The perceptible shift from reactive healthcare to proactive patient care is a direct result of the technological advances in the Internet of Medical Things (IoMT), according to a new Frost & Sullivan report. In fact, the escalating demand for remote patient monitoring, along with the introduction of advanced smartphones and mobile applications, as well as an advanced hospital infrastructure, are setting the stage for establishing smart hospitals all over the world.

Frost & Sullivan’s recent analysis, “Internet of Medical Things Enabling Hospitals of the Future,” explains the significance of IoMT in the healthcare sector by presenting key technology trends and enabling technologies, as well as analyzing the major factors influencing technology development and adoption.

“Sensors, artificial intelligence (AI), Big Data analytics, and blockchain are vital technologies for IoMT as they provide multiple benefits to patients and facilities alike,” says Varun Babu, TechVision’s senior research analyst. “For instance, they help with the delivery of targeted and personalized medicine while simultaneously ensuring seamless communication and high productivity within smart hospitals.”

Moreover, as IoMT-based medical systems are built on a feedback loop, the system automatically repeats feedback for better patient results. Several technologies will have important roles to play in enabling smart hospitals. Some of these include:

  • Big Data analytics: By using analytics to gain actionable insights, smart hospitals can employ digital prescriptive maintenance of medical equipment. Big Data analytics can analyze electronic health records and hospital networks, control data for public health research, and reduce hospital readmissions.
  • Blockchain: Users of blockchain solutions can create modern models for managing and sharing medical records and patient health patterns within specified populations/communities. A blockchain network will bring together insurance companies, hospitals, and patients for hassle-free and well-integrated payments, Frost & Sullivan researchers say.
  • AI: This technology collects the massive amounts of data generated by IoT to make inferences and predict medical diagnostics based on complex analysis algorithms. With the combination of IoT (for periodic control) and AI (for analysis process), connected healthcare monitoring devices will become “intelligent” over time.

“The main objective of IoMT is to eliminate unnecessary information within the medical system so that doctors can focus on diagnoses and treatment,” says Babu. “Since it is an emerging technology, technology developers need to offer standardized testing protocols so that they can convince hospitals of their safety and efficacy and make the most of their massive potential.”