The regulatory environment at the US Food and Drug Administration (“FDA”) has a tremendous impact on how companies operate, and consequently data on that environment can be quite useful in business planning.  In keeping with the theme of these posts of unpacking averages, it’s important to drill down sufficiently to get a sense of the regulatory environment in which a particular company operates rather than rely on more global averages for the entire medical device industry.  On the other hand, getting too specific in the data and focusing on one particular product category can prevent a company from seeing the forest for the trees.

Recently, I was asked by companies interested in the field of digital medical devices used in the care of people with diabetes to help them assess trends in the regulatory environment.  To do that, I decided to create an index that would capture the regulatory environment for medium risk digital diabetes devices, trying to avoid getting too specific but also avoiding global data on all medical devices.  In this sense, the index is like any other index, such as the Standard & Poor 500, which is used to assess the economic performance of the largest companies in terms of capitalization.  My plan was to first define an index of product codes for these medium risk digital diabetes products, then use that index to assess the regulatory environment in both premarket and postmarket regulatory requirements.
Continue Reading Unpacking Averages: Creating an Industry-Specific Index to Track the FDA Regulatory Environment

The motivation for this month’s post was my frustration with the techniques for searching the FDA’s 510(k) database.  Here I’m not talking about just using the search feature that FDA provides online. Instead, I have downloaded all of the data from that database and created my own search engine, but there are still inherent limitations in what the data contain and how they are structured.  For one, if you want to submit a premarket notification for an over-the-counter product, it really isn’t easy to find predicates that are specifically cleared for over-the-counter without a lot of manual work.

To see if I could find an easier way, I decided to use the database FDA maintains for unique device identifiers, called the Global Unique Device Identification Database (GUDID).  You can search that database using the so-called AccessGUDID through an FDA link that takes you to the NIH where the database is stored. That site only allows for pretty simple search, so for what I needed to do, I downloaded the entire database so I could work directly on the data myself.

While the UDI database is enormous at this juncture (over 3 million products), what I found left me with questions about just how comprehensive and complete the data are.  At the same time, it seems like a good way to supplement the information that can be gleaned from the 510(k) database.
Continue Reading Unpacking Averages: Finding Medical Device Predicates Without Using FDA’s 510(k) Database

You might be thinking, that’s an odd title: obviously FDA’s breakthrough device designation is helpful.  However, after looking at the data, my conclusion is that I would avoid the breakthrough device designation for any product that qualifies for the 510(k) process.  The process is likely not helpful for such devices.

[Update – August 3, 2022: See the bottom of this post.]

Continue Reading Unpacking Averages: Assessing Whether FDA’s Breakthrough Device Designation Is Helpful

It is common for FDA and others to show a map of the United States with the states color-coded by intensity to showcase the total number of inspections done in that state.  Indeed, FDA includes such a map in its newly released dashboard for FDA inspections.  In reviewing that map with the U.S. map color-coded to reflect where medical device establishments are located, do you notice anything?  Not to destroy the suspense for you, but it turns out that FDA tends to inspect where medical device inspection facilities are located.  Really.

We wanted to get beneath those numbers in two ways.  First, it’s much more informative to look at the data at a county level because there’s actually quite a bit of variation county by county.  Second, and more importantly, we wanted to normalize the inspection data by the number of facilities.  In other words, by looking at inspections per facility, we can get a better sense of the inspection frequency in each county.

Continue Reading Unpacking Averages: Likelihood of FDA Medical Device Inspections

This month, we’re going to look at a visualization that uses network techniques. Visualizing a network is a matter of nodes and edges. If the network were Facebook, the nodes would be people, and the edges would be the relationships between those people. Instead of people, we are going to look at specific device functionalities as defined by the product codes. And instead of relationships, we are going to look at when device functionalities (i.e., product codes) are used together in a marketed device as evidenced by a 510(k) submission.

Continue Reading Unpacking Averages: Popular Ways to Combine Device Functionality

In this column, in the coming months we are going to dig into the data regarding FDA regulation of medical products, deeper than the averages that FDA publishes in connection with its user fee obligations.  For many averages, there’s a high degree of variability, and it’s important for industry to have a deeper understanding.  In

Many physicians rely on publicly available reports to assess the safety of the devices they use on patients, but in some cases, these reports aren’t painting the full picture.  A recent Kaiser Health News (“KHN”) article raises serious questions about FDA’s practice of allowing a significant number of medical device injury and malfunction reports to

On February 15, 2019, the U.S. Food and Drug Administration (“FDA”) finalized two guidance documents regarding regenerative medicine therapies (see FDA’s announcement here). This development comes nearly 14 months after FDA issued both guidance documents in draft form, which also coincided with FDA’s announcement of a new comprehensive regenerative medicine policy framework intended to