A nurse holds a tablet from which 3D healthcare icons emerge, including a human body, a DNA strand, and pills.

5 Healthcare technology trends to watch in 2018


A rise in healthcare costs, chronic disease, and physician shortages is creating a healthcare crisis. Many healthcare IT companies are proposing innovative solutions to help create a value-based care system and improved health outcomes. The 5 healthcare IT trends to watch for in 2018 are:

  1. Integrating rules-based systems with voice technology
  2. Granting more credence to AI
  3. Medical devices increasingly relying on cellular connectivity
  4. Increased telemedicine usage for remote patient triage
  5. Pioneering of robotic surgery
Integrating rules-based systems with voice technology

Healthcare technology companies may begin to augment rules-based engines with voice recognition and analysis to create a more user-friendly patient experience. Healthtap’s Doctor AI, for instance, was built as a skill app on Amazon’s Alexa. When a user asks Alexa what a possible symptom(s) may likely indicate, Healthtap’s technology analyzes data from the user’s medical records to consider probably causes, and then relays the information to the user in a conversational way. The app can also help users schedule an in-person office visit with the right specialist. Rules-based systems with voice technology is especially advantageous for the elderly, the disabled, and the frail. Because the user interface is voice-activated, people who can not easily use their hands or eyes can still gain the same access to healthcare as everyone else.

Granting more credence to AI

2018 may see the healthcare industry relying more on AI to make suggestions and tailor feedback based on learning. Today, deep learning applications are still unable to explain how and why they arrived at the results they did. The absence of this explanatory capacity understandably gives rise to caution. GE Healthcare recently partnered with Roche Diagnostics to create data-driven software that combines patients’ in-vivo and in-vitro diagnostics. The aim of the project is to enable clinicians to access a comprehensive portfolio of patient information to make earlier, faster diagnoses and develop individualized treatment. The AI incorporated into the software has the potential to provide insights from multiple datasets, something that physicians would not be able to do on their own.

Read the entire article here. Waqaas’ article is available on Flarrio. Flarrio is a source for research and insights on emerging tech, powered by thought leaders from some of the world’s top universities and technology organizations.