At Infosys, our focus on Healthcare is aimed at radical progress in affordability, wellness, and patient-centricity. We believe technology is a catalyst for game-changing healthcare solutions. In this blog, we discuss challenges, ideas, innovations, and solutions for the healthcare economy.


March 9, 2018

Deep learning on cloud for the healthcare industry

When you are not feeling very well, you would go to see a doctor hoping to get urgent medical attention and you would probably be the one person who can explain the symptoms to the doctor that even your loved ones cannot do accurately. The doctors need your medical history, current symptoms, other medicine regiments that you are probably on, etc. This information the patient provides is helpful in diagnosing the condition especially for typical cases like flue, type 2 diabetes high blood pressure, etc. The doctors have nearly adequate tools like the blood test, ECG, EEG and others to help them diagnose much more complex issues. However, with all the medical images, data and history, a significant amount of complex cases get attributed to idiopathic in nature. That means, the cause of the issue is unknown and the diagnosis of the issue is not straightforward. Brain tumors for instance; the doctors would have a good amount of MRI scanned images, radiology and EEG graphs, but still, end up with a considerably lower confidence diagnosis of the issue. In some extreme cases, invasive procedures are carried out just to get more information on the condition. You cannot expect a doctor or a team of doctors to have seen the exact complex situation earlier that can give them a 100% confidence on the matter at hand.

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March 31, 2013

Applications of Big Data in Healthcare - Part 5

With the introduction of health insurance exchanges, guaranteed issue will bring 35 million (approx.) new customers into the U.S. healthcare marketplace by 2016. It is highly likely most of them will have higher than average medical costs, thereby raising premiums for everyone in the insurance pool.  The onus will be on the individual members to take the ownership of their own healthcare expenditure and support the payors in controlling the rising premium. 
We will focus in this blog how the payors can involve the members more by introducing member centric programs in the plan design and how big data will be leveraged to provide the required intelligence to the payors to achieve it.

The member wellness and preventive care program is already a key focus area for the payors.  However, these programs need to be customized for the specific needs of the members rather than being offered as a generic program. In my point of view, following could be reasons why this is not very effective yet.
• The wellness and preventive programs are generic which might not suit to the needs of the members.
• The members who need specific programs often do not find those being offered by the payors or do not get the required incentives or mandates from the payors for adequate usage.
• The patients are often not knowledgeable on the needs of the wellness program so as to take it seriously.

If we analyze the problem critically, it can very well be inferred that payors usually lack the intelligence (information perspective) which will enable them to customize the wellness program for a member. With the help of Big Data analytics, the data, already available in abundance from multiple sources, can be analyzed to get the information on the risk exposure of an individual to certain diseases (current or in future). Utilizing this information, the payors can come up with the following.
• Design the wellness and preventive programs for a member.
• Come up with the incentive or penalty structure to encourage the member to take up these programs seriously.
• Continually educate members on the diseases and on the availability of the required preventive programs.

August 25, 2011

Disease Management- DMOs way forward

Disease management is an approach to manage chronic illnesses through prevention, patient centricity, evidence based practice guidelines and outcome based with an emphasis to improving the overall health. Traditionally heart diseases, diabetes, pulmonary diseases and asthma are considered in this.

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May 22, 2009

Chronic Disease Management scene in India?

In India, a leading hsopital conceptualized the program to lead Outpatient chronic care market and to some extent, extend brand in outpatient care – By offering a comprehensive chronic care model. Here is the evolution of disease management in India:

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