We want RdQCC to be known as a pioneer in medical device risk data analysis and as a revolutionary AI-powered risk management provider: Jerry (Jinxing) Xiao

“Our unwavering commitment to securing innovation and protecting patients in the medical device industry sets us apart.”

The history of Risk-driven Quality Consulting Company LLC, or RdQCC, is rooted in a visionary response to critical industry challenges. The founders, led by Jerry (Jinxing) Xiao, drew inspiration from the need to revolutionize product risk management and safeguard patient safety. They leverage their extensive experience in product risk assessment and combine it with cutting-edge AI technology, resulting in applications like www.risk-discovery.com, an AI-powered risk search engine with over 3000 global users. With a profound commitment to innovation, expertise in product risk management, and a customer-centric approach, RdQCC emerged as a leader in AI-powered risk management solutions, aiming to pioneer AI risk modules provider and risk data center for medical devices.

RdQCC is located in San Diego, California.

The Silicon Review contacted Jerry (Jinxing) Xiao, the owner of RdQCC, and here is his response.

Interview Highlights

Q. What makes – and keeps – RdQCC relevant? What are its focus areas?

What makes and keeps RdQCC relevant is its unwavering commitment to addressing the pressing challenges in the medical technology industry. Its focus areas include leveraging AI technology to cater to individual customer needs, delivering high-quality outputs for risk detection and reduction, creating knowledges for product development, proactively protecting users and patients’ safety, through the mining of medical device data and collaboration with subject matter experts (SMEs).

RdQCC’s visionary leadership team leverage their profound expertise in product risk assessment, as well as their research in semantic analysis and cognitive psychology, to seamlessly integrate OpenAI models like ChatGPT-3.5 into their applications, establishing AI-powered product risk management. This commitment to innovation positions RdQCC as a leader in AI-Powered product risk management, with short-term goals of pioneering AI risk modules and long-term aspirations to become a global risk data center for medical devices.

Q. Can you introduce us to your products or services? What are their key features?

RdQCC offers three AI-powered risk management solutions and can also assist our clients in establishing their AI-based risk management solutions, as outlined below:

Risk Search Engine (www.risk-discovery.com): This platform serves the general public and provides a comprehensive risk assessment for failure modes, hazards, hazardous situations, harms, failure causes, and risk mitigations. Registered users can further enhance their experience by selecting specific product categories or training by their data, such as cardiovascular, resulting in tailored and high-quality outputs.

Risk Chat (www.risk-chat.com): It offers users the flexibility to guide and customize conversations on risk-related topics, allowing them to achieve their desired length, format, style, level of detail, and language used. Through iterative chats, users can obtain in-depth insights into various risk concerns, such as risk mitigations related to inherent safety, protective measures, and safety-related information.

Risk Embedded solution (RdPDM): RdPDM seamlessly integrates within Microsoft Excel, allowing users to continue their FMEA worksheets, including design FMEA, Hazard Analysis, process FMEA, use FMEA, software FMEA, with the assistance of the risk search engine or risk chat tools. Additionally, RdPDM integrates with Microsoft Word, enabling users to effortlessly create documentation, such as test verification protocols, validation protocols, and IFU, with the support of the risk search engine or risk chat tools.

Q. How does RdQCC create and sustain a culture of innovation?

RdQCC cultivates a culture of innovation by leveraging cutting-edge AI technology in product risk management. Our AI-powered solutions including the risk search engine, risk chat, and embedded solution are revolutionizing how professionals in the medical device industry predict and mitigate risks. We continually fine-tune our models with expert-reviewed training data, ensuring superior results and rapid response times. Our vision is to secure innovation and protect patients, driving us to pioneer AI-powered solutions for safer, more efficient product development.

Q. Tell us about the RDQCC team. What value do they bring to the company?

The RdQCC team is a diverse and highly skilled group of professionals who bring immense value to the company. Led by myself, the team boasts extensive experience in roles like quality engineering, design assurance, linguistics scientist, and risk management. They are complemented by experts like Shahar Tsadeek (lead data scientist), Jiashen Kang (lead software developer), and John Spanomanolis (lead risk management SMEs), each with specialized knowledge crucial to our operations. With advisors and supporting teams, RdQCC is guided by a wealth of expertise, ensuring excellence in product risk management and innovation.

Q. What’s the one thing you want RDQCC to be known for?

We want RdQCC to be known as a pioneer in medical device risk data analysis and as a revolutionary AI-powered product risk management provider. Our unwavering commitment to securing innovation and protecting users in the medical device industry sets us apart. We aspire to be recognized as the leading brand in this domain, offering comprehensive and high-quality solutions that empower professionals to proactively predict and mitigate risks. We aim to be the go-to provider for AI risk modules integrated with existing product risk management systems, driving efficiency and safety in product development. Ultimately, we want RDQCC to be synonymous with cutting-edge technology that safeguards the well-being of users and patients worldwide.

Tell us, what’s next for RDQCC.

The future for RdQCC holds exciting prospects. In the short term, we aim to consolidate our position as the foremost brand in AI-powered product risk management, continuing to serve professionals in medical device and complex system development. Our immediate goal is to pioneer AI risk modules for existing product risk management systems, further as a risk data center for medical devices. Looking ahead, our long-term vision is to establish RdQCC as the premier provider of AI-powered product development systems globally. We plan to continuously improve our training data, establish collaborations, and create innovative AI-powered solutions to accelerate product development while minimizing risks.

Q. Is there anything you would like to add before we wrap up?

I would like to speak to innovators and take risks since we are watching your back.

For more information, visit:

www.rdqcc.com & https://www.linkedin.com/in/jerry-jinxing-xiao-44809613/

 and write to jxiao@rdpdm.com.

Jerry (Jinxing) Xiao | Owner of RdQCC

Jerry (Jinxing) Xiao has been consulting for a wide array of top medical device companies, including Medtronic, J&J (Biosense Webster, Ethicon, Abiomed), Philips Healthcare, Becton Dickinson, Zimmer Biomet, Abbott, DJO Global, and ICU Medical. He also provides support to small to medium-sized companies, such as Syncardia, Verb Surgical (Google+JnJ), Intouch Health, Vyaire Medical, etc.

His expertise in product risk management covers critical devices like Total Artificial Heart, Heart Pump, Pacemaker, Implantable Cardioverter Defibrillator (ICD), Robotic Surgical, Pump (Insulin, Infusion), Ventilator, Orthopedic Product, Lead, etc.

Jerry (Jinxing) Xiao holds ASQ certifications and a Master Degree in Quality System Engineering.

“Our AI-powered solutions including the risk search engine, risk chat, and embedded solution are revolutionizing how professionals in the medical device industry predict and mitigate risks.”