Wednesday, February 24, 2016

Three trends to be on the lookout for at HIMSS 16


In just a few days, HIMSS will be underway. As always, this conference is the perfect time to scope out new approaches to the biggest IT challenges in healthcare. I?m particularly excited to see the latest in health startups and where the big investments are going. There are three trends I?ll be on the lookout for at HIMSS16.

1) Leveraging IOT & mobile to boost patient engagement

Healthcare organizations are experiencing increasing economic pressure to drive better quality outcomes. In the face of consumer dependence on digital tech, expect to see more connected medical and consumer health devices being leveraged to drive greater patient engagement and significant improvements in chronic conditions.

2) Cognitive Computing becoming more tangible

The rise of machine learning by IBM Watson has set off waves of cognitive computing technology entrants, each aimed at solving different problems in healthcare. From creating better care protocols, to predicting which patients will have a readmission, machine learning is being applied to improve care and health outcomes in explicitly tangible ways.

3) New approaches to population health management in addressing chronic conditions

With nearly 86% of all healthcare spending going towards the treatment of chronic conditions, innovative processes and technology combinations to augment population health management personnel are imperative. New approaches will not only make them more effective at the point of care, but will extend their ability to affect patients outside the clinic.

We are tackling these three areas at CognitiveScale. If you're interested in learning more about how we?re working with healthcare providers, health plans, and patients, come visit us at booth #12208, Level 1.



CognitiveScale & Intermountain Healthcare Apply Cognitive Computing to Address Growing Need for Improved Self-Management of Type 1 Diabetes

Cognitive Scale today announced an initiative with Intermountain Healthcare that will apply the power of cognitive computing to enable adolescents with type 1 diabetes (T1D) to successfully transition to adulthood with strong self-care habits to manage their condition.

Tags for this resource
Share this page