SPECIAL NOTICE
A -- interoperable Medical Automated Systems (iMAS) Data Analytics and Artificial Intelligence (AI) Algorithm Development for interoperable Algorithms for Care and Treatment (iACT)
- Notice Date
- 3/16/2021 9:42:16 AM
- Notice Type
- Special Notice
- NAICS
- 541715
— Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Contracting Office
- W4PZ USA MED RSCH ACQUIS ACT FORT DETRICK MD 21702-5014 USA
- ZIP Code
- 21702-5014
- Solicitation Number
- MTEC-21-07-iACT
- Response Due
- 4/15/2021 8:59:00 AM
- Archive Date
- 04/30/2021
- Point of Contact
- Randall Fernanders, Phone: 8437603378
- E-Mail Address
-
randall.fernanders@ati.org
(randall.fernanders@ati.org)
- Description
- The Medical Technology Enterprise Consortium (MTEC) is excited to post this announcement for a Request for Project Proposals (RPP) focused on providing soldiers and military medic personnel with Artificial Intelligence (AI) and Machine-Learning based decision support software to enhance their ability to provide short and long term patient care in all domain operation (ADO) environments. Solution Requirements: The iACT prototype is a software system utilizing AI and Machine Learning based Clinical Decision Support algorithms to be used to support military medical personnel in their duties. The system will be developed with a Graphical User Interface (GUI) and Application Program Interface (API) to enable military personnel to input data and provide military personnel with AI-based alerts for their patients. The prototype shall include the development and integration of the medical database and AI based algorithms that are free of errors and minimizes the risks of data fitting and dimensionality through scalable data subsets. AI capabilities include, but are not limited to, predicting point of patient decompensation, predicting injury patterns, assessing patient status, identifying treatments and medications relating to the initial assessments, and providing medical alerts for personnel based on patient medical data. The system will receive patient data both manually entered and automatically collected from vital signs monitors, analyze the data received, and provide recommendations for medical treatment. The prototype must enable the development of specific AI-based algorithms that are free of errors and minimize the risks of data fitting and dimensionality through scalable data subsets. Offerors will be expected to provide the following information in their submissions in response to this RPP: Prior experience developing and integrating machine learning algorithms. Strategy for large-scale dataset management. Identification of pitfalls and decision factors that should be considered when making short-term and long-term decisions. Description of the types of AI/Machine Learning algorithms for medical purposes that will be developed in addition to any potential algorithms that could be developed and the types of data/amount of data necessary for developing those algorithms, as well as the strategy and feasibility of successfully developing each algorithm. Strategy and recommended software to store large-scale datasets and how they will be optimized to build machine learning algorithms.� Strategy for managing query costs. Strategy and recommended software for the processing of large-scale data sets. Strategy for handling different types of data and what those data types may include. Description of how the proposed algorithms will provide Joint Warfighters and military medical personnel with machine learning-based decision support algorithms that can be implemented in DOD tactical medical software applications to enhance their ability to monitor, diagnose, triage, and treat injured warfighters during tactical combat casualty care. Description of how the proposed algorithms will provide inclusive assessments and treatment procedures, indications, warnings, or suggestions for consideration in prolonged field care and deployed clinical environments.� Description of how the complete database will be capable of storing large amounts of real world medical trauma cases, including patient diagnoses, complete vital signs sets, medications given, medical treatments performed, and patient outcomes.� Description of how the proposed database will enable their development of AI-based medical Clinical Decision Support algorithms and evaluate machine learning that will ultimately be used to recommend diagnoses, treatments, and medications to care providers in Medical Treatment Facilities. Strategy to collaborate and cooperate with the joint effort between WHPE PMO subject matter experts and stakeholders, including but not limited to the U.S. Army Combat Capabilities Development Command Aviation & Missile Center (CCDC AvMC)�Systems Simulation, Software and Integration Directorate (S3i). Technical support to establish and maintain a Risk Management Framework assessment to obtain an Authority to Operate (ATO) at Sensitive But Unclassified (SBU) and Secret levels. Acquisition Approach: This RPP will be conducted using a two-staged approach. In Stage 1, current MTEC members are invited to submit White Papers using the format contained in the RPP. The Government will evaluate White Papers submitted and will select White Papers that best meet their current technology priorities using the criteria specified in the RPP. Offerors whose proposed solution is selected for further consideration based on White Paper evaluation will be invited to submit a proposal in Stage 2. Notification letters will contain specific Stage 2 proposal submission requirements. MTEC: The MTEC mission is to assist the U.S. Army Medical Research and Development Command (USAMRDC) by providing cutting-edge technologies and supporting effective material life cycle management to transition medical solutions to industry that protect, treat, and optimize Warfighters� health and performance across the full spectrum of military operations. MTEC is a biomedical technology consortium collaborating with multiple government agencies under a 10-year renewable Other Transaction Agreement (OTA), Agreement No. W81XWH-15-9-0001, with the U.S. Army Medical Research Acquisition Activity (USAMRAA). MTEC is currently recruiting a broad and diverse membership that includes representatives from large businesses, small businesses, �nontraditional� government contractors, academic research institutions and not-for-profit organizations. Administrative Information: White Papers are due no later than April 15, 2021 at 12:00pm Eastern Time. The RPP is posted to the MTEC website (mtec-sc.org) and a notice is posted on www.beta.SAM.gov to notify interested parties. MTEC membership is required for the submission of a White Paper in response to this MTEC RPP. An Offeror submitting a White Paper as the prime contractor must be an MTEC member of good standing by April 12, 2021. To join MTEC, please visit http://mtec-sc.org/how-to-join/ Points of Contact: Please direct your inquiries and correspondence to the following contacts: Questions concerning contractual, cost or pricing related to this RPP should be directed to the MTEC Contracts Administrator at mtec-contracts@ati.org Technical and membership questions � Dr. Lauren Palestrini, MTEC Director of Research, lauren.palestrini@mtec-sc.org Administrative questions � Ms. Kathy Zolman, MTEC Director of Program Operations, kathy.zolman@ati.org For additional information, see the attached announcement.
- Web Link
-
SAM.gov Permalink
(https://beta.sam.gov/opp/2b84e3eb18c141e79dddd1c8b43c206e/view)
- Record
- SN05943748-F 20210318/210316230116 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
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