In Healthcare, Milliseconds Matter

In the healthcare industry, new diagnostic equipment, patient monitoring tools, and operational technologies are delivering unprecedented levels of patient care but also producing huge amounts highly sensitive patient data. By processing and analyzing more data at the source with FogHorn, medical facilities can optimize supply chain operations and enhance patient services and privacy at a much lower cost.

Use Cases


Lower maintenance costs, improve asset performance and longevity, and maximize yield.

Asset Performance

Maximize high-value asset output, balance reliability, performance, and cost.


Optimize systems for maximum KPI performance, quickly adjust to changing conditions.

Asset Tracking

Optimize logistics, precision asset location information, monitor perimeter boundaries.


Healthcare systems are ideal candidates for the application of IoT technology to improve the quality of patient care and drive the modernization of hospitals and other medical facilities. IoT for healthcare is still relatively new and only a small percentage of its potential implementations are currently available. However, the healthcare industry is so diverse and vast, the future of IoT implementations is essentially unlimited and will remain this way for years to come.

One application for IoT that is immediately feasible is support for real-time health systems (RTHS) for patient monitoring, particularly remote monitoring and telemonitoring. Used in conjunction with telemedicine systems that allow doctors and other clinicians to monitor and communicate with patients over the internet, this significantly raises the quality and immediacy of patient care without the high cost and time of providing services inside a physical building with on-site medical staff.

Another immediate application for IoT in healthcare is the tracking and maintenance of connected medical equipment. Predictive maintenance of equipment based on device feedback and historical data rather than a fixed maintenance schedule, allows equipment to be kept in service for longer periods and maintained at a lower cost while still avoiding malfunctions that lead to unplanned downtime. GPS and RFID tracking of portable equipment and hospital beds can also help maximize utilization while automating the tracking process, freeing staff to focus more on patients themselves rather than equipment.

FogHorn’s edge intelligence platform can integrate the on-site collection and processing of data from connected medical devices eliminating the need to upload huge amounts of data to remote data centers. In addition to providing real-time analysis with immediate availability, it also protects patient privacy by keeping data off of the cloud and the internet as much as possible.

In the future as more devices and sensors connect to the healthcare IoT ecosystem, edge intelligence solutions like the FogHorn platform will be able to analyze vast amounts of data and integrate it into a highly effective RTHS that can perform vital tasks such as automatically reconciling patient medication, updating electronic health records, scheduling and overall cost reduction.

Increase quality and reduce costs of healthcare through intelligent real-time health monitoring

Although healthcare providers are gradually adopting new technologies that can improve patient care and control rising costs, the impact of IoT on the healthcare industry across the world will be truly transformational.

One aspect of IoT that is growing in focus for the healthcare industry is real-time health monitoring and diagnostics, especially for patients suffering from chronic illnesses. Such systems must provide uninterrupted monitoring of various vital and biological signs while also reducing costs and protecting the patient’s privacy. Monitoring solutions that rely on sending all sensor signals to a remote cloud server for analysis are not suitable for the healthcare industry. In addition to sending private patient data to remote servers over the Internet, these systems also require uninterrupted network connectivity. This is costly and inefficient when sending large amounts of data and is also subject to latency issues and unexpected outages.

A better solution is one that uses sensors to monitor a patient’s condition in real-time and sends the data to FogHorn enabled edge gateway device located near the patient in compliance with healthcare policies regarding privacy and security. By providing onsite medical analysis of a patient’s real-time streaming data, FogHorn’s edge solution can send automatic notifications to doctors in case of abnormal signs and emergencies or send vital information to caregivers to ensure drug therapy compliance. And by reducing the need for full-time clinicians, it can also alleviate the workload on nurses and doctors while significantly lowering the cost of critical and chronic patient care.