PlainPharmaWatch
CMS PY 2024 Company profile Open Payments data

BAYLIS MEDICAL TECHNOLOGIES INC.

BAYLIS MEDICAL TECHNOLOGIES INC. reported $71.7K in payments to physicians and teaching hospitals across 125 transactions in CMS Open Payments PY 2024.

Pharmaceutical payment transparency data for BAYLIS MEDICAL TECHNOLOGIES INC.. Ranked #1187 of 1,797 companies by total payments. Source: CMS Open Payments, Program Year 2024.

Payment Overview

Total Payments

$71.7K

0.0% of all payments

Transactions

125

$573.50 avg

Recipients

125

$573.50 avg

Industry Rank

#1187

of 1,797 companies

What the Data Shows for BAYLIS MEDICAL TECHNOLOGIES INC.

In Program Year 2024, BAYLIS MEDICAL TECHNOLOGIES INC. reported $71,687.27 in payments to 125 physicians and teaching hospitals across 125 individual transactions — an average of $573.50 per transaction and $573.50 per recipient. That total places BAYLIS MEDICAL TECHNOLOGIES INC. at rank #1187 out of 1,797 companies in the CMS Open Payments database, representing 0.0% of all industry payments reported nationwide for the year. Payment volume at this scale is characteristic of manufacturers with broad prescriber engagement, active clinical research programs, or patented therapies generating ongoing royalty obligations.

The payment mix for BAYLIS MEDICAL TECHNOLOGIES INC. spans 2 distinct categories defined by CMS — including general payments (consulting, speaker fees, meals, travel), research payments tied to clinical trials, and ownership or investment interests. The largest single category is "Consulting Fee" at $67.5K, accounting for 94.2% of the company's reported total and 8 transactions. This distribution matters because different payment types carry different regulatory and ethical implications: research funding supports clinical development, while general payments like meals and speaker fees have been studied for their correlation with prescribing patterns in peer-reviewed journals such as JAMA Internal Medicine.

Recipient concentration is another useful lens. The top 5 recipients of payments from BAYLIS MEDICAL TECHNOLOGIES INC. received $0.00 combined — 0.0% of the company's total — with the remaining 100.0% distributed across the rest of the 125 recipients. A relatively distributed top-5 share suggests broader engagement across the prescriber community rather than concentration among a handful of high-value relationships. All figures above are drawn directly from the CMS Open Payments Public Use Files for PY2024 and are disclosed under the Physician Payments Sunshine Act; this page summarizes reported financial transfers and does not represent medical advice or judgment about individual prescribing decisions.

Payment Breakdown by Type

BAYLIS MEDICAL TECHNOLOGIES INC. made 2 types of payments. "Consulting Fee" accounts for 94.2%.

Consulting Fee $67.5K

94.2% · 8 transactions

Food and Beverage $4.2K

5.8% · 117 transactions

Payment Type Amount Transactions
Consulting Fee $67.5K 8
Food and Beverage $4.2K 117

Payment Size Analysis

Average transaction size: $573.50. Average per recipient: $573.50.

Total Amount

$71,687.27

Avg per Transaction

$573.50

Avg per Recipient

$573.50

Payment Transparency Context

The Physician Payments Sunshine Act (part of the Affordable Care Act) requires pharmaceutical and medical device manufacturers to report payments and transfers of value to physicians and teaching hospitals. These payments can include consulting fees, research grants, speaker fees, food and beverages, travel, royalties, and other forms of compensation.

Industry Total (2024)

$13.3B

across 1,797 companies

BAYLIS MEDICAL TECHNOLOGIES INC. Share

0.0%

#1187 by total payments

Frequently Asked Questions

How much did BAYLIS MEDICAL TECHNOLOGIES INC. pay to physicians and hospitals in 2024?
BAYLIS MEDICAL TECHNOLOGIES INC. made $71,687.27 in payments to physicians and hospitals in Program Year 2024, across 125 individual transactions. This represents 0.0% of all industry payments reported to CMS Open Payments.
How many physicians received payments from BAYLIS MEDICAL TECHNOLOGIES INC.?
BAYLIS MEDICAL TECHNOLOGIES INC. made payments to 125 physicians and teaching hospitals in 2024. The average payment per recipient was $573.50.
What types of payments did BAYLIS MEDICAL TECHNOLOGIES INC. make?
BAYLIS MEDICAL TECHNOLOGIES INC. made 2 different types of payments. The largest category was "Consulting Fee" at $67.5K, representing 94.2% of all payments.
How does BAYLIS MEDICAL TECHNOLOGIES INC. rank among pharmaceutical companies?
BAYLIS MEDICAL TECHNOLOGIES INC. ranks #1187 out of 1,797 companies by total payment amount in the CMS Open Payments database for 2024.
What is the average payment size from BAYLIS MEDICAL TECHNOLOGIES INC.?
The average transaction from BAYLIS MEDICAL TECHNOLOGIES INC. was $573.50 in 2024. The company made 125 total transactions to 125 recipients.
Are the top recipients concentrated for BAYLIS MEDICAL TECHNOLOGIES INC.?
The top 5 recipients received $0.00 from BAYLIS MEDICAL TECHNOLOGIES INC., representing 0.0% of the company's total payments. Payments are relatively well-distributed across recipients.
Where does the payment data for BAYLIS MEDICAL TECHNOLOGIES INC. come from?
This data comes from the CMS Open Payments program (Sunshine Act), which requires pharmaceutical and medical device companies to report payments and transfers of value to physicians and teaching hospitals. The data covers Program Year 2024.

Data Source: Centers for Medicare & Medicaid Services (CMS) Open Payments, Program Year 2024. Data includes general payments, research payments, and physician ownership/investment interests as required by the Physician Payments Sunshine Act. Total industry payments: $13.3B across 1,797 companies.

Related

Data sourced from official U.S. government datasets. See our methodology for details. Retrieved and formatted by PlainPharmaWatch Editorial

Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the CMS Open Payments program. Consult a qualified professional before making decisions based on this data.