It is not news that healthcare delivery organizations face enormous challenges. Principal among these is keeping up with advances in capital equipment such as MRI machines and CT scanners. Manufacturers have integrated ever-increasing IoT and Smart Systems technologies into these machines that enable functions such as automated diagnostics, remote patient management and performance monitoring.
Medical professionals and IT teams may view the mountains of data these machines produce as overwhelming. However, with a new generation of analytics incorporating artificial intelligence (AI) and machine learning (ML), these data can become a critical solution for increasing machine uptime, improving patient care and even training of medical staff. Effectively managing complex machine data from healthcare imaging equipment will produce $11.6 billion of potential revenue value (increased uptime and reduced downtime) by 2022, notes Harbor Research.
Read more about what Glen Allmendinger and Puneet Pandit have to say here.