The 5G Security Enhancements one-page overview outlines several security enhancements in 5G compared to previous cellular communication technologies while highlighting security configurations and scalable security solutions / protections.
Contact us at 5G@mdic.org or reach out the MDIC program staff:
The Landscape Analysis of 5G in Healthcare surveys the role of 5G connectivity in current and future applications within the healthcare continuum of care. The report provides an overview of 5G technology along with several healthcare use cases, such as 5G-enabled simulation with extended reality, 5G-enabled robotics, mobile units, and remote care. Key challenges and knowledge gaps identified must addressed to deliver the benefits of 5G in healthcare more safely to patients.
Contact us at 5G@mdic.org or reach out the MDIC program staff:
The white paper How Can Patient Preference Information be Used in Payer Coverage Decisions and Health Technology Assessment? aims to encourage the use of patient preference information by payers and health technology assessment organizations. In this resource, MDIC clarifies the standards and role of generating this data and presenting it in a more consistent, systematic format.
As patients become more engaged with their care, healthcare stakeholders want to understand how to better incorporate patients’ wants and needs into their processes. This is the first MDIC resource focused specifically on awareness of patient preference and methods as a tool for payers and the medical industry.
The Medical Device Innovation Consortium (MDIC) has had the privilege
of partnering with the FDA Center for Devices and Radiological Health (CDRH)
to advance the Case for Quality, a transformational initiative to shift the medical device industry from a focus on regulatory compliance to a focus on quality maturity.
This kind of cultural shift doesn’t happen overnight. MDIC, FDA and our industry partners have worked together to develop tools and methods to encourage and appropriately incentivize quality practices.
Beyond the tools, MDIC has sought to cultivate trust between medical device manufacturers and the FDA. That trust is fundamental to developing a culture based on a mutual commitment to quality maturity practices, rather than “check the box” compliance activities.
In December 2017, CDRH launched the Voluntary Medical Device Manufacturing and Product Quality Program Pilot, utilizing a maturity model refined
in collaboration with the Capability Maturity Model Integration (CMMI) Institute, MDIC, and regulatory and industry partners. The maturity model is leveraged as a resource for medical device organizations to measure their capability to produce high quality, safe and effective devices.
This measurement can then be used by organizations to drive targeted continuous improvement activities throughout their facilities. For manufacturers who complete the independent (third party) appraisal of quality maturity, the FDA will adjust their engagement activities and modify their submission requirements and routine inspection plans.
Industry participation is critical to long-term implementation of the maturity model as an alternative to the traditional path of a routine FDA inspection. Participation in the pilot requires an investment, both of personnel and money.
However, companies will receive many valuable benefits. Participating companies can expect to improve organizational processes and reduce variability that could lead to reduced costs of quality, decreased rework, and increased return on investment.
The FDA will also benefit from this program by potentially reducing the internal resources required for evaluation of inspections and manufacturing review submissions. The combined focus on safety and quality can be a win-win for both FDA and manufactures as we advance the health and safety of patients.
MDIC’s External Evidence Methods (EEM) program aims to assist stakeholders with use of EEM, such as new, innovative, and existing methods for evidence fusion from data external to a clinical study. The purpose of incorporating external data is often to create efficiency in medical product development and regulatory decision-making, thereby bringing new, safe, and effective technologies to market sooner to help patients in need. External data may also provide insights into the clinical performance of the diagnostic device being studied. External data can potentially be used in regulatory decision-making throughout the total product life cycle (TPLC).
MDIC EEM Framework is a document intended to help stakeholders navigate their way through the nuts and bolts of leveraging external data. Informed by a number of public forums and a survey of medical device manufacturers, the document catalogs different sources of external data and some of the traditional and novel statistical methods (Frequentist and Bayesian) applicable to the design and analysis of a clinical study in which external data play a role. It also provides references to actual past studies leveraging external data in which some of these statistical methods were successfully applied to support the approval/clearance of medical devices, or the modification of their indications. In all these examples, the external data being leveraged are subject-level data. Most methods cataloged in this document rely on subject-level external data for their implementation.
This framework is in alignment with other MDIC’s initiatives, including the National Evaluation System for health Technology Coordinating Center’s (NESTcc’s) mission of accelerating the timely, reliable, and cost-effective development of RWE to enhance regulatory and clinical decision-making. The EEM Framework expands the repertoire of MDIC resources that focuses on reliable and cost-effective Real-World Evidence (RWE) throughout the medical device total product lifecycle NESTcc’s Research Methods Framework and Data Quality Framework as well as the Real-World Clinical Evidence Generation: Advancing Regulatory Science and Patient Access for In Vitro Diagnostics (IVDs) Framework.
Purpose of the EEM Framework
This framework is intended to help stakeholders navigate their way through leveraging external data by:
If you would like to learn more about the project as well as explore the opportunities for collaborating with MDIC, please contact us at firstname.lastname@example.org
Click here to download the framework.
Medical devices are increasingly complex systems that exist in complex connected ecosystems of healthcare delivery and are thereby prone to cybersecurity vulnerabilities. For several years, the Food and Drug Administration (FDA) has recognized the value of threat modeling as an approach to strengthen the cybersecurity and safety of medical devices. To increase adoption of threat modeling throughout the medical device ecosystem, FDA engaged with the Medical Device Innovation Consortium (MDIC), the MITRE Corporation, and Adam Shostack & Associates to conduct threat modeling bootcamps in 2020 and 2021. The Playbook has been developed by this team based on the learnings from those bootcamps to further increase the outreach and adoption of threat modeling best practices for medical devices.
Note that the Playbook is not prescriptive in that it does not describe one approach to be used when threat modeling medical devices but focuses on general threat modeling principles. The Playbook can be used as a resource for threat modeling training within an organization. Individuals can work through the examples, filling in the details left to the reader, applying the different methodologies discussed in the Playbook to those gaps, and researching additional approaches using the references in the playbook as starting points. An organization could develop its own training using the Playbook as a basis.
The playbook can also be used to educate stakeholders on threat modeling: what it is, its role in improving product safety and security, and how it fits with quality processes. For example, the playbook may help:
- product line managers understand how threat modeling fits into existing processes;
- systems engineers to understand how threat modeling informs design requirements;
- design engineers and architects understand how threat modeling informs design choices;
- design verification and validation (V&V) engineers understand how to use threat models in designing test strategies;
- regulatory specialists understand how to present and document threat models; and,
- contract manufacturers and consultants who may not be experienced in threat modeling.
Each of these stakeholders can select the portions of the playbook that can help them fulfill their roles and responsibilities in making their devices safe and secure.
This Playbook has benefited significantly from contributions and feedback made by numerous individuals and organizations including the bootcamp participants and facilitators. We are grateful to these contributors for their willingness to share their expertise and invest their valuable time to ensure that this playbook will be useful to the industry.
Please email us email@example.com to provide the feedback or comments on the Playbook OR to enquire about upcoming threat modeling bootcamps for medical device stakeholders.