Clinical Support System for Holistic Patient Analysis
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Solution Overview
Problem
Medical practitioners face challenges in providing holistic care that considers biological, mental, and social aspects of patients, as they struggle to collect and utilize information related to mental and social aspects effectively, which can impact treatment adherence and outcomes.
Innovation Solution
A clinical support system and apparatus that integrates hospital information systems, radiology, medical-image management, and clinical-test information systems to analyze and generate patient characteristic information encompassing biological, mental, and social aspects, using network interfaces, input and display devices, and processing circuitry to support medical decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If medical workers rely on self-effort and experience to communicate with patients, then they can provide personalized care, but they struggle to effectively collect and utilize information related to mental and social aspects
Solution Approach 1:
The patent segments patient information into three distinct categories: biological aspects (medical records, test results), mental aspects (personality traits, emotional states), and social aspects (lifestyle, work environment). This segmentation allows the system to collect and analyze each type of information through appropriate specialized tools while presenting an integrated view to medical workers.
Solution Approach 2:
The patent introduces an AI-based clinical support apparatus as an intermediary between medical workers and patients. This intermediary automatically collects information from multiple sources (HIS, LIS, PACS systems), analyzes mental and social aspects through AI processing, and presents synthesized patient profiles to medical workers, eliminating the need for manual information gathering while maintaining personalized care.
2Loss of information
If medical workers collect comprehensive patient information manually, then they can understand various aspects of patients, but it requires excessive time and effort
Solution Approach 1:
The system performs preliminary actions by automatically collecting patient information from multiple information systems (HIS, LIS, PACS) and pre-analyzing mental and social aspects before medical workers need to review the data. This preliminary processing eliminates the time-consuming manual information gathering phase while ensuring comprehensive data collection.
Solution Approach 2:
The clinical support apparatus performs self-service by autonomously collecting information from connected medical information systems, processing data through AI algorithms to extract mental and social characteristics, and generating patient profiles without requiring medical workers to manually gather or analyze the information.
3Reliability
If medical practice policies are determined only by biological aspects, then treatment decisions are straightforward, but adherence and outcomes may be insufficient
Solution Approach 1:
The patent merges biological, mental, and social aspect analyses into a single integrated patient profile presented through the clinical support apparatus. This combination allows medical workers to determine treatment policies that consider all three dimensions simultaneously, improving treatment adherence and outcomes while presenting a unified rather than fragmented view.
Solution Approach 2:
The clinical support apparatus serves multiple functions: collecting information from various medical systems, analyzing biological aspects through traditional medical data, evaluating mental aspects through AI-based personality and emotional analysis, assessing social aspects through lifestyle and environmental factors, and presenting an integrated patient profile. This multi-functionality enables comprehensive care planning without requiring separate systems for each aspect.
Data Source
AI summary
A clinical support system according to an embodiment includes a clinical support apparatus, which is provided with processing circuitry, and a display device. The processing circuitry configured to acquire patient information related to a patient, interview information showing a response detail of the patient with respect to an interview, and conversation information recording a conversation of the patient; and the processing circuitry configured to generate patient characteristic information showing a mental aspect and a social aspect of the patient by an analyzing process using the patient information, the interview information, and the conversation information. The display device distinguishably displays the mental aspect and the social aspect of the patient based on the patient characteristic information.