Systems and methods for viewing biometrical information and dynamically adapting schedule and process interdependencies with clinical process decisioning

Abstract

Certain embodiments provide a method for viewing biometrical information, determining the clinical state of the patient, and dynamically adapting schedule and process interdependencies in a clinical environment. The method includes deriving a schedule including at least one patient treatment protocol based on a mathematical model using people and asset information as input. The method also includes processing input biometrical data indicating a patient status. Additionally, the method includes adapting the at least one patient treatment protocol based on the biometrical data. Further, the method includes revising the schedule based on adapting the at least one patient treatment protocol. In certain embodiments, the method includes recalculating a critical path, schedule tasks, and resource allocation based on adapting the at least one patient treatment protocol and revising the schedule. In certain embodiments, the method includes communicating with affected process stakeholders and assets regarding the revised schedule.

1 . A method for viewing biometrical information and dynamically adapting schedule and process interdependencies in a clinical environment, said method comprising:
 deriving a schedule including at least one patient treatment protocol based on a mathematical model using people and asset information as input;   determining at what stage of a protocol at least one patient is using available information to infer or logically determine the protocol stage, the available information obtained from one or more data sets in the clinical environment;   processing input biometrical data to derive the clinical state of the patient and indicate a patient status;   adapting said at least one patient treatment protocol based on said biometrical data; and   revising said schedule based on adapting said at least one patient treatment protocol.   
   
   
       2 . The method of  claim 1 , further comprising recalculating a critical path, schedule tasks, and resource allocation based on adapting said at least one patient treatment protocol and revising said schedule. 
   
   
       3 . The method of  claim 1 , further comprising communicating with affected process stakeholders and assets regarding said revised schedule. 
   
   
       4 . The method of  claim 1 , wherein said biometrical data comprises at least one of patient vital sign data, patient symptom information, and patient electronic medical record data. 
   
   
       5 . The method of  claim 1 , further comprising calculating, using a critical path method and program evaluation and review techniques with assumptions derived from an active process feedback and probabilistic historical task durations, at least one of the following probabilities:
 a) a probability that a scheduled task will start at a given time;   b) a probability that a scheduled task will end at a given time; and   c) a probability that a whole or a part of the schedule will at least one of start and end as scheduled.   
   
   
       6 . The method of  claim 1 , further comprising calculating, using a critical path method and program evaluation and review techniques with assumptions derived from an active process feedback and probabilistic historical task durations, at least one of the following times in the daily schedule:
 a) a time that a scheduled task will start given a desired probability of a start occurring; and   b) a time that a scheduled task will end given a desired probability of an end occurring.   
   
   
       7 . The method of  claim 1 , further comprising at least one of the following scenarios:
 a) providing a historical “what was” emulation of the schedule;   b) providing a current “what is” visualization of the schedule;   c) providing a future “what will be” simulation of the schedule; and   d) providing a predictive “what if” scenario generation for the schedule,   based on the interdependencies, estimated task durations, input biometrical data, and the state of personnel, equipment, and locations.   
   
   
       8 . The method of  claim 7 , wherein said revising step further comprises adjusting the daily schedule based on at least one of scenarios a), b), c), and d). 
   
   
       9 . A scheduling system for viewing biometrical information and dynamically adapting schedule and process interdependencies in a clinical environment, said system comprising:
 a scheduling module deriving a schedule including at least one patient treatment protocol based on a mathematical model using people and asset information as input; and   an input module processing input biometrical data indicating a patient status,   wherein said scheduling module adapts said at least one patient treatment protocol based on said biometrical data and revises said schedule based on adapting said at least one patient treatment protocol.   
   
   
       10 . The system of  claim 9 , further comprising a user interface module configured to allow a user to monitor activities and track a schedule of tasks for a given day, said user interface module configured to permit the user to visualize variation of schedule task times, to visualize scheduling opportunities and constraints, and to view schedule risk information with respect to the schedule of tasks for the day,
 wherein said scheduling module is coupled to said user interface module, said scheduling module configured to load the schedule of tasks for a given day, along with decision rules and protocols and to calculate a schedule risk based on a) task interdependencies between personnel, equipment, and location, b) estimated task durations, and c) a state of personnel, equipment, and locations, said logic engine using process feedback from the schedule of tasks along with probabilistic historical data in conjunction with the schedule risk to provide an alert to the user regarding the schedule risk.   
   
   
       11 . The system of  claim 9 , wherein said scheduling module calculates, using a critical path method and program evaluation and review techniques with assumptions derived from process feedback from the schedule of tasks and probabilistic historical task duration data, at least one of the following probabilities:
 a) a probability that a scheduled task will start at a given time;   b) a probability that a scheduled task will end at a given time; and   c) a probability that a whole or a part of the schedule will at least one of start and end as scheduled.   
   
   
       12 . The system of  claim 9 , wherein said scheduling module calculates, using a critical path method and program evaluation and review techniques with assumptions derived from process feedback from the schedule of tasks and probabilistic historical task duration data, at least one of the following times in the daily schedule:
 a) a time that a scheduled task will start given a desired probability of a start occurring; and   b) a time that a scheduled task will end given a desired probability of an end occurring.   
   
   
       13 . The system of  claim 9 , wherein said scheduling module executes at least one of the following scenarios for display:
 a) providing a historical “what was” emulation of the schedule;   b) providing a current “what is” visualization of the schedule;   c) providing a future “what will be” simulation of the schedule; and   d) providing a predictive “what if” scenario generation for the schedule,   based on the interdependencies, estimated task durations, and the state of personnel, equipment, and locations.   
   
   
       14 . The system of  claim 9 , wherein said scheduling module recalculates a critical path, schedule tasks, and resource allocation based on adapting said at least one patient treatment protocol and revising said schedule. 
   
   
       15 . The system of  claim 9 , wherein said scheduling module communicates with affected process stakeholders and assets regarding said revised schedule. 
   
   
       16 . The system of  claim 9 , wherein said biometrical data comprises at least one of patient vital sign data, patient symptom information, and patient electronic medical record data 
   
   
       17 . A computer-readable medium having a set of instructions for execution on a computer, said set of instructions comprising:
 a scheduling routine deriving a schedule including at least one patient treatment protocol based on a mathematical model using people and asset information as input; and   an input routine processing input biometrical data indicating a patient status,   wherein said scheduling routine adapts said at least one patient treatment protocol based on said biometrical data and revises said schedule based on adapting said at least one patient treatment protocol.   
   
   
       18 . The computer-readable medium of  claim 17 , further comprising a user interface routine for displaying a schedule of tasks for a given day and allowing a user to monitor activities and track the schedule of tasks along with visualization of timing probabilities, schedule risks, and proposed schedule modifications involving times, locations, personnel, and equipment. 
   
   
       19 . The computer-readable medium of  claim 17 , wherein said scheduling routine recalculates a critical path, schedule tasks, and resource allocation based on adapting said at least one patient treatment protocol and revising said schedule. 
   
   
       20 . The computer-readable medium of  claim 17 , wherein said scheduling routine communicates with affected process stakeholders and assets regarding said revised schedule.