AI, and Then What?

The last time we discussed artificial intelligence (AI) and machine learning, we covered the basics of what they are, what they are not, and how useful they are when applied to the healthcare industry. Today we are discussing the human side of AI’s capabilities; how the insights gathered from these analytics allow care plans and patient interventions to take shape for physician and care team action. AI and machine learning allow healthcare providers to better tailor care and maximize the impact of their in-person visits with patients. These focused interventions give providers the ability to continuously survey data and generate insights that can be crafted into care pathways, empowering care managers and helping them understand an intervention’s success.   The Importance of Machine Learning  AI and machine …

Artificial Intelligence in Healthcare

Three major buzzwords in healthcare information technology are artificial intelligence (AI), machine learning, and deep learning. Since significant noise surrounds these topics, we decided to address what AI actually is and how we use it at Lightbeam within our strategies. The Differences Between AI and Machine Learning I want to start by defining what AI is not: AI is not a doctor. AI is not merely a set of rules. Instead, AI is the development of computer systems to aid or enhance a set of tasks that normally require human intelligence. Examples include visual perception, speech recognition, decision-making, and translation …