What is big data in health care? The answer is: Everything! Big data refers to the massive amounts of data produced by the massive adoption of the Internet and the digitization of all types of personal data, from health records to social security numbers. By the development of sophisticated software tools and algorithms, large amounts of data can be processed and made accessible in a timely fashion for analysis. The resulting information provides answers to many medical mysteries-from disease prevention to cardiovascular research-and may even point the way to new treatments and improved medications.
One of the advantages of big data-in particular the ability to capture, analyze and interpret large amounts of health-related data-is that it creates enormous opportunities for collaboration between health care organizations and their respective patients. In essence, big data is about enabling patients and doctors to work more closely together, with both parties gaining valuable insights from the collective effort. This is especially important in areas such as electronic health record (EHR) systems and patient portals. The increased collaboration may lead to improved care, increased profitability, and a better customer experience.
Efficient EHR integration with healthcare platforms such as Electronic Health Record and Patient Ledger Software (EHRP) allows hospitals and doctors to generate reports, conduct patient interviews, and link appointments using their patient’s physician ID. The resulting information may allow for improved patient access, personalized treatment, and decreased paperwork. Patients and doctors may be able to see at a glance when their appointments are open and when they are recorded. They may also be able to schedule appointments with a click of the mouse, eliminating the need for patients to remember when they have a doctor’s appointment or request for medication. Further, EHR analytics may be able to indicate gaps in care that may arise through the implementation of preventative measures and better tracking of medication interactions.
As health care providers implement greater reliance on EHR data initiatives, it is likely that precision medicine will become more relevant in the workforce. Precision medicine aims to take into account a patient’s individualized needs, which in turn requires the use of optimal clinical supplies. In some cases, clinical supplies such as lasers may be required for a procedure. By using high-end wearable, doctors can ensure that these tools are worn according to the patient’s specifications, ensuring the best possible outcomes. Additionally, these devices can measure the distance that a laser beam has traveled, which improves the equipment’s accuracy.
Perhaps no topic is more fundamental to healthcare operations than quality of care. A key strategy that hospitals and physicians employ is assessing the quality of care provided to patients. Like any other business, healthcare businesses are driven by revenue. Profit margins for specific procedures may not necessarily reflect the value of a patient’s experience. Healthcare researchers and data scientists are leveraging large databases and the power of computers to detect quality issues before they adversely affect patients.
Medical institutions are making great strides in their ability to facilitate patient care with what is called medical device telemedicine, or medical Telecare. Medical Device Telemedicine allows hospitals and physicians to connect various different types of electronic medical record systems and clinical data systems via wireless headsets. This facilitates easy access to patient information and medical history, which improve on-site patient care, minimizes billing errors and can even help healthcare costs.
Even in smaller, more personal healthcare facilities, big data analytics and data-driven technologies are transforming how medical professionals to communicate with patients. Electronic medical records (emr) allow doctors to create a paperless version of their office notes, which streamlines communications between staff and patients. The use of digital patient records also eliminates the need for duplicate copies. It also reduces insurance claims and administrative burdens by eliminating redundant patient visits and tests.
As this transformation takes place, healthcare workers will be best served by utilizing what is called big data analytics to drive greater efficiency. Analytics will allow hospitals and doctors to monitor patient care, workflow, billing, and even prescribing and analyzing medication through a web-based interface. Although there is still much to be done to drive efficiencies, these new tools and techniques will undoubtedly speed the delivery of healthcare services. As patient safety becomes a priority in and of itself, healthcare workers may find themselves better able to serve their patients and reduce the potential for opioid abuse and negligence.