Health Data Science Lab India

05/01/2022

25/12/2021

Data science requires very sophisticated and specialized skills combining passionate attachment to computers, math, and analytical ability on the part of those who are in the craft. The absence of an adequate number of people with these traits perpetuates the demand-supply gap.

The world has reached a stage when every conceivable organization is becoming data-driven.
https://www.analyticsinsight.net/the-future-is-in-data-science-careers/

Know about the top data science careers available in the market such as data scientists, data analyst, data architect and many more in this article.

20/12/2021

2020 and 2021 saw the mainstreaming of telehealth and the rise of remote patient monitoring. These changes to the healthcare landscape were helped partly by requirements of the COVID-19 pandemic and partly by the subsequent loosening of telemedicine reimbursement and licensure regulations by the government.

But what's to happen in 2022? Will the government and commercial payers continue to reimburse for telemedicine? Will new virtual-care legislation pass? Will there be technological advances that push the care paradigm further forward? And what of the future of remote patient monitoring?

A physician expert in virtual care talks technological advances, reimbursement legislation and the continued evolution of remote patient monitoring.

10/11/2021

The future of AI technologies in the healthcare sector in India seems bright, as there is a strong need for volume, scale, and accuracy, along with low costs. However, in many situations, patients and families still want the human doctor in the loop - to explain, to connect case histories with symptoms, and to make difficult decisions.


https://health.economictimes.indiatimes.com/news/industry/human-in-the-loop-for-ai-in-healthcare/87585233

The future of AI technologies in the healthcare sector in India seems bright, as there is a strong need for volume, scale, and accuracy, along with lo..

28/06/2021

https://www.covid-datascience.com/blog/categories/data-sets

Discussion of various data sets available for modeling Covid-19

22/02/2021

Social determinants of health can make a big difference in health outcomes. A physician expert in NLP highlights how AI technology can unearth gold in EHRs.
Kirti Sundar Sahu
https://www.healthcareitnews.com/news/using-natural-language-processing-unlock-sdoh-unstructured-ehr-data

Social determinants of health can make a big difference in health outcomes. A physician expert in NLP highlights how the AI technology can unearth gold in EHRs.

21/02/2021

Even though India is an agricultural economy, it still imports many inputs, the Prime Minister said. PM stressed on becoming self-reliant in this area. There are many agricultural products that can be not only produced for the country but also supplied to the rest of the world. For this, he insisted, it is necessary that all States make an agro-climatic regional planning strategy.

The Prime Minister also urged to focus on the storage and processing of agricultural products to reduce wastage. Reforms are very important for farmers to get the necessary economic resources, better infrastructure and modern technology.

21/02/2021

The Prime Minister said geospatial data of India was liberalized recently, which would incentivize entrepreneurial endeavour, start-up innovation and the tech sector in general. The focus must be on ease-of-doing-business for the international audience and on ease-of-living for our own people.

11/01/2021

People who are planning to switch their career towards data science can learn via various podcasts or via various youtube channels or data science wiki or data science pdf. But to switch faster and to have a better real-time learning experience it's better and suggested to go under a mentor who is with real-time experience so he can fine-tune your learning and he can make you focus on what is important? what to prepare? how to crack a job? How to build a resume?

11/01/2021

11/01/2021

Big data in healthcare is a term used to describe massive volumes of information created by the adoption of digital technologies that collect patients' records and help in managing hospital performance, otherwise too large and complex for traditional technologies.

The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes. In essence, big-style data refers to the vast quantities of information created by the digitization of everything, that gets consolidated and analyzed by specific technologies. Applied to healthcare, it will use specific health data of a population (or of a particular individual) and potentially help to prevent epidemics, cure disease, cut down costs, etc.

https://www.datapine.com/blog/big-data-examples-in-healthcare/

Big data in healthcare saves lives, but also money and time. See here our 18 examples of big data analytics in healthcare making an impact.

03/01/2021

For a few moments in late April of 2020, oil – normally the lifeblood of the world economy – became more expensive to store than to pay someone to take it away.

31/12/2020

Happy new year from the Health data science lab India to all of you. Stay safe stay blessed.

31/12/2020

The COVID-19 pandemic caused entrepreneurs all over the world to scramble. How is startup entrepreneurship going to change once this pandemic is over?

28/12/2020

Ernst & Young (EY), a global professional services organization, has announced that it would be hiring 9,000 professionals in India next year, who come from a STEM background and are skilled in artificial intelligence, machine learning, cybersecurity, analytics and other emerging technologies.

https://analyticsindiamag.com/ey-to-hire-9000-ai-ml-skilled-professionals-in-india-in-2021/

EY has announced that it would be hiring 9,000 professionals in India next year, from a STEM background and are skilled in AI and ML.

28/12/2020

Now is the right time for a data-driven healthcare industry and many players are participating in this change, including large biotech and pharmaceutical companies, payers and providers, hospitals, university research centers, and venture-backed startups. Data science can save lives by predicting the probability that patients will suffer from certain diseases, providing AI-powered medical advice in rural and remote areas in underserved communities, customizing therapies for different patient profiles, and finding cures to cancer, AIDS, Ebola, and other terminal diseases.

Now is the right time for the data-driven healthcare industry and many players are participating in this change, including large biotech and pharmaceutical companies, payers and providers, hospitals, university research centers, and venture-backed startups. Data science can save lives by predicting the probability that patients will suffer from certain diseases, providing AI-powered medical advice in rural and remote areas in underserved communities, customizing therapies for different patient profiles, and finding cures to cancer, AIDS, Ebola, and other terminal diseases.

https://www.springboard.com/blog/data-science-in-healthcare/ #:~:text=One%20of%20the%20most%20effective,%2C%20organ%20anomalies%2C%20and%20more.

With data science in healthcare being used in new and innovative ways, the need for more trained data experts is growing quickly.

27/12/2020