Information Technology advances in healthcare Elets CIO
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That demands a significantly more robust infrastructure than just an EHR.Medical devices to provide up-to-the-second information on patient vitals , while alerts and alarms have to be and presented to clinicians without their workflows or annoying them into ignoring critical warnings. Clinical decision support systems more accurate diagnoses and treatments must be able to draw on as much patient information as possible, even if that data is contributed through a health information exchange.It is no wonder that providers are struggling to secure sufficient funding to invest in these myriad tools, and continue to face adoption and utilization challenges even if they do. Despite a widespread interest in the promises of predictive analytics, technological roadblocks and competing initiatives have been difficult to overcome while the technology market works .But those organizations that have cleared the initial hurdles of healthcare big data analytics are doing and their own financial health. Predictive risk scores that help to prevent suicides, increase watchfulness in the ICU, aid surgeons in their decision-making, and even identify patients whose genes might betray them are becoming increasingly commonplace. from cognitive computing engines, natural language processing, and free-text analytics can help providers pinpoint diagnoses that might otherwise elude them, while population health management tools can highlight those most at risk of being readmitted to the hospital or developing costly chronic diseases.Predictive analytics may be difficult, but healthcare organizations across the country aren’t letting that stop them from making significant progress with measurable impacts on the lives of patients.Prescriptive analytics: Making the future work for youThe final phase of healthcare big data analytics involves obtaining prescriptive insights. Prescriptive analytics moves beyond the ability just to predict an upcoming event and provides the capability to do something about it.For example, if an organization is experiencing an inordinately high number of hospital-acquired infections, a prescriptive analytics program would not just flag the anomaly and highlight which patients in the ICU may be next on the list due to their vulnerable vitals, but would also automatically identify the particular nurse involved in the care of all these patients who may be spreading the infection and might need to be retrained about . It may also help the hospital develop a more to help prevent similar outbreaks in the future.Prescriptive analytics doesn’t just predict what’s likely to happen, but actively suggests how organizations can best take action to avoid or mitigate a negative circumstance. It requires such a seamless and completely integrated data analytics infrastructure that just a smattering of healthcare organizations have the capability to engage in this ultimate application of data in a large-scale or meaningful way.But prescriptive analytics is the future of healthcare big data, and it’s on its way to becoming a reality. As creates a new way of looking at health information and machine learning advances and algorithms become almost unnervingly sophisticated in their ability to calculate the behaviors of nearly everything, from consumers choosing products at the grocery store to the minute movements of the stock market, the healthcare industry has an enormous opportunity to take advantage of these decision-making abilities.The future of prescriptive analytics is nearly unlimited in its scope and depth as developers dream up the technologies of the future. While too many healthcare providers are still trying to claw their way out of locked rooms of unusable EHR data, an industry-wide push towards viewing healthcare big data analytics as the answer to so many critical questions is accelerating the development of an infrastructure capable of becoming the foundation for prescriptive analytics and truly meaningful advances in the quality, timeliness, and effectiveness of patient care.