Data Science in Healthcare: Quoting Winston Churchill, the Former Prime Minister of the United Kingdom, “Healthy citizens are the greatest asset any country can have.” Healthcare is an important domain when it comes to building a strong society framework. Data science, being an advanced application of tech, has an important role to play in healthcare. 

The role of data science in healthcare is extensive starting from scanning and microscopy to hospital administration and management. With this article, let us get into each of the functions in detail, that will help you understand better the significance of data science in medicine and healthcare.

Applications of Data Science in Healthcare Sector

Scanning

All of you might be very well aware and must have even gone through different kinds of scanning. For instance, for a broken limb or something more severe such as a head injury. Medical imaging techniques like XRay, CT and MRI scans help configure the internal body parts and their ailments better. Moreover, Data Science highly influence these scanning techniques.

  • Image processing technologies and image recognition techniques also have a big role to play in the healthcare field.
  • Identification of even minute deformities is now possible in scans. Thanks to the application of data science and deep learning techniques.
  • Artificial intelligence also plays key when it comes to medical imaging and particularly, the department of radiology in healthcare. 
  • Big data analysts and their data analytics technologies also highly influence data for medical imaging.

Drug Discovery

Medication is important in treatment of illnesses. Data science has a significant role in drug discovery. The pharmaceutical industry is influenced by artificial intelligence and data science  for not just drug discovery, but repurposing of drugs, managing clinical trials of drugs and improving the overall productivity of the pharmaceutical industry.

  • Artificial intelligence influences drug design by optimizing its structure and identification of target compounds.
  • AI also helps determine the interactions between the drug and protein, helping determine drug activity.
  • Prediction of toxicity and bioactivity of drugs is also possible with the introduction of data science in the field.
  • The application of data science in the pharmaceutical industry is unlimited, like helping in prediction of novel therapeutic uses of drugs.

You can even read about: The Contribution of AI and ML in Tackling COVID

Health Monitoring

Keeping a track of a patient’s health is important to accurately make a diagnosis and follow it up with treatment. Health monitoring has become more advanced with data science. There are even tools with monitoring sensors like wearable bands that can help keep track of a patient’s health inside his house. Using real-time analytics, monitoring of illness has become swifter and most efficient.

  • Using big data analytics, future prediction of health problems is now possible.
  • Respiratory diseases and cardiac related monitoring can be done using applications of machine learning algorithms.
  • Incorporation and application of preventive medicine technology is now possible.  The introduction of data science in healthcare monitoring plays key for it.
  • Efficient execution and customization of wellness programs based on individual patient reports is also possible.

Virtual Assistance

Virtual assistance is the new method of providing services in the tech field. Having a virtual assistant especially in the healthcare segment enables people to clarify their doubts regarding symptoms and illnesses. Based on the symptoms, predictive diagnosis and further reference to detailed treatment can be received. 

  • Data scientist roles play significant roles here, with the development of such virtual assistant platforms. 
  • They do so by researching predictive modeling of diseases with bulk data sets.
  • Virtual assistants help in the discharge of patients and in following up with their treatments.
  • They also help access and keep health records for easy monitoring.

You can even read about: 8 Hidden Data Science Job Roles: the Secret of Successful Career Transition in 2021

Genomics

Data science in healthcare also has a relevant role to play when coming to genomics in molecular biology. The inheritance, function and structure of the genetic material are better analyzed on research with the application of data science. Also, the information hidden in the DNA sequences are better understood by researcher’s with the help of data science. 

  • Computational methods helps foresee, analyze and predict behavior of available genome data.
  • Experimentation at the molecular genetic level can be better executed by data analysis and genome study.
  • There is a separate domain called genomic data science that addresses the concerns and amplifies the scope of research at the molecular level.
  • This field is an extension of the application of data science and statistics to understand the functioning of the genome.

In addition to all the applications mentioned above of data science in healthcare, there are others that also deserve the limelight. This includes: 

  • Using machine learning algorithms for effective diagnostics.
  • Assistance to physicians in taking informed decisions.
  • Opening data science job roles such as healthcare data scientists.
  • Advancements in pharmaceutical research with data science.
  • Machine learning and data science to optimize performance of clinics.
  • Predictive analysis of diseases and chronic disease management.

As you can see, the role of data science in healthcare is vast  and not just limited to those mentioned here. 

Why Data Science?

We live in a world where the principle of a canvas is a must for you to draw picture rules. Meaning, our body is the canvas and the picture is what we make out of life. So, healthcare is an important domain and data science being an advanced concept is undoubtedly revolutionizing it.

Given this scenario, skilling up in data science is one important decision you can make. Why? Because job prospects in the field are more and more relevant. Besides, you get to play key and responsible roles, be it in any industry. Speaking of data science job roles in healthcare, a healthcare data scientist is prominent and highly sought after. 

To get into an advanced and promising career of that sort, you can get the right data science training. E-learning platforms like Skillslash offers some of the best data science courses with certification that you can refer to.

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