Without a universal medical record system means patients often have to carry their test results or latest scan images with them as they consult different specialists. Having medical data resting on incompatible platforms may increase administrative hassles. The practice also heightens the chances of a possible data breach. After all, it’s unlikely for all institutions to have the same level of cautiousness.

A recent study showed that, with the exception of year 2015, healthcare data breach are on the rise over the past seven years. Of which, more than 70% of the incidents occurred at healthcare providers’ level. Healthcare sector has the stigma of being an easy target as it becomes more digital in recent years. The main reason being patients seldom question how their personal data is being protected.

This has given hackers ample opportunities to go after financial details like social security number and credit card credentials. Besides, healthcare data has a significant value in black market because of its non-perishable nature. One may change their credit card details after it has been stolen. Demographics and related medical information are likely to follow for long.

A group of former Intel researchers had pinpointed the present loophole in many platforms – the need to login via password and created an electronic guardian. Instead of a self-create code, the program permits login via multi-factor authentication, Meaning it verifies the identity of a person through various attributes from push notification, security code sent through text, to fingerprint or other physical features.

The machine learning powered electronic guardian is dynamic. It is able to learn and adapt with each login and interaction, providing a safer alternative. However, as the ownership of data does not necessarily falls into the hand of patients, whether the electronic guardian should render access to patient, physician, or medical institution only or all of the above, it became the next challenge which needs to be addressed.

Let’s hear from the creators of this electronic guardian and find out more of what they had achieved.

Session Focus: “How We Did It” and “How We Can Do It” (Session II)

When: Friday, December 14th 2018 (15:30-16:30)

A continuation from the previous session, as artificial intelligence in medicine; how to rejuvenate new energy into the sector as it keeps moving forward and how to replicate some of the previous success at minimal risks.

Attendees will gain the following knowledge:

Listen to the successful stories in the area of AI in medicine; what prompted innovators to venture into the sector and what are their plans as it develops.

Be informed of the possible risks which already exist or will possibly emerge and how to turn them into opportunities.

Uncover behind the scene stories from insiders who had been through the tedious process of instilling new technologies in medicine.

Benefit once again from all the first-hand information give by industrial experts.

Moderator:

Shahrokh Shahidzadeh, CEO, Acceptto Corporation, USA

Neel Master, Co-Founder, Cohort, USA

Chris Gough, Chief Solution Architect, Intel Health & Life Sciences, Intel Corporation, USA

James Paulin, CTO, Lakeland Health System, USA

You can sign up for this session here.