36C25220Q0504-000.docx
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- 7030-- Clinical Pathogen Surveillance System Federal contract opportunity
- Solicitation number
- 36C25220Q0504
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This document is a presolicitation notice for a clinical pathogen surveillance system. The Department of Veterans Affairs Veterans Health Administration Veterans Integrated Service Network 12 is seeking proposals for an electronic surveillance and clinical notification system to measure and prevent antimicrobial resistance at the Clement J Zablocki VAMC. The system must provide capabilities such as data mapping, automated infection surveillance, customizable alerts, resistance and utilization reporting, and customized antibiograms. Proposals are due by May 4, 2020, and the contract would be awarded as a base year with four option years. Payment will be made upon satisfactory completion of deliverables. The system must meet requirements for capabilities such as data mapping, infection control, antimicrobial stewardship, benchmarking, and compatibility with the incumbent BD-Medmined system.
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Contract Opportunity Presolicitation Notice
CLASSIFICATION CODE
SUBJECT
CONTRACTING OFFICE'S
ZIP-CODE
SOLICITATION NUMBER
RESPONSE DATE (MM-DD-YYYY)
ARCHIVE
DAYS AFTER THE RESPONSE DATE
RECOVERY ACT FUNDS
SET-ASIDE
NAICS CODE
CONTRACTING OFFICE
ADDRESS
POINT OF CONTACT
(POC Information Automatically Filled from User Profile Unless Entered)
DESCRIPTION
See Attachment
AGENCY'S URL
URL DESCRIPTION
AGENCY CONTACT'S EMAIL
ADDRESS
EMAIL DESCRIPTION
ADDRESS
POSTAL CODE
COUNTRY
ADDITIONAL INFORMATION
GENERAL INFORMATION
PLACE OF PERFORMANCE
* = Required Field Contract Opportunity Presolicitation Notice Clinical Pathogen Surveillance System 53214-1476 36C25220Q0504 05-04-2020 N 334516 Department of Veterans Affairs Great Lakes Acquisition Center (GLAC) 115 S 84th Street, Suite 101 Milwaukee WI 53214-1476
AMY BURGER
AMY.BURGER@VA.GOV
CLEMENT J. ZABLOCKI VAMC
5000 WEST NATIONAL AVENUE
MILWAUKEE, WI 53295
STATEMENT OF WORK (SOW)/SPECIFICATIONS
Electronic Surveillance and Clinical Notification System
1. Introduction and Overview The Clement J Zablocki VAMC is pursuing to purchase an Electronic Surveillance and Clinical Notification system for pathogen surveillance to measure and prevent resistance to antimicrobials.
A BD-Medmined system is currently installed and used within the pharmacy workflow for antimicrobial stewardship, anticoagulation monitoring and various other workflows that increase efficiency within the department. The system must meet all the requirements described below. Furthermore, compatibility with the current system is a factor in the bid evaluation process. The VA desires a five-year contract term.
2. Specific Requirements
The Clement J Zablocki VAMC requires online access to a system that shall provide real time, customizable, automated monitoring of inpatient data for clinical outcomes. The system shall provide the following
· Data mapping and cleansing
· Automated infection surveillance to identify and confirm healthcare-associate infections
· Ability to create customizable antibiograms
· Customizable clinical monitoring and notification
· Pathogen monitoring through data mining
3. Period of Performance
Contract will be for a base year, 12 months, with four (4) option periods.
4. Payment
Payment will be made after satisfactory completion of concrete deliverables/services.
5. Salient Characteristics: Product quoted must meet these salient characteristics
· Data Mapping
· The solution will have the ability to map and cleanse data with minimal additional workload for IT and clinical staff
· Infection Control
· Ability to identify statistically significant and clinically relevant changes in isolated and antibiotic resistance without input from the facility.
· Patterns identified are unit, organism, and source specific and identified for both community and hospital isolates.
· Monthly patterns will be deliverable via a customizable web-based application and includes organism specific epidemiology information as well as collection location, ordering physician, and additional patient details.
· Each pattern identified will have a list of peer-reviewed best practice guidelines and hyperlinks to primary references and journal articles to facilitate process investigation and improvement
· Ability to access quantifiable, risk adjusted information regarding their infection prevention performance.
· Ability to submit data to national healthcare-associated tracking systems such as the CDC’s National healthcare Safety Network.
· Antimicrobial Stewardship
· Automated Surveillance and reporting
· Proactive and customizable alerts for timely identification of patients for intervention
· Automated and on-demand resistance reports with the ability to drill down to the unit and patient to track and trend resistance patterns
· Comparative and on-demand reports to monitor stewardship program success
· Ability to track drug utilization to identify the most prevalent treatment choices and possible correlation between therapy and clinical trends.
· Customized antibiograms
· Ability to run non-duplicate isolate customized antibiograms for the entire hospital, specified admission period, hospital associated, outpatient, nursing unit specific, specified source, time period or any combination of the above.
· Antibiograms will have the ability to be scheduled to run automatically with the end user notified via email at the completion.
· Benchmarking
· Ability to access quantifiable, risk adjusted information regarding their infection prevention performance.
· Ability to proactively identify potential infections through a peer-reviewed, objective algorithm to highlight areas to improve patient outcomes. This objective marker shall also be able to be used to facilitate benchmarking and goal setting.
· Drug utilization benchmarks are provided to the facility for individual drugs, drug class, and drug category. Benchmarks are created using antibiotic use data (days of therapy) and appropriate comparisons are made.
· Ability to submit data to national healthcare-associated tracking systems such as the CDC’s National healthcare Safety Network.
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