IoT Solutions for Healthcare

Remote patient monitoring (RPM) solutions enable continuous health data collection (e.g., body temperature, blood pressure) and assessment, early symptom detection, alerts for patients and medical staff on abnormal health parameters, and more. This enhances disease treatment and management, clinical decision-making, care accessibility and continuity, patient support and engagement.

How IoT-enabled patient monitoring works: Connected medical devices (e.g., ECG patches, EEG sensors, glucometers) or wearable biosensors collect health parameters and send them to a cloud server for storage and analysis. If the health parameters exceed or go below the pre-set thresholds, a doctor and a patient get notified.

Use cases:

• Monitoring patients with chronic diseases like cardiovascular diseases, neurological diseases (e.g., Parkinson’s disease), COPD, cancer.
• After-surgery monitoring of outpatients.
• Advanced analytics for diagnostic monitoring to detect the early symptoms of diseases (e.g., prediabetes, arrhythmia).
• Analytics to identify disease course patterns and potential complications.
• Monitoring of medication adherence (e.g., using smart medication dispensing devices for geriatric patients, smart pill bottles).
• Sports medicine.

Hospital asset tracking solutions help minimize asset loss and theft through continuous monitoring of asset location and availability, optimize investments with asset utilization management, automate asset management processes, and enhance patient care by reducing search time for medical supplies, medications, etc.

How IoT-enabled hospital asset tracking works: RFID tags are attached to or embedded into hospital assets (e.g., medical devices, surgical tools). When an asset is moved, RFID readers located in the hospital rooms or halls (e.g., on the walls, by the doors) read the tag and send information on the asset location to the cloud server. The hospital asset tracking solution can display movable assets on an interactive hospital map or show the nearest assets upon a search request.

Use cases:

• Medication inventory tracking.
• Hospital equipment utilization monitoring (e.g., MRI scanners).
• Prevention of hospital items use by unauthorized people.

Monitoring the location of patients and medical staff in hospitals enhances security, helps identify and address inefficiencies in the staffing and scheduling processes of a healthcare organization (e.g., lack of on-duty nurses), and improves bed allocation.

How IoT-enabled patient and staff tracking works: Each patient and staff member gets a bracelet with an RFID tag containing relevant information (e.g., ID, name, position, electronic medical record, current health condition). When a patient or a staff member moves around the hospital, RFID readers on the hospital walls and ceilings receive the tag’s location and send it to the cloud server for further processing and analysis.

Use cases:

• Patient and staff safety improvement in hospitals.
• Prevention of infant abduction.
• Monitoring of flight-risk patients.
• Patient flow optimization in hospitals.
• Real-time staff location tracking in emergency rooms.
• Scheduling and daily task optimization for physicians and nurses.
• Bottleneck detection in hospital workflows.

Smart hospital use cases are numerous – from room environment monitoring to the identification of security incidents (e.g., unsolicited access to a laboratory). Smart hospital solutions bring benefits like decreased power, water consumption and associated expenses, optimized ward conditions to support patients’ recovery, etc.

How an IoT-enabled smart hospital solution works: Using sensors (e.g., motion sensors, temperature sensors), a smart hospital solution collects necessary information about a room condition to analyze and initiate a set of pre-defined actions. For example, when the motion is detected, the solution turns on the lights; when the ward temperature is above 77 degrees, the solution turns on air conditioning.

Use cases:

• Climate control (e.g., to maintain a lower temperature in empty wards, adapt ward humidity).
• Smart room lighting with cloud-connected ward sensors (e.g., a light switch, door, and window contacts).
• Hospital energy efficiency monitoring.
• Hospital security monitoring.

Used primarily for patients with chronic diseases, remote care delivery IoT solutions facilitate patient treatment in home settings, ensuring secure and efficient care decisions without the direct participation of the doctor.

How IoT-based self-management for patients with chronic diseases works: Via the connected medical devices or sensors, the IoMT solution gets data on patients’ health state, and, if necessary, triggers the treatment delivery (e.g., insulin injection using an insulin pump), calculates the necessary medication dose, etc.

Use cases:

• Diabetes management (e.g., using continuous glucose monitors, smart insulin pens, continuous glucose monitors, smart insulin pumps, or closed-loop artificial pancreas systems).
• IoT-based spirometer therapy for patients with COPD.

We seamlessly integrate IoMT solutions with the healthcare systems (e.g., EHR, EMR, HIS) to ensure effective communication between IT infrastructure elements and avoid data fragmentation.

To tackle information security challenges and protect sensitive information (e.g., patients’ health records) from misuse, we deliver HIPAA-compliant IoMT solutions. We are also ready to conduct a vulnerability assessment and penetration testing of your IoMT solution to ensure the highest level of protection of sensitive data. Our information security management capabilities are backed by ISO 27001 certificate.

Despite the benefits of the medical Internet of Things, there is still the risk that substantial investments may not pay off as expected. We offer an iterative development to mitigate the risk: we work in short iterations, and you pay only for the performed work instead of spending a huge budget at the very beginning. We begin with an IoMT solution featuring basic functionality, so you can put it into practice and see the benefits. With every new iteration, we expand the solution’s functionality.