Programmatic Care Decisioning Tool for Automated Clinical Workflows

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Solution Overview

Problem

Current methods for patient care decision-making are cumbersome and prone to errors, particularly in digital-first or in-person clinics, where manual data entry and symptom description processes are time-consuming and may lead to inaccuracies.

Innovation Solution

A programmatic care decisioning tool that utilizes statistical modeling and patient-specific variables to determine care decisions, integrating with electronic health records and other data sources, allowing for automated decision-making without human oversight, with a 'silent operation' mode for regulatory oversight and surveillance to ensure accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual data entry and symptom description processes are used, then patients can provide their medical information, but the process becomes cumbersome and prone to errors

Engineering Contradiction:

Improveaccuracy of patient dataVSAvoidcomplexity of data collection process

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system enables patients to self-report their symptoms and medical history through automated digital interfaces, eliminating the need for manual data entry by healthcare providers. Patients complete electronic forms and questionnaires that automatically populate their medical records, reducing human error while maintaining data collection accuracy.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processes (handwriting, physical form handling) with automated digital systems. Electronic health records are populated through automated data extraction, digital form completion, and algorithmic processing, substituting human manual operations with computerized systems that reduce errors and streamline the process.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated decision-making is implemented, then efficiency and accuracy improve, but regulatory oversight becomes more challenging

Engineering Contradiction:

Improvespeed of care decision-makingVSAvoidcomplexity of regulatory compliance

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system incorporates feedback mechanisms where automated care decisions are continuously monitored, evaluated, and refined. Decision outcomes are tracked and fed back into the system to improve algorithmic accuracy over time, while maintaining regulatory transparency through documented decision trails that show how each care recommendation was generated.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary actions by pre-validating data inputs, pre-checking decision logic against regulatory requirements, and pre-documented decision pathways before actual care decisions are made. This ensures regulatory compliance is built into the system architecture from the outset, simplifying oversight while maintaining high-speed automated operations.

Inventive Principle:

Principle #10Preliminary action

3Measurement precision

If comprehensive data collection is performed, then decision accuracy improves, but time required for data gathering increases

Engineering Contradiction:

Improveprecision of care decisionVSAvoidtime for patient intake

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary data collection and preprocessing before formal care decisions are made. Patient information is gathered in advance through pre-visit questionnaires, automated record retrieval, and preliminary screening tools, so that when the actual care decision is needed, the data is already organized and ready for rapid analysis, maintaining both comprehensiveness and speed.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The data collection process is segmented into multiple independent modules that can operate in parallel. Different data elements (demographics, medical history, current symptoms, medication list) are collected through separate automated channels simultaneously, reducing total data gathering time while ensuring comprehensive information is gathered for precise care decisions.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20240371486A1Methods and systems for programmatic care decisioning

Publication Date: 2024.11.07 MARKIN ZACHARY

AI summary

Systems and methods for programmatic care decisioning are provided. In some aspects, the methods and systems determine one or more care decisioning inputs, one or more care decisioning logics, and one or more care conclusions. Provided are systems and methods for configuring programmatic medical care decisions, monitoring the accuracy of those care decisions when compared to human medical practitioners, and after evidence has accrued that the programmatic care decisions are sufficiently accurate, using that same programmatic logic to make care decisions. The systems and methods may be configured to surveil programmatic care decisions over time as the system is used and compare to traditional human driven decisions to ensure that the system is staying up to date with the current medical state of the art as practiced by human medical practitioners when faced with the same decision inputs.