Healthcare orgs tap cloud to help manage increasingly large data sets
Producing metrics that support value-based payment programs and evidence-based medicine depends on identifying accurate, actionable information that will improve treatments and patient outcomes while driving costs down.
Healthcare organizations are increasingly looking for actionable information that will help them improve care for patients with chronic illnesses, identify higher-risk patients for hospital readmissions or find several other patient trends around medication consumption.
And to help them cloud-based solutions may be exactly what, well, the doctor ordered.
So writes Shahzad Ahmad, vice president of cloud operations and delivery for NextGate, a provider of cloud-based patient matching & identity management solutions, in a recent commentary at HealthDataManagement.
“The challenges of continuous collection, organization, maintenance and analysis of patient data—combined with a ubiquitous new technology including wearables—are all part of the growing concerns health organizations have as they seek to understand and predict patients’ health risks,” Ahmad explains. “While the traditional provider and payer institutes remain as the primary source of patient data, social media platforms, health apps on mobile devices and wearables are increasingly providing important health information that helps capturing various real-time data metrics on a patient’s health and general wellness.”
Add to that the fact that electronic patient records continue to increase in size, and the consequence is that “to harvest best results, healthcare organizations need to utilize highly integrated systems that enable not only swift computing but also offer infinite scalability.”
Part of the solution, Ahmad says, involves healthcare organizations tapping “managed service providers (MSPs) to help them design and manage appropriate data architectures, based on scalable solutions, for autonomous delivery of their strategic initiatives. MSPs can help healthcare organizations leverage critical IT skills and find the right tools to design a project that captures and analyzes both structured and unstructured data.”
Luckily for data managers, he says, technological advancements have made it possible for health organizations to retire legacy data management tools in favor of more flexible, scalable solutions to meet their needs.
In short, “cloud computing architecture allows large data sets to be hosted, maintained, easily accessed and rapidly analyzed, making big data queries easier to process in a timely and cost-effective manner.”