Systems and methods for real-time data ingestion to a clinical analytics platform to generate a heat map
First Claim
1. A method of ingesting and analyzing healthcare data from a plurality of data sources in real-time, comprising:
- connecting to at least one data source;
retrieving data from the data source on a periodic basis to a database;
synchronizing data between the at least one data source and the database;
processing the data to identify data elements, map data elements, and normalize data elements, wherein the data elements are stored in a database,wherein the mapping comprises assigning data to a field of a database according to a hierarchically organized lexicon of healthcare data elements, wherein multiple data element entries in the lexicon are mapped to a single field for at least one field;
linking the data elements over time to form a longitudinal data record, wherein the longitudinal data records are stored in a longitudinal data warehouse; and
analyzing the longitudinal data records with a computer processor to obtain a heat map, wherein one axis of the heat map relates to a health status and the other axis of the map relates to a prescribing pattern;
wherein the colors of the plot visually indicate the quantifiable differences in prescribing for different statuses of health.
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Abstract
The clinical analytics platform automates the capture, extraction, and reporting of data required for certain quality measures, provides real-time clinical surveillance, clinical dashboards, tracking lists, and alerts for specific, high-priority conditions, and offers dynamic, ad-hoc quality reporting capabilities. The clinical informatics platform may include a data extraction facility that gathers clinical data from numerous sources, a data mapping facility that identifies and maps key data elements and links data over time, a data normalization facility to normalize the clinical data and, optionally, de-identify the data, a flexible data warehouse for storing raw clinical data or longitudinal patient data, a clinical analytics facility for data mining, analytic model building, patient risk identification, benchmarking, performing quality assurance, and patient tracking, and a graphical user interface for presenting clinical analytics in an actionable format.
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Citations
20 Claims
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1. A method of ingesting and analyzing healthcare data from a plurality of data sources in real-time, comprising:
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connecting to at least one data source; retrieving data from the data source on a periodic basis to a database; synchronizing data between the at least one data source and the database; processing the data to identify data elements, map data elements, and normalize data elements, wherein the data elements are stored in a database, wherein the mapping comprises assigning data to a field of a database according to a hierarchically organized lexicon of healthcare data elements, wherein multiple data element entries in the lexicon are mapped to a single field for at least one field; linking the data elements over time to form a longitudinal data record, wherein the longitudinal data records are stored in a longitudinal data warehouse; and analyzing the longitudinal data records with a computer processor to obtain a heat map, wherein one axis of the heat map relates to a health status and the other axis of the map relates to a prescribing pattern; wherein the colors of the plot visually indicate the quantifiable differences in prescribing for different statuses of health. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method of ingesting and analyzing healthcare data from a plurality of data sources in real-time, comprising:
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connecting to at least one data source; retrieving data from the data source on a periodic basis to a database; synchronizing data between the at least one data source and the database; processing the data to identify data elements, map data elements, and normalize data elements, wherein the data elements are stored in a database, wherein the mapping comprises assigning data to a field of a database according to a hierarchically organized lexicon of healthcare data elements, wherein multiple data element entries in the lexicon are mapped to a single field for at least one field; linking the data elements over time to form a longitudinal data record, wherein the longitudinal data records are stored in a longitudinal data warehouse; and analyzing the longitudinal data records with a computer processor to obtain a co-morbidity heat map, wherein one axis of the co-morbidity heat map relates to a first health status and the other axis of the map relates to a second health status, wherein the colors of the plot indicate the presence of a co-morbidity. - View Dependent Claims (13, 14)
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15. A method of ingesting and analyzing healthcare data from a plurality of data sources in real-time, comprising:
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connecting to at least one data source; retrieving data from the data source on a periodic basis to a database; synchronizing data between the at least one data source and the database; processing the data to identify data elements, map data elements, and normalize data elements, wherein the data elements are stored in a database, wherein the mapping comprises assigning data to a field of a database according to a hierarchically organized lexicon of healthcare data elements, wherein multiple data element entries in the lexicon are mapped to a single field for at least one field; linking the data elements over time to form a longitudinal data record, wherein the longitudinal data records are stored in a longitudinal data warehouse; and analyzing the longitudinal data records with a computer processor to obtain a physician heat map, wherein one axis of the physician heat map represents an individual physician and the other axis of the physician heat map relates to a particular characteristic of a physician clinical practice in the care of a particular health status, wherein the physician heat map is constructed using a self-organizing clustering algorithm which clusters physicians with similar characteristics along one axis. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification