Automated Support of Robotic Surgical Training, Operations, and Outcomes

Award Information
Agency: Department of Defense
Branch: Army
Contract: W81XWH-11-C-0010
Agency Tracking Number: A10A-029-0031
Amount: $99,913.00
Phase: Phase I
Program: STTR
Awards Year: 2011
Solicitation Year: 2010
Solicitation Topic Code: A10A-T029
Solicitation Number: 2010.A
Small Business Information
1533 Magnolia Way West, Seattle, WA, 98199-8102
DUNS: 828052568
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Thomas Lendvay
 Assistant Professor, Pediatric Urol
 (206) 987-1461
Business Contact
 Aylin Kim
Title: CEO'
Phone: (602) 373-3708
Research Institution
 University of Washington
 Lynne Chronister
 Director, Office of Sponsored
4333 Brooklyn Ave., N.E
Seattle, WA, 98105-
 (206) 543-4043
 Nonprofit college or university
Background: Surgical error reduction requires addressing rapid adoption of new surgical technology. We propose development of a networked surgical assessment platform able to collect performance and outcomes data from multiple surgical platforms and sites for dynamic metrics analysis. Goal: Provide surgical signature ("Surgome") of each surgeon by delivering automated performance feedback to accelerate learning curves and deriving summative and statistically valid trends in data for comparative effectiveness of new technologies. Task 1: Algorithm Development Deliverables: 1) Documentation and implementation to mathematically define metrics for rating evaluation algorithms. 2) Validation of machine learning algorithm (Autoregressive Dynamic Bayesian Network) within framework. 3) Prototype software applying this algorithm to existing surgical performance datasets. Task 2:Server Design and Implementation Deliverables: 1) On-line server running open-source operating system and database engine for storing performance data. 2) Importing and generation of full metadata for three datasets. 3) Preliminary dynamic metrics analysis software able to compute performance scores from new surgical performance data sets.

* Information listed above is at the time of submission. *

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