Medical Implant Data Processing System for Patient-Specific Device Selection
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Solution Overview
Problem
Preoperative patients face challenges in making informed decisions about medical implant devices due to limited access to technology-specific information, post-operation expectations, and first-hand recovery experiences, leading to sub-optimal communication between surgeons and patients.
Innovation Solution
A method and system that processes medical implant device data by storing lists of devices, assigning device-variables, and connecting clients with servers to transmit queries and receive data inputs, generating personalized lists of suitable medical implant devices based on patient-specific criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If health professionals provide preoperative patients with comprehensive technology-specific questions and post-operation expectations, then patient information completeness is improved, but time consumption and professional burden increase
Solution Approach 1:
The system enables patients to self-educate by providing them with direct access to comprehensive medical implant device information, technology-specific questions, and post-operation expectations through the platform. Patients actively retrieve and process information about devices, procedures, and recovery without requiring continuous professional guidance, thereby reducing the time burden on health professionals while maintaining information completeness.
Solution Approach 2:
The system performs preliminary information gathering and processing by collecting patient-specific data (health status, risk factors, goals) before the surgical consultation. This pre-processing enables the system to pre-filter and personalize device information, allowing health professionals to focus on higher-value discussions rather than basic information provision.
2Loss of information
If health professionals provide detailed preoperative guidance to patients, then patient decision-making quality is improved, but communication duration and professional workload increase
Solution Approach 1:
The platform enables patients to independently access and process detailed information about medical implant devices, procedures, and recovery expectations. Patients can self-educate using the system's resources without requiring extended professional communication, thereby maintaining high decision-making information quality while reducing communication duration.
Solution Approach 2:
The system acts as an intermediary between health professionals and patients, providing a structured information delivery mechanism that bridges the communication gap. The platform processes and presents complex medical information in an organized manner, reducing the need for lengthy direct professional-patient discussions.
3Loss of information
If communication between surgeons and post-operative patients is extended, then patient satisfaction and recovery information quality are improved, but time resources are consumed
Solution Approach 1:
The system enables post-operative patients to access recovery information and surgical outcome data independently through the platform. Patients can retrieve detailed information about their specific procedures, recovery expectations, and surgical outcomes without requiring extended communication with surgeons, thereby improving information quality while conserving time resources.
4Adaptability or versatility
If comprehensive medical implant device options are presented to patients, then patient choice and informed decision-making are improved, but device complexity and selection difficulty increase
Solution Approach 1:
The system applies local quality by tailoring device information and options to each patient's specific characteristics, including health status, risk factors, and personal goals. Rather than presenting all available devices uniformly, the platform customizes the device list and information depth based on individual patient needs, making the selection process more manageable while maintaining comprehensive options.
Solution Approach 2:
The system dynamically adjusts the presentation of device parameters and characteristics based on patient-specific criteria. By filtering and ranking device options according to patient health status, risk factors, and goals, the system transforms the complex selection problem into a more manageable process while preserving the full range of adaptable device options.
Data Source
AI summary
A method of processing medical implant device data for preoperative patients, the method including storing, by a computer memory, a first list of medical implant devices. The method assigning, by a processor in communication with the computer memory, one or more device-variables to each of the plurality of medical implant devices, and storing, by the computer memory, one or more queries assigned to the one or more device-variables. Further, connecting a client computer with the processor and transmitting to the client computer the one or more queries. Receiving, by the processor, one or more data inputs from the client computer in response to the one or more queries. Generating, by the processor, a second list of medical implant devices as a function of the one or more data inputs received, and transmitting the second list of medical implant devices to the client computer.