The digital revolution in the medical industry

Digitalization is having a huge impact on the medical industry. That means all objects and people will be connected by networks and internet all over the world( 0-1 ). It is important that we can easily access the global data field( 0-2 ). Equally important is the Big data that influences the changes of many rules ( 0-3 ). Above all, digitalization will make new connections between life, science and technology, and will produce a lot of new business opportunities. The movement of integration of digitalization will make incredible progress through healthcare. Now, we live in the digital revolution age, and it is strategic transformation in the medical industry.

From my perspective, the movement will need the new model of "open medical alliance" because it will make diverse participants research, develop and cure with the cooperation on the cutting edges of many fields. The digitalization will accelerate the alliance with various professional fields such as database, devices, imaging, artificial intelligence, sensors through the digital signals. I describe the alliance in the medical research relationship as "open source virtualization". Creation of new values in medical fields needs open source systems because there are various participants to have different professional fields, opinions and interests. Now, in this report, I will explain four subjects in the point of "a medical strategic transformation”. As a result, the process will provide you with the useful opportunity to review my business for the new medical market.

Reference.

0-1) Digital reinvention. [IBM Global Business Service. (GB03583USEN)]., Industrial Internet: Pushing the Boundaries of Minds and Machines.

0-2) Internet of Things. (http://www.ibm.com/smarterplanet/us/en/overview/article/iot_video.html)

0-3) Increasing community prosperity by improving health and wellness., [IBM (HPW03006USEN)]., Building High-level Features Using Large Scale Unsupervised Learning. (Appearing in Proceedings of the 29th International Confer- ence on Machine Learning, Edinburgh, Scotland, UK, 2012.)