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euMetrica - a remote monitoring and notification system

Submitted on October 26, 2012

What problem are you intending to solve?

In-time reporting, alerting and informing caregivers about medical conditions and events. Real-time preventative care via live variables on an individual level.

What is the technological approach, or development roadmap?

Our development roadmap begins with the development of a simple patient and caregiver front-end on the Android mobile platform. We seek to have a prototype, which will store data (identification and measurements) in the Amazon Cloud (Amazon Web Services) for Development Round 1. The first prototype will take measurements using an infrared thermometer (Node with Therma module). For the second round of development, we seek to implement certain simple threshold-based alerts and messaging capability for the system, to facilitate secure caregiver and patient interaction. This round's system will incorporate the capability for the system to take measurements and set thresholds on EKG signal measurements taken by a dry-sensor EKG instrument. For the third development round, we aim to incorporate real-time analytics into the back-end, and an HTML5 web app (optionally, an iPhone app) to be used as a dashboard. In the future post the development rounds, we aim to incorporate a digital spirometer into the system, which would provide a straightforward use-case for the system's monitoring and reporting capabilities. As we research additional use-cases and devices throughout the development process, we will seek to offer those sensor choices to the individual and caregiver. Please see our project website for more description on the technologies being used in the front and back ends of the system.

How will end users interact with it, and how will they benefit?

One set of end users are those individuals with chronic conditions which need monitoring. They will interact with the system via a mobile application, as well as a set of passive and active Bluetooth 4.0 enabled sensors taking continuous and discrete measurements, respectively. Notifications from the system and the caregivers about the health state of the individual will be delivered to the individual via the mobile application. The caregivers will also interact with the system by monitoring their patients’ health status, setting and receiving alerts, as well as advising on these alerts. The system focuses on benefiting users with chronic conditions with the need for medical monitoring, such as the elderly, diabetics with glucose pumps, those folk with heart conditions and asthmatics. These populations may benefit with the system improving their medication adherence, preventing hospital readmissions, giving a peace of mind to them and their family about their medical state, as well as providing referrals to specialists when necessary. Doctors could benefit from the additional information and alerts generated by the system, as well as reducing re-admissions to emergency care facilities by taking preventative action (such as prescribing stronger medicine or asking the patient to come into the office). The system’s monitoring capabilities could enable care providers to avoid the financial penalty set up by the Affordable Care Act of 2010 (PPACA) by preventing patient emergencies and thus readmissions through preventative action, based on system notifications and alerts.

How will your app leverage the 1Gbps, sliceable and deeply programmable network?

A medical information system, such the one proposed by our team, requires high availability for the caregiver/doctor, as well as the patient. High availability on a distributed network (such as Amazon Web Services at the core of our system) requires high bandwidth by definition. The greater the bandwidth, such as a 1 Gbps connection, the more available and responsive the monitoring, messaging and alerting functionalities of the system are to the caregiver and patient users. Complex event (CEP) and real-time processing of the data into information used for decision support can only be done with a high-bandwidth network.

Further application information

Additional supporting information, materials and resources

Read about project updates - project blog

Take a look at the existing code - project repository

Will your work be beta-ready by the end of the Development Challenge?

Yes, our aim is to have the project to be ready for signing up users by the end of the Development Challenge, with one or two medical sensors and set of alerts to go with them. We hope to be able to securely sign in users (using AWS for authentication) by January/February - Round 3.

How much effort do you expect this work to take?

We expect the first prototype to be ready by the end of Development Round 1. The next prototype ready for Development Round 2, and a beta-ready prototype in a couple of months, ready for Round 3. In sum, a few months for a true user-ready prototype, and years of development for a fully functional system (available for integration with many sensor devices, etc). We’ll aim to focus on integrating one device and set of alerts at a time (medical verticals approach). The amount of effort will be reduced with the expansion of the engineering team and additional medical professional consultants.

Do you need help?

We could use more help with Android and HTML5 development. The team is currently looking to learn about more use-cases for the system by having conversations with medical and nursing professionals. We would like to have business and ecosystem mentorship from individuals with Health-IT experience, preferably those from a start-up. We describe project opportunities here:

If you can help let them know in the comments below.

Dmitri Boulanov

An aspiring Health-IT entrepreneur. Currently a Software Engineer at an investment firm, with trading systems experience. Graduate of Boston University's Biomedical Engineering program. A community organizer and STEM education evangelist.

and team members

Amr Ali is currently an Associate Scientist at a major pharmaceutical company. Dmitri Boulanov is currently a Software Engineer at an investment firm. Both are aspiring entrepreneurs and have physiological signal processing experience as graduates of the Biomedical Engineering program at Boston University’s College of Engineering. Dimitry Kudryavtsev is a Senior Software Engineer at a small real-time analytics company, with real-time analytics and Android experience. They are being advised by Dr. George Yu (creator of the Node tool) and Dr. Mina Sartipi, a Computer Science professor of University of Chattanooga. Three consulting members of the team are Tunde Agboola (currently pursuing his Masters in Computer Science at Harvard University), Adam Kran (Civil Engineer and idea guy from Brown University), and Christopher Riederer (currently pursuing his Ph.D in Computer Science at Columbia University). Tunde, Adam, and Chris are advising the team with ideas for use-cases and system implementation. If you’d like more information, please visit the About section of our website:

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