Related Experiment Video
Updated: Feb 2, 2026

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects
Published on: August 4, 2020
UDI2Claims: Planning a Pilot Project to Transmit Identifiers for Implanted Devices to the Insurance Claim
Yasmin A Zerhouni, Dan C Krupka1, Jove Graham2
1Twin Peaks Group, LLC, Lexington, Massachusetts.
Background:
In response to problems with the current postmarket surveillance of medical devices, the U.S. Food and Drug Administration mandated device labelers to include a unique device identifier (UDI), composed of a device identifier (DI) and production identifier. Including the DI in insurance claims could be a potent method to monitor implanted devices, yet implementation has lagged because of questions of benefit and operational concerns.
Methods:
To illustrate the potential benefit of including DIs in claims, rates of 90-day adverse events after implantation using an electronic health record (EHR) were compared with the EHR plus claims, which capture utilization outside that EHR's health system. To explore operations, we planned a pilot project to transmit the DI of implanted devices from the point of care to the claim at two provider/payer pairs.
Results:
By querying claims plus EHR, estimated rates of patients with potential adverse events were as much as 3.75 times higher. For our pilot, our multistakeholder team identified and resolved the following five challenges: (1) capturing the DI at the point of care; (2) selecting a location for the DI on the claim form; (3) transmitting the DI to the claim form; (4) analyzing the claim forms received by the payer; and (5) verifying the quality of the transmitted information.
Conclusions:
Including DIs on claims could allow more complete data capture of adverse events for implanted devices than the EHR data. We overcame challenges in transmitting the DI to the claim with attention to planning and multistakeholder involvement.
Related Concept Videos
Testing a Claim about Mean: Known Population SD
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
Pilot and Numeric Relaying
Sexually Transmitted Infections
Fischer Projections
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...

