Intent to Sole Source Best Approximating Models (BAM) for Mathematical and Statistical Analysis

This intent to sole source announcement is posted in accordance with FAR 5.2Â - Synopses of Proposed Contract Actions.

Background Compute Best Approximating Models (BAM) estimates of causal associations between the presence of health professions trainees and clinical workload produced in VA teaching care settings. Such associations are necessary for (OAA) to compute health professions trainees contribution to workload required to compute academic performance metrics needed to determine VA s performance in its education mission. Unique Qualifications Professor Steven Henley of Martingale Research Corporation is the only entity: (1) with the data and analytic skills and experience, as evidenced by a substantial peer reviewed scientific publication record, in applying causal modeling in health professions education and (2) has developed and tested software to compute the 12-step Best Approximating Models technology as evidenced by being a National Institute of Health s Small Business Innovation Research program awardee, who can efficiently within the limited budget amount and within the six-month time frame specify, estimate, and assess the statistical performance of four models needed to estimate physician residents/fellows contributed outpatient care workload by program specialty from de-identified VA CDW files. . Award information - Solicitation No. 36C24526Q0323 will be presented to the contractor in accordance with the sole source authority at FAR 6.302-1 as a firm-fixed-price contract. The Government anticipates the solicitation response and Independent Cost Estimate to be comparable with the follow-on contract to justify fair and reasonable

pricing. The

period of performance shall be for one base year following date of award. Not to exceed 12 months. If anyone requests additional information or would like to obtain a copy of the solicitation, please contact: Robert O Keefe Jr. [email protected] Robert O'Keefe Jr.