Big Data In Healthcare

Explain in detail why data is key to developing population health.

Big data is everywhere in the healthcare industry, flooding in by the gigabyte each time a patient seeks care from a provider. From intake to discharge and every step in between, a patient’s data determines what will happen, who will be involved, how much it will cost, and what the patient should do next. Before the rise of value-based care payments predicated on positive outcomes, providers were able to open up a patient’s health record when she stepped through the door, add their notes to the file as they treated a specific concern, and stow it in the filing cabinet again without giving much of a thought to what was happening before, after, or even at the same time in a different

Big data in healthcare is overwhelming not only because of its volume but also because of the diversity of data types and the speed at which it must be managed. The totality of data related to patient healthcare and well-being make up “big data” in the healthcare industry. It includes clinical data from CPOE and clinical decision support systems (physician’s written notes and prescriptions, medical imaging, laboratory, pharmacy, insurance, and other administrative data); patient data in electronic patient records (EPRs); machine generated/sensor data, such as from monitoring vital signs; social media posts, including Twitter feeds (so-called tweets), blogs, status updates on Facebook and other platforms, and web pages; and less patient-specific information, including emergency care data, news feeds, and articles in medical journals (Raghupathi,

Many payers are developing and deploying mobile apps that help patients manage their care, locate providers and improve their health. Via analytics, payers are able to monitor adherence to drug and treatment regimens and detect trends