Medical Information Network Decision Support System

In order to facilitate a more rapid and systematic transfer of new medical knowledge and capabilities into mainstream clinical practice, a new Medical Information Network Decision Support (MINDS) system has been proposed. This system is intended to be a platform for storing and fusing medical data across all levels (e.g. from low-level genomic and proteomic data to higher level clinical data) in a standardized way.

The general software framework upon which the decision support architecture is built is a modular system that provides the ability to interface MINDS with other systems and tools. Each module may consist of several individual packages that can be included to form a particular application. Modules are reused among applications that have similar functions. The modules of the system are utilized within an application flow diagram that can be utilized in fusing data sources and generating appropriate data models.

The system architecture will support an initial prototype of both a research tool (used to support development models) and a support tool (used to provide decision support summaries to doctors). The modularity of the system is further enhanced by the definition of different software layers that allow higher level processing to be isolated from the lower level messaging and network interface protocols. This has the advantage of allowing the system to be more easily connected to other systems that may utilize different communications or messaging protocols without having to modify the basic data processing elements.

This work was done by H.K. (John) Armenian of TechFinity, Inc. for the Army Medical Research and Materiel Command. ARL-0058



This Brief includes a Technical Support Package (TSP).
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MINDS - Medical Information Network Decision Support System

(reference ARL-0058) is currently available for download from the TSP library.

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Defense Tech Briefs Magazine

This article first appeared in the October, 2009 issue of Defense Tech Briefs Magazine (Vol. 3 No. 5).

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Overview

The document outlines the progress and objectives of the Medical Information Network Decision Support (MINDS) system, a proposed platform aimed at enhancing clinical decision-making in the medical field, particularly for breast cancer diagnosis and treatment. The MINDS system is designed to integrate and standardize various levels of medical data, from genomic and proteomic information to clinical data, facilitating a more systematic transfer of new medical knowledge into mainstream practice.

The project was initially envisioned as a three-year research initiative with a total funding goal of $10 million from congressional sources between 2006 and 2008. However, due to budgetary constraints, only $2 million has been secured to date, with approximately $850,000 allocated to TechFinity. This funding limitation has necessitated a scaling back of the project's original scope, focusing on a more targeted research program.

Key objectives of the MINDS project include the development of a robust system architecture and software framework that enhances interoperability among existing research technologies in breast cancer research. The project aims to identify and collaborate with research labs that possess advanced technologies relevant to breast cancer diagnostics and treatment, integrating their capabilities into a cohesive decision support framework.

The document details four primary tasks outlined in the MINDS contract. Task 1 focuses on enhancing clinical decision support initiatives by summarizing the current status of health information technology (HIT) and clinical decision support (CDS) tools relevant to the MINDS system. This includes evaluating existing standards and protocols in the medical industry to determine their applicability to the project.

The ultimate goal of the MINDS system is to provide probabilistic diagnostic and treatment models that can assist healthcare professionals in understanding and treating diseases more effectively. By leveraging advanced research techniques and integrating various data types, the MINDS system aims to facilitate a rapid introduction of the latest medical knowledge into clinical practice, thereby improving patient outcomes.

In summary, the MINDS project represents a significant effort to harness technology and data integration in the medical field, with a specific focus on breast cancer, while navigating the challenges of funding and resource allocation.