How Artificial Intelligence Is Driving Product Lifecycle Management

How Artificial Intelligence Is Driving Product Lifecycle Management

Today artificial intelligence (AI) is increasingly being integrated into platforms across industries, and the healthcare sector is no exception, with AI being used to support medical device Product Lifecycle Management (PLM).

The ability to apply machine learning to PLM systems can help medical device manufacturers drive insights more effectively from product data that has been collected over many months, or even years, said digital transformation provider Kalypso. This sort of “product lifecycle intelligence” applies AI and automation to help users develop predictions and to recommend improvements, ultimately allowing manufacturers to prevent costly product delays and failures.

Kalypso detailed how one top medical device manufacturer addressed its global challenges by using AI and machine learning to drive measurable business results. “By combining PLM with product lifecycle intelligence,” they said, “companies can bridge the gap in PLM analytics capability today, allowing them to understand current performance, historical averages, and the variances across different business units and functions. These insights can help them develop more meaningful customer experiences, while driving business and product value.”

A Higher Level of Guidance

AI-powered product insights platforms now exist that help companies create and market their products more effectively, and they can contribute meaningfully to every stage of the product development cycle, said AI innovator Rodrigo Pantigas, CPO and co-founder of AI-driven insights startup Birdie, in a recent article for technology news site VentureBeat. Using the right platform during the different stages of the product development cycle can help companies maximize their return on investment.

For example, when conducting competitive assessments and evaluating trends during the initial development stage, AI-driven product intelligence can provide a higher level of guidance beyond human concept testing and social listening. “Instead of latent indicators caused by surfacing reading of comments today, product intelligence platforms can crunch the totality of conversations to understand where customer preferences are going,” reported Pantigas.

Once a product has been built and is ready to launch, “the right intelligence platforms can tap into existing conversations to understand existing customer perception both about the anticipation of this launch and consumers’ ongoing opinions about the product category and competition—which can also help to identify product issues and crises early on,” said Pantigas. “It allows you to contrast your product against the competitive set, as well as identify channels that could help get your product in front of a much wider audience.”

Real-time Metrics

AI offers the ability to generate real-time metrics on a product’s health, growth, and risk factors, which is “important for successful product managers to add an additional layer of efficiency with strategic and operational decision-making,” noted Skyjed, an AI platform provider for product teams. The ability to access data about a product’s health on the fly helps teams make more effective decisions as market conditions evolve, providing them with a competitive advantage.

Dynamic Technologies has a role to play in helping your company identify and manage the lifecycles of connected hardware and software in your supply chain. Our technology supply chain management services include product sourcing, supply chain design, and management, and product procurement. Review our case studies and learn more about how we can help you with your next project.

Medical Device Cybersecurity Challenges and How to Counter Them

Cybersecurity Challenges

As cyber threats to the healthcare sector continue to ramp up in frequency and severity in the U.S. and globally, they increase the risk of rendering medical devices inoperable and disrupting patient care. In a worst-case scenario, ransomware attacks on medical devices can put protected health information at risk or even threaten lives. In this environment, healthcare cybersecurity experts report the need for improved standards and better efforts by hospitals and manufacturers to share responsibility for medical device security.

One of the challenges healthcare organizations face is defending older legacy medical devices – which often were not built with security in mind—against the growing threats of hacker attacks, according to a recent MedTech Dive article. Hospitals contend that as the end users, they bear a heavier burden for securing medical devices than medical device manufacturers do, and the American Hospital Association wants to see the Food and Drug Administration (FDA) mandate lifetime support of medical devices by manufacturers.

MedTech Dive also says the FDA has warned that unpatched medical devices “will become increasingly vulnerable to cyberattacks over time and has called for more communication from OEMs when they can no longer support software upgrades and patches needed to address their devices’ cybersecurity risks.” 

Mitigating Risk Throughout the Product Life Cycle 

According to the FDA, the need for effective cybersecurity to ensure medical device functionality and safety has become more important with the increasing use of wireless, internet- and network-connected devices; portable media like USB drives; and the frequent electronic exchange of medical device-related health information.

The agency in April released draft guidance titled “Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions,” which is intended to provide recommendations to agency staff and the industry regarding cybersecurity device design, labeling, and the documentation that the FDA recommends be included in premarket submissions for devices with cybersecurity risk.

This new draft guidance replaces an earlier 2018 draft version and is intended to further emphasize the importance of ensuring that devices are designed securely, enabling emerging cybersecurity risks to be mitigated throughout the total product life cycle, and to outline more clearly the FDA’s recommendations for premarket submission content to address cybersecurity concerns. The draft was shared for public comment between April 8 and July 7 as Docket Number FDA-2021-D-1158-0001 on the Regulations.gov website, but as of this writing, it is not yet considered final or ready for implementation.

When securing medical devices, some of the primary challenges IT departments face include non-secure device designs, standardized configurations, patching restrictions, and insider threats, according to cybersecurity solutions provider Cybeats. They recommend the following four best practices to help healthcare organizations improve the security of their medical devices:

  • Endpoint protection – Securing not only the medical device but also the endpoints they connect to, such as workstations
  • Access management – Binding device authentication to the corporate authentication system
  • Asset management – Maintaining a reliable inventory of medical devices and software components
  • Vulnerability management – Conducting a vulnerability assessment of the software deployed on medical devices and reviewing vulnerability disclosures provided by vendors

For more medical device security guidance, visit:

Read Related Dynamic Technology Solutions Content:

Supply Chain Cybersecurity: The Ukrainian War Increases Your Company’s Risk