The Los Angeles PRISMS Center

The Los Angeles PRISMS Center

Supported by NIH/NIBIB U54 EB022002 (PI: Alex Bui)

The Los Angeles Pediatric Research Integrating Sensor Monitoring Systems (LA PRISMS) Center is fostering the development and application of mobile health (mHealth) technologies that deepen our scientific understanding and clinical management of pediatric conditions. Bringing together leading experts from UCLA and USC in biomedical informatics, computer science, wireless health, environmental science and health, and pediatrics, this Center focuses on the creation of innovative end-to-end software infrastructure for pediatric sensor-based health monitoring.

A part of the NIH's Pediatric Research Integrating Sensor Monitoring Systems (PRISMS) community, this collaborative effort focuses on pediatric asthma. Our Center's vision and proposed research is motivated by the following question: what if you could predict ahead of time, for a specific asthma patient, the potential for exacerbation and thus mitigate – if not prevent – the event? Any system with this ability must integrate the growing array of available physiologic and environmental data from sensors, and place such data into context to elucidate the patient's state and specific situation. The system must be able to act sufficiently quickly on sensed data to make timely recommendations, and end user compliance with system usage must be high to effect change. Our solution, the Biomedical REAl-Time Health Evaluation for Pediatric Asthma (BREATHE) platform, provides an extensible framework for the deployment of data collection protocols; secure data collection from sensors to a mobile device; integration of additional contextual information; and real-time analysis. To build and assess BREATHE, the Center comprises three closely coordinated Projects, described below.

Information from the NIH regarding the PRISMS effort can be found in a news release here and on the NIBIB website here.

ucla newsroom release about the LA PRISMS Center >

Project 1

Project 1
Integrated Sensing from the Device to the Cloud

Pro­ject 1 establis­hes applica­tion pro­gram inter­faces (APIs) for auto­ma­tically gat­he­ring infor­ma­tion from a device and local sen­sors, com­mu­nica­ting with the PRISMS U01 sen­sors and U24 coor­di­na­ting data cen­ter. Stan­dard APIs enabling data exc­hange from sen­sors to a mobile device; and from the mobile device to cloud are explo­red, leve­ra­ging exis­ting mHealth and com­mu­nica­tion pro­tocols. Key aspects of this software infra­struc­ture include secu­ring all aspects of the data col­lec­tion and trans­mis­sion process, and algo­rithms for opti­mizing power usage on sen­sors and the mobile device.

Project Leader: Majid Sarrafzadeh
UCLA Computer Science Department

Project 2

Project 2
Integrating & Visualizing Clinical, Environmental, and Sensor Data

Pro­ject 2 deve­lops the infor­ma­tics infra­struc­ture to enable con­text around sen­sed data, to ana­lyze the data, and to opti­mize the range of inte­rac­tions and acti­vi­ties dif­fe­rent users will have with BREAT­HE. It focuses on com­bi­ning data acqui­red from the U24 data cen­ter with con­textual infor­ma­tion (e.g., regio­nal air qua­li­ty, cli­nical ele­ments from the patient’s elect­ro­nic health record, etc.) with real-­time proces­sing and ana­ly­sis infra­struc­ture. Key deve­lop­ments include crea­ting a uni­fied data model for the infor­ma­tion; and inter­faces for cohort disco­ve­ry, pro­tocol defi­ni­tion, moni­to­ring/up­da­ting of active data col­lec­tion experiments.

Project Leader: Alex Bui
UCLA Medical Imaging Informatics

Project 3

Project 3
Real-time Asthma and Air Pollution Project (Asthma APP)

Pro­ject 3 deve­lops tes­ting pro­tocols to assess the field per­for­mance of sen­sors emplo­yed as part of BREATHE in key mic­roen­vi­ron­ments and the uti­lity of highly resol­ved spa­tial and tem­po­ral data to inform such insights. A fra­mework for eva­lua­ting sys­tem per­for­mance and real-world tes­ting of the plat­form for self-­ma­na­ge­ment and early inter­ven­tions is deve­lo­ped. The use of eco­lo­gical momen­tary assess­ment (EMA) met­hods to unders­tand the envi­ron­ment is emplo­yed. Wor­king with Pro­ject 2, for each indi­vi­dual sub­ject, tai­lo­red pre­dic­tive models that employ real-­time con­tex­tual data will be deve­lo­ped and tes­ted for asthma risk assess­ment.

Project Leaders: Frank Gilliland and Rima Habre
USC Southern California Environmental Health Sciences Center