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Associating a Subject with their Time-series Data: A Distinct Method to Get Physiological Data for a Subject While Maintaining a Level of Security by Separating Them

Unmet NeedTime-series data is essential to understanding patient progress, disease course, and response to treatment. While it is currently possible to store and access time series records, many factors are removed or not recorded, resulting in confounding variables to patient data. Thus, there exists a need for methods to filter time-series data by...

Published: 6/28/2024 | Inventor(s): Raimond Winslow, Stephen Granite

Keywords(s):

Category(s): Technology Classifications > Computers, Electronics & Software > Databases, Technology Classifications > Computers, Electronics & Software > Healthcare IT, Technology Classifications > Computers, Electronics & Software > Clinical Management, Technology Classifications > Computers, Electronics & Software > Electronic Medical Records

PhysioCloud Kafka Integrations: KafkaOpenTSDB, CarescapeKafka, KafkaADT

Unmet NeedEvery 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...

Published: 6/28/2024 | Inventor(s): Raimond Winslow, Stephen Granite

Keywords(s): Computer and Network Systems, Computer Software, Database Management Software, Operations Management, Research Management

Category(s): Technology Classifications > Computers, Electronics & Software > Databases, Technology Classifications > Computers, Electronics & Software > Clinical Management, Technology Classifications > Computers, Electronics & Software > Electronic Medical Records

Johns Hopkins University PROTEIN-DB2 Database System

C04853: Johns Hopkins University PROTEIN-DB2 Database SystemNovelty: The current invention is a relational database for proteomic experiments.Value Proposition: Proteomic data collection follows complex workflow, ranging from gel electrophoresis to mass spectrometry to liquid chromatography or a combination thereof. In addition, amplification of low-abundance...

Published: 6/27/2024 | Inventor(s): Raimond Winslow, Stephen Granite, Chunguang Yang, Ali Ali, Donita Robinson

Keywords(s): Computer and Network Systems, Computer Software, Computing; Calculating; Counting, Data Processing Systems or Methods, Specifically Adapted fo~, Data Processing Systems or Methods, Specifically Adapted for, Physics

Category(s): Technology Classifications > Computers, Electronics & Software > Financial Tech, Technology Classifications > Computers, Electronics & Software, Technology Classifications > Computers, Electronics & Software > Databases