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Self-Adaptive Mobile Software Agent for Dynamic Provisioning of Virtual Electronic Medical Records On Demand

IP.com Disclosure Number: IPCOM000194880D
Publication Date: 2010-Apr-12
Document File: 9 page(s) / 52K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed invention is a novel architecture and desgin of Self-Adaptive Mobile Software Agent that roams in a distributed or Cloud computing environment for provisioning a fully integrated medical record for a patient in a real time on demand in compliance with the statutory requirements for protection of personal privacy. Ability for healthcare providers to access the integrated personal health record (PHR) or electronic medical records (EHR) is essential for accurate diagnoses and effective treatments. However, there are three challenges: (1) compliance to privacy laws, (2) accessibility to highly dimensional heterogeneous data, and (3) performance issues associated with large volume of image data and network latency. This invention addresses the privacy issues associated with sharing EMRs with healthcare professionals or medical researchers and the performance issues associated with sharing large volume EMRs across the network (local area network, wide area network, metropolitan area network, intranet, the Internet, wireless network), by introducing a self-adaptable mobile software agent that roams in a distributed environment or a Cloud Computing infrastructure.

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Self-Adaptive Mobile Software Agent for Dynamic Provisioning of Virtual Electronic Medical Records On Demand

Disclosed is an architecture and design for an adaptive mobile software agent. An embodiment of the disclosed adaptive mobile software agent roams in a distributed environment or a cloud-computing environment providing a capability to provision a fully integrated medical record for a patient, in real time, on demand, in compliance with statutory personal privacy requirements.

A capability for healthcare providers to access integrated personal health records (PHR) or electronic medical records (EMR) is essential for accurate diagnoses and effective treatments. However, there are typically challenges in the provision of the capability including compliance with privacy laws, accessibility of highly dimensional heterogeneous data, and performance issues associated with processing a large volume of image data and network latency.

The disclosed architecture and design addresses privacy issues associated with sharing electronic medical records with healthcare

  rofessionals or medical researchers. The disclosed architecture and design further provides a capability to address performanceissues associated with sharing a large volume of electronic medical records across a network, such as a local area network, wide area network, metropolitan area network, intranet, the Internet, or wireless network, by introducing a self-adapting mobile softwareagent that roams in a distributed environment or a cloud computing infrastructure.

An inability for healthcare providers to access personal health records or electronic medical records is attributed to the elevation of adverse drug responses (ADR) to become a third leading cause of deaths in North America. Timely access to personal health records and electronic medical records for healthcare providers is critical for provisioning sustainable patient care with high accuracy of diagnoses and high efficacy of treatments. However, there are challenges to timely access.

First, electronic medical records are subject to the statutory requirements for protection of privacy because the records include

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 ersonal information that is protected by privacy laws, such as HIPAA (Health Insurance Portability and Accountability Act) in United States, PIPEDA (Personal Information Protection and Electronic Documents Act) and FIPPA (Freedom of Information and Protection of Privacy Act) in Canada, and a European Union Privacy Directive in European Union countries.

Second, electronic medical records are multidimensional. The electronic medical records are available in various formats, suchas in unstructured text format, images including audio,

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                              hotography or video, binary strings, and character strings as well as in structured formats such as relational databases, rectangular, tabular, comma-separated variables, sets, and arrays. Because of the variety the electronic medical records must be preprocessed into a cano...