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I have worked with BioHymns for several months to develop patient workflows and they have been great. They have a solid process in place for remote patient engagement and are very good at ensuring that the program they provide will meet all of the requirements related to trials, very prompt. They are knowledgeable about artificial Intelligence & Machine Learning and the tricks it takes to build smart solutions.

AlphaGirlz
Director IT

BioSIF™

Time to disrupt healthcare at all levels, from recruitment, consent, retention, data capture to site study execution. Connected devices have the potential to increase access to providers, improve the quality of care thanks to more accurate patient information, and allow patients to take more control over their overall health. In addition, the Internet of Medical Things is changing the clinical trial process, making it more efficient and cost-effective, therefore reducing the time it takes to research new treatments.

Approach

Where the physiological status requires close monitoring can be continuously observed using IoT-driven, non-invasive monitoring. IoMT requires:

  • sensors to collect comprehensive physiological information,
  • uses gateways and the cloud to analyse and store the information,
  • and sends the analysed data to caregivers wirelessly for further analysis.

It replaces the process of having a health professional come by at regular intervals to check a patient’s vital signs by providing a continuous automated flow of information. Eliminating the need for a caregiver to actively engage in data collection and analysis simultaneously improves the quality and lowers the cost of patient care. IoMT-enabled devices can also facilitate health guidance with monitoring systems for diet, physical activity, and quality of life. Innovative devices such as wearable devices, implantable chips, and embedded systems in biomedical devices continuously gathers data about patients’ activities and related vital changes. Advanced sensors, convertors, and firmware in smart devices also allow users to analyse and correlate various vital signs with health conditions at the device level.

How it Works?

IoMT platforms that cater to health care business needs and that mine the insights from collected data. Below is the common workflow of IoMT platforms:

  • Generation of data by connected devices and sensors
  • Data format conversion and integration to allow convergence from a different source, in order to build related intelligence on top of the data collected from devices and perform defined actions
  • Analytics to leverage the volume of data and process real-time for efficient services for the users
  • Interaction with different end user applications and user centric services (reporting to physician, monitoring centers etc.) for required actions or awareness based on analytics results from the above step

Sensors, networks, cloud storage, computing, mobility, and big data analytics has evolved enough to enable the development of affordable smart medical devices and a connected health care ecosystem. Considering the benefits and associated challenges, IoMT can deliver promising solutions to improve health care monitoring and treatment. IoMT technology will bring a new era of personalized health care for healthy living standards all over the world.

  • Pull IoT patterns from an agile integration platform – Capture the potential of IoT from connected Point of Sale systems, smart (electrical) grid, building automation, medical devices, and more. The Intelligent Integration Platform connects common IoT communication protocols, platforms, and analytics to your enterprise stack, improving agility, innovation, and decision-making.
  • Connect IoT and API with your Enterprise Stack – An IoT initiative can involve edge devices, fog computing, and a variety of IoT protocols and platforms. Integrating all of this data with the rest of your organization is critical to capturing its value. Intelligent Integration Platform supports a variety of standard protocols and data sources including streaming, and data for real-time decision-making key to your IoT initiative’s success.
  • Support a Variety of IoT Integrations – An agile integration platform needs to support many types of integration patterns as well as patterns specific to data location such as the cloud, legacy systems, and trading partners. We support a variety of IoT protocols such as MQTT, HTTP, document and Binary producers, REST, SOAP, and AmQP through Rabbit MQ.

Delivering state-of-the-art healthcare IoT solutions to enhance the potential of healthcare delivery

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