Electronic Patient-Care System with Automated Medication Verification
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Solution Overview
Problem
Current patient care systems face challenges in efficiently ordering and administering medications due to miscommunication, incomplete information access, and inefficient procedures, leading to medication errors and delays, particularly with infusion pumps where user errors result in significant harm.
Innovation Solution
An electronic patient-care system comprising a monitoring client and a patient-care device that communicates through a hub, utilizing a sandbox component to control access to hardware and software resources, and includes features like RFID tagging, barcode scanning, and alerts for medication verification and infusion management, minimizing user input and preventing errors by verifying medication and patient parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual medication ordering and administration processes are used, then healthcare providers have flexibility in decision-making, but medication errors and delays increase due to miscommunication and incomplete information access
Solution Approach 1:
The patent introduces an intermediary system comprising a monitoring client, hub, and patient-care device that mediates between healthcare providers and medication administration processes. This intermediary automatically verifies medication orders against patient parameters, checks for drug interactions, and provides alerts, thereby reducing medication errors without completely automating the decision-making process and maintaining provider flexibility.
Solution Approach 2:
The system implements feedback mechanisms where the monitoring client continuously receives patient condition data from sensors, compares it against ordered medication parameters, and provides real-time feedback through alerts and notifications. This feedback loop ensures medication administration accuracy by immediately highlighting discrepancies or potential errors while allowing providers to adjust decisions based on the information.
2Reliability
If automated verification systems are implemented to reduce medication errors, then medication administration accuracy improves, but user input requirements and system complexity increase
Solution Approach 1:
The monitoring client is configured to automatically perform verification tasks including checking patient identifiers, comparing ordered medications against patient allergies and current medications, verifying infusion parameters, and detecting potential drug interactions. The system serves itself by automatically gathering patient data from connected devices and databases, eliminating the need for manual verification steps and reducing user input requirements while maintaining high verification accuracy.
3Reliability
If comprehensive patient parameter monitoring is performed to prevent medication errors, then medication administration safety improves, but information processing time and system complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-configuring patient profiles with medical history, allergies, and current medications in the database before medication administration. Patient monitoring parameters and alert thresholds are pre-established. When a medication order is placed, the system quickly matches it against pre-prepared patient data and predefined safety criteria, significantly reducing information processing time while maintaining comprehensive safety checks.
Data Source
AI summary
An electronic patient monitoring system includes first and second modules. The first module is configured to receive and store information pertaining to a patient, said information including data related to a first parameter of the patient measured by a device connected to the patient, and data related to a second parameter of the patient received from a first database containing information about the patient. The second module is configured to receive a medication order from a user via a user interface associated with the second module, said second module being further configured to transmit said treatment order to the first module.