SOURCES SOUGHT
R -- *UPDATED* VA DEAN Innovation Research and Simulation Support
- Notice Date
- 5/7/2021 1:15:52 PM
- Notice Type
- Sources Sought
- NAICS
- 541715
— Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Contracting Office
- SAC FREDERICK (36C10X) FREDERICK MD 21703 USA
- ZIP Code
- 21703
- Solicitation Number
- 36C10X21Q0136
- Response Due
- 5/20/2021 2:00:00 PM
- Archive Date
- 07/12/2021
- Point of Contact
- David S Rupert, Contracting Specialist, Phone: (240) 215-0603
- E-Mail Address
-
David.Rupert@va.gov
(David.Rupert@va.gov)
- Awardee
- null
- Description
- Request for Information (RFI) The Department of Veterans Affairs (VA) is issuing this RFI in accordance with FAR 15.201(e). The agency does not intend to award a contract but rather gather information on capability, delivery and other market information pertinent for acquisition planning. The result of this market research will contribute to determining the method of procurement and identify parties having an interest in and the resources to support this requirement for the following: Task 1. Emerging Technology to Transform Clinical Care Delivery and Service The pace at which healthcare is changing, which has only been accelerated by the COVID-19 pandemic, represents new challenges and opportunities for the Veterans Health Administration. The emergence of new technologies in clinical care delivery, such as 3-dimensional printing and virtual reality, represent foundational shifts in health care delivery. To realize the full value of these solutions in an effort to advance clinical care writ large, rapid prototyping, testing, evaluation and integration in the clinical workflow of proven solutions will need to occur more seamlessly, and rapidly, than ever before. This change and success will ensure VHA can continue to deliver world class care and service for our nation s Veterans. To accomplish this, the Veterans Health Administration will require subject matter expertise, both clinical and scientific, across various disciplines. The contractor will be responsible for assisting the government with end-to-end design and clinical integration of the below topic areas. Specific task will include initial discovery work and solution ideation, evaluation and testing of a minimum viable product, evaluation and assessment of real world impact of a proposed solution, replication testing and large-scale integration in the clinical and operational workflow. Task for each CLIN will be broken up into three month sprints , to allow for necessary measurement and evaluation of impact, course correction or cancelling a specific initiative. Specific knowledge and requirements listed within each category below: Advanced Manufacturing for Clinical Care Contractor will support VHA in advancing the adoption and application of advanced manufacturing (i.e. 3-dimensional printing and 3-dimensional bio-printing) for clinical care delivery. Such work could include advances in pre-surgical planning through anatomic modeling, development of custom orthotics and prosthetics, or use of additive manufacturing for design and development of surgical implants. Contractor must possess subject matter expertise in medical device design, testing and production, with additional subject matter expertise in Food and Drug Administration (FDA) regulations as well as the necessary implementation of a Quality Record and Management System for medical device production. Additionally, the contractor must possess both bio-medical and clinical expertise in the use of advanced manufacturing across multiple clinical disciplines as well as a sound appreciation for business and financial modeling for in-hospital manufacturing services. Robotic Process Automation (RPA) Contractor will support VHA in advancing the use of Robotic Process Automation (RPA) for clinical care delivery and service optimization. Use cases could include using RPA to automate collection of patient data during clinical visits, patient scheduling and automate administrative functions to enhance the clinical workflow and free providers to spend more time directly with Veterans. Contractor must possess subject matter expertise in clinical workflow optimization, deployment and adoption of automated solutions into the clinical workflow, as well as a deep knowledge of clinical informatics and software design. Immersive Technologies The role of extended realities such as virtual and augmented reality hold promise for the treatment of various conditions as well as enhancing the practice of medicine. The contractor will assist the VHA in the design, testing and deployment of various immersive technologies in the clinical care delivery setting. Examples include the use of Virtual Reality for the treatment of Post-Traumatic Stress Disorder (PTSD), or the use of Augmented Reality for surgical navigation in the Operating Room. The contractor must possess a deep knowledge of the use of immersive technology in clinical care, emerging FDA regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Precision Medicine Precision medicine is an approach to patient care that allows doctors to select treatments that are most likely to help patients based on a genetic understanding of their disease. This may also be called personalized medicine. The contractor will assist the VHA in the design, testing and deployment of various precision medicine capabilities in the clinical care delivery setting. Examples include the use of precision medicine to treat lung cancer, melanoma (skin cancer), colon cancer, and pancreatic cancer. It can also help with some rare childhood illnesses, cystic fibrosis, and human immunodeficiency virus (HIV). The contractor must possess a deep knowledge of the use of precision medicine in clinical care, emerging FDA regulations and policies surrounding this capability, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Remote Care Remote care programs use telehealth technology to facilitate clinically driven, remote monitoring, care, and education of patients and are an absolute necessity for providers and payers striving to implement an effective population health management strategy. Remote Care is a telemedicine service, which allows constant monitoring of the patient's condition and performance of preventive and control check-ups outside medical facilities. This form of care is made possible by the use of mobile devices which measure vital signs. The contractor will assist the VHA in the design, testing and deployment of various remote care technologies in the clinical care delivery setting. Examples include the use of telemedicine for the digital transmission of medical imaging, remote medical diagnosis and evaluations, and video consultations with specialists. The contractor must possess a deep knowledge of the use of remote care in clinical care, emerging FDA regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Artificial Intelligence (Machine Learning/Natural Language Processing/Neural Networks) Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. The basic objective of AI (also called heuristic programming, machine intelligence, or the simulation of cognitive behavior) is to enable computers to perform such intellectual tasks as decision making, problem solving, perception, understanding human communication (in any language, and translate among them). There are four types of artificial intelligence: reactive machines, limited memory, theory of mind and self-awareness. The contractor will assist the VHA in the design, testing and deployment of various AI technologies in the clinical care delivery setting. Examples include the common use of artificial intelligence in healthcare involving NLP applications that can understand and classify clinical documentation. NLP systems can analyze unstructured clinical notes on patients, giving incredible insight into understanding quality, improving methods, and better results for patients. The contractor must possess a deep knowledge of the use of AI in clinical care, emerging FDA regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Application Program Interfaces (API) An application programing interface (API) is a set of standards that govern how software applications talk to each other. APIs play an increasingly important role in healthcare data exchange, whether for data analytics, medical research, or creating innovate ways to access the EHR. The contractor will assist the VHA in the design, testing and deployment of various API technologies in the clinical care delivery setting. Examples include using an application on mobile device, the application connects to the Internet and sends data to a server. The server then retrieves that data, interprets it, performs the necessary actions and sends it back to the mobile device. The contractor must possess a deep knowledge of the use of APIs in clinical care, emerging FDA regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Edge Computing Edge computing is a distributed, open IT architecture that features decentralized processing power, enabling mobile computing and Internet of Things (IoT) technologies. In edge computing, data is processed by the device itself or by a local computer or server, rather than being transmitted to a data center. Edge computing optimizes Internet devices and web applications by bringing computing closer to the source of the data. The contractor will assist the VHA in the design, testing and deployment of edge computing in the clinical care delivery setting. Examples include Edge computing as an enabler for doctors to deliver care to remote areas where connectivity may not be great and skilled healthcare personnel may not be available. Furthermore, healthcare providers can use edge computing and analytics to convert data into new insights to help improve patient outcomes while delivering financial and operational value. The contractor must possess a deep knowledge of the use of edge computing in clinical care, emerging FDA regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. 5G Technology 5G is the 5th generation mobile network. It is a new global wireless standard after 1G, 2G, 3G, and 4G networks. 5G enables a new kind of network that is designed to connect virtually everyone and everything together including machines, objects, and devices. Like other cellular networks, 5G networks use a system of cell sites that divide their territory into sectors and send encoded data through radio waves. Each cell site must be connected to a network backbone, whether through a wired or wireless backhaul connection. The contractor will assist the VHA in the design, testing and deployment of 5G in the clinical care delivery setting. Examples include 5G-enabled wearable devices, whereby healthcare providers can monitor patients remotely and gather real-time data for preventative care and other individually tailored healthcare provisions. The contractor must possess a deep knowledge of the use of 5G in clinical care, emerging FDA regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Block Chain in Healthcare Blockchain in healthcare is emerging as novel methodology that can enable the VHA to implement both fine grained supply chain tracking and data sharing systems that can improve business processes by providing tracking of both physical and digital assets internal and external to the VHA. The contractor will assist the VHA in the design, testing and deployment of blockchain technology within the context of healthcare delivery. The contractor must also possess a knowledge of cybersecurity, privacy, and supply chain/logistics management. Task 2. Advanced Clinical Decision Support and Data-Driven Decision Making in Healthcare Data-driven decision-making (DDDM) is defined as using facts, metrics, and data to guide strategic business decisions that align with VHA goals, objectives, and initiatives. VHA needs to make data-driven decision-making the norm creating a culture that encourages critical thinking and curiosity. To realize the full value of these solutions in an effort to advance clinical care writ large, data-driven decision-making integration in the clinical workflow of proven solutions will need to occur more seamlessly, and rapidly, than ever before. This change and success will ensure VHA can continue to deliver world class care and service for our nation s Veterans. To accomplish this, the Veterans Health Administration will require subject matter expertise, both clinical and scientific, in the areas such as clinical informatics, data science, and artificial intelligence. The contractor will be responsible for providing subject matter expertise across a wide variety of data analytics platforms and well as provide necessary development and clinical integration expertise for custom developed solutions. Specific knowledge and requirements listed within each category below: Synthetic Data Synthetic healthcare data are generated to meet specific needs or certain conditions that may not be found in the original, real data. This can be useful when designing any type of system because the synthetic data are used as a simulation or as a theoretical value, situation. Synthetic data is information that's artificially manufactured rather than generated by real-world events. Synthetic healthcare data is created algorithmically, and it is used as a stand-in for test datasets of production or operational data, to validate mathematical models and, increasingly, to train healthcare machine learning models. The contractor will assist the VHA in the design, testing and deployment of various synthetic data technologies in the clinical care delivery setting. Examples include synthetic healthcare data sets that provide a vast amount of synthetic medical data, various measurements, financial data, statistical data, demographics of specific populations, and insurance data. The contractor must possess a deep knowledge of the use of synthetic data in clinical care, emerging FDA regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Secure Model Operations AI Platform to Discover, Deploy, Manage & Govern Machine Learning at Scale Through algorithmic analysis of healthcare data, AIOps helps VHA s clinical teams work smarter and faster, so they can detect digital-healthcare service issues earlier and resolve them quickly before business operations and customers are impacted. AIOps is short for artificial intelligence for IT operations. It refers to multi-layered technology platforms that automate and enhance IT operations through analytics and machine learning (ML). The contractor will assist the VHA in the design, testing and deployment of various AIOps technologies in the clinical care delivery setting. Examples include digital transformation, as a natural place for AIOps within service management as a means to automate processes and automatically spot and react to issues in real-time. The contractor must possess a deep knowledge of the use of AIOps in clinical care, emerging FDA regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Data Platforms and Systems Integrator A data platform is an integrated technology solution that allows data located in database(s) to be governed, accessed, and delivered to users, data applications, or other technologies for strategic business purposes. Systems Integration is the process of creating a complex information system that may include designing or building a customized architecture or application, integrating it with new or existing hardware, packaged and custom software, and communications. The contractor will assist the VHA in the design, testing and deployment of various data platforms and systems integration technologies in the clinical care delivery setting. Examples include VHA s Electronic Health Record Modernization (EHRM) effort or Cerner implementation. The contractor must possess a deep knowledge of the use of data platforms and systems integration in clinical care, emerging FDA regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Internet of Things (IoT) and Wearables The Internet of things (IoT) describes the network of physical objects a.k.a. ""things"" that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the Internet. The contractor will assist the VHA in the design, testing and deployment of IoT technologies in the clinical care delivery setting. Examples include connected appliances, smart security systems, autonomous equipment, wearable health monitors, smart equipment, ultra-high-speed wireless internet and biometric scanners. The contractor must possess a deep knowledge of the use of IoT in clinical care, emerging FDA regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Genomic Epidemiology Genetic epidemiology is the study of the role of genetic factors in determining health and disease in families and in populations, and the interplay of such genetic factors with environmental factors. Genetic epidemiology seeks to derive a statistical and quantitative analysis of how genetics work in large groups. The contractor will assist the VHA in the design, testing and deployment of genetic epidemiology technologies and or studies in the clinical care delivery setting. Examples include epidemiological technologies or studies that measure the risk of illness or death in an exposed population compared to that risk in an identical, unexposed population (a population the same age, sex, race and social status as the exposed population). The contractor must possess a deep knowledge of the use of genomic epidemiology in clinical care, emerging FDA regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Clinical Trial Development A clinical trial is a research study conducted in human beings with the goal of answering specific questions about new therapies, vaccines or diagnostic procedures, or new ways of using known treatments. Clinical trials are used to determine whether new drugs, diagnostics or treatments are both safe and effective. The contractor will assist the VHA in the design, testing and deployment of clinical trials in the clinical care delivery setting. Examples include new drugs, medical devices, biologicals, vaccines, surgical and other medical treatments and procedures, psycho-therapeutic and behavioral therapies help service changes, preventative care strategies and educational. The contractor must possess a deep knowledge of conducting clinical trials including any emerging FDA regulations and policies surrounding emerging capabilities and/or subsequent technologies, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Digital Twins A digital twin is a virtual representation that serves as the real-time digital counterpart of a physical object or process. A digital twin is, in essence, a computer program that uses real world data to create simulations that can predict how a product or process will perform. These programs can integrate the internet of things, artificial intelligence and software analytics to enhance the output. The contractor will assist the VHA in the design, testing and deployment of digital twins in the clinical care delivery setting. Examples include digital twins used to optimize machines with the maintenance of healthcare equipment such as biomedical appliances, where the combination and integration of the three digital twins Product, Production, and Performance evolve together to create the digital thread. Another example of digital twins is the use of 3D modeling to create digital companions for the physical objects. The contractor must possess a deep knowledge of the use of digital twins in clinical care, emerging FDA regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Task 3. Clinical Simulation Training The contractor shall support SimLEARN in its mission to advance clinical training through healthcare simulation by providing subject matter expertise to design, implement and further advance pre-defined and limited (by the government) healthcare simulation courses or modules. Successful completion of this task will require subject matter expertise in clinical care delivery, healthcare education and training, healthcare simulation, simulation and curriculum design, healthcare informatics as well as research methods for analysis of learning objective and impact. Courses will be determined by SimLEARN leadership under the direction of clinical leads, both in medicine and nursing. Training and curriculum plans shall include comprehensive design of the simulated scenarios, necessary educational materials, and competency assessments developed independently by the contractor or in support of the larger SimLEARN Learning consultants using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. The contractors will provide the necessary subject matters experts for in-person training modules as well coordinate amongst necessary government subject matter experts, other federal agencies (e.g. Department of Defense) and industry partners (e.g. Cerner Corporation) when such coordination for successful design and execution of a simulation course is necessary. Contract support would bolster this effort through the lifecycle of course design and implementation. Number of courses for which the contractor will support will be limited to 4 for the duration of 12 months. Contractor will be responsible for submitting monthly status reports on efforts towards training and curriculum development. Task 4. Clinical Simulation and Training to Enhance Adoption of Emerging Technology in Clinical Care Delivery The contractor shall assist in the development of up to 4, for the duration of 12 months, simulation and workflow analysis courses, workshops and/or seminars on training solutions for the integration of emerging technology into clinical practice (e.g. 3D printing, immersive technology, artificial intelligence/machine learning) as well as clinical and operational workflow optimization using designed simulated scenarios. Courses et. al will range from focused groups of clinical or operational subject matter experts spending multiple days immersed in simulated scenarios to tailored, focused simulated training models that can be exported to the field (other VA Medical Centers). Training and curriculum plans shall include comprehensive design of the simulated scenarios, necessary educational materials, and competency assessments developed independently by the contractor or in support of the larger SimLEARN Learning consultants using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. The contractors will provide the necessary subject matters experts for either in-person or virtual training modules as well coordinate amongst necessary government subject matter experts, other federal agencies (i.e. Department of Defense) and industry partners (i.e. Cerner Corporation) when such coordination for successful design and execution of a simulation course is necessary. The contractor shall also provide programmatic support and any additional support for Institutional Review Board(s) (IRB) with developing clinical protocols for training and simulation of EHT. Task 5. Simulation for Clinical and Systems Optimization The contractor shall assist with the design and implementation of up to 4 simulated modules and analysis which support VHA with optimizing clinical and operational systems tied to VHA strategic priorities and modernization efforts, such as the advancement of 3-D printing in VHA healthcare or implementation of the new electronic medical record. The contractor shall leverage advanced data analytics techniques to connect data to outcomes and better understand how EHT and new simulations can support direct patient and provider care as well as advancing systems operations. Contractor will provide quarterly updates on design and implementation as well as a final report summary to include future recommendations for clinical and systems optimization through simulated modules and/or training. Task 6: Next Generation Clinical Education, Training and Simulation Immersive Training Immersive learning is the process of learning with the usage of a simulated or artificial environment. The environment enables the learners to completely get immersed in the learning and in a way that feels like experiencing an actual learning environment. Immersive training allows the ability to repeat a training session with multiple different scenarios for any number of employees without increasing the cost. Training can originate in SimLEARN and/or VHA facility while reaching learners that provide clinical care to Veterans anywhere in VHA. Immersive learning provides learners an environment that is highly interactive both virtually and physically. This helps in replicating possible real-world scenarios such as examining and diagnosing patients and performing clinical procedures. The contractor will assist the VHA in the design, testing and deployment of clinical training and simulation modules using immersive training environments and technologies in clinical care. Examples include the use of XR (extended reality) technologies in creating an interactive experience for clinical learners. The contractor must possess a deep knowledge of the use of immersive training in clinical care, emerging FDA regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Role-Based Simulation Role-based simulation involve having learners play various roles in clinical care setting. This type of simulation allows VHA learners to actively engage in authentic clinal care experiences and help develop their clinical reasoning skills through learner engagement. The contractor will assist the VHA in the design, testing and deployment of various role-based simulations. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Integrated Virtual Training Platforms An Integrated Virtual Training Platform is an e-learning platform where users can learn, interact, communicate, view, and discuss clinical healthcare content through a video call platform accessed from the web. Using a Virtual Training Platform to house our simulation based clinical education products will build a more effective education experience for the VHA Simulation Network to develop and use education products to train VHA learners. The virtual platform will be a force multiplier for the VHA Simulation Network because it allows collaboration between SimLEARN and simulationists/faculty from facilities throughout VHA. Even though it is virtual, it works as a network where people can meet and collaborate with each other. The contractor will assist the VHA in the design or evaluation, testing and deployment of an Integrated Virtual Training Platform in the clinical care delivery setting. The contractor must possess a deep knowledge of the use of Virtual Training platforms, ability to integrate multiple data sources to populate the virtual training platform, knowledge of current and emerging OIT regulations and policies surrounding this technology, as well as a knowledge of clinical effectiveness studies and/or evaluation across multiple clinical settings. The contractor must also possess a knowledge of clinical protocol design and subsequent deployment, design, data measurement and evaluation and clinical integration of new protocols. Facility Planning Through Data Visualization Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. The SimLEARN Outreach Network uses simulation scenarios to aid VH...
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