Companies in 2020s are investing a significant amount of money on data-driven technologies & tools. Due to a sudden increase in data in past 5-6 years, the need to take data-driven decision is the need of the hour. In this article, we’re going to discuss the use of data science in healthcare domain.
In our previous articles, we’ve explained the use of data science in various industries. read our articles:
5 Best Uses Of Data Science In Supply Chain Management
4 Best Use Cases Of Data Science In Banking Industry
MIS Engineer To Data Analyst – 2022 Special
All the industries today are exploring the possibilities of increasing their revenue and drive growth with the help of data science technologies. One such industry is healthcare that can benefit incredibly from these tools & technologies.
Data Science in Healthcare Domain
Talking about India, most of the data in healthcare industry is raw, unstructured, or semi-structured. At local level, Indian healthcare is one of the most unmanaged systems in the world. A lot of healthcare companies have emerged in India in the past 10 years, that are revolutionizing the industry.
With the most amazing healthcare studies, India is one of the leading country on the globe that produce the best doctors. But due to the lack of opportunities, they move to more advanced countries like US and UK.
A few revolutionary hospital chains like Appolo and Narayana are creating a certain difference in the healthcare industry. The invention of Covid vaccines by Indian scientists has proved that quality that India can provide to the healthcare domain.
After Covid, it became necessary for the healthcare companies to keep track of their patients and analyze their health time to time. After 20-30% population suffered from Covid in 2020 to 2022, the companies have gathered a huge data of the patients.
Not only in India, in US too, the need of advancement in healthcare industry is becoming a big topic of discussion after the Covid.
With such data, companies are now trying to evaluate and analyze the data of their users to take preventive & data-driven decisions. To diagnose the diseases, companies are collecting their user’s medical records and trying to understand the patterns to reach at some conclusion.
Database of customers, their medical records, clicinal trials they took, their genetic information, data from wearable devices, and their billing records, there is a lot of data to manage.
Why Data Science in Healthcare?
Data Science in healthcare domain can create a significant difference for the companies. It can help in the following:
- Pre-diagnosis of diseases
- Prevention from diseases
- Personalized care for patients
- Saving operational costs
- Providing more precise prescriptions to patients
- Post-care monitoring of patients
All of this is possible with the help of data science. The companies in healthcare domain are now investing billions of dollars to manage & analyze the data. As the demand for data science tools rise, the demand for data professionals skilled enough to operate these tools is also increasing.
You’re reading the article, Use of Data Science in Healthcare Domain.
Data Science in healthcare makes it easier for the companies to understand their user in a better way. they can drive growth by predicting the health issues their users are going to face. They can prevent thousands of deaths by diagnosing the patterns of diseases in the body. They can target their users with the new services and products they are offering.
All this with the help of data science.
Comapnies like Optum, Sanofi, Dr Reddy’s, FDC, Mankind, Laborate, GSK, and many more are hiring data professionals. With handsome salary packages, data science domain is one of the most emerging domains that can assist in improving the healthcare.
If you’re willing to pursue your career as a data analyst, you can explore these industry-led training programs that can help you in moving to data domain with ease.
Python For Data Analytics Certification Program
Masters in Data Science With Power BI Certification Program
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