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DataWeaver: An Interface to Complex Clinical Data

Award Information

Agency:
Department of Health and Human Services
Branch:
N/A
Award ID:
76065
Program Year/Program:
2005 / SBIR
Agency Tracking Number:
HD047106
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
MEDICAL DECISION LOGIC, INC.
MEDICAL DECISION LOGIC, INC. 1216 E. Baltimore St. BALTIMORE, MD 21202-4725
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: Yes
 
Phase 1
Fiscal Year: 2005
Title: DataWeaver: An Interface to Complex Clinical Data
Agency: HHS
Contract: 1R43HD047106-01A2
Award Amount: $129,199.00
 

Abstract:

DESCRIPTION (provided by applicant): Pediatricians routinely need to make rapid decisions based on large amounts of complex and potentially unreliable data. However, this decision-making process has proved difficult to emulate, or even to support, using software systems. An important feature existing systems lack is a user interface allowing pediatricians to quickly and effectively understand and make use of complex interrelated and time dependent data. This proposal seeks to address this deficiency by using an innovative and patented graphical user interface methodology called "DataWeaver." The basis of the DataWeaver display is a hierarchical structure called a "weave" showing intersections of different types and pieces of data in a readily comprehensible way. The DataWeaver methodology is designed to provide the pediatrician with a complete view of the patient's overall status while supporting rapid access to the underlying detailed information, thus saving clinicians time and increasing the quality of care. Despite the attractiveness of the DataWeaver methodology, it has neither been implemented nor field tested. One reason is that mapping the human-oriented DataWeaver interface to the underlying database and to other components has until recently been deemed infeasible. However, recent advances in software engineering make constructing these mappings currently feasible. Specifically, by using model-driven architecture (MDA) methods to specify various components, such as data sources, decision support rules, and graphical components via an abstract model. This in turn allows much of the system's code to be automatically generated instead of needing to be hand-written, greatly reducing coding time and increasing code reliability. Because of the broad scope and complexity of the field of pediatrics, and because of strong interest from the Pediatrics Department at Johns Hopkins University, sickle cell disease content has been chosen for Phase I testing.

Principal Investigator:

Allen Y. Tien
4108288948
ALLEN@MDLOGIX.COM

Business Contact:

G. Birtwistle
4108288948
DON@MDLOGIX.COM
Small Business Information at Submission:

Medical Decision Logic, Inc.
Medical Decision Logic, Inc. 724 Dulaney Valley Rd, Ste 2 Towson, MD 21204

EIN/Tax ID: 522065265
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No