health Connect (GLHC) (@GLHC_HIE), the provider of health information exchange designed to share clinical and administrative data among providers in Michigan and neighboring states. Secure Exchange Solutions will deliver SES Direct to the Great Lakes network to address the need for faster, streamlined communications.
Veeva Brings Artificial Intelligence to Drug Safety
Veeva Systems (@veevasystems) announced Veeva Vault Safety.AI, a new artificial intelligence (AI) application that automates case intake to reduce the time and effort of manual data entry for more efficient case processing. Together with Vault Safety and Vault SafetyDocs, Veeva offers the first integrated suite of cloud applications on a common platform to manage the end-to-end drug safety lifecycle, from case intake and adverse event processing to authoring and submissions.
UCHealth’s virtual assistant “Livi” powered by conversational artificial intelligence (AI) now available on smart speaker devices
UCHealth (@uchealth) now offers a virtual assistant who allows patients to interact universally across the health care system using conversational AI, accessed through smart speakers. UCHealth’s vision for Livi to be a fully functional, all-inclusive virtual assistant sets the health care system apart from others that have launched virtual assistants only for a few services or specific tasks.
Artificial Intelligence (AI) Health Outcomes Challenge – Launch Stage Extension
There was overwhelming interest in the CMS Artificial Intelligence (AI) Health Outcomes Challenge and more than 300 launch stage applications were submitted. To allow enough time for a thorough and fair review of all applications, the judging period for the Launch Stage is being extended and announcement of Stage 1 participants will be made in October 2019.
American Hospital Association
— Health Forum (@ahahealthforum) August 6, 2019
- Patrick Grossmann @GrossmannPat
- Steven Astorino @astorino_steven
- AI Healthcare News @AIHealthNews
- Mirada Medical @MiradaMedical
- IBM Watson Health @IBMWatsonHealth
- CrossChx @CrossChx
- Dr. Eric Topol @EricTopol
- Dr. Marc Chasin @M_Chasin
The Basics and Resources
From the leading text book around the world, Artificial Intelligence: A Modern Approach.
Artificial Intelligence is composed of six different disciplines:
- Natural Language Processing to enable it to communicate successfully in English
- Knowledge Representation to store what it knows or hears
- Automated Reasoning to use the stored information to answer questions and to draw new conclusions
- Machine Learning to adapt to new circumstances and to detect and extrapolate patterns
- Computer Vision to perceive objects
- Robotics to manipulate objects and move about
To build a generally intelligent agent, you need machine learning in addition to the other aspects mentioned above.
Machine Learning is roughly the science of prediction. Given certain knowns (features), you wish to predict some unknowns (targets). The unknown could be structured (e.g. numeric) or unstructured (e.g. a string response).
Deep Learning is a sub field of machine learning where concepts are learned hierarchically. The simplest concepts emerge first, followed by more complicated concepts that build on the simpler ones. Usually, this leads to a simple layered hierarchy of concepts.
Optum Resource Library
Natural Language Processing: AI with an ROI
Health care providers need to see a return on any analytic investment they make. Natural language processing (NLP) is one way AI can help providers convert the potential within their health data into quality improvement and cost savings. Natural language processing is an AI technology that actually makes sense for health care.
Navigating the A.I. and Cognitive Maze – If you work in the area of Artificial Intelligence (AI) and Cognitive Computing, you might use buzz words and phrases which to others might be perceived as confusing jargon. This article attempts to explain what these terms mean, how they relate to one other and where they all fit along the AI and cognitive time continuum. I include a glossary of my top 20 useful AI/cognitive terms — and advice on getting started on your AI/cognitive journey.