Automated Medication Safety Screening System
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Solution Overview
Problem
The administration of medications in healthcare settings is hindered by high rates of adverse drug reactions due to inadequate or incomplete patient information, leading to procedural errors and inefficiencies in cross-checking for drug interactions and allergies.
Innovation Solution
A computing system that compares a list of medications to be administered with a patient's electronic medical record to preemptively determine potential atypical clinical events, such as drug-drug interactions, drug-allergy reactions, and drug-gene interactions, providing alerts and allowing clinicians to select alternative medications to reduce risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If healthcare workers manually cross-check medication lists with patient medical records and pharmacological information, then they can identify drug-drug interactions and allergies, but the process is time-consuming and subject to human error
Solution Approach 1:
The patent replaces the manual mechanical process of cross-checking medication lists with an automated computer system. The system electronically compares the medication list against the patient's medical record and pharmacological database, eliminating human error and time consumption while maintaining high accuracy in detecting adverse drug reactions.
Solution Approach 2:
The system performs self-service by automatically retrieving patient information from the medical record, comparing it with the medication list, and generating alerts without requiring healthcare workers to manually perform these tasks. This automation frees up professional time while maintaining reliable detection capabilities.
2Reliability
If healthcare workers manually review patient medical records and pharmacological information for each medication candidate, then they can ensure patient safety, but efficiency in medication administration is reduced
Solution Approach 1:
The system performs preliminary action by pre-comparing the medication list against the patient's medical record and pharmacological database before the actual medication administration occurs. This advance screening identifies potential adverse reactions in advance, allowing safe and efficient medication selection without requiring manual review during the administration process.
Solution Approach 2:
The manual review process is replaced with an automated computer-based system that instantly compares medication candidates with patient history and pharmacological data. This substitution maintains comprehensive safety checking while dramatically improving the speed and efficiency of medication administration.
3Reliability
If the cross-checking process includes multiple drugs as candidates, then comprehensive safety can be ensured, but the complexity of the process increases
Solution Approach 1:
The patent merges multiple cross-checking operations into a single integrated computer process. The system simultaneously compares all medication candidates against the patient's medical record and pharmacological database in one unified operation, rather than requiring separate manual checks for each drug. This consolidation maintains comprehensive safety coverage while reducing process complexity.
Solution Approach 2:
The computer system provides universal functionality by handling all types of safety checks (drug-drug interactions, allergies, contraindications) through a single integrated platform. This multi-functional approach replaces multiple separate manual processes, maintaining comprehensive safety coverage while simplifying the overall workflow.
Data Source
AI summary
Systems and methods provide for the preemptive determination of the potential of atypical clinical event occurrence related to administering of medications to a person. One method involves receiving a list of possible medications that may be administered to the person during a medical procedure. Subsequently, the medication list is compared to information in the person's medical record. Based on this comparison, a determination is made as to whether one or more matches exist between any of the medications included in the list and the medical record information, the match relating to the potential of an atypical clinical event occurring if the associated medication were to be administered to the person. If a match in fact exists, a response is outputted relating to each match.