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Purpose |
Integrated platform that can sense new software or equipment within a system, and automatically start tracking it and pulling out relevant metrics and information to build a master system dashboard that is constantly updating and suggesting metric adjustments to iteratively improve accuracy, utilization, turnaround times, or reduce administrative workload. |
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Tag(s) |
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Panel |
Business Facing |
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Define-AI ID |
21100007 |
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Originator |
Melissa Davis |
| Lead | Melissa Davis |
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Panel Chair |
Jeff Chang |
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Panel Reviewers |
Jeff Chang, Alexander Ding, Cohen Dan
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License |
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| Status | Public Comment |
The rate of add-on technologies into health systems has increased exponentially over the last couple of years. We see this not only in healthcare but across industries. Many small companies leverage existing platforms, such as Epic, GE, Cerner, Phillips, and Siemens to run their technologies. Within these larger companies there are often many additional internal inputs added over time. This leads to an unclear understanding of the technologies that are present within a health system, where the redundancies are in technology, and how to accurately export important information for metrics tracking. A tool that could auto-detect all technologies in a system and organize their usage, inputs and outputs would be a useful long term operational advantage for decision makers within that system, in helping to understand and clean data while reducing costs.
A new company has approached the interventional radiology department with a tool that will allow for tracking of cases real time (ie. when the patient enters the room, when the procedure starts and ends, and room downtime). Multiple platforms are already in use within this facility, however the IR director is unclear if the current tools allow for collecting this level of information or not, or if this tool would be novel to the system. With an auto-detection platform in place, the director provides parameters that the new tool would have, to search for existing resources within the system, and finds that there is a similar tool already installed but not yet used. The director then is able to better assess the current platform and make a decision on whether or not to continue to engage with the new company.
The AI tool searches all inputs into the system and identifies the different systems. Then the AI tool evaluates the components of each system and organizes them by type. Informational outputs are identified and mapped/grouped into common types of information/metrics. A dashboard is then created by the system that continuously updates when new systems are onboarded, alerting managers when duplicate systems are in place. Dashboard also alerts managers when a system goes down or needs troubleshooting. Information can be searched via the dashboard, with the creation of charts in a user friendly way.
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Location |
Interventional radiology, procedural suites |
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Procedures |
Catheter placement, biopsy, embolization, thrombectomy, stent placement, drain placement |
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Patient |
In room, out of room, on procedure table, off procedure table |
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Staff |
In room, out of room, cleaning, in procedure |
Radiologist Report
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Procedure: |
Catheter placement, biopsy, embolization, thrombectomy, stent placement, drain placement |
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Data Type |
Machine type, modality, date, time, specified metrics (ie. dose, procedure time, dictation time, start study, end study.) |
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Modality |
Interventional radiology |
Status of technology
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Definition |
Status of technology |
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Data Type |
Categorical |
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Value Set |
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System redundancy
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Definition |
System redundancy |
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Data Type |
Categorical |
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Value Set |
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Procedure start time
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Definition |
Time that the procedure started |
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Data Type |
Numeric |
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Value Set |
N/A |
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Units |
Date/Time |
Procedure complete time
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Definition |
Time that the procedure was completed |
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Data Type |
Numeric |
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Value Set |
N/A |
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Units |
Date/Time |
Final dictation
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Definition |
Time that the dictation was finalized |
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Data Type |
Numeric |
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Value Set |
N/A |
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Units |
Date/Time |
Patient wait time
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Definition |
Time between check-in and entering the procedure room |
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Data Type |
Numeric |
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Value Set |
N/A |
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Units |
mins |