Context-Aware Service Platform for Healthcare Resource Optimization

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Solution Overview

Problem

In healthcare facilities, the complexity of service-specific systems leads to sub-optimal resource distribution and usage, with issues including multiple infrastructures, non-coordinated human-machine interfaces, and a lack of integration between systems, which can negatively impact clinician experience and technology usability.

Innovation Solution

A system utilizing a context-aware approach with an environmental context processing engine, situational context processing engine, and decision-making engine to transform sensed data into actionable insights for optimizing service provision, adapting communications and workflows based on environmental and situational contexts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If service-specific systems are implemented to address evolving needs, then service delivery capability is improved, but system complexity and infrastructure multiplicity increase

Engineering Contradiction:
Improveservice delivery capabilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal service delivery platform that can handle multiple types of services (clinical, non-clinical, routine, emergency) through a single integrated system. This platform provides common infrastructure for service definition, resource management, and delivery across diverse service types, eliminating the need for separate service-specific systems while maintaining the ability to adapt to evolving needs through configurable service templates and dynamic resource allocation.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If multiple service-specific systems are installed, then service coverage is expanded, but resource distribution efficiency deteriorates

Engineering Contradiction:
Improveservice coverageVSAvoidresource distribution efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent merges previously separate service-specific systems into a single integrated service delivery platform. This consolidation combines infrastructure, resource pools, and management functions into a unified system that can dynamically allocate resources across different service types. The platform uses common hardware and software resources that can be shared and reallocated based on demand, improving resource distribution efficiency while maintaining comprehensive service coverage.

Inventive Principle:
Principle #5Merging (Combining)

3Adaptability or versatility

If service-specific systems are implemented, then specialized service functionality is improved, but integration and coordination between systems deteriorate

Engineering Contradiction:
Improveservice functionalityVSAvoidintegration complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary service delivery platform that acts as a mediator between various service functions and underlying infrastructure. This platform provides standardized interfaces, service templates, and coordination mechanisms that enable different service types to interact through common protocols. The intermediary layer handles integration complexity internally while presenting simplified, coordinated service functionality to users, eliminating the need for direct point-to-point integration between multiple specialized systems.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS8050939B2Methods and systems for use in the provision of services in an institutional setting such as a healthcare facility
Publication Date: 2011.11.01 AVAYA INC
  • US8050939B2 patent drawing
  • US8050939B2 patent drawing
  • US8050939B2 patent drawing

AI summary

A system for more optimally providing a service, such as a communications service, in an institutional setting by use of smart context-aware approaches. The system comprises an environmental context processing engine configured to transform sensed data indicative of activity relevant to provision of said service into data indicative of an environmental context in which said activity is deemed to have occurred; a situational context processing engine configured to transform the data indicative of the environmental context into data indicative of a situational context in which said activity is deemed to have occurred; and a decision making engine configured to apply data indicative of an institutional context to the data indicative of the situational context in order to determine an action to be taken in accordance with provision of said service.