What’s the potential for real-time analytics in healthcare?
Back in the days of yore, there was no plausible alternate reality where the large amount of data churned out by the healthcare industry could be collected and analysed in real-time. With the advent of real-time analytics in healthcare, we see technology pushing the envelope on what we can truly achieve in this sphere.
The end goal in healthcare is to save lives, shorten hospital stays and build healthier communities around preventative care. How can real-time analytics help achieve these goals?
Centralising information to make real-time decisions
Healthcare information is disconnected and not readily accessible in a centralised, informed manner, greatly limiting the industry’s efforts to improve quality and efficiency. Real-time analytics in healthcare addresses these issues head-on by bringing disparate and siloed data from many sources into one place.
The information gained from analysing massive amounts of aggregated health data can provide actionable insight to improve operational quality and efficiency for providers and insurers alike. This increased efficiency is necessary for the healthcare industry that is rapidly transitioning from volume-based to value-based healthcare. Now more than ever, it is critical that clinicians and providers identify and address gaps in care, quality, risk, and utilisation to support improvements in clinical outcomes and financial performance.
Revolutionary real-time analytics in healthcare
In the age of prime technological advancement, we see a host of new gadgets that are revolutionising our healthcare experience. With virtual visits, real-time patient scheduling and AI that serves as the first point of care, we see convenience and efficiency take over systems that were mostly linked to being slow and ineffective.
Wearable devices, like necklaces and bracelets, are no longer purely for aesthetics, they also double as your lifesaver. These devices are useful tools in preventive care for patients because they measure vital signs to diagnose conditions like hypertension and asthma. This is only the surface of what real-time analytics in healthcare are capable of and publicly available to the masses. The research and development side of the healthcare system is testing out products that could change the very way we view healthcare.
Patient-doctor synergy achieved
Real-time analytics in healthcare has the potential to greatly impact the patient-doctor synergy. Smart devices encourage patients to be more involved in their own treatment process, empowering them to take their health into their own hands.
Through remote health monitoring, patients will have real-time visibility into their vital signs, such as blood pressure and heart rate. Not only will this information give patients insight into how their habits contribute to their health and motivate them to follow the treatment, it also allows nurses or medical officers to receive alerts should a patient’s condition change or reminders need to be scheduled.
With real-time analytics, hospitals can have a 360-degree view of the patient. Using this data, the healthcare industry can deliver proactive care, improving health outcomes, reducing hospital readmissions and improving all-round efficiency.
Real-time analytics in healthcare allows clinicians to go deeper and broader in medical services. But most clinicians are hampered in their inability to access and analyse said data. Access to patient history data is often difficult to come by, and even if the data comes through, analysing and incorporating it meaningfully into diagnosis is a challenge. However, real-time analytics in healthcare can resolve this problem.
Real-time analytics can combine insight from historical information with current data, making it easier to conduct a deeper and more comprehensive treatment than before. Naturally, both medical providers and patients benefit from the use of data analytics.
Healthcare thrives on real-time information and as the industry is further empowered by technology, a growing number of healthcare management systems are leveraging real-time analytics to give healthcare providers every single advantage possible. Superior analytics platforms enable predictive analytics of data in motion, allowing healthcare providers to capture and analyse data – all the time, just in time.
Among the benefits of big data in healthcare is the possibility to improve the quality of medical services, track financial performance and detect fraud while freeing doctors from routine work. The newfound freedom gives doctors more time to do what they have to do – help people maintain their health and anticipate unforeseen health issues in time.
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