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Dr. Jesse  Roach Iii Md image

Dr. Jesse Roach Iii Md

600 Highland Ave
Madison WI 53792
608 636-6420
Medical School: Medical University Of South Carolina College Of Medicine - 2001
Accepts Medicare: Yes
Participates In eRX: Yes
Participates In PQRS: Yes
Participates In EHR: Yes
License #: 54320
NPI: 1003930553
Taxonomy Codes:
2080P0210X

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Awards & Recognitions

About Us

Practice Philosophy

Conditions

Dr. Jesse Roach is associated with these group practices

Procedure Pricing

HCPCS Code Description Average Price Average Price
Allowed By Medicare
HCPCS Code:90935 Description:Hemodialysis one evaluation Average Price:$526.00 Average Price Allowed
By Medicare:
$67.25
HCPCS Code:99232 Description:Subsequent hospital care Average Price:$202.00 Average Price Allowed
By Medicare:
$67.75

HCPCS Code Definitions

90935
Hemodialysis procedure with single evaluation by a physician or other qualified health care professional
99232
Subsequent hospital care, per day, for the evaluation and management of a patient, which requires at least 2 of these 3 key components: An expanded problem focused interval history; An expanded problem focused examination; Medical decision making of moderate complexity. Counseling and/or coordination of care with other physicians, other qualified health care professionals, or agencies are provided consistent with the nature of the problem(s) and the patient's and/or family's needs. Usually, the patient is responding inadequately to therapy or has developed a minor complication. Typically, 25 minutes are spent at the bedside and on the patient's hospital floor or unit.

Medical Malpractice Cases

None Found

Medical Board Sanctions

None Found

Referrals

NPI
Doctor Name
Specialty
Count
1659322048
Nephrology
471
1962463315
Nephrology
253
1639186463
Diagnostic Radiology
196
1366497406
Diagnostic Radiology
135
*These referrals represent the top 10 that Dr. Roach has made to other doctors

Publications

Multiwell CO2 injectivity: impact of boundary conditions and brine extraction on geologic CO2 storage efficiency and pressure buildup. - Environmental science & technology
CO2 storage efficiency is a metric that expresses the portion of the pore space of a subsurface geologic formation that is available to store CO2. Estimates of storage efficiency for large-scale geologic CO2 storage depend on a variety of factors including geologic properties and operational design. These factors govern estimates on CO2 storage resources, the longevity of storage sites, and potential pressure buildup in storage reservoirs. This study employs numerical modeling to quantify CO2 injection well numbers, well spacing, and storage efficiency as a function of geologic formation properties, open-versus-closed boundary conditions, and injection with or without brine extraction. The set of modeling runs is important as it allows the comparison of controlling factors on CO2 storage efficiency. Brine extraction in closed domains can result in storage efficiencies that are similar to those of injection in open-boundary domains. Geomechanical constraints on downhole pressure at both injection and extraction wells lower CO2 storage efficiency as compared to the idealized scenario in which the same volumes of CO2 and brine are injected and extracted, respectively. Geomechanical constraints should be taken into account to avoid potential damage to the storage site.
Using race as a case-mix adjustment factor in a renal dialysis payment system: potential and pitfalls. - American journal of kidney diseases : the official journal of the National Kidney Foundation
Racial disparities in health care are widespread in the United States. Identifying contributing factors may improve care for underserved minorities. To the extent that differential utilization of services, based on need or biological effect, contributes to outcome disparities, prospective payment systems may require inclusion of race to minimize these adverse effects. This research determines whether costs associated with end-stage renal disease (ESRD) care varied by race and whether this variance affected payments to dialysis facilities.We compared the classification of race across Medicare databases and investigated differences in cost of care for long-term dialysis patients by race.Medicare ESRD database including 890,776 patient-years in 2004-2006.Patient race and ethnicity.Costs associated with ESRD care and estimated payments to dialysis facilities under a prospective payment system.There were inconsistencies in race and ethnicity classification; however, there was significant agreement for classification of black and nonblack race across databases. In predictive models evaluating the cost of outpatient dialysis care for Medicare patients, race is a significant predictor of cost, particularly for cost of separately billed injectable medications used in dialysis. Overall, black patients had 9% higher costs than nonblack patients. In a model that did not adjust for race, other patient characteristics accounted for only 31% of this difference.Lack of information about biological causes of the link between race and cost.There is a significant racial difference in the cost of providing dialysis care that is not accounted for by other factors that may be used to adjust payments. This difference has the potential to affect the delivery of care to certain populations. Of note, inclusion of race into a prospective payment system will require better understanding of biological differences in bone and anemia outcomes, as well as effects of inclusion on self-reported race.Copyright © 2010 National Kidney Foundation, Inc. All rights reserved.
A compartmental-spatial system dynamics approach to ground water modeling. - Ground water
High-resolution, spatially distributed ground water flow models can prove unsuitable for the rapid, interactive analysis that is increasingly demanded to support a participatory decision environment. To address this shortcoming, we extend the idea of multiple cell (Bear 1979) and compartmental (Campana and Simpson 1984) ground water models developed within the context of spatial system dynamics (Ahmad and Simonovic 2004) for rapid scenario analysis. We term this approach compartmental-spatial system dynamics (CSSD). The goal is to balance spatial aggregation necessary to achieve a real-time integrative and interactive decision environment while maintaining sufficient model complexity to yield a meaningful representation of the regional ground water system. As a test case, a 51-compartment CSSD model was built and calibrated from a 100,0001 cell MODFLOW (McDonald and Harbaugh 1988) model of the Albuquerque Basin in central New Mexico (McAda and Barroll 2002). Seventy-seven percent of historical drawdowns predicted by the MODFLOW model were within 1 m of the corresponding CSSD estimates, and in 80% of the historical model run years the CSSD model estimates of river leakage, reservoir leakage, ground water flow to agricultural drains, and riparian evapotranspiration were within 30% of the corresponding estimates from McAda and Barroll (2002), with improved model agreement during the scenario period. Comparisons of model results demonstrate both advantages and limitations of the CCSD model approach.

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600 Highland Ave Madison, WI 53792
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