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PhysioCloud Kafka Integrations: KafkaOpenTSDB, CarescapeKafka, KafkaADT
Case ID:
C15732
Disclosure Date:
3/6/2019
Web Published:
10/10/2019
Unmet Need
Every day medical institutions are deluged by a veritable tsunami of patient data. Everything from treatment history, to allergies, to real-time physiological/telemetry data can be relevant to helping caregivers the information they need to make the best possible treatment decisions for their patients and organizing that data into a coherent picture is becoming more difficult than ever. In order to deploy best practices such as holistic care and machine learning, there is a tremendous need to be able to store and organize patient data into a coherent, easily interpreted database. This is especially true for physiological data with its low latency and high volume.
Technology Overview
This technology utilizes the Kafka processing platform to take minute-to-minute data from the GE Carescape platform and organize it into time series data that can be combined with other data for analysis. It represents a significant improvement over existing paradigms for the storage and organization of physiological data both in terms of its speed and flexibility. It is a powerful foundation for any analytical platform focused on patient data.
Stage of Development
This technology has been developed to a proof-of-concept stage.
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Direct Link:
https://jhu.technologypublisher.com/technology/36566
Inventors:
Category(s):
Technology Classifications > Computers, Electronics & Software > Databases, Technology Classifications > Computers, Electronics & Software > Clinical Management, Technology Classifications > Computers, Electronics & Software > Electronic Medical Records,
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For Information, Contact:
Lisa Schwier
lschwie2@jhu.edu
410-614-0300
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