Managing medical events using visual patterns generated from multivariate medical records

A system for managing medical events, comprising:

• at least one medical sensor, configured to monitor one or more patients and output a continuous data stream comprising a plurality of sensor measurements;
• at least one display;
• at least one hardware processor connected to said at least one medical sensor and said at least one display, and adapted to:
• receive a plurality of events, each having a time of occurrence, comprising said plurality of sensor measurements and a plurality of external events pertaining to said one or more patients and received from an external database;
• identify a target sequence of target events in said plurality of events, wherein the target sequence comprises a first target event followed by a second target event, the first target event comprising an administration of a medication and the second target event comprising a medical occurrence;
• identify in said plurality of events a plurality of matching sequences, each comprising the first target event followed by the second target event;
• augment each of said plurality of matching sequences with some temporally related events of said plurality of events;
• cluster said plurality of augmented matching sequences in a plurality of event clusters, wherein a portion of the plurality of augmented matching sequences are clustered according to a temporal distribution of events of each augmented matching sequence in a plurality of time intervals according to an event's time of occurrence relative to a time of occurrence of said matching sequence, wherein the plurality of time intervals comprise different durations, wherein a duration of a first time interval closer to a target event of the target sequence is smaller than a duration of a second time interval further from the target event;
• display on said at least one display a visual representation of said plurality of event clusters according to a predefined set of similarity criteria, wherein the predefined set of similarity criteria comprises the temporal distribution of events and at least one additional similarity criterion, wherein the display is populated with two or more cluster selection tools, and wherein selecting a first cluster selection tool displays a first cluster pattern comprising the temporal distribution of events, and selecting a second cluster selection tool displays a second cluster pattern comprising an additional similarity criterion of the at least one additional similarity criterion;
• and
• wherein a first medication is associated with a matching sequence and a second medication is not associated with any matching sequences.