Dynamic Clinical Order Generation for Complex Patient Conditions
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Solution Overview
Problem
Conventional physician order entry systems are inefficient and prone to overlooking underlying conditions for patients with multiple clinical problems, as they do not automatically present a comprehensive list of orderable services based on a patient's complex medical situation.
Innovation Solution
A system and method that dynamically generates a list of selectable medical services by combining items related to multiple conditions, using a clinical knowledge model to identify associated services and alert the user to potential omissions, thereby organizing services in a clinically relevant hierarchy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional physician order entry systems present a comprehensive list of all orderable services, then completeness of service coverage is improved, but the complexity and time required to navigate the system increases
Solution Approach 1:
The system segments the comprehensive list of orderable services into condition-specific subsets. When a patient is identified with multiple clinical conditions, the system automatically divides the service list into relevant groups based on each condition, allowing physicians to navigate only the pertinent sections rather than a monolithic comprehensive list.
Solution Approach 2:
The system performs preliminary action by automatically generating and organizing the filtered service list before the physician arrives. The system proactively identifies the patient's conditions, retrieves associated orderable services, and structures them in a condition-based hierarchy, eliminating the need for the physician to manually filter or navigate through all available services.
2Ease of operation
If conventional systems use fixed order sets for single conditions, then ease of ordering for simple cases is improved, but efficiency for complex patients with multiple conditions deteriorates
Solution Approach 1:
The system transitions from static, condition-specific order sets to a dynamic framework that automatically adapts to the patient's clinical picture. When a patient has multiple conditions, the system dynamically combines and merges the relevant order sets, automatically resolving conflicts and duplications to create a unified, optimized service list tailored to the specific combination of conditions.
Solution Approach 2:
The system merges multiple condition-specific order sets into a single integrated list for complex patients. It combines the services associated with each diagnosed condition, automatically eliminates duplicates, and resolves conflicts by applying clinical logic and hierarchy rules, allowing physicians to review a consolidated list rather than piecing together multiple separate order sets.
3Adaptability or versatility
If physicians manually piece together orders for complex patients, then flexibility in selecting services is improved, but time consumption and risk of omission increase
Solution Approach 1:
The system performs self-service by automatically generating the personalized service list based on the patient's conditions. It autonomously retrieves condition-specific services, merges them according to clinical logic, and presents the consolidated list to the physician, eliminating the time-consuming manual process of piecing together orders while preserving physician flexibility in reviewing and selecting services.
Solution Approach 2:
The system incorporates feedback mechanisms to ensure completeness and accuracy. It automatically cross-references the generated service list against the patient's conditions and clinical guidelines, providing alerts or reminders if services appear to be missing or inappropriate, thereby reducing the risk of omission while maintaining flexibility.
Data Source
AI summary
A system and method for ordering healthcare services wherein a list of selectable orders for medical services for a given patient is dynamically generated based on medical information of the patient (e.g., the patient's condition or set of conditions) and presented to a user (e.g., a physician). In one aspect, a system for ordering patient specific healthcare services comprises a user interface that enables a user to input a medical condition of a patient and to select desired medical services from a list of orderable medical services presented to the user; a services database comprising a plurality of predetermined medical services that are each associated with a medical condition; and an engine for compiling the list of orderable medical services from one or more predetermined medical services in the services database that are associated with the input medical conditions of the patient. A clinical knowledge model is used by the engine to identify a medical condition that is potentially associated with a known or identified medical condition of the patient, based upon potential etiology, potential complication, clinical associations, or any combination thereof.