Systems and methods for disambiguating time-series data generated by monitoring devices
Inventors
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Assignees
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Johns Hopkins UniversityFounded in 1876, Johns Hopkins University is recognized as the first research university in the United States. It advances interdisciplinary education, high-impact research, and global outreach, supporting knowledge translation, technological innovation, and community partnerships. The university fosters academic excellence, innovation incubation, outreach, and inclusion across multiple campuses in Baltimore, integrating into the city's social, economic, and cultural life.
Founded in 1876, Johns Hopkins University is recognized as the first research university in the United States. It advances interdisciplinary education, high-impact research, and global outreach, supporting knowledge translation, technological innovation, and community partnerships. The university fosters academic excellence, innovation incubation, outreach, and inclusion across multiple campuses in Baltimore, integrating into the city's social, economic, and cultural life.
Publication Number
US-12699704-B2
Publication Date
2026-08-04
Expiration Date
Abstract
Systems, methods, and computer programs for disambiguating time-series data generating by a monitoring device. In one aspect, the method can include obtaining entity independent time-series data broadcast by a monitoring device, determining, based on the obtained entity independent time-series data, one or more attributes of the entity independent time-series data, generating a query that includes the one or more attributes of the entity independent time-series data, executing the generated query against an entity database to obtain query results that identify an entity, and generating data that associates the obtained entity independent time-series data with the identified entity.
Core Innovation
The invention disambiguates entity independent time-series data generated by a monitoring device that monitors an entity, wherein the entity is a patient. The time-series data is obtained in an entity-independent form that does not include entity linkage, and the system determines one or more attributes of the entity independent time-series data based on the obtained time-series data. In response, a query is generated that includes the one or more attributes determined from the obtained time-series data transmitted by the monitoring device.
The generated query is executed against an entity database to obtain query results that identify the entity monitored by the monitoring device that transmits the entity independent time-series data. The approach stores data that associates the obtained entity independent time-series data with the identified entity. The stored data comprises a data structure that includes a first field structuring an entity identifier that identifies the entity and one or more second fields that include at least a portion of the entity independent time-series data.
The invention also provides a system and non-transitory computer-readable media configured to perform the same disambiguation operations. The query uses the determined attributes to identify the monitored patient, and the resulting stored data structure preserves both the entity identifier and the associated entity independent time-series data portion.
Claims Coverage
The independent claims comprise three inventive features: a method, a system, and one or more non-transitory computer-readable media. Across these claims, the coverage centers on determining attributes from entity independent time-series data, generating and executing a query against an entity database to identify the patient, and storing a data structure associating the time-series data with an entity identifier.
Disambiguating entity independent time-series data using attributes, query, entity database, and storage
Obtaining entity independent time-series data transmitted by a monitoring device that monitors an entity, wherein the entity is a patient; determining one or more attributes of the entity independent time-series data; generating a query that includes the one or more attributes; executing the query against an entity database to obtain query results that identify the entity; and storing data that associates the entity independent time-series data with the identified entity in a data structure including an entity identifier and one or more second fields that include at least a portion of the entity independent time-series data.
System performing disambiguation of entity independent time-series data for a patient
A system with one or more computers and one or more memory devices storing instructions that cause the same disambiguation operations, including determining attributes from entity independent time-series data, generating a query, executing the query against an entity database, and storing associated data in a data structure with an entity identifier and time-series data fields.
Non-transitory computer-readable media storing disambiguation instructions for entity independent time-series data
One or more non-transitory computer-readable media storing instructions that cause the same operations for obtaining entity independent time-series data, determining attributes, generating and executing a query against an entity database, and storing data associating the time-series data with an identified entity.
The inventive features collectively use attributes determined from entity independent time-series data to identify the patient through an entity database and store the associated data in a structured form.
Stated Advantages
Documented Applications
No documented applications found
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