Uniform Hospital Discharge Data Set
Medicare and Medicaid
Reported data is when, on a histogram, the bars are in disproportionate measures. So the bar graph will look all crooked and not uniform. Measured data is the opposite, when the bars on a histogram are uniform and about the same length. Height occurs in uniform order.
The Uniform Distribution.
As the word statistics it's collecting and analyzing data quantities, if we say statistics friendly it's like you are collecting data in a way that it's valuable and uniform, by making a proper decisions in a good manner.
The quality of data in a database is identified by several key factors, including accuracy, completeness, consistency, reliability, and timeliness. Accurate data reflects true values, while completeness ensures that all necessary information is present. Consistency means that data remains uniform across different datasets, and reliability indicates that data can be trusted for decision-making. Timeliness ensures that the data is up-to-date and relevant for current needs.
Uniform Hospital Discharge Data Set
Uniform Hospital Discharge Data Set (UHDDS)
The UHDDS, or Uniform Hospital Discharge Data Set, is a standardized set of data elements used to collect information on hospital discharges in the United States. It was developed to improve the consistency and comparability of hospital data for various purposes, including quality assessment, research, and healthcare planning. The UHDDS includes key patient information such as demographic details, diagnoses, procedures, and discharge status. Its use helps facilitate better data analysis and healthcare policy development.
The Uniform Hospital Discharge Data Set (UHDDS) was implemented to standardize the collection of hospital discharge data across the United States. Its primary purpose was to enhance the consistency and reliability of health information for statistical and administrative purposes, facilitating improved patient care, management, and research. By establishing uniform definitions and coding practices, UHDDS aimed to support health policy development and reimbursement processes. Additionally, it helps in tracking patient outcomes and healthcare trends effectively.
2003
The inpatient data set that has been incorporated into federal law and is required for Medicare reporting is known as the Inpatient Prospective Payment System (IPPS) data set. It includes information on hospital stays, such as diagnoses, procedures performed, and patient demographics. This data set is used for reimbursement purposes and analyzing healthcare utilization and quality.
Medicare and Medicaid
The most important difference is that the Uniform Hospital Discharge Data Set (UHDDS) definition of principal diagnosis were developed for inpatient reporting and do not apply to the outpatient. Because diagnoses are not established at the time of the initial outpatient encounter or visit, this is an extremely important guideline. In many outpatient cases, the diagnosis code for a presenting sign or symptom must be assigned because a definitive diagnosis has not yet been determined.
These data elements and their definitions can be found in the July 31, 1985, Register (Vol.50, No. 147), pp. 31038-40
These data elements and their definitions can be found in the July 31, 1985, Register (Vol.50, No. 147), pp. 31038-40
number of beds 250, total inpatient admissions 12,250, total outpatient visits 90,754, total patient revenue $111,900,050, outpatient mix 16.2%, medicare payment revenue 28.0%, net price per discharge $7,653, cost per discharge $6,292. What is the hospital's profit per discharge?
Reported data is when, on a histogram, the bars are in disproportionate measures. So the bar graph will look all crooked and not uniform. Measured data is the opposite, when the bars on a histogram are uniform and about the same length. Height occurs in uniform order.