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| Photo: Healthcare IT News (blog) |
As we live in the new world of quality, value-based care, we must be able to draw more insights and conclusions from ever-increasing amounts of information. We have the data, now we must put it to work. When we combine all of this data with machine learning, we are equipped to make smarter decisions. We have the power to transform healthcare – from the way we use electronic health records to the way we predict and deliver care.
A game changer for EHRs
Most EHRs are built on technology that is 20 or 30 years old. Generally, EHRs have kept up with rapid changes in healthcare by making incremental improvements over time. But it is challenging to retrofit EHRs to take full advantage of new innovations.
EHRs must do more than store data. They should be smart enough to deliver the right information at the right time, at the point of care. When an EHR is powered by machine learning, it can pre-populate information based on usage patterns and deliver preference reminders, constantly surveilling trends by user and organization to create opportunities for more effective care...
A game changer for population health, predictive modeling
Machine learning is also empowering us to analyze patient data at a level never before possible. We can now transform data into insights and actionable information.
Just think how a "data lake," where we are able to store millions of de-identified patient information to structure and to analyze data and study problems that are meaningful to health care, could transform diabetes care, for example.
We now have the power to compare things like blood sugar levels, body mass index, age and other risk factors and analyze treatment outcomes...
The way of the future
...extraordinarily exciting set of capabilities today that didn't exist a decade ago. It enables computers to handle greater amounts of work than human beings can undertake, and will become increasingly important in this era of consumerization...
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Source: Healthcare IT News (blog)
