Remote Health Monitoring

Solution Group

Industry

Smart Hospital
Health & Life Science

PoC Duration

Iotellect Match

5-15 days
AI powered Low Code IoT/IIoT Platform

Improve access to care, especially for rural areas and chronic disease management cases, while reducing travel and wait times. Enable early detection of health issues, lowering hospital re-admissions and costs, while enhancing patient outcomes through real-time data and personalized treatment adjustments. Optimize healthcare resources, support post-surgical care, and minimize the spread of infectious diseases. Deliver a custom-tailored solution based on a powerful IoT platform.

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

Devices

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Wearable health monitors
such as smartwatches, fitness bands, or specialized health wearables that track heart rate, oxygen saturation, physical activity, and sleep
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Remote Patient Monitoring (RPM) devices
like blood pressure cuffs, glucose monitors, and pulse oximeters that transmit data directly to healthcare providers
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Continuous Glucose Monitors (CGMs)
for monitoring blood sugar levels in diabetic patients
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ECG Monitors
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Smart implants
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Smart patches
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Telehealth kits
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Fetal and maternal monitors
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Smart beds
  • Usage of Wi-Fi, Bluetooth, or cellular networks to transmit patient data in real-time to healthcare providers or cloud systems
  • Seamless coordination across multiple monitoring tools, such as combining heart rate and respiratory data for a more comprehensive view
  • Instant alerting of clinicians or caregivers when patient data crosses predefined thresholds, enabling timely intervention
  • Patients can access educational materials, set goals, and track their progress to better manage chronic conditions like diabetes or hypertension
  • Access to multiple patient data, allowing for easy monitoring and prioritization of care

Connectivity and Management

  • Low code integration with Electronic Health Record (EHR) systems
  • Low code integration with Hospital Information Systems (HIS)
  • Low code integration with Clinical Decision Support Systems (CDSS)
  • Low code integration with telemedicine platforms
  • Low code integration with insurance and billing platforms
  • Low code integration with Health Information Exchanges (HIEs)

Integration

  • Analysis of long-term health data to identify patterns or trends, such as changes in heart rate, blood pressure, or glucose levels over time
  • Usage of machine learning to predict future health risks or complications based on historical data, enabling early interventions and personalized care plans
  • Comparing of patient's data against population averages or clinical benchmarks to assess whether an individual's health metrics fall within expected ranges
  • Generation of tailored health insights based on an individual's unique data, providing recommendations for lifestyle changes, medication adjustments, or further testing
  • Assessment of patient risk levels, prioritizing high-risk patients for urgent care and allowing healthcare providers to allocate resources more effectively
  • Evaluation of the effectiveness of care plans, making it easier to adjust strategies for better results

Analytics

  • Display of patient data in real-time with clear visuals, such as charts, graphs, and status indicators, allowing for quick assessment of vital signs and other metrics
  • Centralized view to monitor multiple patients simultaneously, with the ability to sort or filter based on risk levels or conditions
  • Intuitive graphical representations of trends, historical data, and health analytics, making it easier for providers to spot changes in a patient’s condition over time
  • Interaction with generated reports, zooming into specific time frames or data points for deeper insights
  • Patients can set health goals (e.g., steps per day, blood pressure range) and visually track their progress over time through graphical progress bars or scorecards
  • Accessibility of interface to a wide range of users, including the elderly or those with disabilities with multilingual support, text-to-speech functionality, and adjustable font sizes

UI/UX

Key Features
for Your Remote Health Monitoring Solution

Customers and Partners

  • System Integrators
  • Independent Software Vendors
  • Hospitals and Clinics
  • Pharmaceutical Companies
  • Home Healthcare Providers

Solution Users and Developers

  • Dedicated low code developers
  • Healthcare professionals
  • Medical technicians
  • IoT/IIoT hardware developers
Customer success team
Community
Online training

Assistance