Free Your Clinical Engineering Team to Lead the Effort
Which Emerging Technologies Should You
Deploy to Reshape the Patient Experience?
Healthcare tends to lag behind other markets in terms of defending against cyberattacks. Which technologies should you deploy? Multi-factor authentication? Digital certificates? What about when you start exploring Internet-of-Things-connected devices?
Wearable devices are being used to track physical activity, vital signs, prescription consumption and other important metrics. Where is the technology headed next? Where should you be investing?
Whether it’s moving patients, assisting with surgery or enabling remote examinations, robots will be game-changers. They will even help with many new treatments that are in exploratory stages now.
The amount of environmental, hereditary, behavioral and population health data pouring into hospitals is overwhelming. Making analytical use of it requires computing power hospitals don’t have yet.
This technology is rocketing forward faster than predicted. 3D printing appears to be on track for replicating organs for use in testing drugs — and, eventually, in actual transplants. Once inside the hospital, who manages maintenance and repairs?
Physicians will be able to build 3D holographic images of patients and improve the diagnosis process. Images from CTs and MRIs can be turned into digital replicas of patient anatomies.
Artificial Intelligence (AI)
AI and machine learning will unleash new diagnostic and predictive capabilities that will greatly improve patient outcomes. Sorting through the possibilities is an enormous and critical task.
Limbs, organs and other human body components requiring replacement are likely to be robotic in the future. They may even help paralyzed patients regain motor skills.
Decisions Best Led by Clinical Engineering Experts
Clinical engineering teams spend nearly half (40%) of their time on low-value tasks — searching for equipment, managing multiple vendors, and servicing functional equipment due to operator error, etc. — leaving too little time for new technology exploration and decision-making.