Digital Transformation Project: Dutch Healthcare sector

Healthcare is one of the prime sectors in any economy and is one of the most important drivers behind expanding economic opportunity. The growth of this sector is significant over the years which has contributed to the life expectancy improving globally. The life expectancy in Netherlands rose from 77 in 1990 to 81 in 2013 (WHO, 2013). There is significant improvement in the efficiency of the healthcare services and one of the main reasons behind that is information technology. It has helped in rendering healthcare services more quickly with lesser effort and man power.

Improvement in life expectancy has led to higher healthcare expenditure as people in their old age require more medical help. To reduce healthcare costs we are offering an innovative IT structure for the Dutch healthcare system. Our offering focuses on the restructuring of the Dutch Healthcare databases to one centralized database. Along with the centralized database we are also introducing an application, where the users can upload data rendered from their wearable devices. The data from the app and the data from the centralized database is then processed by our Business Intelligence unit. We have chosen IBM Watson health as our BI Unit as it has already been proven to be effective in assisting medical staff.

The inclusion of a centralized database and a Business Intelligence unit will give more relevant information to the medical staff who would be able to make more informed decisions. This in the long run will greatly reduce healthcare costs with prevention of diseases and early detection of chronic diseases like Cancer.

In our offering we have laid great stress on privacy concerns and provided reasonable solutions for implementing such an IT structure as earlier too there was an attempt by the Dutch government to have a centralized database for healthcare but it couldn’t work out because of privacy concerns.

If implemented, the new technology would be a definite boon, providing both economic and social benefits. It will reduce overall healthcare costs, help medical staff by providing more relevant information for diagnosis and most importantly help the users by early detection and prevention of diseases.

Team 25

437457aj        Amogh Jain

437682et       Ewa Tulodziecka

429370gk      Gaurav Kumar

367347hl       Hanzi Li

441728zh       Zsofia Hajnik


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