KATIE WEIDNER RT(R)(CT)
NPI 1811354301
Radiologic Technologist - Computed Tomography in Green Bay, WI
NPI Status: Active since January 28, 2016
Contact Information
744 S WEBSTER AVE
GREEN BAY, WI
ZIP 54301
Phone: (920) 433-3411
- Individual
- Female
- Radiologic Technologist
- Computed Tomography
About KATIE WEIDNER
This page provides the complete NPI Profile along with additional information for Katie Weidner, a provider established in Green Bay, Wisconsin with a medical specialization in Radiologic Technologist, focusing in computed tomography . The healthcare provider is registered in the NPI registry with number 1811354301 assigned on January 2016. The practitioner's primary taxonomy code is 2471C3401X with license number 427695 (WI). The provider is registered as an individual and her NPI record was last updated 10 years ago.
- NPI
- 1811354301
- Provider Name
- KATIE WEIDNER RT(R)(CT)
- Gender
- Female
- Entity Type
- Individual
- Location Address
- 744 S WEBSTER AVE GREEN BAY, WI 54301
- Location Phone
- (920) 433-3411
- Mailing Address
- 2586 GEMINI RD GREEN BAY, WI 54311
- Mailing Phone
- (920) 217-6212
- Is Sole Proprietor?
- No
- Enumeration Date
- 01-28-2016
- Last Update Date
- 01-28-2016
- Code Navigator
Location Map
Specialty - Primary Taxonomy
The NPI enumerator requires providers to submit at least one taxonomy code. A taxonomy code is a unique 10-character code that describes the healthcare provider type, classification, and the area of specialization. There could be only one primary taxonomy code per NPI record. For individual NPIs the license data is associated to the taxonomy code.
- Classification
Radiologic Technologist Computed Tomography
- Taxonomy Code
- 2471C3401X
- Type
- Technologists, Technicians & Other Technical Service Providers
- License No.
- 427695
- License State
- WI
- Taxonomy Description
- A radiologic technologist who specializes in computed tomography (CT) and is appropriately educated and trained, consistent with nationally recognized standards, state statute, and facility policy in performance of CT imaging, exam techniques, equipment protocols, radiation safety, and patient care.
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NPI NPI Number Validation
How NPI Validation Works
The NPI validation process uses the ISO-standard Luhn algorithm, a mathematical "handshake", to ensure that a provider's 10-digit ID is authentic and free of common typing errors.
To verify the NPI 1811354301, we treat the final digit (1) as the Check Digit—the target answer we need to reach. The process begins by taking the first nine digits and adding a constant value of 24, which accounts for the "80840" prefix required for all U.S. health identifiers. We then double every other digit starting from the right and sum the individual digits of those results together. For this specific NPI, that total comes to 59. The final step is to find the difference between that total and the next multiple of ten (60 - 59 = 1).
Digit-by-digit view
Use the first nine digits for the calculation. Starting from the right, double every other digit. The last digit is the check digit and is not part of the calculation.
Step 1: Double every other digit from the right
Starting with the rightmost digit of the first nine digits, double every other value. If doubling creates a two-digit number, add those digits together.
Step 2: Add all digits plus the NPI constant
Add the transformed values, the unchanged digits, and the constant 24.
Step 3: Find the amount needed to reach the next multiple of 10
The next multiple of ten after 59 is 60. The difference is the calculated check digit.
Other Providers at the Same Location
The following 20 providers are registered at the same or a nearby location.
GREEN BAY, WI 54301
GREEN BAY, WI 54301
GREEN BAY, WI 54301
GREEN BAY, WI 54301
GREEN BAY, WI 54301
Frequently Asked Questions
The NPI number assigned to this healthcare provider is 1811354301, enumerated as an "individual" on January 28, 2016.
The provider is located at 744 S WEBSTER AVE GREEN BAY, WI 54301 and the phone number is (920) 433-3411.
Radiologic Technologist with taxonomy code 2471C3401X and a focus in Computed Tomography.