Skip to main content

TIPS FROM TOP - “US Healthcare Industry” by Mr. Ashish Chandra, Associate Director, United Health Group


On Saturday, 7th October, 2017, the Industrial and Management Engineering department of IIT Kanpur had the opportunity to host a very insightful and informative seminar by Mr. Ashish Chandra on “Healthcare Systems and Analytics”.

The seminar commenced with Mr. Chandra introducing himself. An alumnus of IIT Kanpur, Mr. Chandra has worked in various top tiered Pharma and Healthcare companies, and has 12 years of experience as a decision scientist. Currently, he is the Associate Director of United Health Group, prior to which he had worked for seven and half years in Market RX.

Mr. Ashish started the seminar by talking about what is healthcare. Then he explained the various models in healthcare provision: National Health Services - Beveridge Model, Social Health Insurance - Bismarck Model, Community Based Health Insurance, Voluntary Health Insurance, and ‘Out of pocket Payments’. In each of the models he talked about the revenue sources, groups covered, pooling organizations, and care provision.

Mr. Chandra then went on to describe the US health care system which is an amalgamation of two major models - the government sponsored program, and the private sponsored program. In the USA, healthcare is a very sensitive issue due to the exorbitant medical cost. Elections are fought over this and this is one of the key constituents in political manifestos.  The concept of ‘Over investment but less effectiveness’ was discussed.

In very simple terms, the speaker talked about the various opportunities to make healthcare more affordable and effective. These include - migration from fee-for-service to new provider payment models, consolidation of healthcare stakeholders, widespread use of data and analytics in patient care, spending and utilization for specialty pharmaceuticals, Medicaid expansion due to healthcare reform, migration to value-oriented healthcare marketplace, growth and performance of accountable care organizations, role of technology in patient engagement, and increasing patient cost sharing. Mr. Chandra also talked about the plans of Google to launch a pill that will revolutionize diagnoses.

Mr. Chandra explained how the healthcare system is shifting towards precision medicine, where doctors will potentially be replaced by computers, and will make analytics and data driven decisions. Artificial intelligence, machine learning and big data will empower physicians, scientists and patients alike with the latest, most accurate clinical understanding in real time.

The seminar was very interactive and it was a great opportunity to learn about the health care industry, its current situation, and the direction in future. Mr. Chandra also advised the audience on how to prepare for future corporate life. It is imperative to keep learning and keep improving every day if we wish to make a mark in this world.


Comments

Popular posts from this blog

Consilium'08: The Consulting Conclave

MBA batch under the aegis of Department of IME is going to organize the annual consulting conclave of IIT Kanpur, Consilium’08. The objective of this event is to create a platform where confluence of leading professionals from consultancy and vast student community can take place. As consultancy has become one of the most preferred career choice for IITians , Consilium'08 will provide them the opportunity to learn about the nunaces of consultancy in various domains. From a humble start, it has been envisaged that Consilium will become the platform in coming years where representatives from across the spectrum of consultancy will share their knowledge, experience and insight with students. The event has generated enthusiasm among all sections of IITK students and students from other major B-Schools who are also expected to participate. Case solving competition is one of the attraction of Consilium '08 in which winners shall get certificates and attractive cash prizes. Apart

Seminar: Financial Risk Management: A Brief Overview

Date: 14th January, 2011 Speaker: Dr. Puneet Prakash About the speaker: Dr. Puneet Prakash is an Assistant professor at Virginia Commonwealth University since 2005. He holds a Ph.D in Risk Management and Insurance from Georgia State University, an MBA from IIFT, Delhi, PG Diploma in Development Policy (IGIDR), and M.Sc. (5-year Integrated) from IIT, Kanpur. He is also a visiting faculty to IIT Kanpur, Fall 2009. Abstract of the talk: The seminar started with a brief discussion on market and the categorization of market participants into risk averse, risk neutral and risk seeking behaviors. Dr. Prakash then proceeded to discuss the Modigliani – Miller theorem that Corporations are risk neutral and that if investors want to manage risk they could do it as an individual rather than through the company. The underlying assumption is that a company and a individual have the same capability to manage risk. As this assumption is not a universal truth, not all corporations are risk neutral. Any

TIPS FROM TOP: "ON-SITE MARKETING" by Mr. Advit Sahdev, Head of Marketing, Infibeam.com

The Department of Industrial Management and Engineering hosted Mr. Advit Sahdev, Head of Marketing in Infibeam.com, Indian E-commerce retail portal for a corporate seminar on 8 September’18 on ‘Invisible Marketing.’ The seminar mainly focused on the scope of marketing in the online world and how different experiments can help in boosting sales of a product. Mr. Advit Sahdev suggested various techniques, tried and tested in the online marketing world that bore fruits for the e-commerce companies. The main focus of this domain is, firstly, to bring the customer to the site and secondly, to convert the customer into a buyer and further into a loyal customer.  Real-time data analysis is used to attract customer to the site. Analyzing Google search and browsing history in social media sites like Facebook and Twitter is particularly helpful in assessing age, behaviour, and mood of the prospective buyer. The essence of the assessment is to categorize the customer into detai