Portable Device Data Processing for Medical Care Assessments
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Solution Overview
Problem
Current systems lack an efficient method to process and analyze data from portable devices, such as wearable technology, to provide timely and relevant medical care assessments, particularly in integrating activity metrics with clinical data for patient monitoring and therapy adherence.
Innovation Solution
A computer-implemented method that processes portable device data by filtering and selecting relevant prompts for transmission to client devices, using a rules engine to bind attributes and apply rules, generating alerts and outcomes scores, and integrating with Consolidated Clinical Document Architecture (CCDA) data for unified data visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If portable device data is collected and processed to provide timely medical care assessments, then medical care efficacy is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the data processing system into multiple specialized components: a data processing program that analyzes portable device data, a rules engine that applies clinical guidelines, and a prompt selection module that identifies relevant patient actions. This segmentation allows each component to handle specific tasks efficiently, improving assessment accuracy while managing overall system complexity through modular architecture.
Solution Approach 2:
The patent introduces an intermediary processing layer between portable device data collection and clinical decision-making. This intermediary system includes a data processing program that transforms raw portable device data into meaningful clinical insights by applying rules and selecting relevant prompts, thereby improving medical care efficacy without directly increasing the complexity of the underlying data collection devices.
2Measurement precision
If comprehensive portable device data is analyzed, then patient monitoring accuracy is improved, but data processing time increases
Solution Approach 1:
The patent applies partial action by selectively processing only the most relevant portions of portable device data based on clinical needs. The system identifies and focuses on specific data elements that are most critical for patient monitoring, rather than analyzing all available data uniformly. This approach maintains high monitoring accuracy while reducing overall processing time by avoiding unnecessary analysis of less critical data.
Solution Approach 2:
The patent changes processing parameters dynamically based on the characteristics of the portable device data and clinical priorities. The system adjusts which data parameters are processed first, how deeply they are analyzed, and which clinical rules are applied, thereby optimizing the balance between monitoring accuracy and processing time according to specific patient needs and data types.
3Ease of operation
If relevant prompt data is selected and transmitted to client devices, then patient engagement is improved, but data transmission overhead increases
Solution Approach 1:
The patent extracts and transmits only the essential prompt data needed for patient engagement, rather than sending comprehensive clinical information. The system identifies the minimum necessary data elements that will effectively engage patients and prompt them to take appropriate actions, thereby improving patient engagement while minimizing data transmission overhead and energy consumption.
Solution Approach 2:
The patent applies partial action by selecting and transmitting only a subset of available prompt data that is most relevant to patient engagement. Rather than transmitting all possible clinical information and prompts to client devices, the system carefully curates a focused set of prompts that achieve the desired patient engagement outcomes with minimal data transmission requirements.
Data Source
AI summary
A method for processing data in a data processing system, the method comprising: receiving, by the data processing system, portable device data collected by a portable device; determining, by a first data processing program of the data processing system, one or more characteristics of the portable device data; based on the one or more characteristics, selecting, by the data processing system, prompt data for transmission to a client device; and causing, by the data processing system over one or more networks, the prompt data to be transmitted to the client device.