Smart Medical Equipment Management

Solution Group

Industry

Smart Hospital
Health & Life Science

PoC Duration

Iotellect Match

3-10 days
AI powered Low Code IoT/IIoT Platform

Provide connected medical device management services based on a comprehensive cloud-based IoT platform. Monitor location, status, and performance of critical assets in real-time. Optimize equipment utilization, reduce maintenance costs, and ensure patient safety through predictive analytics and automated workflows. Empower healthcare facilities to deliver superior patient care by leveraging the power of connected devices and data-driven insights.

Iotellect is a low code IoT/IIoT development platform. It does not work as an out-of-the-box solution or product. Instead, it helps you to monetize your IoT know-how by dramatically lowering labor costs and cutting time-to-market for your product, service, or solution. It allows business-oriented IoT professionals to join the development process by converting their IoT market knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

Smart Medical Devices

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Network equipment
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Diagnostic and imaging devices
(e.g. MRI machines, X-ray machines, CT scanners, ultrasound machines, endoscopy equipment)
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Patient monitoring devices
(heart rate monitors, blood pressure sensors, SpO2 sensors, ECG/EKG machines, fetal monitors, glucometers, and more)
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Therapeutic equipment
(infusion pumps, ventilators, dialysis machines, defibrillators, anesthesia machines, etc.)
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Laboratory and testing equipment
(e.g. blood analyzers, automated microscopes, biochemistry analyzers, hematology analyzers)Surgical and procedural tools
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Surgical and procedural tools
(surgical lights and tables, electrosurgical units, endoscopic towers, robotic surgery systems, and more)
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Rehabilitation and mobility devices
(patient lifts, motorized wheelchairs, physical therapy equipment, etc.)
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Sterilization and cleaning equipment
(e.g. autoclaves, disinfection machines)
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RFID tags and readers
for asset tracking
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Barcode scanners
for inventory management
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IoT gateways and sensor hubs
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Environmental and utility systems
(HVAC, medical gas, backup power, etc.)
  • Establish real-time monitoring of medical devices such as infusion pumps, ventilators, and patient monitors through Iotellect's support for diverse communication protocols like MQTT and OPC UA
  • Use RFID tags and readers to keep an accurate account of medical equipment locations, ensuring they are always available when needed
  • Employ temperature, humidity, and vibration sensors to track environmental conditions around critical medical equipment, maintaining optimal performance and patient safety
  • Integrate occupancy sensors with the Iotellect platform to gather data on equipment usage patterns, enhancing decision-making for resource allocation in healthcare facilities
  • Utilize barcode scanners for streamlined inventory management, increasing efficiency in tracking medical supplies and equipment
  • Implement wireless gateways to aggregate data from various IoT devices, ensuring comprehensive visibility of medical assets within a healthcare facility
  • Enhance remote diagnostic capabilities by connecting predictive maintenance sensors directly with the platform for timely identification of potential equipment failures
  • Deploy Iotellect agents across devices for on-site data normalization, reducing network load while maintaining data integrity

Connectivity and Management

  • Facilitate low-code integration with Electronic Health Record (EHR) systems to ensure that patient data seamlessly connects with the monitoring performed on medical equipment
  • Connect temperature and humidity sensor data with Hospital Information Systems (HIS) to automatically adjust HVAC settings based on current environmental needs
  • Implement low code connectors for streamlined communications between asset tracking systems using RFID technology with logistics platforms for efficient supply chain management
  • Enable interoperability with Clinical Decision Support Systems (CDSS) by exposing critical diagnostic data from remote-controlled devices via MQTT or REST protocols
  • Achieve seamless integration between occupancy sensors and Hospital Resource Management platforms to optimize bed usage and reduce wait times for patients
  • Use wireless gateway connectivity for integration with Laboratory Information Management Systems (LIMS), ensuring consistent updates regarding diagnostic tool availability and usage stats
  • Provide integration support for connecting barcode scanners to Pharmacy Information Systems (PIS), ensuring accurate medication tracking throughout a healthcare facility
  • Allow configuration-based driver development for proprietary protocol connections without programming overhead, accelerating device integration into healthcare IT ecosystems

Integration

  • Leverage data from medical devices and environment sensors to develop predictive analytics models that identify equipment servicing needs before they lead to failures
  • Analyze historical utilization data from occupancy sensors to optimize schedules for medical equipment use, reducing downtime and improving operational efficiency
  • Process environmental sensor data to detect trends in temperature or humidity fluctuations that may affect equipment performance or patient safety
  • Use historical performance data from predictive maintenance sensors to forecast the remaining useful life of critical medical devices, minimizing unexpected breakdowns
  • Employ vibration sensors' data in conjunction with machine learning algorithms on the Iotellect platform to predictively determine when equipment requires maintenance
  • Implement the low-code expression language for creating custom alerts based on threshold breaches in vital parameters gathered from multiple sensor sources
  • Use Iotellect’s statistical process control module to analyze time-series data from infusion pumps and other devices, identifying anomalies or inefficiencies
  • Develop digital twins of essential medical assets to simulate potential issues before they occur, enabling proactive intervention strategies

Analytics

  • Design dashboards providing real-time analytics on critical medical asset status using Iotellect’s interactive web components like gauges and charts to display complex data clearly
  • Customize alert notification settings within role-based dashboards enabling healthcare staff to receive immediate updates on any critical changes detected by occupancy or environment sensors
  • Offer HMIs that run on PC or mobile browsers featuring responsive layouts suitable for quick information access during emergency scenarios in hospital centers
  • Utilize drag-and-drop GUI Builder tools for crafting intuitive interfaces displaying RFID-tracked inventory locations visually on floor plan maps merged with asset condition alerts
  • Deliver dynamic heat maps integrating sensor grid data overlaying normal room conditions that visualize potential hot/cold spots affecting patient care environments remotely accessible via web interface
  • Customize digital signage displayed in patient areas tailored with digital twin insights rendered through HTML5 dashboards revealing hospital-wide resource allocation efficiency improvements visually
  • Ensure configuration flexibility through modular dashboard designs allowing departments focused presentations highlighting needed equipment statuses and use metrics thereby rapidly reducing systemic lags intensively

UI/UX

Key Features
of Your Smart Medical Equipment Management Solution

Customers and Partners

  • System Integrators
  • Independent Software Vendors
  • Medical Device Manufacturers
  • Hospitals and Healthcare Providers
  • Biomedical Engineering Companies
  • Facilities Management Companies

Solution Users and Developers

  • Dedicated low code developers
  • Healthcare IT specialists
  • IoT/IIoT hardware developers
  • Biomedical engineers
Customer success team
Community
Online training

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Keep an eye on Server health and analyze its performance with the detailed Monitoring dashboard

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Proved Worldwide
Across Industries
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15 000 000 000 000+

data samples collected and processed

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25 000 000+

devices under monitoring and supervision

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40 000+

types of devices and data sources connected via more than 50 supported communication protocols

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300+

SaaS and on-premise partner products created

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80+

countries leverage Iotellect technology

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