Patient Medical Condition Overview System
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Solution Overview
Problem
Existing patient medical record management systems fail to automatically associate financial and clinical diagnoses, requiring repetitive entry of clinical diagnoses for long-term conditions like diabetes and cancer, and lack a unified view of both long-term and short-term medical conditions across multiple visits.
Innovation Solution
A system that automatically converts financial diagnosis codes into clinical terminology, associates clinical diagnoses with patients persistently across multiple visits, and provides a unified overview of long-term and short-term medical conditions, using a designation processor, repository, and user interface to generate a composite display image window.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If financial diagnosis codes are re-entered for each visit, then financial reimbursement requirements are met, but clinicians bear repetitive entry burden and time is lost
Solution Approach 1:
The system performs preliminary action by automatically carrying forward the financial diagnosis code from the initial visit to subsequent visits. The processor retrieves the previously entered diagnosis code and populates it in the encounter record without requiring clinician re-entry, thus meeting financial reimbursement requirements while eliminating repetitive data entry burden.
2Ease of operation
If clinical diagnosis is re-entered for each visit, then visit-specific records are complete, but long-term conditions are not persistently associated with the patient
Solution Approach 1:
The system merges the visit-specific encounter record with the patient's lifetime medical history by automatically associating the financial diagnosis code with the patient's persistent condition profile. This integration ensures that both visit-specific documentation requirements are met and long-term condition history is maintained across all encounters.
3Device complexity
If financial and clinical diagnoses are kept separate, then financial processing is simplified, but a bridge between financial and clinical perspectives is lost
Solution Approach 1:
The system uses the financial diagnosis code as an intermediary that bridges both financial and clinical perspectives. The processor automatically maps the financial diagnosis code to both the encounter record for billing purposes and the patient's clinical condition profile, thereby maintaining financial processing simplicity while simultaneously preserving the contextual linkage between financial and clinical diagnoses.
Data Source
AI summary
A system provides an overview of patient medical condition identifying both long term and short term medical conditions. The system includes a designation processor for designating an identified patient medical condition as being long term in response to user command. At least one repository stores information associating a designated long term patient medical condition with a patient and with multiple encounter identifiers identifying corresponding interactions of the patient with a healthcare provider organization and medical conditions associated with the encounters. A user interface initiates generation of data representing a composite display image window including data identifying a designated long term patient medical condition together with encounters and medical conditions associated with the encounters providing a user an overview of long term and short term medical conditions of a patient.