Healthcare is constantly changing and evolving. Can you predict or comment on the latest healthcare trend?
Changing the Future of Healthcare with Collaboration
All of us have hobbies and some have passions. And then there are causes, which many of us are passionate about. I have a special place in my heart for making a difference in anything to do with healthcare.
The Promise of Technology-driven Healthcare
There is no doubt that technological advancements are transforming the entire healthcare industry. The proliferation of new collaboration technologies is helping to address issues such as:
♦ Aging population health management
♦ Delivering cost-effective care
♦ Patient data safety
♦ Driving operational effectiveness
“Delivering education opportunities where learners reside is helping to retain doctors in rural areas.” – Anthony Knezevic, UBC Faculty of Medicine.
Collaboration Technology Is the Answer
The latest predictions on healthcare issues and trends point to issues including:
♦ Patient Experience and Safety
♦ Operational Efficiencies
♦ Data Breaches
♦ Healthcare reform
Are you facing similar challenges in delivering seamless and high-quality patient care? Reducing the number of medical errors? Saving costs?
Many healthcare institutions are battling with these scenarios. And many are on the path to conquering them. Let us see how.
The right video, voice and content collaboration solutions can meet both clinical and nonclinical needs. These solutions give patients, doctors, and hospitals better ways to communicate. They can educate, share information, and interact in real-time and in a more personal and cost-effective manner
Predictive analytics can improve healthcare
Medical predictive analytics have the potential to revolutionize healthcare around the world
Everyone is a patient at some time or another, and we all want good medical care. We assume that doctors are all medical experts and that there is good research behind .all their decisions
But that can’t always be the case.
Physicians are smart, well trained and do their best to stay up to date with the latest research. But they can’t possibly commit to memory all the knowledge they need for every situation, and they probably don’t have it all at their fingertips. Even if they did have access to the massive amounts of data needed to compare treatment outcomes for all the diseases they encounter, they would still need time and expertise to analyze that information and integrate it with the patient’s own medical profile. But this kind of in-depth research and statistical analysis is beyond the scope of a physician’s work.
That’s why more and more physicians – as well as insurance companies – are using predictive analytics.
Predictive analytics (PA) uses technology and statistical methods to search through massive amounts of information, analyzing it to predict outcomes for individual patients. That information can include data from past treatment outcomes as well as the latest medical research published in peer-reviewed journals and databases.
Not only can PA help with predictions, but it can also reveal surprising associations in data that our human brains would never suspect.
In medicine, predictions can range from responses to medications to hospital readmission rates. Examples are predicting infections from methods of suturing, determining the likelihood of disease, helping a physician with a diagnosis, and even predicting future wellness.
The three ways were Predictive analytics can improve healthcare
1) Predictive analytics increase the accuracy of diagnoses.
Physicians can use predictive algorithms to help them make more accurate diagnoses. For example, when patients come to the ER with chest pain, it is often difficult to know whether the patient should be hospitalized. If the doctors were able to answers questions about the patient and his condition into a system with a tested and accurate predictive algorithm that would assess the likelihood that the patient could be sent home safely, then their own clinical judgments would be aided. The prediction would not replace their judgments but rather would assist.
2) Predictive analytics provides physicians with answers they are seeking for individual patients.
Evidence-based medicine (EBM) is a step in the right direction and provides more help than simple hunches for physicians. However, what works best for the middle of a normal distribution of people may not work best for an individual patient seeking treatment. PA can help doctors decide the exact treatments for those individuals. It is wasteful and potentially dangerous to give treatments that are not needed or that won’t work specifically for an individual.
3) Patients have the potential benefit of better outcomes due to predictive analytics.
There will be many benefits in quality of life to patients as the use of predictive analytics increase. Potentially individuals will receive treatments that will work for them, be prescribed medications that work for them and not be given unnecessary medications just because that medication works for the majority of people. The patient role will change as patients become more informed consumers who work with their physicians collaboratively to achieve better outcomes. Patients will become aware of possible personal health risks sooner due to alerts from their genome analysis, from predictive models relayed by their physicians, from the increasing use of apps and medical devices (i.e., wearable devices and monitoring systems), and due to better accuracy of what information is needed for accurate predictions. They then will have decisions to make about lifestyles and their future well being.
End of the line:
Changes are coming in medicine worldwide.
predictive analytics is the next big idea in medicine –the next evolution in statistics – and roles will change as a result
All in all, changes are coming. The genie is out of the box and, in fact, is building boxes for the rest of us. Smart industries will anticipate and prepare.
These changes that can literally revolutionize the way medicine is practiced for better health and disease reduction.
March 30, 2018