The healthcare industry is playing a crucial role in fighting COVID-19 Pandemic. This unprecedented crisis has accelerated the implementation of many technological solutions in healthcare that had been long struggling to prove their value. Only those countries that have readily adopted these technological advancements in healthcare are the countries that are doing well in the current pandemic situation. One such technology that has helped the healthcare industry is data science.
So, how crucial is the role of data science in the healthcare revolution? Here is how data science is shaping the future of the healthcare industry.
Accelerating drug discovery
The process of drug discovery takes years and costs billions before it gets approved. The drug needs to pass through millions of testing procedures over the years until it gets approved. But in most cases, even after investing so much time, money, and effort, the drug may get rejected. But this process can be shortened and made more efficient with the help of data science. Data science and Machine learning algorithms can successfully predict the response and reaction of a certain drug to the body and help the scientists to improve it. Thus, data science in the healthcare sector has proven to be of great help in finding a vaccine for the COVID-19 pandemic.
Improving diagnostic accuracy and efficiency
Despite having huge amounts of health data at hand, the healthcare industry still suffers from high diagnostic failure rates. Each year, millions of patients are misdiagnosed and are given the wrong treatment. This is where data science comes in. With the help of a deep learning algorithm that can read imaging data such as x-rays, CT scans, etc, data scientists analyze and check the results against an extensive database of clinical reports and studies to deliver more accurate results faster. This is how data science in healthcare helps improve diagnostic accuracy and efficiency.
Optimizing hospital performance
This is another major role of data science in the healthcare industry. Data science combined with predictive analytics is a valuable tool that can help optimize the way in which the hospital or a clinic operates. It can optimize hospital staff scheduling, manage supplies, accounting, and can even build efficient action plans for pandemic outbreaks. Thus, data science helps hospitals make better sense of their data and improves business performance.
There can be no better example to explain the role of data science in the healthcare industry than virtual assistance. Data scientists have built digital platforms for patients that give them a personalized experience. These are basically medical applications that identify the patient’s disease by analyzing the data that the patient enters on the application. Based on the symptoms and data, the application will predict the disease, condition of the patient, suggest medication, treatment, and precautions required as per the condition of the patient.
The healthcare industry is swimming in data and data is the new oil. However, in reality, whatever data you have in your hand, it is worth very little if you don’t have highly skilled professionals like data scientists who can derive actionable insights from it. This is why the role of data science in the healthcare industry is crucial. With the world going more digital day by day, the world is in need of data scientists who can study and gain useful information from the trillions of gigabytes of data that are produced each day. This way they could not only help the healthcare industry but also all the other sectors in helping them serve the people better. As a premier business school in India, Praxis offers a 9-month full-time postgraduate program in Data Science. With our vast experience in business education, we offer students both the time to understand the complex theory and practice of data science concepts and the guidance from knowledgeable faculty who are available on campus for mentoring. We also have a well-structured campus placement program that ensures interview opportunities with the most significant companies in the field.