Zum Hauptinhalt springen

OPTIMIZING STATE TRANSITION SET POINTS FOR SCHEDULE RISK MANAGEMENT

2016
Online Patent

Titel:
OPTIMIZING STATE TRANSITION SET POINTS FOR SCHEDULE RISK MANAGEMENT
Link:
Veröffentlichung: 2016
Medientyp: Patent
Sonstiges:
  • Nachgewiesen in: USPTO Patent Applications
  • Sprachen: English
  • Document Number: 20160063192
  • Publication Date: March 3, 2016
  • Appl. No: 14/473707
  • Application Filed: August 29, 2014
  • Claim: 1. A computer-implemented method comprising: calculating, using a processor, a cumulative distribution function for one or more tasks in a healthcare protocol for a healthcare facility based on a probability density function associated with task duration for each of the one or more tasks; determining, using the processor based on the cumulative distribution function, a plurality of schedule risk states for each task in a healthcare protocol, each schedule risk state associated with an upper specification limit and a lower specification limit along the cumulative distribution function; identifying, within the upper specification limit and the lower specification limit for each respective schedule risk state, one or more setpoints associated with one or more probabilities along the cumulative distribution function; monitoring, using the processor, execution of the one or more tasks in the healthcare protocol to identify a transition in schedule risk state according to the upper specification limit and lower specification limit; and triggering, using the processor, an action to react to an actual or upcoming change in schedule risk state based on the one or more setpoints associated with the schedule risk state.
  • Claim: 2. The method of claim 1, wherein the lower specification limit indicates a minimum probability threshold of completing the task within an allocated time, and wherein the upper specification limit represents an adjustable surplus probability over an expected duration probability for the task.
  • Claim: 3. The method of claim 1, wherein the plurality of schedule risk states comprises low, medium, and high.
  • Claim: 4. The method of claim 1, wherein one of the one or more setpoints triggers a warning indication and another of the one or more setpoints triggers a mitigating action.
  • Claim: 5. The method of claim 1, further comprising displaying, via a graphical user interface, a current schedule risk state and a change in schedule risk state.
  • Claim: 6. The method of claim 1, further comprising enabling simulation, based on the one or more tasks, schedule risk state, and task interdependencies, of the healthcare protocol for the healthcare facility.
  • Claim: 7. The method of claim 1, further comprising comparing simulation of a plurality of what-if scenarios based on the one or more tasks, schedule risk state, and task interdependencies, of the healthcare protocol for the healthcare facility and enabling selection of one of the plurality of what-if scenarios to modify a healthcare workflow.
  • Claim: 8. The method of claim 1, further comprising providing feedback based on the monitoring of task execution and associated cumulative density function to adjust the one or more setpoints for one or more of the plurality of schedule risk states.
  • Claim: 9. A tangible computer-readable storage medium having a set of instructions for execution on a computer, the set of instructions, when executed, causing the computer to implement a method, the method comprising: calculating a cumulative distribution function for one or more tasks in a healthcare protocol for a healthcare facility based on a probability density function associated with task duration for each of the one or more tasks; determining, based on the cumulative distribution function, a plurality of schedule risk states for each task in a healthcare protocol, each schedule risk state associated with an upper specification limit and a lower specification limit along the cumulative distribution function; identifying, within the upper specification limit and the lower specification limit for each respective schedule risk state, one or more setpoints associated with one or more probabilities along the cumulative distribution function; monitoring execution of the one or more tasks in the healthcare protocol to identify a transition in schedule risk state according to the upper specification limit and lower specification limit; and triggering an action to react to an actual or upcoming change in schedule risk state based on the one or more setpoints associated with the schedule risk state.
  • Claim: 10. The computer-readable storage medium of claim 9, wherein the lower specification limit indicates a minimum probability threshold of completing the task within an allocated time, and wherein the upper specification limit represents an adjustable surplus probability over an expected duration probability for the task.
  • Claim: 11. The computer-readable storage medium of claim 9, wherein the plurality of schedule risk states comprises low, medium, and high.
  • Claim: 12. The computer-readable storage medium of claim 9, wherein one of the one or more setpoints triggers a warning indication and another of the one or more setpoints triggers a mitigating action.
  • Claim: 13. The computer-readable storage medium of claim 9, wherein the method further comprises displaying, via a graphical user interface, a current schedule risk state and a change in schedule risk state.
  • Claim: 14. The computer-readable storage medium of claim 9, wherein the method further comprises enabling simulation, based on the one or more tasks, schedule risk state, and task interdependencies, of the healthcare protocol for the healthcare facility.
  • Claim: 15. The computer-readable storage medium of claim 9, wherein the method further comprises comparing simulation of a plurality of what-if scenarios based on the one or more tasks, schedule risk state, and task interdependencies, of the healthcare protocol for the healthcare facility and enabling selection of one of the plurality of what-if scenarios to modify a healthcare workflow.
  • Claim: 16. The computer-readable storage medium of claim 9, wherein the method further comprises providing feedback based on the monitoring of task execution and associated cumulative density function to adjust the one or more setpoints for one or more of the plurality of schedule risk states.
  • Claim: 17. A system comprising: a processor configured to execute instructions to arrange the processor as a logic engine to: calculate a cumulative distribution function for one or more tasks in a healthcare protocol for a healthcare facility based on a probability density function associated with task duration for each of the one or more tasks; determine, based on the cumulative distribution function, a plurality of schedule risk states for each task in a healthcare protocol, each schedule risk state associated with an upper specification limit and a lower specification limit along the cumulative distribution function; identify, within the upper specification limit and the lower specification limit for each respective schedule risk state, one or more setpoints associated with one or more probabilities along the cumulative distribution function; monitor execution of the one or more tasks in the healthcare protocol to identify a transition in schedule risk state according to the upper specification limit and lower specification limit; and trigger an action to react to an actual or upcoming change in schedule risk state based on the one or more setpoints associated with the schedule risk state.
  • Claim: 18. The system of claim 17, wherein the lower specification limit indicates a minimum probability threshold of completing the task within an allocated time, and wherein the upper specification limit represents an adjustable surplus probability over an expected duration probability for the task.
  • Claim: 19. The system of claim 17, wherein one of the one or more setpoints triggers a warning indication and another of the one or more setpoints triggers a mitigating action.
  • Claim: 20. The system of claim 17, wherein the logic engine is further arranged to: enable simulation, based on the one or more tasks, schedule risk state, and task interdependencies, of the healthcare protocol for the healthcare facility; and provide feedback based on the simulation and the monitoring of task execution and associated cumulative density function to adjust the one or more setpoints for one or more of the plurality of schedule risk states.
  • Current International Class: 06; 06

Klicken Sie ein Format an und speichern Sie dann die Daten oder geben Sie eine Empfänger-Adresse ein und lassen Sie sich per Email zusenden.

oder
oder

Wählen Sie das für Sie passende Zitationsformat und kopieren Sie es dann in die Zwischenablage, lassen es sich per Mail zusenden oder speichern es als PDF-Datei.

oder
oder

Bitte prüfen Sie, ob die Zitation formal korrekt ist, bevor Sie sie in einer Arbeit verwenden. Benutzen Sie gegebenenfalls den "Exportieren"-Dialog, wenn Sie ein Literaturverwaltungsprogramm verwenden und die Zitat-Angaben selbst formatieren wollen.

xs 0 - 576
sm 576 - 768
md 768 - 992
lg 992 - 1200
xl 1200 - 1366
xxl 1366 -