Intelligent Data Management System and Method

Abstract

An intelligent data management system and method are disclosed. The system includes a database of stored data, a middleware layer having access to the stored data, and at least one client device for remotely accessing a provided course of action. The middleware layer includes a fuzzy logic knowledge base for generating, updating, or firing fuzzy logic rules and a fuzzy logic inference engine for processing the stored data guided by the fuzzy logic rules to provide the course of action.

Description

FIELD OF THE INVENTION[0001]The present invention relates generally to electronic databases, and more particularly to a data management system and method.BACKGROUND OF THE INVENTION[0002]Today, faced with an increasingly mobile population, global accessibility to healthcare information is becoming increasingly essential. Unfortunately, early electronic approaches to automated medical record systems tended to apply industrial engineering concepts to understanding and automating the flow of healthcare data, with the expectant failures.[0003]It has been envisioned that the future patient record will be that of a multimedia record capable of including text, high-resolution images, sound, and full-motion video. These systems, which have come to be known as Computer-Based Patient Record (CPR) systems, will ultimately be expected to offer improved access, quality, security, flexibility, connectivity, and efficiency.[0004]CPR systems are used to maintain patient records such as histories, r...

AI Technical Summary

Benefits of technology

[0012]By generating fuzzy rules for capturing expert knowledge, rules can be later updated based on feedback from the system, and without having to change the inference engine programming code. By using hand-held client devices, the system provides mobile data management for medical care units, and enables efficiencies in patient treatment, cost efficiencies, paper-work reduction, resource allocation and utilization management, error minimization, and clinical research and data mining capabilities.

[0013]By providing an intelligent system capable of assisting in accurate diagnosis and treatment, the system provides timely information through the use of a wireless hand-held client device to cost-effectively deliver global accessibility to patient records. The system further provides near real-time information to aid in the making of clinical decisions, and streamlines the clinical process to improve decision-making quality to facilitate medical procedures, speed up processing times, and eliminate paper-related errors.

Problems solved by technology

Unfortunately, early electronic approaches to automated medical record systems tended to apply industrial engineering concepts to understanding and automating the flow of healthcare data, with the expectant failures.

However, existing knowledge bases are so inherently tied to their inference engines that they lack flexibility.

The problem is that IF-THEN statements are too rigid.

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