Deteriorating Patient Condition: Let Predictive Analytics Do its Magic

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In the last 4-5 years, we have seen a resurgent rise of medical facilities building around data analytics and novel patient monitoring systems that use predictive analytics algorithm. Medical technology companies are hiring professionals from top data analytics course certification programs to amplify their medical services.

What does a patient need when he/ she is facing a severe condition and there is no one around to report the condition to the healthcare authorities?

So, how does the data analytics course help medical practitioners serve patients better?

In this article, I have pointed out the top applications that converge at AI, ML, Data Science, Big Data analytics and Computing.

Let’s begin.

Predicting ICU Quotient

On average, a hospital might have 60% lesser capacity to enroll a patient into its ICU ward due to numerous reasons. With the onslaught of COVID-19 related conditions, this ICU Quotient for each hospital has further deteriorated. Yet, many hospitals are not losing hope, especially those that are well built infrastructure with data analytics at its core. Such hospitals are outperforming the others by leveraging the power of predictive analytics algorithms and identifying patients that are in grave need of life-saving interventions.

The predictive analytics algorithm uses Big Data and Data Analytics model to analyze tons of data related to patient’s history, current vital signs and lab results to flag essential life saving steps and admit to an ICU that is closest to the patient. These could be further amplified with the telemetry applications to warn ambulances and medical officers about an incoming patient who needs immediate attention.

Contactless Radiology Tools

Biomedical hazard is a serious risk facing the healthcare officials. That’s why we are emphasizing on the need to develop, deliver and deployment of contact less radiology tools that can completely replace the need to physically test and analyze tissue samples using biopsy. Next-gen radiology tools are using AI and Data Analytics course applications to accurately analyze and predict the condition of tissue without enforcing the need to physically analyze them. It saves the life of both, the patient as well as the radiologist.

Improving the Potency of Antibiotics

We have seen and heard so much about the misuse and abuse of antibiotics, leading to perpetual issue of ineffectiveness in the long run. Data Analytics course professionals are working tirelessly to understand how antibiotics resistance really works and how Big Data could be used to screen billions of electronic healthcare data points and highlight the kind of risks a patient might face and suffer. In precarious times of COVID-19 saving the lives of patients with antibiotics is the number one priority of all healthcare officials.

In these uncertain times when the healthcare facilities are under serious stress due to the COVID-19 patient load, it’s extremely challenging to meet and advise the non-COVID patients, especially those that are developing mild symptoms but still carry the risk of their conditions turning into serious issues. Using Big data analytics can solve any kind of problems.

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