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Each year, the importance of data becomes more intricately tied to the progress of healthcare. Since the pandemic, there’s been an accelerated use of data. This has increased the need for healthcare leaders to be able to take decisions in real-time and predict what resources they will require for upcoming demand. Thanks to data analytics, healthcare professionals are finding their jobs becoming more streamlined and efficient while patients enjoy the benefits of improved outcomes. Although data analytics brings a lot to the table, healthcare organizations need to make sure that their data is used in a pro-active model to deliver an efficient manner of care or service. In regard, it is a fact that adoption of advanced data analytics in healthcare can be organized into three main buckets including improve patient care, reduce burnout of healthcare players, and efficient IT infrastructure. Let’s dive deeper.
Improving Quality of Care
During the ongoing COVID-19 pandemic, healthcare organizations have realized how important it is to have to real-time readable data but then, you have to have the infrastructure. Then comes the electronic health records (EHR) helps in collecting patient details to enable health care practitioners touch the milestone in providing quality care. Along with the seismic shift away from volume care to value-based care, the implementation of advanced data analytics provides new methods to evaluate the performance and effectiveness of health care practitioners at the point of delivery. With ongoing performance evaluations, along with health data related to patient wellness, data analytics can be utilized to provide ongoing feedback on health care practitioners.
“Data analytics is one such technology that boosts the innovations that are further helping the healthcare industry get better and provide optimum service to the patients”
However, it is challenging to have all the specs along with wide range of resources in today’s advanced technological world. But fundamentally, at the end, it starts with valuable data, and valuable data infrastructure. For instance, in hospitals, lab tests are identified differently in many other hospitals which creates a mismatch in diagnostic and procedural codes. This puts the hospital in a dilemma situation: How we identify them, how we document and so on. But also, the potential we get from valuable data simplifies by helping health care practitioners to put those valuable data right in use. To simplify, if you have good data, you can act quickly and correctly to help take care of things. And if you don't have good data, it's hard to improve healthcare operations, clinical care, and deliver mission as a healthcare organization.
Reduces Burnout for Healthcare Players
It has become almost cliché by now to note how COVID-19 has accelerated digital transformation in healthcare, with the number of virtual cares roughly doubling since the start of the pandemic. Although this shift cast the spotlight on healthcare players stress and burnout. With advanced data analytics it is possible to understand the necessities of delivering quality care in an efficient manner. The great example for this is Centers for Medicare and Medicaid Services (CMS), allowed reimbursement for telehealth in a manner that they had by no means had performed earlier than before. They have waived additional regulatory requirements and permit the telehealth to be snug to everyday care. Further, expanded the telehealth in Medicare. With a prescribing ratio, this model was no longer feasible before because therapies were not covered, as initial visit in person was a major barrier. Today, that’s all those things were waived, that allows telehealth to really expand in a major way. With such expand of telehealth, has simplified the work of healthcare providers which in turn reduced their stress and focus on to improve the table of patients care.
Enhancing Overall IT Infrastructure.
The Healthcare industry has set the benchmark for adopting innovation in its multiple domains. Data analytics is one such technology that boosts the innovations that are further helping the healthcare industry get better and provide optimum service to the patients. With advanced data analytics used as a part of their business intelligence strategies can help to examine historical patient admission rates and to analyze staff efficiency. Healthcare organizations can also cut down on healthcare cost and provide better care with the help of predictive analytics. It also helps in reducing medication errors by improving financial and administrative performance and reduce readmissions. However, key items to note are to give healthcare professional the resources to access the data to allow them to make data-driven decisions independently and to make sure that the data they obtain is as close as possible in real-time. Advanced data analytics are enormously effective. It just needs people with the experience of how to use it behind the control wheel.
Advice to Healthcare Leaders
We have to really think about technology, not in a vacuum, but really think about technology in the combination of processes, policies, and operation, and people. And if we can put technology in the context of patient-centric or value-based care, it is possible that we can maximise the technology for the greatest benefit. And oftentimes, it's our processes and policies, and our adoption to technology that can be limiting, even when there's good technology available. At the same time, I think we also have to make sure that we always continue to improve our technology because part of the issue is that the healthcare technology is still lagging in general technology expectations. Like, the level of Google and Amazon is working really well. It is our responsibility to get to that level with healthcare technology as well.
Advancements in Big Data processing tools, data mining and data organization are causing market research firms to predict huge gains in the predictive analytics market for healthcare. Moreover, those actually working with data in healthcare organizations are beginning to see how the advent of the technology is fuelling the future of patient care. By leveraging Big Data and scientific advancements while maintaining the important doctor-patient bond, we believe we can create a health system that will go beyond curing disease after the fact to preventing disease before it strikes by focusing on health and wellness,” writes Lloyd B. Minor, MD, dean of the Stanford School of Medicine, in a new report exploring the Big Data revolution, Health ITAnalytics reports. While there are still several roadblocks to using analytics effectively to drive care, here are three ways that Big Data use can realistically revolutionize the health field: