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Unpacking Averages: How Old Are Medical Devices on the US Market?

This month, I explore just how old medical devices are as measured by the date they were cleared or approved by the FDA, using the Global Unique Device Identification Database....more

Unpacking Averages: Is It Too Soon to Study the Postmarket Experience of AI-Driven Medical Devices?

I may be jumping the gun here, but I’m anxious to understand how the new flurry of AI medical devices is performing in the marketplace, or more specifically, whether the devices are failing to perform in a way that...more

Unpacking Averages: Intended Use Words Most Common to Devices That Require Clinical Trials

When I was working on my Masters in data science, one of the projects I did was to create an algorithm that would take an intended use statement for a medical device and predict whether FDA would require a clinical trial.  It...more

Unpacking Averages: Growth of AI/ML in Medicine as Evidenced by Clinical Trials

Most people have seen the growth in artificial intelligence/ machine learning (AI/ML)-based medical devices being cleared by FDA. ...more

Unpacking Averages: Assessing the Products Included in FDA's Voluntary Malfunction Summary Reporting Program

At the end of 2022, FDA published a draft guidance on Voluntary Malfunction Summary Reporting (VMSR) Program for Manufacturers. The draft guidance explains several aspects of the VMSR Program, including FDA’s approach to...more

HHS Extends the Antidiscrimination Provisions of the Affordable Care Act to Patient Care Decision Support Tools, Including...

Turns out, ignorance really is bliss, at least according to the Office of Civil Rights (“OCR”) within the Department of Health and Human Services (“HHS”), in publishing its final rule on algorithmic discrimination by payers...more

Unpacking Averages: Adverse Events for Device-Lead Combination Products

Combination products present a tremendous opportunity to improve health outcomes, because they leverage multiple disciplines.  If we were, for example, to focus on drugs alone with little thought to how they might be...more

Unpacking Averages: Analyzing FDA’s Performance in Finalizing Guidance Documents

FDA’s January 3, 2024, Federal Register notice soliciting comments on the agency’s plan to implement best practices for guidance development got me thinking.  What do the data show regarding FDA’s performance in moving...more

Unpacking Averages: Device Manufacturers Should Use the Newly Released Demographic Data in MDRs to Ensure Their Devices Are Not...

As you may know, we have been submitting FOIA requests asking FDA to share data from its various programs.  In October, FDA granted our April FOIA request in which we asked the agency to add back demographic data fields that...more

Unpacking Averages: The Seasonality of FDA 510(k) Decision-Making and the Impact of Michigan Playing for a National Championship

Frequently, I am asked by clients to predict how long it will take for FDA to review and clear a 510(k).  At a high level, I observe that on average clearance can take 160 days according to the data.  Then, beyond that, I...more

Unpacking Averages: Analyzing FDA Device-Related Citizens Petitions by Topic

Those who have been reading this blog know that I like to analyze collections of documents at FDA to discern, using natural language processing, whether, for example, the agency takes more time to address certain topics than...more

Unpacking Averages: Sample Size for Clinical Trials Used to Obtain FDA Medical Device Clearance

Our latest focus is trying to bring data to bear on common questions we get asked by clients. Last month the topic was: how well does my device need to perform to get premarket clearance from FDA? This month it is: how big...more

White House Executive Order on Artificial Intelligence: Implications for the Health Care and Life Sciences Industries

On October 30, 2023, President Joe Biden signed the first ever Executive Order (EO) that specifically directs federal agencies on the use and regulation of Artificial Intelligence (AI). A Fact Sheet for this EO is also...more

Unpacking Averages: FDA’s Extraordinary Delay in Resolving Citizen Petitions

This month I wanted to take a data-driven look at FDA’s treatment of citizen petitions, and specifically as a starting point how quickly the agency resolves those petitions.  Make no mistake, I have an interest in this...more

Unpacking Averages: How Accurate Do Class II Medical Devices Need to Be to Obtain 510(k) Clearance?

It’s common for a client to show up at my door and explain that they have performance data on a medical device they have been testing, and for the client to ask me if the performance they found is adequate to obtain FDA...more

FDA Oversight of AI Software Developed by Health Care Providers

Introduction - Hardly a day goes by when we don’t see some media report of health care providers experimenting with machine learning, and more recently with generative AI, in the context of patient care. The allure is...more

Unpacking Averages: Analyzing the Relationship Between MDRs and Recalls

Recently Colleen and Brad had a debate about whether Medical Device Reports (“MDRs”) tend to trail recalls, or whether MDRs tend to lead to recalls. Both Colleen and Brad have decades of experience in FDA regulation, but we...more

Unpacking Averages: Searching for Bias in Word Embeddings Trained on FDA Regulatory Documents

This post explores how bias can creep into word embeddings like word2vec, and I thought it might make it more fun (for me, at least) if I analyze a model trained on what you, my readers (all three of you), might have written....more

[Virtual Briefing] Achieving Legal Compliance in AI: Minimizing Bias in Algorithms - June 29th, 1:00 pm - 3:30 pm ET

We’ve all heard troubling stories involving emerging tools powered by artificial intelligence (AI), in which algorithms yield unintended, biased, or erroneous results. Here are a few examples: - A monitoring tool for...more

Unpacking Averages: Understanding the Potential for Bias in a Sepsis Prediction Algorithm, a Case Study

Would it surprise you if I told you that a popular and well-respected machine learning algorithm developed to predict the onset of sepsis has shown some evidence of racial bias? How can that be, you might ask, for an...more

Unpacking Averages: Success Rates for FDA FOIAs by Topic and Requester

In prior posts here and here, I analyzed new data obtained from FDA through the Freedom of Information Act about FOIA requests. I looked at response times and then started to dive into the topics that requesters were asking...more

Unpacking Averages: FDA FOIA Response Times by Topic of Request

Continuing my three-part series on FOIA requests using a database of over 120,000 requests filed with FDA over 10 years (2013-22), this month’s post focuses on sorting the requests by topic and then using those topics to dive...more

Unpacking Averages: Exploring New Data on FDA Responses to FOIA Requests

Federal agencies in health care publish large amounts of data, and my posts typically analyze that data.  To provide more value to readers, I’ve started submitting FOIA requests for unpublished data to produce additional...more

Podcast: Unpacking FDA's Final Clinical Decision Support Guidance - Diagnosing Health Care [Video]

The U.S. Food and Drug Administration (FDA) recently issued a final guidance document clarifying how the agency intends to regulate clinical decision support (CDS) software. How has this document caused confusion for...more

Unpacking Averages: Using NLP to Assess FDA’s Compliance with Notice and Comment in Guidance Development

Introduction - Let’s say FDA proposed a guidance document that would change the definition of “low cholesterol” for health claims. Now let’s say that when FDA finalized the guidance, instead of addressing that topic, FDA...more

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