Operations health management

Abstract

Embodiments are directed towards identifying and decreasing operational pain and increasing system efficiency through health monitoring and management. This may be accomplished through measuring, monitoring, reducing meaningful incident behavior across an organization and using it to inform necessary changes in the organizational operations to improve efficiency, or the like. Ergonomic data or metrics collected by a resource management engine may be used to intelligently inform management decisions to increase human well-being across the organization's workforce to optimize overall system performance. Accordingly, resource management engines may identify areas in organizations that need improvement or repair. In some embodiments, resource management engines may be arranged to participate in a continuous feedback loop that may provide continuous overall system optimization.

1 . A method for managing operations over a network using one or more network computers that include one or more processors that perform actions, comprising:
 instantiating one or more resource management engines to perform actions, including:
 employing instantiation of a normalization engine to convert a format of each of a plurality of notification events, provided by one or more sources, into a unified common event format; 
 employing instantiation of a cluster engine to generate one or more clusters of the plurality of converted notification events based on one or more characteristics of the converted notification events, wherein the one or more clusters of converted notification events are employed to determine one or more interrupt events that require one or more responders to suspend a current activity to timely determine one or more responses to the one or more interrupt events; 
 determining one or more sub-scores in real time based on one or more metrics being provided as input to one or more provided sub-score models, wherein the one or more metrics are associated with the one or more interrupt events that are resolved or unresolved by the one or more responses; and 
 providing an operations score that is associated with a probability of an occurrence of one or more adverse outcomes based on the one or more sub-scores being provided as input to an operations model; and 
   instantiating an analysis engine to perform actions, including:
 comparing the operations score to one or more other operations scores, wherein the comparison of operations scores reduces an amount of computing resources required to predict in real time the one or more adverse outcomes; and 
 updating one or more coefficients of the one or more sub-score models when a result of the comparison exceeds a threshold; and 
 recommending one or more actions to decrease the probability of the occurrence of the one or more adverse outcomes based on the comparison, wherein the one or more actions are provided in a report to a user. 
   
     
     
         2 . The method of  claim 1 , wherein the one or more resource management engines perform further actions, including:
 providing one or more visualizations that represent one or more distributions of the one or more interrupt events; and   providing one or more reports that illustrate one or more increases in resources associated with the one or more distributions and the operations score.   
     
     
         3 . The method of  claim 1 , further comprising, instantiating a modeling engine, that performs actions, including:
 providing the one or more sub-score models based on the metrics; and   providing the operations model based on the one or more sub-score models.   
     
     
         4 . The method of  claim 1 , wherein the one or more resource management engines perform further actions, including:
 providing one or more individual sub-scores for the one or more responders based on the one or more interrupt events;   providing an individual profile for the one or more responders based on a mapping of the one or more adverse outcomes to the one or more individual sub-scores; and   predicting each of the one or more responders that have a high probability of being at risk for an adverse outcome based on the individual profile.   
     
     
         5 . The method of  claim 1 , wherein the one or more metrics, further comprise one or more values that represent one or more of a measure of mean hour of day notifications are received, a proportion of interrupting events during sleep hours, a proportion of interrupt events during dinner hours, a measure of notification variation throughout a time period, a proportion of email notifications, or a proportion of interrupt events during weekends, wherein the one or more values may be provided from continuous data or discrete data. 
     
     
         6 . The method of  claim 1 , wherein the one or more adverse outcomes include one or more of the one or more responders leaving the organization, an increase in production errors, or reduced responder productivity. 
     
     
         7 . The method of  claim 1 , wherein the one or more resource management engines perform further actions, including, predicting an operations score based on the one or more metrics and the one or more sub-score models and the operations model. 
     
     
         8 . The method of  claim 1 , wherein the one or more resource management engines perform further actions, including, providing operations score for one or more of teams, services, or departments that are associated with two or more responders. 
     
     
         9 . A system for managing operations over a network, comprising:
 a network computer, comprising:
 a transceiver that communicates over the network; 
 a memory that stores at least instructions; and 
 one or more processors that execute instructions that perform actions, including:
 instantiating one or more resource management engines to perform actions, including:
 employing instantiation of a normalization engine to convert a format of each of a plurality of notification events, provided by one or more sources, into a unified common event format; 
 employing instantiation of a cluster engine to generate one or more clusters of the plurality of converted notification events based on one or more characteristics of the converted notification events, wherein the one or more clusters of converted notification events are employed to determine one or more interrupt events that require one or more responders to suspend a current activity to timely determine one or more responses to the one or more interrupt events; 
 determining one or more sub-scores in real time based on one or more metrics being provided as input to one or more provided sub-score models, wherein the one or more metrics are associated with the one or more interrupt events that are resolved or unresolved by the one or more responses; and 
 providing an operations score that is associated with a probability of an occurrence of one or more adverse outcomes based on the one or more sub-scores being provided as input to an operations model; and 
 
 instantiating an analysis engine to perform actions, including:
 comparing the operations score to one or more other operations scores, wherein the comparison of operations scores reduces an amount of computing resources required to predict in real time the one or more adverse outcomes; and 
 updating one or more coefficients of the one or more sub-score models when a result of the comparison exceeds a threshold; and 
 recommending one or more actions to decrease the probability of the occurrence of the one or more adverse outcomes based on the comparison, wherein the one or more actions are provided in a report to a user; and 
 
 
   one or more other network computers, comprising:
 another transceiver that communicates over the network; 
 another memory that stores at least instructions; and 
 one or more processors that execute instructions that perform actions, including:
 providing one or more portions of the plurality of notification events. 
 
   
     
     
         10 . The system of  claim 9 , wherein the one or more resource management engines perform further actions, including:
 providing one or more visualizations that represent one or more distributions of the one or more interrupt events; and   providing one or more reports that illustrate one or more increases in resources associated with the one or more distributions and the operations score.   
     
     
         11 . The system of  claim 9 , further comprising, instantiating a modeling engine, that performs actions, including:
 providing the one or more sub-score models based on the metrics; and   providing the operations model based on the one or more sub-score models.   
     
     
         12 . The system of  claim 9 , wherein the one or more resource management engines perform further actions, including:
 providing one or more individual sub-scores for the one or more responders based on the one or more interrupt events;   providing an individual profile for the one or more responders based on a mapping of the one or more adverse outcomes to the one or more individual sub-scores; and   predicting each of the one or more responders that have a high probability of being at risk for an adverse outcome based on the individual profile.   
     
     
         13 . The system of  claim 9 , wherein the one or more metrics, further comprise one or more values that represent one or more of a measure of mean hour of day notifications are received, a proportion of interrupting events during sleep hours, a proportion of interrupt events during dinner hours, a measure of notification variation throughout a time period, a proportion of email notifications, or a proportion of interrupt events during weekends, wherein the one or more values may be provided from continuous data or discrete data. 
     
     
         14 . The system of  claim 9 , wherein the one or more adverse outcomes include one or more of the one or more responders leaving the organization, an increase in production errors, or reduced responder productivity. 
     
     
         15 . The system of  claim 9 , wherein the one or more resource management engines perform further actions, including, predicting an operations score based on the one or more metrics and the one or more sub-score models and the operations model. 
     
     
         16 . The system of  claim 9 , wherein the one or more resource management engines perform further actions, including, providing operations score for one or more of teams, services, or departments that are associated with two or more responders. 
     
     
         17 . A processor readable non-transitory storage media that includes instructions for managing operations over a network, wherein execution of the instructions by one or more hardware processors performs actions, comprising:
 instantiating one or more resource management engines to perform actions, including:
 employing instantiation of a normalization engine to convert a format of each of a plurality of notification events, provided by one or more sources, into a unified common event format; 
 employing instantiation of a cluster engine to generate one or more clusters of the plurality of converted notification events based on one or more characteristics of the converted notification events, wherein the one or more clusters of converted notification events are employed to determine one or more interrupt events that require one or more responders to suspend a current activity to timely determine one or more responses to the one or more interrupt events; 
 determining one or more sub-scores in real time based on one or more metrics being provided as input to one or more provided sub-score models, wherein the one or more metrics are associated with the one or more interrupt events that are resolved or unresolved by the one or more responses; and 
 providing an operations score that is associated with a probability of an occurrence of one or more adverse outcomes based on the one or more sub-scores being provided as input to an operations model; and 
   instantiating an analysis engine to perform actions, including:
 comparing the operations score to one or more other operations scores, wherein the comparison of operations scores reduces an amount of computing resources required to predict in real time the one or more adverse outcomes; and 
 updating one or more coefficients of the one or more sub-score models when a result of the comparison exceeds a threshold; and 
 recommending one or more actions to decrease the probability of the occurrence of the one or more adverse outcomes based on the comparison, wherein the one or more actions are provided in a report to a user. 
   
     
     
         18 . The media of  claim 17 , wherein the one or more resource management engines perform further actions, including:
 providing one or more visualizations that represent one or more distributions of the one or more interrupt events; and   providing one or more reports that illustrate one or more increases in resources associated with the one or more distributions and the operations score.   
     
     
         19 . The media of  claim 17 , further comprising, instantiating a modeling engine, that performs actions, including:
 providing the one or more sub-score models based on the metrics; and   providing the operations model based on the one or more sub-score models.   
     
     
         20 . The media of  claim 17 , wherein the one or more resource management engines perform further actions, including:
 providing one or more individual sub-scores for the one or more responders based on the one or more interrupt events;   providing an individual profile for the one or more responders based on a mapping of the one or more adverse outcomes to the one or more individual sub-scores; and   predicting each of the one or more responders that have a high probability of being at risk for an adverse outcome based on the individual profile.   
     
     
         21 . The media of  claim 17 , wherein the one or more metrics, further comprise one or more values that represent one or more of a measure of mean hour of day notifications are received, a proportion of interrupting events during sleep hours, a proportion of interrupt events during dinner hours, a measure of notification variation throughout a time period, a proportion of email notifications, or a proportion of interrupt events during weekends, wherein the one or more values may be provided from continuous data or discrete data. 
     
     
         22 . The media of  claim 17 , wherein the one or more adverse outcomes include one or more of the one or more responders leaving the organization, an increase in production errors, or reduced responder productivity. 
     
     
         23 . The media of  claim 17 , wherein the one or more resource management engines perform further actions, including, predicting an operations score based on the one or more metrics and the one or more sub-score models and the operations model. 
     
     
         24 . A network computer for managing operations over a network, comprising:
 a transceiver that communicates over the network;   a memory that stores at least instructions; and   one or more processors that execute instructions that perform actions, including:
 instantiating one or more resource management engines to perform actions, including:
 employing instantiation of a normalization engine to convert a format of each of a plurality of notification events, provided by one or more sources, into a unified common event format; 
 employing instantiation of a cluster engine to generate one or more clusters of the plurality of converted notification events based on one or more characteristics of the converted notification events, wherein the one or more clusters of converted notification events are employed to determine one or more interrupt events that require one or more responders to suspend a current activity to timely determine one or more responses to the one or more interrupt events; 
 determining one or more sub-scores in real time based on one or more metrics being provided as input to one or more provided sub-score models, wherein the one or more metrics are associated with the one or more interrupt events that are resolved or unresolved by the one or more responses; and 
 providing an operations score that is associated with a probability of an occurrence of one or more adverse outcomes based on the one or more sub-scores being provided as input to an operations model; and 
 
 instantiating an analysis engine to perform actions, including:
 comparing the operations score to one or more other operations scores, wherein the comparison of operations scores reduces an amount of computing resources required to predict in real time the one or more adverse outcomes; and 
 updating one or more coefficients of the one or more sub-score models when a result of the comparison exceeds a threshold; and 
 
 recommending one or more actions to decrease the probability of the occurrence of the one or more adverse outcomes based on the comparison, wherein the one or more actions are provided in a report to a user. 
   
     
     
         25 . The network computer of  claim 24 , wherein the one or more resource management engines perform further actions, including:
 providing one or more visualizations that represent one or more distributions of the one or more interrupt events; and   providing one or more reports that illustrate one or more increases in resources associated with the one or more distributions and the operations score.   
     
     
         26 . The network computer of  claim 24 , further comprising, instantiating a modeling engine, that performs actions, including:
 providing the one or more sub-score models based on the metrics; and   providing the operations model based on the one or more sub-score models.   
     
     
         27 . The network computer of  claim 24 , wherein the one or more resource management engines perform further actions, including:
 providing one or more individual sub-scores for the one or more responders based on the one or more interrupt events;   providing an individual profile for the one or more responders based on a mapping of the one or more adverse outcomes to the one or more individual sub-scores; and   predicting each of the one or more responders that have a high probability of being at risk for an adverse outcome based on the individual profile.   
     
     
         28 . The network computer of  claim 24 , wherein the one or more metrics, further comprise one or more values that represent one or more of a measure of mean hour of day notifications are received, a proportion of interrupting events during sleep hours, a proportion of interrupt events during dinner hours, a measure of notification variation throughout a time period, a proportion of email notifications, or, proportion of interrupt events during weekends, wherein the one or more values may be provided from continuous data or discrete data. 
     
     
         29 . The network computer of  claim 24 , wherein the one or more adverse outcomes include one or more of the one or more responders leaving the organization, an increase in production errors, or reduced responder productivity. 
     
     
         30 . The network computer of  claim 24 , wherein the one or more resource management engines perform further actions, including, predicting an operations score based on the one or more metrics and the one or more sub-score models and the operations model.