Dose Order Data Exchange Using an EMR-to-Pharmacy Intermediary
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The exchange of healthcare information between independent systems often relies on manual intervention, leading to errors and delays, particularly in dose order processing, due to the lack of standardized data formats and unique semantics, which complicates data exchange and increases the risk of transcription errors.
Innovation Solution
An automated healthcare information exchange system that uses a platform interface module to identify and parse healthcare information data streams, generating a standardized intermediate format in a staging table, which is then transformed into a specific format for different dose fulfillment clients, reducing the need for human intervention and enabling seamless data exchange between EMR systems and pharmacy systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual intervention is used to exchange healthcare information between independent systems, then the systems can operate independently with their own data formats, but the process becomes slow and error-prone due to manual transcription
Solution Approach 1:
The patent introduces an intermediary component (interface module or translation service) that sits between independent healthcare systems. This intermediary automatically translates and transforms data between different system formats without requiring manual intervention, thus maintaining system independence while dramatically improving information exchange speed and accuracy.
Solution Approach 2:
The patent replaces the mechanical manual transcription process with an automated computer-based system. Software agents, interface modules, or translation services automatically extract, transform, and load data between systems, eliminating the need for human operators to manually copy and paste information, thereby increasing productivity and reducing errors.
2Reliability
If manual transcription is used to transfer dose order information from EMR to pharmacy systems, then system independence is maintained, but transcription errors and delays increase
Solution Approach 1:
The patent replaces manual transcription with automated data extraction and transformation processes. Interface modules or translation services automatically capture dose order information from the EMR system and transfer it to the pharmacy system, eliminating human error and significantly reducing the time required for order fulfillment.
Solution Approach 2:
The patent implements continuous automated data exchange between systems rather than intermittent manual transfers. The interface module or translation service operates continuously to monitor, extract, and transfer dose order information in real-time or near-real-time, ensuring uninterrupted workflow and reducing fulfillment delays.
3Productivity
If standardized data formats are implemented across all healthcare systems, then data exchange becomes automated and efficient, but system flexibility and independence are reduced
Solution Approach 1:
The patent uses an intermediary layer (interface module or translation service) that enables automated data exchange without requiring all systems to adopt a single standardized format. The intermediary translates between different system-specific formats, allowing each system to maintain its independence and flexibility while still achieving efficient automated information exchange.
Solution Approach 2:
The patent creates a universal interface or translation layer that can handle multiple different data formats and system protocols. This multi-functional intermediary can adapt to various source and target systems, enabling automated exchange across diverse platforms without forcing standardization on any single system.
4Ease of operation
If human users manually input dose order information into pharmacy systems, then data accuracy can be verified, but the process is slow and labor-intensive
Solution Approach 1:
The patent replaces manual data entry operations with automated extraction and transformation processes. Interface modules or translation services automatically capture dose order information from the EMR and populate the pharmacy system, eliminating the need for pharmacists or technicians to manually type information, thereby simplifying the process and increasing processing speed.
Solution Approach 2:
The patent implements self-service automation where the system automatically performs data extraction, validation, transformation, and loading without requiring human operators. The interface module or translation service autonomously handles the entire data exchange process, reducing labor requirements and increasing throughput.
Data Source
AI summary
An automated healthcare information exchange is disclosed herein. The healthcare information comprises one or more dose orders corresponding to dose medications to be administered to a patient. The healthcare information may be received (e.g., from an EMR system such as a hospital information system (HIS) or the like) in the form of a healthcare information data stream. The information may then be standardized in to a standardized intermediate form. For instance, data may be parsed from the data stream and used to populate a staging table. In turn, data from the staging table may be transformed into an input format specific to a given dose fulfillment client to which the dose order is provided for fulfillment of the dose. Additionally, exception processing. logistical processing, and management functionality may be applied to the dose orders.