The new year has just begun and the flurry of predictions for 2019 are popping up everywhere. Healthcare thought leaders have joined in offering their forecasts and ruminations around what we can expect over the next 12 months. We did the same and asked prominent thought leaders to offer their opinions in our prediction post earlier this year.
But what about the predictions made a year ago? How did the 2018 predictions actually turn out and what will continue into 2019?
We took a look back to see what we could find. As expected, there were hits and misses but there were five that were on...
The U. S. healthcare industry now produces an estimated 1.2 billion clinical care documents a year. Within those documents is an amazing amount of detail on an individual patient’s care plan, medical history and overall health. So why is this type of data, not often touted, important? When analyzed, this detailed patient data has the potential to improve healthcare outcomes. The only problem is that about eighty percent of that data is unstructured¹.
Longitudinal data – data that includes all healthcare encounters of a patient or member over a continuum of care and time – is critically...
The power and effectiveness of artificial intelligence (AI) and its continued integration into everyday life is becoming more widely accepted. This is especially true in healthcare where researchers are making significant strides in identifying the causes of and providing more effective treatments for major diseases.
But among these successes is a question of whether some AI results may be biased. A recent article in Fast Company acknowledges that AI should be “the great equalizer” because it is all about objective math and calculations. But the article raises the question of “creator bias”...
