IDC Health Insights recently published IDC Survey: Provider Investment Plans for Robotics. This survey presents key findings from the healthcare section of IDC’s 2017 Worldwide Robotics Survey. The goal of the survey was to assess current and future robotics adoption patterns, use cases, and application areas, as well as investment trends for robots and drones. The results focused on robotics adoption, use cases, and investment plans by U.S. healthcare providers at hospitals with 200+ beds. While the adoption of drones for healthcare utilization is minimal and expected to remain so in the near future, the use of robots in healthcare will yield increased investment in the coming years.
Embedding machine learning in healthcare is slowly moving into mainstream. Still a very noisy market with what seems like 100s of start-ups. Through the noise emerges vendors that at early stage are applying machine learning to solve some of healthcare's most pressing problems. The use case getting the most traction in the market is the application of machine learning to predictive analytics, particularly to identify patient's with clinical and financial risk. Other applications include automating medical record review to validate Hierarchical Condition Coding (HCC), a process that was manual and caused friction between payers and providers, improving patient engagement for care management through mobile technology and identifying variation in clinical practice and recommending best practices.
IoT is emerging as a catalyst for rapid innovation in GCC healthcare and, in some usage scenarios and application areas, the market for IoT is maturing and rapidly becoming mainstream. The tip of the iceberg is already visible, and the growing convergence of mobile, Big Data, social media, and IoT will play an unparalleled role in the digital transformation of GCC healthcare systems, accelerating innovation and enabling the region-wide drive toward gold-standard healthcare models as envisioned by the long-term development plans set by GCC governments.
IDC expects that much of the Internet of Things (IoT) potential to empower hospitals, other healthcare providers and patients in their decision making will materialize in the next few years, and it will be driven by major developments in IoT platforms and advanced analytics. With these tools, the vast amount of data generated by endpoints can be gathered, analysed and turned into clinical value. IoT platforms are evolving rapidly, and their architecture is becoming increasingly sophisticated. At a basic level, these products connect devices, collect and manage vast amounts of data, and expose new insights to healthcare providers’ backend systems or to third parties. Their ability to support the development of new applications that can underpin better and faster decision making is crucial.
Watson Health set its sights on applying cognitive/AI on a wide range of healthcare domains including evaluating radiology images, unlocking genomic data to improve diagnoses and treatment decisions, assisting physicians in developing treatment plans for cancer patients and enabling population health. Those skeptics in the healthcare industry that challenged IBM's ability to democratize Watson should take note that Watson for Oncology is being deployed in mainstream hospitals and is actively being used by oncologists across the world.
May 22, 2017: Today IDC Health Insights announced the second annual IDC Health Insights HealthTech Rankings. The leading global vendors of healthcare IT hardware, software, and services have been separated into two categories: Optum is the leader of the Top 50 and IBM is the leader of the Enterprise Top 25.