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Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/96883, first published .
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Within-Provider Variation in Prices for Commonly Utilized Services in Office Setting: Cross-Sectional Study

Within-Provider Variation in Prices for Commonly Utilized Services in Office Setting: Cross-Sectional Study

Authors of this article:

Yuvraj Pathak1 Author Orcid Image ;   David Muhlestein1 Author Orcid Image

Simple Healthcare, 465 N Carolina Run, Sanford, FL, United States

*all authors contributed equally

Corresponding Author:

Yuvraj Pathak, PhD


Our study uses the latest Transparency in Coverage data to show that there is wide variation in health care prices for some of the most commonly utilized services in the United States. The findings demonstrate that there is an opportunity for employers, policymakers, and other stakeholders to curb health care spending by choosing cost-efficient health care networks and providers.

Interact J Med Res 2026;15:e96883

doi:10.2196/96883

Keywords



Health care prices in the United States have historically been hidden from the public hindering meaningful analysis of health care markets and prices. This matters because prices impact access to care and are a major driver of high health care spending [1,2].

The information landscape began to change with first price transparency rule, Hospital Price Transparency (HPT) in 2021 which required hospitals to disclose prices of a select set of services. Then, in 2022, the Transparency in Coverage (TiC) rule began to require insurers to release negotiated rates for all covered services.

These datasets have proven valuable in shedding light on variation in health care prices. HPT data has been used to demonstrate large variation in prices for urological procedures [3], and radiology services [4], among others. Recent studies have begun to exploit more comprehensive TiC data and show wide variation in prices for inpatient and outpatient services [5], within hospitals for commonly provided services [6], among others.

We assess the within-provider variation in prices for the top 20 most commonly services in an office setting and find that the average difference between the minimum and maximum rates is 40% of the national Medicare rate. Our results complement Wang et al (2024) study which examines within-hospital price variation for inpatient and outpatient services and finds that difference between minimum and maximum prices negotiated by hospitals to be 86% and 222% of Medicare rates, respectively [6].


We downloaded the machine-readable files for the largest national payers (Cigna, Aetna, United Healthcare, various Blue Cross and Blue Shield plans) for the third quarter of 2025.

These files contain information on negotiated rates for all covered services along with identifying information on provider tax identification number (TIN), payer name and plan type.

We removed duplicates and ‘ghost rates’—negotiated rates corresponding to a provider for a service they are unlikely to ever bill for,—which are common in TiC data following the established methodology from published literature [7].

This analysis focuses on the top twenty most commonly utilized HCPCS ((Healthcare Common Procedure Coding System) codes in an office setting (determined based on national Medicare data and Colorado and New Hampshire’s All-Payer Claims databases). To limit the influence of outliers, we exclude rates below the 1st percentile and above the 99th percentile for each billing code and restrict the sample to billing code–TIN combinations with at least two negotiated rates.

The analysis data consists of approximately 5.6 million negotiated rates for 20 HCPCS codes in an office place of service. Table 1 shows the distribution of negotiated rates by billing codes.

Table 1. Percentiles and counts of negotiated rates by billing codes.
Billing codeBilling code descriptionPercentiles ($)Standard deviationSkewnessNo. of negotiated rates
10th25th50th75th90th
36415Collection of venous blood by venipuncture$1.80$2.91$3.00$5.50$8.212.521.16252,841
80048Basic metabolic panel (BMP)$4.23$5.19$6.77$9.31$12.823.561.44129,614
80053Comprehensive metabolic panel (CMP)$5.08$6.04$8.12$11.49$15.654.461.42136,811
80061Lipid panel$5.62$7.74$10.71$15.00$20.956.341.43175,161
83036Hemoglobin A1c test$4.67$5.70$7.77$10.85$14.864.241.42183,042
84443Thyroid stimulating hormone (TSH) test$7.06$9.65$13.44$18.28$25.367.491.34148,063
85025Complete blood count (CBC) with differential$4.63$5.44$6.29$8.70$11.963.151.47187,763
85610Prothrombin time (PT/INR)$2.61$3.00$4.29$5.50$6.931.721.22145,974
88305Surgical pathology examination, moderate complexity (eg, biopsy tissue exam)$40.94$53.50$71.84$102.59$131.4941.501.4342,117
90471Immunization administration (1 vaccine)$12.00$14.72$19.63$26.80$33.829.011.02211,824
93010Electrocardiogram (ECG/EKG) interpretation and report$7.79$9.36$12.16$14.94$17.564.191.0988,739
97110Therapeutic exercises (physical therapy), 15 minutes$20.80$24.64$29.66$34.99$45.9110.721.61215,203
97112Neuromuscular reeducation, 15 minutes$23.10$27.31$32.49$38.96$50.7712.041.58210,790
97140Manual therapy techniques (eg, mobilization), 15 minutes$19.14$22.55$27.24$32.48$42.5910.201.62218,521
97530Therapeutic activities, 15 minutes$24.93$29.71$36.50$43.32$56.5313.601.46145,810
98941Chiropractic manipulation, 3‐4 spinal regions$24.43$30.65$40.53$54.19$66.1816.630.7755,689
99203New patient office visit, moderate complexity$73.50$86.70$107.86$130.09$163.6636.601.08717,830
99212Established patient office visit, low complexity$28.66$36.22$46.53$58.03$72.9117.420.89708,342
99213Established patient office visit, low-moderate complexity$52.06$61.28$76.02$94.90$118.3526.581.01808,269
99214Established patient office visit, moderate complexity$75.95$90.31$110.02$138.66$172.7638.731.03805,806

We first calculate the mean, median, minimum, and maximum rates at the provider TINs and billing code level. These represent the calculated measures of prices a provider is willing to accept across insurers for a billing code.

We then take the average of these estimates across provider TINs at the billing code level to calculate the mean, median, minimum, and maximum rate a provider is willing to accept for a billing code on average.

We define the range of rates as the difference between the average minimum and average maximum rates divided by the national Medicare rate for each billing code.

Ethical Considerations

This study is exempt from ethics review, as all data used is publicly available. The study uses data on health care prices released by insurers and does not involve any human subjects. It is thus exempt from institutional review board.


Table 2 shows the average mean, median, minimum, and maximum –negotiated rates for the top 20 billing codes. All four summary statistics are unweighted averages and represent the average of the respective summary statistics across all provider TINs at the billing code level. Out of the 20 billing codes, difference between the maximum and minimum rate is greater than or equal to 50% of the national Medicare rate for four billing codes - 80048 (Basic Metabolic Panel), 80061 (Lipid Panel), 85610 (Prothrombin Time), and 88305 (Surgical Pathology).

Table 2. Average of the mean, median, minimum, maximum values, and estimated range of negotiated rates, by billing code.
Billing codeBilling code descriptionMeanMedianMinimumMaximumMedicare rate% (Max. Min.) ÷ MedicareStandard deviationSkewness
(averaged over provider TINs)a
36415Collection of venous blood byvenipuncture$4.36$4.29$3.18$5.64$9.09272.521.16
80048Basic metabolic panel (BMP)$7.97$7.88$5.94$10.14$8.46503.561.44
80053Comprehensive metabolic panel (CMP)$9.30$9.25$7.15$11.54$10.56424.461.42
80061Lipid panel$12.42$12.20$9.02$16.15$13.39536.341.43
83036Hemoglobin A1c test$8.55$8.48$6.70$10.49$9.71394.241.42
84443Thyroid stimulating hormone (TSH) test$14.97$14.97$11.21$18.76$16.80457.491.34
85025Complete blood count (CBC) with differential$7.72$7.60$6.03$9.61$7.77463.151.47
85610Prothrombin time (PT/INR)$4.61$4.36$3.41$6.16$4.29641.721.22
88305Surgical pathology examination, moderate complexity (eg, biopsy tissue exam)$75.08$74.35$54.11$97.22$69.546241.501.43
90471Immunization administration (1 vaccine)$19.42$19.38$15.04$23.87$20.05449.011.02
93010Electrocardiogram (ECG/EKG) interpretation and report$10.67$10.64$9.27$12.13$7.76374.191.09
97110Therapeutic exercises (physical therapy), 15 minutes$28.19$28.05$23.59$33.00$28.793310.721.61
97112Neuromuscular reeducation, 15 minutes$31.37$31.18$26.36$36.62$32.023212.041.58
97140Manual therapy techniques (eg, mobilization), 15 minutes$26.06$25.90$21.75$30.57$27.173210.201.62
97530Therapeutic activities, 15 minutes$34.68$34.43$28.86$40.79$34.613413.601.46
98941Chiropractic manipulation, 3‐4 spinal regions$39.45$38.50$30.83$49.27$38.494816.630.77
99203New patient office visit, moderate complexity$116.01$115.58$99.79$132.71$109.013036.601.08
99212Established patient office visit, low complexity$50.47$50.37$41.52$59.46$54.993317.420.89
99213Established patient office visit, ow-moderate complexity$83.27$83.02$70.93$95.93$88.952826.581.01
99214Established patient office visit, moderate complexity$121.03$120.60$103.78$138.77$125.182838.731.03

aTIN: tax identification number.

Across the 20 billing codes, we find the average variation between the minimum and maximum rates to be 40 % of the Medicare rate (unweighted).


Our assessment shows that providers negotiate a wide range of prices for the same service across insurers. Thus, the same provider can be low cost for one network but high cost for another network. Our findings that prices for commonly utilized services can vary by up to 40% of the Medicare rate in an Office setting compliments existing literature that documents substantial variation in prices across and within hospitals. This highlights the importance of the choice of network and benefit design in reducing health care spending. For employers, health plans, and policymakers, our findings demonstrate that choice of networks and providers can have a substantial impact on health care spending. Future work should aim to understand how navigating patients to lower cost providers can generate potential savings.

Acknowledgments

The authors acknowledge support for this study from the Peterson Center on Healthcare.

Artificial intelligence was not used in the creation of any portion of this manuscript.

Funding

Support for this work came from The Peterson Center on Healthcare.

Data Availability

The analysis in the paper is based on data released by individual insurers under the Transparency in Coverage price transparency rule. These datasets are publicly available on insurers' websites. The authors downloaded, cleaned, and validated the datasets from individual insurers' websites.

Authors' Contributions

Conceptualization: YP, DM

Data curation: YP, DM

Formal analysis: YP, DM

Funding acquisition: YP, DM

Investigation: YP, DM

Methodology: YP, DM

Project administration: YP, DM

Resources: YP, DM

Software: YP, DM

Supervision: YP, DM

Validation: YP, DM

Visualization: YP, DM

Writing – original draft: YP, DM

Writing – review & editing: YP, DM

Conflicts of Interest

YP and DM are employed at Simple Healthcare which works with price transparency data.

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HCPCS: Healthcare Common Procedure Coding System
HPT: Hospital Price Transparency
TiC: Transparency in Coverage
TIN: tax identification number


Edited by Matthew Balcarras; submitted 01.Apr.2026; peer-reviewed by David M Anderson, Rakibul Islam; final revised version received 17.Jun.2026; accepted 18.Jun.2026; published 23.Jul.2026.

Copyright

© Yuvraj Pathak, David Muhlestein. Originally published in the Interactive Journal of Medical Research (https://www.i-jmr.org/), 23.Jul.2026.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Interactive Journal of Medical Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.i-jmr.org/, as well as this copyright and license information must be included.