BLE Beacon EHR Updates for Faster Clinical Decision-Making
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Solution Overview
Problem
Clinicians and patients face challenges in keeping up with rapid growth of health information, leading to gaps between best practices and decisions, resulting in delays, decreased quality of care, increased medical errors, and higher healthcare costs.
Innovation Solution
A system utilizing Bluetooth Low Energy (BLE) beacons to provide proximity-based updates of electronic health records (EHR) to authorized users, ensuring timely and relevant information delivery to clinicians and caregivers via mobile devices, with context-aware provisioning and decision-support communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If clinicians access complete electronic health records to make informed decisions, then decision quality improves, but time available for review decreases due to rapid information arrival rate
Solution Approach 1:
The system segments the complete electronic health record into multiple categories (e.g., diagnostic, therapeutic, monitoring, administrative) and further divides them into priority levels. Only high-priority information is pushed to the clinician's mobile device, while less critical information remains in the full record system. This segmentation allows clinicians to review only the most relevant information quickly without sacrificing decision quality.
Solution Approach 2:
The system performs preliminary sorting and prioritization of health information before it reaches the clinician. By pre-categorizing and ranking information items based on urgency and relevance, the system prepares the information in advance so that when the clinician receives the summary, the most critical items are already highlighted and ready for immediate review, eliminating the need to search through unorganized complete records.
2Loss of information
If the system provides comprehensive health information updates, then information completeness improves, but cognitive load on clinicians increases
Solution Approach 1:
The system divides the comprehensive health information into segmented categories and priority levels, presenting only the most relevant segments to the clinician through the mobile device notification system. This segmentation reduces cognitive load by organizing information in a structured manner rather than presenting it as an unorganized mass of data.
Solution Approach 2:
The system extracts only the most critical and actionable information items from the complete electronic health record and presents them through the mobile device notification system. By taking out only the essential information rather than presenting everything, the system maintains information completeness for decision-making while significantly reducing the cognitive load on the clinician.
3Reliability
If the system delivers detailed patient information, then care quality improves, but productivity of healthcare system decreases due to delays
Solution Approach 1:
The system performs preliminary processing of patient information by automatically categorizing, prioritizing, and summarizing key data points before delivery to the clinician's mobile device. This preliminary action eliminates the need for clinicians to manually search through and process complete records, allowing them to review only essential information quickly and make decisions without delay, thus improving both care quality and productivity.
Solution Approach 2:
The system replaces the mechanical process of manual information review and synthesis with an automated computational system that processes, categorizes, and prioritizes patient information automatically. This substitution eliminates time-consuming manual processing while ensuring high-quality information delivery, thereby improving healthcare productivity without sacrificing care quality.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances clinical decision-making by providing concise, context-associated information, reducing cognitive gaps, and promoting better, more timely healthcare decisions while maintaining privacy and efficiency.
Implementation Method 1
communicating the reference pointer to a user device... a wireless-communications (such as Bluetooth Low Energy or BLE, or Bluetooth 4.0) beacon
Data Source
AI summary
A system, method, and computer-readable media are provided for facilitating clinical decision making, and in particular, decision making based on a third party's clinical situation by determining and providing useful, up-to-date information, such as patient-related information to a decision maker. In one embodiment, a user first identifies an information item concerning a patient. Based on that item, a set of related information items is determined and prioritized, and a reference pointer, which identifies the set of related information, is generated. The reference pointer is communicated to the user's mobile device. Subsequently, the user's mobile device requests information from the set of information items associated with the reference pointer, and provides information authorization information. Following authentication of the user's credentials, updates of information from the set of information items may be communicated to the user's mobile device as they become available.