SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR PERFORMING AUTOMATIC SURVEILLANCE AND TRACKING OF ADVERSE EVENTS
First Claim
1. A system comprising:
- one or more data sources configured to provide a combination of clinical, operational and financial data associated with respective patients of a plurality of patients;
a network entity in electronic communication with respective data sources in order to receive at least part of the combinations of data, said network entity configured to;
apply one or more trigger rules to the combinations of data received in order to identify one or more suspected adverse events;
receive an indication of one or more confirmed adverse events from among the one or more suspected adverse events; and
automatically compile at least part of the combination of data associated with respective patients in association with which the confirmed adverse events occurred; and
a user device in electronic communication with the network entity, said user device configured to enable performance of a root cause analysis of the compiled data.
9 Assignments
0 Petitions
Accused Products
Abstract
A system, method and computer program product are provided for automatically detecting and tracking adverse events. The system may include one or more data sources configured to provide a combination of clinical, operational and financial data associated with each of a plurality of patients. The system may further include a network entity configured to receive at least part of the combination of data and to apply one or more trigger rules to the combinations of data to identify one or more suspected adverse events. The network entity may further be configured to receive an indication of one or more confirmed adverse events from among the suspected adverse events, and to automatically compile at least part of the combination of data associated with respective patients in association with which the confirmed adverse events occurred. The system may further include a user device configured to enable performance of a root cause analysis of the compiled data.
-
Citations
31 Claims
-
1. A system comprising:
-
one or more data sources configured to provide a combination of clinical, operational and financial data associated with respective patients of a plurality of patients; a network entity in electronic communication with respective data sources in order to receive at least part of the combinations of data, said network entity configured to; apply one or more trigger rules to the combinations of data received in order to identify one or more suspected adverse events; receive an indication of one or more confirmed adverse events from among the one or more suspected adverse events; and automatically compile at least part of the combination of data associated with respective patients in association with which the confirmed adverse events occurred; and a user device in electronic communication with the network entity, said user device configured to enable performance of a root cause analysis of the compiled data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
-
-
16. A method comprising:
-
receiving a combination of clinical, operational and financial data associated with respective patients of a plurality of patients; applying one or more trigger rules to the combinations of data in order to identify one or more suspected adverse events, wherein at least one trigger rule is configured to determine whether a particular sequence of events has occurred with respect to the patient; receiving an indication of one or more confirmed adverse events from among the one or more suspected adverse events; and automatically compiling at least part of the combination of data associated with respective patients in association with which the confirmed adverse events occurred, thereby facilitating performance of a root cause analysis of the compiled data. - View Dependent Claims (17, 18, 19, 20, 21, 22)
-
-
23. A computer program product for comprising at least one computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:
-
a first executable portion for receiving a combination of clinical, operational and financial data associated with respective patients of a plurality of patients; a second executable portion for applying one or more trigger rules to the combinations of data in order to identify one or more suspected adverse events, wherein at least one trigger rule is configured to determine whether a particular sequence of events has occurred with respect to the patient; a third executable portion for receiving an indication of one or more confirmed adverse events from among the one or more suspected adverse events; and a fourth executable portion for automatically compiling at least part of the combination of data associated with respective patients in association with which the confirmed adverse events occurred, thereby facilitating performance of a root cause analysis of the compiled data. - View Dependent Claims (24, 25, 26)
-
-
27. A method comprising:
-
receiving a combination of clinical, operational and financial data associated with respective patients of a plurality of patients; applying one or more trigger rules to the combinations of data in order to identify one or more suspected adverse events; receiving an indication of one or more confirmed adverse events from among the one or more suspected events; and automatically compiling at least part of the combination of data associated with respective patients in association with which the confirmed adverse events occurred; and automatically generating one or more performance metrics based at least in part on the compiled data, wherein the performance metrics comprise a cost or a length of stay associated with confirmed adverse events corresponding to one or more severity levels, event categories, or drug classes. - View Dependent Claims (28, 30, 31)
-
-
29. The method of claim 29, wherein the one or more confirmed adverse drug events are determined based at least in part on a causality factor and a severity level associated with respective suspected adverse drug events, and wherein automatically compiling data comprises compiling the causality factor and severity level associated with respective confirmed adverse drug events.
Specification