Featured Dashboards Articles
How New Tools In Data And AI Are Being Used In Healthcare And Medicine
AI will have a huge impact on healthcare. It is currently moving out of the laboratory and into real-world applications for healthcare and medicine. Many startups are using modern data and AI technologies to tackle problems related to workflow optimization and automation, demand forecasting, treatment and care, diagnostics, drug discovery, personalized medicine, and many other areas. Some of these companies are beginning to speak publicly about their AI initiatives; our upcoming Artificial Intelligence conferences in San Jose and London have a strong roster of speakers who will describe applications of AI in Health and Medicine.
Never Argue With The Data: How A Cartoon Predicted Amazon’s Future In Healthcare
Beginning in 2002 and ending a scant four years later, the animated series “The Adventures of Jimmy Neutron: Boy Genius” followed the exploits of Jimmy and his none-too-bright buddy Sheen. And while the animators and writers may not have realized it at the time, they had the prescience to predict Amazon’s ascent to healthcare prominence, or dominance, depending on how you look at it.
Telehealth Underground: Why Subterranean Data Centers Provide The Most Resilient Infrastructure For Telemedicine Data
According to the American Telemedicine Association, more than one-half of U.S. hospitals now have a telehealth program in place. Overall, 71 percent of healthcare providers are using telehealth or telemedicine technologies to provide medical services in ambulatory and inpatient settings. Telehealth produces a deluge of data, including vital sign and symptom collection from patients, leading some healthcare providers to worry that critical information may get lost in the coming data tsunami which might provide a basis for medical malpractice complaints.
How To Improve Healthcare Operational Efficiency Through Lean Principles And Predictive Analytics
Operational dilemmas are experienced in all industries. Airlines, for example, are arguably more operationally complex, asset-intensive and regulated than hospitals, yet the best performers are doing a far better job than most hospitals at keeping costs low and make a decent profit while delivering what their customers expect. Southwest Airlines, for example, has figured out how to excel at the two operational things that matter most: Keep more planes in the sky more often, and fill each of them with more passengers and more often than anyone else. Similarly, winners in other complex, asset-intensive, service-based industries — Amazon, UPS and FedEx — have figured out how to over deliver on their promise while staying streamlined and cost-effective.
Using Data Analytics To Drive Improvement Throughout Healthcare
Healthcare is one of the most expensive industries in the United States. For years, experts have tossed around potential cost-saving solutions, often involving the integration of technology into health facilities. Many of these solutions focus on the flashy topic of artificial intelligence. And while the potential cost savings with AI implementation are projected equate up to $150 billion annually in the health field, there are simple investments that are being overlooked that will not only help prepare health facilities for implementing AI down the road, but will provide results now.
Give Healthcare Teams What They Want In Data Analytics
Consumers today expect technology to be not only fast, but readily available and intuitive as well. With smart phones, tablets and other everyday technologies, we have become accustomed to searching for and finding what we need instantly. Healthcare informatics professionals are no different. Just 10 years ago, people accepted that software might take longer to answer a question, run calculations or even move to another screen.
Predictive Analytics Support Patient Goals Of Care For Individuals With Advanced Illness
Thanks to an ambitious Health and Human Services timeline that hopes to see 90 percent of traditional Medicare payments transformed into value-based reimbursement, healthcare payers, particularly Medicare Advantage plans, are relying more heavily upon population health and data analytics to track, forecast and improve patient outcomes.
Where Should Healthcare Data Be Stored In 2018 — And Beyond?
New technologies offer leaps in healthcare capabilities, but the resulting explosion of data leads to new maladies to cure.
Putting Medication Data To Good Use
Imagine that a health system enrolls all of its fully at-risk patients into its high-touch care management program to better manage costs and care quality. The care management team must understand the medications each patient is taking, whether or not they are adhering to them and if they are following their care plan.
10 Questions: Is Your BDR Keeping Pace With Changing Technology?
Every IT pro likes to talk about the changing technology landscape – it’s pretty much a cliché these days. What gets less attention is how radically the backup and disaster recovery world has changed in recent years. New threats and new demands for resiliency have changed expectations; new technologies have changed the potential for recovery and efficiency.