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iRVU (v. 1.15)
e-MedTools опубликовал приложение 2010-12-29
(обновлено 2011-12-04)
Productivity matters! Let iRVU track RVUs for you.
Physician income relies on productivity. Know your worth!
With over 70% of physicians getting paid on the basis of work RVUs, tracking your own productivity is essential to know what your productivity pay will be.
iRVU lets you track work RVUs (Relative Value Units) for inpatient medical services like new patient H&Ps, critical care, consults, and follow up visits at the point of care.
Just type in the number of each type of patient encounter you perform, and iRVU does the work for you.
Just type in the number of new patient encounter for each coding level, and iRVU will automatically calculate your total RVUs, RVUs per encounter, Medicare charges, and Medicare charges per encounter.
iRVU is a critical tool for monitoring the value of work you perform.
Clinical productivity is often measured in terms of work relative value units (wRVUs), a measure defined by Medicare’s Resource Based Relative Value Scale. Each Medicare reimbursed medical service in the Current Procedural Terminology (CPT) system is assigned a wRVU value. Some services, such as hospital admission, are subdivided into levels of service (CPT codes 99221-99223) that correspond to increasing complexity of medical care and wRVUs. Determination of the appropriate level of service based on the medical care documented is complex, even for certified coding professionals. One found only 58% agreement on the appropriate coding level between experienced and certified coding professionals [King 2002]. Few physicians receive training in documentation and coding rules during medical school or residency, and often learn on the job.
These factors make appropriate medical documentation and coding key to practice survival. It can improve apparent productivity (wRVU generation) without increasing the workload (more patient encounters). Medical documentation audits demonstrate that physicians undercode as much as 19-33% of the time based on what is documented in the medical record [Kikano 2000, Holt 2010]. Using medical decision making as an indicator of the appropriate encounter level that could have been coded, other investigators have found that 80% of medical records are under-coded [Holt 2010].
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