Clinical Schedule Interdependency Analysis for Proactive Decision Support
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Solution Overview
Problem
Current clinical scheduling systems lack integration of variation, staff and equipment preferences, interdependencies, and information flow, failing to provide proactive or forward-looking decision support in healthcare delivery, leading to inefficiencies and variability in clinical processes.
Innovation Solution
A system and method utilizing probabilities to schedule activities in a clinical environment, incorporating user interfaces and logic engines to monitor and modify schedules based on personnel, equipment, and location states, estimated task durations, and interdependencies, enabling 'what-if' scenario planning and risk assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If current clinical scheduling systems are used, then schedules can be produced before a day's activities commence, but the system lacks proactive or forward-looking capability and cannot provide anticipatory decision support
Solution Approach 1:
The system performs preliminary analysis of schedule interdependencies and potential delays before the scheduled activities commence. By calculating early start/finish times, late start/finish times, and total float for each task, the system proactively identifies potential scheduling conflicts and provides decision support in advance, rather than merely producing schedules reactively.
Solution Approach 2:
The system establishes feedback loops that continuously monitor task progress and update schedule calculations in real-time. By comparing actual task completion against planned schedules and propagating delays through the network of interdependent tasks, the system provides ongoing proactive decision support throughout the day's activities, not just before they begin.
2Productivity
If schedules are produced before a day's activities commence, then advance planning is achieved, but the system cannot look ahead or provide what-if capability for prospective decision support
Solution Approach 1:
The system transitions from static pre-produced schedules to dynamic schedule management that can adapt during the day. By continuously recalculating early/late times and total float as tasks complete or are delayed, the system maintains an up-to-date view of schedule interdependencies, enabling prospective decision support and what-if analysis throughout the day rather than relying solely on static advance planning.
3Measurement precision
If current scheduling systems display process status with trending and alarm functionality, then monitoring capability is provided, but the system lacks integration of variation, staff and equipment preferences, interdependencies, and information flow
Solution Approach 1:
The system merges multiple previously separate functions into an integrated schedule management system. By combining task scheduling, interdependency analysis, resource preference integration, variation modeling, and decision support into a unified network-based framework, the system achieves comprehensive process monitoring while managing complexity through integrated rather than separate components.
Solution Approach 2:
The system creates a universal scheduling framework that handles multiple functions through a common mechanism. The network of tasks with associated early/late times and total float calculations serves as a universal structure that simultaneously manages scheduling, monitoring, interdependency analysis, and decision support across diverse clinical activities, staff preferences, and equipment constraints.
Data Source
AI summary
A system and method for use in managing and preparing for scheduled procedures that are characterized as being interdependent and variable. The disclosed method enables schedule risk management and provides a look-ahead capability along with process diagnostics to isolate specific assets and tasks that can be managed to reduce schedule risk. The method facilitates review of upcoming tasks by the process stakeholders for education as to where the schedule risks reside and in an emulation mode for review and improved scheduling going forward. Clinical workflow is integrated such that process stakeholders and assets are directed in such a way as to keep on, reduce delay risk or recover the schedule.