Systems And Methods Of Medical Device Data Collection And Processing

Abstract

Systems and methods of processing medical device data include receiving streaming time series medical device data. Streaming analytics are applied to the time series medical device data. Streaming analytics identify clinical cases in the streaming time series medical device data. Streaming analytics identify events in the medical device data. An event notifier receives the identified events from the streaming time series medical device data and groups the identified events into notification groups. The event notifications are transmitted for each of the identified events to recipients in the notification groups across communication platforms associated with each of the notification groups.

1 . A method of medical device data processing, the method comprising:
 receiving streaming time series medical device data from a plurality of medical devices;   storing all of the streaming time series medical device data in a data lake comprising at least one computer memory;   conducting streaming analytics to apply a plurality of case identification rules to the streaming time series medical device data to identify clinical cases in the streaming time series medical device data;   upon identification of a clinical case in the streaming time series medical device data, storing the identified clinical case in a computer memory;   conducting streaming analytics to apply a plurality of event detection rules to the streaming time series medical device data to identify events in the streaming time series medical device data;   routing the identified events to an event notifier;   grouping the identified events in the event notifier into notification groups; and   transmitting event notifications for each of the identified events to recipients across communication platforms associated with each of the notification groups.   
     
     
         2 . The method of  claim 1 , further comprising normalizing the received time series medical device data to present data in consistent units of measure. 
     
     
         3 . The method of  claim 1 , wherein the medical device data comprises machine data. 
     
     
         4 . The method of  claim 3 , wherein the machine data comprises alarms, device status, device settings, messages, and measured machine data. 
     
     
         5 . The method of  claim 1 , further comprising:
 evaluating stored clinical cases from the computer memory as normal cases or outlier cases; and   providing the outlier cases to a user for manual review.   
     
     
         6 . The method of  claim 5 , further comprising tagging outlier cases with outcome data to facilitate manual review by the user. 
     
     
         7 . The method of  claim 6 , further comprising receiving an input of an acceptance by the user regarding an outlier case of the plurality of outlier cases and upon the input of the acceptance, providing the outlier case to the learning network. 
     
     
         8 . The method of  claim 5 , further comprising:
 providing the normal cases to a learning network comprising a plurality of stored clinical cases; and   automatedly refining at least one case identification rule or at least one event detection rules with the plurality of stored clinical cases in the learning network.   
     
     
         9 . The method of  claim 1 , wherein the plurality of medical devices comprises a plurality of anesthesia delivery machines and the streaming time series medical device data comprises streaming time series data of anesthetic agent use. 
     
     
         10 . The method of  claim 9 , wherein conducting streaming analytics identifies starts and conclusions of a plurality of surgical events comprising the administration of anesthesia. 
     
     
         11 . The method of  claim 10 , further comprising receiving surgical event scheduling data and wherein the streaming analytics further comprises applying the surgical event scheduling data to the streaming time series data of anesthetic agent use to identify the starts and the conclusions of the plurality of surgical events. 
     
     
         12 . The method of  claim 10 , further comprising:
 providing an anesthetic agent use dashboard on a graphical display, the anesthetic agent use dashboard comparatively presents the anesthetic agent used by the plurality of anesthesia delivery machines across a plurality of surgical events comprising the administration of anesthesia.   
     
     
         13 . The method of  claim 12 , further comprising calculating a cost of consumed anesthetic agent for each of the plurality of surgical events, and presenting the calculated cost of consumed anesthetic agent on the anesthetic agent use dashboard. 
     
     
         14 . The method of  claim 9 , further comprising normalizing the streaming time series data of anesthetic agent use comprises converting the time series data of anesthetic agent use to time series data of liquid anesthetic flow. 
     
     
         15 . The method of  claim 1 , further comprising evaluating stored clinical cases form the computer memory to profile clinician actions in the operation of a medical device. 
     
     
         16 . A system for processing medical device data, the system comprising:
 data ingestion module that receives streaming time series medical device data and preprocesses the streaming time series medical device data;   at least one computer memory comprising a data lake, wherein the received streaming time series medical device data is stored in the at least one computer memory;   a streaming analytics module that receives the streaming time series medical device data and applies a plurality of event detection rules to the streaming time series medical device data to identify events in the streaming time series medical device data; and   an event notifier that receives the identified events in the streaming time series medical device data, groups the identified events based upon predefined recipients of notifications for the identified events, and transmits event notifications for each of the identified events to the predefined recipients associated with each of the groups across at least one communication platform associated with each of the groups.   
     
     
         17 . The system of  claim 16 , further comprising a plurality of medical devices, each medical device of the plurality of medical devices producing a plurality of streams of time series medical device data. 
     
     
         18 . The system of  claim 17 , further comprising a gateway wherein the gateway receives the plurality of streams of time series medical device data from the plurality of medical devices and transmits the plurality of streams of time series medical device data to the data ingestion module. 
     
     
         19 . The system of  claim 17 , further comprising a normalization module that receives the streaming time series medical device data from the data ingestion module and processes the streaming time series medical device data to present the time series medical device data in consistent units of measure. 
     
     
         20 . The system of  claim 17 , wherein the streaming analytics module further comprises applying a plurality of case identification rules to the streaming time series medical device data to identify clinical cases in the streaming time series medical device data, the streaming analytics module creates a clinical case summary from the streaming time series medical device data and stores the clinical case summary in a clinical summary database on at least one computer memory. 
     
     
         21 . The system of  claim 20 , wherein each clinical case summary stored in the clinical case summary is linked to streaming time series medical device data associated with the identified clinical case resulting in the clinical case summary.