Medication and Self-care Assistance

Solution Group

Industry

Telemedicine
Health & Life Science

PoC Duration

Iotellect Match

5-20 days
AI powered Low Code IoT/IIoT Platform

Empower patients and caregivers with a comprehensive solution for managing medication schedules, tracking vital signs, and providing personalized self-care guidance. Our cloud-based platform seamlessly integrates smart devices, sensors, and AI-powered analytics to deliver tailored support for improved health outcomes and independent living. Simplify medication adherence, monitor chronic conditions, and enable remote care coordination - all from a centralized, secure dashboard. Unlock the power of connected health and transform the delivery of personalized, preventative care.

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

Medication and Self-care Assistance Devices

image
IoT gateways
image
Sensor hubs
image
Blood glucose meters
image
Blood pressure monitors
image
Smart scales
image
Medication dispensers
image
Wearable health trackers
image
Activity sensors
image
Voice assistants
image
Ambient sensors
(temperature, humidity, light)
image
Emergency call buttons
image
Telehealth devices
  • Integration of medication dispensers using device-side data normalization through Iotellect Agents, ensuring accurate dosage tracking and timely reminders
  • Connection of smart scales via MQTT protocol to collect and transmit weight data to a centralized dashboard for health monitoring
  • Support for integrating glucose meters with MQTT and REST protocols, enabling real-time glucose level updates to caregivers and healthcare providers
  • Continuous tracking of patient movement using wearable health trackers for activity monitoring and fall detection
  • Utilization of blood pressure monitors to automate the collection of vitals, sending alerts for any abnormal readings
  • Connection of ambient sensors like temperature and humidity to adjust living conditions for optimal comfort in patient environments
  • Integration of telehealth devices, facilitating remote consultations by sharing real-time vital signs and health metrics with health practitioners
  • Usage of emergency call buttons, linking directly through secure IoT connectivity protocols to provide immediate support and assistance during health emergencies

Connectivity and Management

  • Low code integration with EHR systems, enabling seamless patient record updates with real-time data from health sensors and monitors
  • Integrating telehealth devices with hospital information systems (HIS) for streamlined remote consultation scheduling based on available health data
  • Low code integration with pharmacy information systems (PIS) for automated medication order verification based on prescription adherence data
  • Implementation of secure communication between glucose meters and external databases for real-time sugar level recordings and analytics
  • Automated synchronization between personal health records (PHR) platforms and connected devices, ensuring consistent data availability
  • Integration with third-party wellness platforms, offering personalized self-care suggestions based on live sensor data from activity monitors
  • Low code connectors facilitating data exchange between medication dispensers and national drug monitoring programs, enhancing compliance verification

Integration

  • Application of machine learning algorithms directly on edge devices for predictive analytics on chronic conditions using Iotellect Edge capabilities
  • Utilization of the low-code expression language to create personalized health alerts, automating response actions based on trends detected in historical data from wearable devices
  • Historical trend analysis from glucose meters to predict potential diabetic complications and suggest proactive measures
  • Analysis of blood pressure data using statistical process control tools to detect anomalies and trends in patient heart health
  • Monitoring patient activity levels through wearable health trackers to assess risks of sedentary behavior on overall well-being
  • Real-time anomaly detection utilizing data from ambient sensors to ensure environments maintain conditions conducive to patient health
  • Use of predictive analytics on aggregated vital sign data to identify early signs of deteriorating health conditions across patient populations
  • Application of digital twin models from the modeling engine to simulate and predict patient outcomes based on current treatment plans

Analytics

  • Creation of user-friendly dashboards displaying critical vitals information such as blood pressure or glucose levels, allowing quick comprehension by non-specialist users
  • Development of custom visual interfaces using the visual GUI Builder enabling caregivers to monitor multiple patients' health status remotely
  • Dashboards summarizing medication adherence rates from connected dispensers with graphical representations for at-a-glance analysis
  • Location-based mapping interfaces highlighting ambient sensor status across different rooms, aiding facility management in maintaining optimal conditions
  • Interactive visual displays indicating emergency call button activations, enabling swift response coordination from healthcare teams
  • Customizable alert systems within dashboards where alerts trigger based on thresholds set for vital signs monitored through connected devices
  • Utilization of a role-based access control system within user interfaces ensuring sensitive medical data is visible only to authorized personnel
  • Visualization tools providing patterns and trends analysis over time, showcasing improvements or declines in patients' self-care efforts

UI/UX

Key Features
of Your Medication and Self-care Assistance Solution

Customers and Partners

  • System Integrators
  • Independent Software Vendors
  • Home Healthcare Providers
  • Assisted Living Facilities
  • Hospitals and Healthcare Providers
  • Pharmacies
  • Chronic Disease Management Organizations

Solution Users and Developers

  • Dedicated low code developers
  • Healthcare professionals
  • IoT solution architects
  • Care-giving team supervisors
Customer success team
Community
Online training

Assistance

Ask us anything!

I have read, understood and accepted the Privacy Policy and Terms of Use of iotellect.com

Ask us how to start!

Great question!
We will answer you within one working day.
Sincerely yours, Iotellect Team.

Meet

Start building your IoT app or service by creating a new Application, or continue an already existing project

Install even more modules, plugins, and drivers from the integrated Marketplace

Configure and control every aspect of your Iotellect Server and manage its users with administration tools

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

Find detailed tutorials on using the Platform and answers to a wide variety of questions in the Knowledge Base

Get inspiration from the practical examples found in the IoT business case Demos

Level up your Iotellect skills with the Platform Training Events and share your Platform experiences with our Community

Create and manage resources, set up the deployment environment, and configure the application from a single dashboard

Access the properties, configurations and countless features of every resource used in your current project from the Application Resources tree

Try the Tutorial on how to create a simple IoT application to understand the basics of building a functional IoT solution with Iotellect

Access the properties, configurations, and countless features of every resource in your Iotellect Server from the System Tree

Configure and control every aspect of your Iotellect Server and manage its users with Administration tools

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

Home Screen

Quickly access everything you need, whether starting a new session on the Platform or continuing from where you left off

Development

Build IoT applications of any complexity with ease in a simple, yet powerful, dedicated workspace

Administration

Manage and monitor your Iotellect Server instance, its users and all created resources

improve your business with a perfectly self-tailored

or win more clients with a new

market product

in-house service

Proved Worldwide
Across Industries
image
image
image
image
image
image
image
image
image
image
image
image
image
image
image
image
image
image
image
image
image
image
image
image

15 000 000 000 000+

data samples collected and processed

image

25 000 000+

devices under monitoring and supervision

image

40 000+

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

image

300+

SaaS and on-premise partner products created

image

80+

countries leverage Iotellect technology

image