Computational Engine for Predicting Medical Outcomes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current medical systems lack an effective mechanism to communicate individualized risks and benefits of diseases and treatments to patients and physicians, leading to uncertain disease management and potential delays in treatment due to apprehension over side-effects and over-treatment.
Innovation Solution
A system and method that employs a computational engine to analyze patient-specific variables and treatment options, providing precise predictions of medical outcomes through a graphical user interface, allowing clinicians to manipulate variables and display risks of complications with and without treatment, facilitating informed decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a doctor verbally communicates individualized risks and benefits to patients, then the patient receives personalized medical information, but the communication is inefficient and difficult to comprehend
Solution Approach 1:
The patent replaces the mechanical system of verbal communication with a computational system that uses software algorithms to calculate and display individualized risk assessments. The system substitutes human doctor-patient verbal explanation with automated computational processing and visual graphical displays, enabling more efficient and comprehensible communication of complex medical risk information.
Solution Approach 2:
The patent employs readily available personal computing devices (smartphones, tablets, computers) that patients already possess. These ubiquitous, easily accessible devices serve as the communication interface, eliminating the need for specialized communication equipment and allowing patients to access their risk information anytime, anywhere, at no additional cost.
2Reliability
If treatment options are delayed due to apprehension over side-effects and over-treatment concerns, then patients can make more informed decisions, but the disease management becomes uncertain and treatment timing is postponed
Solution Approach 1:
The patent performs preliminary risk assessment and treatment outcome prediction before the patient makes a treatment decision. By calculating and displaying individualized risk profiles, potential side effects, and expected treatment benefits in advance, the system enables patients to make informed decisions without delay. The computational engine pre-processes all relevant medical data to provide comprehensive decision-support information upfront.
Solution Approach 2:
The system provides immediate feedback to patients by displaying their individualized risk assessments and treatment predictions in real-time. The graphical user interface presents clear visual comparisons of different treatment options, allowing patients to understand the potential outcomes and make timely decisions. This instant feedback loop eliminates uncertainty and accelerates the treatment decision-making process.
Data Source
AI summary
A system and method for predicting medical outcomes of patients having a variety of diseases, and communicating these predicted outcomes to the patients. The system and method incorporates a plurality of variables and available medical treatments and/or therapies that are available to a patient. All of the variables and treatments are analyzed to predict medical outcomes without treatment, and with each of the plurality of available treatments. The system includes a graphical user interface for inputting the variables and the treatment options. This graphical user interface can comprise a plurality of toggle switches for manipulating each variable as desired. The graphical user interface can display a risk of complication of a disease, both with and without treatment, to a patient, thereby improving communication to the patient and providing healthcare providers and professionals with a procedure and system by which medical outcomes may be predicted and readily communicated to patient.