ePCR Template Layering for Faster, More Accurate EMS Charting
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Solution Overview
Problem
Existing electronic medical record systems require time-consuming and error-prone manual entry of patient charting information during emergency medical events, which can divert resources from patient care and compromise data accuracy.
Innovation Solution
A system that automatically populates electronic patient care report (ePCR) forms using pre-configured templates with predetermined values, applying selection rules to expedite charting by identifying non-overlapping and overlapping fields, and providing user prompts for single-use fields.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual entry of patient charting information is used, then comprehensive data capture is achieved, but time consumption increases and error rate increases
Solution Approach 1:
The system pre-configures ePCR forms with templates containing predetermined values for various data fields. When a caregiver selects a template, the system automatically populates corresponding fields with pre-filled data, eliminating the need for manual entry of routine information and reducing both time consumption and errors.
Solution Approach 2:
The system creates and manages reusable ePCR templates that can be copied and applied across multiple patient encounters. These templates store standardized data patterns that can be rapidly deployed, allowing caregivers to generate accurate records without manually entering each field from scratch.
2Reliability
If complete patient charting information is required, then care quality is improved, but complexity of data entry increases
Solution Approach 1:
The ePCR form is divided into multiple selectable templates, each representing a different type of emergency call or patient condition. Caregivers can select and apply relevant templates individually, breaking down the complex task of completing entire forms into manageable, targeted segments that reduce cognitive load and entry complexity.
Solution Approach 2:
The system designs templates with universal applicability across different emergency scenarios. A single template can serve multiple purposes by populating various fields relevant to different patient conditions, reducing the number of separate data entry processes needed while maintaining comprehensive documentation.
3Productivity
If multiple templates are layered, then population coverage is improved, but field overlap complexity increases
Solution Approach 1:
The system introduces an intermediary processing layer that automatically detects and resolves overlaps between multiple layered templates. This mediator identifies conflicting field values and applies resolution rules to determine which template's data takes precedence, eliminating manual conflict resolution while maintaining the benefits of multiple templates.
Solution Approach 2:
The system provides feedback mechanisms that monitor template layering and population progress in real-time. When overlaps are detected, the system can alert caregivers or automatically adjust population based on predefined rules, ensuring data consistency while managing the complexity of multi-template operations.
Data Source
AI summary
A system for automatically expediting charting for an emergency medical services event includes databases with a pre-configured ePCR form including fillable fields and a first and a second ePCR template, the first and second templates specifying pre-determined values for first and second fillable field subsets and a computing device, configured to communicatively couple to the databases, that includes a user interface, a memory, and a processor configured to receive a request to generate an ePCR, access the pre-configured ePCR form, receive selections of the first and second ePCR templates, automatically populate at least portions of the fillable fields based on the templates by identifying non-overlapping fields and overlapping fields in the subsets of fillable fields, populating the non-overlapping fields with the pre-determined values, and populating the overlapping fields with the pre-determined values according to selection rules, and generate the ePCR based on the automatic population of the fillable fields.