Machine Learning vs. Deep Learning

Lightbeam is positioned to expand your ability to deliver care in an efficient way using artificial intelligence (AI) insights. In my most recent blog post, I shared what AI is and the use cases for it within the population health management realm. Many companies are beginning to integrate machine learning and deep learning into their offerings and I want to better explain the technology, so you can differentiate product offerings. We live in a data-driven analytic world where providers are trying to figure out the most efficient ways to solve problems and improve care. Artificial intelligence tries to solve problems …

Delivering Artificial Intelligence Insights to Healthcare Organizations

The big buzzwords right now in healthcare information technology are artificial intelligence (AI), machine learning, and deep learning. Because there is so much noise, I would like to start off by defining what AI is not. AI is not a doctor. AI is not simply a set of rules. Rather, true AI for healthcare is a model based on clinical standards that aids clinicians and health organizations across the spectrum to deliver one thing: quality care to the patient. Lightbeam recently published a press release announcing the integration of AI, machine learning, and deep learning functionality into our population health …

Why Data Quality Makes or Breaks Population Health Efforts

When it comes to Population Health Management, the purpose of data aggregation and normalization is to blend data from different sources together to create a universal destination that aids providers and medical groups in their clinical and financial decision-making. To get patient data represented properly, it’s crucial the data extraction process from source system to the Data Warehouse is as smooth and efficient as possible. However, when source systems lack data governance, there can be major roadblocks that hinder accurate analytics and factual reports. Complications arise with the following scenarios: Entering custom codes into data capture systems Customizing source systems …