Maintenance Approval Workflow Using Asset Condition Assessment
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Solution Overview
Problem
Operators of senior living facilities face challenges in maintaining facilities across multiple geographic locations, leading to costly and inefficient maintenance due to the need for hiring external contractors and lack of centralized cost control mechanisms.
Innovation Solution
A system and method for automatically optimizing maintenance using a customizable user interface that assesses asset conditions, schedules repairs, and authorizes replacements based on historical data and resident information, integrating with electronic health records and contractor databases to streamline maintenance processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If external contractors are hired to perform maintenance services, then maintenance quality and reliability are improved, but maintenance costs increase
Solution Approach 1:
The system enables maintenance staff to independently assess asset conditions, retrieve historical data, and make replacement decisions through an automated digital assistant, reducing reliance on external contractors while maintaining maintenance quality
Solution Approach 2:
The system continuously retrieves and analyzes historical maintenance data, asset condition information, and usage patterns to provide data-driven recommendations, improving maintenance decisions and reducing unnecessary contractor interventions
2Loss of energy
If centralized control mechanisms are implemented across multiple facilities, then cost control is improved, but system complexity increases
Solution Approach 1:
The digital assistant system serves multiple facilities and functions through a single unified platform, handling asset assessment, historical data retrieval, replacement recommendations, and approval workflows across the entire organization, reducing the need for separate systems at each facility
Solution Approach 2:
The automated digital assistant acts as an intermediary between maintenance staff and centralized management, providing intelligent recommendations and automating approval processes, which simplifies the overall system architecture while maintaining centralized control
3Productivity
If automated decision-making systems are deployed, then productivity is improved, but measurement precision requirements increase
Solution Approach 1:
The system proactively retrieves historical maintenance data, asset condition information, and usage patterns before maintenance decisions are needed, enabling automated recommendations without requiring real-time data collection during critical decision moments
Solution Approach 2:
The system incorporates approval workflows and thresholds that buffer against potentially inaccurate automated recommendations, allowing human review when data precision may be insufficient while maintaining automated processing for clear-cut cases
Data Source
AI summary
In accordance with some embodiments of the disclosed subject matter, mechanisms (which can, for example, include systems, methods, and media) for maintaining components of a unit are provided. In some embodiments, a method comprises: receiving an indication that a unit is ready to be turned; generating a customized user interface for assessment of the unit based on a template; receiving a request, from a remote computing device, for the user interface; causing the remote device to present the user interface; receiving, via the remote device, input indicating that a component should be replaced; receiving, from the remote device, an image of the component; receiving, from a second remote computing device associated with a designated user, input indicating that replacement of the first component is approved; and causing a notification to be presented via the remote computing device indicating that replacement of the first component is approved.