New this week: big growth for big data; HIT moves patient data to the cloud
Diagnostic Reading summary includes: expect growth for big data and analytics; researchers are learning better ways to harness the power of predictive analytics; new vaccine that doesn’t require refrigeration could save children’s lives in developing countries; facial recognition software diagnoses rare diseases; and healthcare organizations move patient data to the cloud.
Big data, analytics to see double digit revenue growth through 2020 – Health Data Management
Worldwide revenues for big data and business analytics will reach $150.8 billion in 2017, an increase of 12 percent over 2016, according to a report from IDC. And these products and services are expected to maintain a compound annual growth rate of 12 percent through 2020, when revenues will be more than $210 billion, IDC said. Healthcare is among the industries that will experience the fastest growth in spending.
Predictive analytics is about finding patterns, riding a surfboard in a data tsunami – Healthcare IT News
As data analytics progresses, researchers are learning more about how to harness the massive amounts of information being collected in the provider and payer realms and channel it into a useful purpose for predictive modeling and population health management—as well as for a multitude of clinical and administrative functions.
No need for a refrigerator with these vaccines – Clinical Innovation+Technology
Rotavirus causes one third of all cases of diarrhea, the second largest cause of death in children. And while vaccines for rotavirus are available, people residing in developing countries have little access due to the complications involved in transporting and preserving these medications. A new vaccine that doesn’t need refrigeration could be the answer. It’s currently being tested in Niger by Doctors Without Borders.
Facial recognition diagnoses rare disease with 96.6% accuracy – Clinical Innovation+Technology
Researchers with the National Human Genome Research Institute used facial recognition software to diagnose rare genetic diseases in African, Asian, and Latin American populations with 96.6 percent accuracy. A study demonstrates the accuracy of facial recognition technology in diagnosing a genetic disease that affects children and causes a variety of defects including cleft palate, heart defects, and learning difficulties.
According to a recent study, 55 percent of healthcare organizations have already moved mission-critical workloads, including sensitive patient data, to a cloud or software-defined data center. The same study also found that 77 percent of these organizations plan to move more workloads onto a public cloud service.
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