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Jose Ignacio Mora
Principal Consultant, Atzari Consulting, LLCJosé Mora is a Principal Consultant specializing in Manufacturing Engineering and Quality Systems. For over 30 years he has worked in the medical device and life sciences industry specializing in manufacturing, process development, tooling, and quality systems. Prior to working full time as a consulting partner for Atzari Consulting, José served as Director of Manufacturing Engineering at Boston Scientific and as Quality Systems Manager at Stryker Orthopedics, where he introduced process performance, problem solving, and quality system methodologies. During that time he prepared a white paper on the application of lean manufacturing methods to the creation and management of controlled documents and a template for strategic deployment.
José led the launch of manufacturing at a start-up urology products company as Director of Manufacturing for UroSurge, Inc. at the University of Iowa’s business incubator park in Coralville, IA, creating a world-class medical device manufacturing operation, with JIT, kanban systems, visual workplace and lean manufacturing practices. José worked for 10 years at Cordis Corporation, now a Cardinal Health company, where he led the successful tooling, process development and qualification of Cordis’ first PTA (percutaneous transluminal angioplasty) catheter.
His medical device experience includes surgical instruments, PTA & PTCA dilatation and guiding catheters, plastic surgery implants and tissue expanders, urology implants and devices for the treatment of incontinence, delivery systems for brachytherapy, orthopaedic implants and instruments, and vascular surgery grafts and textiles. During his time at Cordis, José managed the Maintenance and Facilities Department, taking that operation to a level rated as “tops” by the UK Department of Health and Social Services (DHSS) during one of their intensive audits.
Jose managed Manufacturing Engineering as part of the Guiding Catheter Core Team of managers, a team that took the Cordis Guiding Catheter business to lead the market, bringing it up from fourth place. By introducing world-class techniques, the Guiding Catheter design and manufacturing was completely re-engineered for robust design and tooling, under José’’s leadership.
He was also instrumental and played a leadership role in the complete re-engineering of the Tooling Control System, including design drafting, the tool shop and technical support. Wherever he has worked, he has a track record of introducing world-class methodologies such as Kepner-Tregoe, Taguchi techniques, Theory of Constraints, Lean Manufacturing, Five S (Visual Workplace), process validation to Global Harmonization Task Force standards, and similar approaches.
Recorded-webinar by: Jose Ignacio Mora
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How to Conduct a Human Factors Usability Validation
Human Factors/Usability is the analysis of how people interact with medical devices. Human factors usability validation is a process of evaluating a product's usability by testing it with representative users in a simulated or real-world environment. The objective of human factors usability validation is to identify and address potential usability issues and ensure that the product is safe, effective, and easy to use.
The process involves planning and preparation, selecting appropriate participants and testing environment, conducting user testing and data collection, analysis and interpretation of data, and reporting and documentation of results. A successful human factors usability validation can improve the product's usability, user satisfaction, and overall market acceptance.
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FDA Regulation of Artificial Intelligence & Machine Learning
Artificial Intelligence and Machine Learning (AI/ML) will revolutionize medicine by making diagnosis and treatment more accessible and more effective.
FDA has regulated medical software by means of regulation and guidance for years, however, AI/ML programs fall outside the scope of these regulations and guidance. This happens because the FDA approves the final, validated version of the software. The point of AI/ML is to learn and update the following deployment to improve performance. Thus, the field version of the software is no longer the validated approved version.
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Risk Management - Principles of Lean Documents and Lean Configuration
Risk management overarches projects associated with a particular product family, given that risks will both remain and change as new design features and medical indications for use evolve with a particular device.
During all phases of a project, any new consideration must be held up against the scrutiny of potential risk and harm to the health of people, damage to property, or to the environment during all stages of a product’s life cycle and supply chain.
Risk management is a process that involves many considerations, responsibilities, personnel, and the transfer of knowledge. Given that it transcends projects and even companies, it is particularly critical that key pieces of information survive these many hand-offs.
In this webinar, we apply the Theory of Lean documents and its corollary Theory of Lean Configuration to present a fresh approach to these linked and cascading documents, files, and requirements.
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An Advanced Course on Lean Documents, Lean Configuration, and Document Control
In this Lean Documents, Lean Configuration, and Document Control training learn the different types of lean documents and the usage of lean document principles; types of controlled documents; examples of lean and non-lean controlled documents. Pros and cons of Lean vs. Non-Lean Documents.
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Test Method Validation to Verify your Device Performance
Test Method Validation (TMV) is an often-confusing requirement for medical devices. A fundamental issue is the role-reversal between the test method and the product or process it is designed to detect. For example, while a defect-free process is desirable, a test method must be reliable both in detecting defects and in not rejecting acceptable samples. Those who work with process optimization and validation focus on optimizing a process and reducing variability. Those working on Test Method Validation, on the other hand, focus on discerning between process variation and measurement error from the test method itself.
Often, the test method for a new process must be designed specifically for that process, and some of the pitfalls are in confounding the process itself with the test method. This webinar will present case-studies to explore how those issues are addressed.
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