The application of analytics and capturing information inside business documents can lead to all sorts of information for running smarter, faster and highly competitive businesses. Take a look at a few examples of how a workflow can dramatically change where and how information is collected and
By using predictive analytics, providers can use real-time data to see risk factors that previously went undetected. Armed with this information, healthcare systems can then intervene and hopefully change the course of the patient's future health.
Determining the total cost of care for a patient is not an easy task. By using big data in healthcare, however, providers can accurately determine the overall cost and use this insight to provide higher quality service at a lower price tag.
By remotely monitoring patients, doctors can reduce costly visits while still providing top-quality care for their patients. Real-time analytics allows doctors to immediately spot problems and intervene, even before patients know something is wrong.
It's no secret that there are wasted resources in the healthcare system, but it can often be hard to find areas where small changes can result in big savings. With data analytics, however, providers can find cost-saving measures that also improve the quality of patient care.
How does a vital community college identify areas contributing to its steep, 10 percent student retention decline and take the next steps to do something about it? Learn how Finger Lakes Community College, with limited resources, successfully targeted at-risk students before they dropped out in
When International Medical Corps wanted to bring data from disparate sources together into an across-the-board information platform, it turned to IBM for help. Now, thanks to a combination of IBM solutions, IMC is building its future efforts on a foundation of ready data, allowing its personnel to
Does data extortion or ransom that targets the healthcare industry require different approaches to data breaches and protection than other industries? Despite opinions to the contrary, no cybersecurity crises are specific to the healthcare industry. Its organizations can use the same data
The success you achieve with your analytics strategy depends on the foundation you lay at the outset. Learn how you can prepare yourself—and your patients—for success by adopting a data model that helps you make the most of your data.
Provider data can be hard to pin down amid the winds of change that lash the healthcare environment from all directions. Rather than stumbling blind through a blizzard of competing demands, turn to IBM Master Data Management solutions to help you stay on top of your provider data.
Pinning down a comprehensive definition for patient engagement is no easy feat. Its definition is predicated on a wide range of characteristics and interactions between patients and institutions. Attendees of the Health Information and Management Systems Society (HIMSS16) conference can consider a
Learn about the extraordinary potential of predictive analytics for helping with prevention, wellness management, fraud detection and more in healthcare. Listen to this podcast featuring Findability Sciences Founder and CEO Anand Mahurkar and Shahid Shah, CEO at Netspective Communications and