{"title":"住院病人急性护理异常值的报销恢复的前瞻性量化总结。","authors":"Gerald S Silberstein, Albert S Paulson","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The purpose of this study is to identify and quantify inpatient acute care hospital cases that are eligible for additional financial reimbursement. Acute care hospitals are reimbursed by third-party payers on behalf of their patients. Reimbursement is a fixed amount dependent primarily upon the diagnostic related group (DRG) of the case and the service intensity weight of the individual hospital. This method is used by nearly all third-party payers. For a given case, reimbursement is fixed (all else being equal) until a certain threshold level of charges, the cost outlier threshold, is reached. Above this amount the hospital is partially reimbursed for additional charges above the cost outlier threshold. Hospital discharge information has been described as having an error rate of between 7 and 22 percent in attribution of basic case characteristics. It can be expected that there is a significant error rate in the attribution of charges as well. This could be due to miscategorization of the case, misapplication of charges, or other causes. Identification of likely cases eligible for additional reimbursement would alleviate financial pressure where hospitals would have to absorb high expenses for outlier cases. Determining predicted values for total charges for each case was accomplished by exploring associative relationships between charges and case-specific variables. These variables were clinical, demographic, and administrative. Year-by-year comparisons show that these relationships appear stable throughout the five-year period under study. Beta coefficients developed in Year 1 are applied to develop predictions for Year 3 cases. This was also done for year pairs 2 and 4, and 3 and 5. Based on the predicted and actual value of charges, recovery amounts were calculated for each case in the second year of the year pairs. The year gap is necessary to allow for collection and analysis of the data of the first year of each pair. The analysis was performed in two parts. First, cases of myocardial infarction were examined to prove feasibility and then a sample of strata of all cases were subjected to the same analytical procedure to provide support for the postulation of universal applicability. Approximately 85,000 cases could be audited annually in New York State, and possibly 1.3 million in the entire United States. Estimated recovery from all inpatient cases is approximately $230 million per year in New York State and roughly $3.6 billion per year from these payers on a national basis. The cost-benefits ratio was estimated at 3.6:1. These are considered to be conservative estimates.</p>","PeriodicalId":56181,"journal":{"name":"Journal of Health Care Finance","volume":"38 1","pages":"83-98"},"PeriodicalIF":0.0000,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Summary of prospective quantification of reimbursement recovery from inpatient acute care outliers.\",\"authors\":\"Gerald S Silberstein, Albert S Paulson\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The purpose of this study is to identify and quantify inpatient acute care hospital cases that are eligible for additional financial reimbursement. Acute care hospitals are reimbursed by third-party payers on behalf of their patients. Reimbursement is a fixed amount dependent primarily upon the diagnostic related group (DRG) of the case and the service intensity weight of the individual hospital. This method is used by nearly all third-party payers. For a given case, reimbursement is fixed (all else being equal) until a certain threshold level of charges, the cost outlier threshold, is reached. Above this amount the hospital is partially reimbursed for additional charges above the cost outlier threshold. Hospital discharge information has been described as having an error rate of between 7 and 22 percent in attribution of basic case characteristics. It can be expected that there is a significant error rate in the attribution of charges as well. This could be due to miscategorization of the case, misapplication of charges, or other causes. Identification of likely cases eligible for additional reimbursement would alleviate financial pressure where hospitals would have to absorb high expenses for outlier cases. Determining predicted values for total charges for each case was accomplished by exploring associative relationships between charges and case-specific variables. These variables were clinical, demographic, and administrative. Year-by-year comparisons show that these relationships appear stable throughout the five-year period under study. Beta coefficients developed in Year 1 are applied to develop predictions for Year 3 cases. This was also done for year pairs 2 and 4, and 3 and 5. Based on the predicted and actual value of charges, recovery amounts were calculated for each case in the second year of the year pairs. The year gap is necessary to allow for collection and analysis of the data of the first year of each pair. The analysis was performed in two parts. First, cases of myocardial infarction were examined to prove feasibility and then a sample of strata of all cases were subjected to the same analytical procedure to provide support for the postulation of universal applicability. Approximately 85,000 cases could be audited annually in New York State, and possibly 1.3 million in the entire United States. Estimated recovery from all inpatient cases is approximately $230 million per year in New York State and roughly $3.6 billion per year from these payers on a national basis. The cost-benefits ratio was estimated at 3.6:1. These are considered to be conservative estimates.</p>\",\"PeriodicalId\":56181,\"journal\":{\"name\":\"Journal of Health Care Finance\",\"volume\":\"38 1\",\"pages\":\"83-98\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Health Care Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Health Care Finance","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
Summary of prospective quantification of reimbursement recovery from inpatient acute care outliers.
The purpose of this study is to identify and quantify inpatient acute care hospital cases that are eligible for additional financial reimbursement. Acute care hospitals are reimbursed by third-party payers on behalf of their patients. Reimbursement is a fixed amount dependent primarily upon the diagnostic related group (DRG) of the case and the service intensity weight of the individual hospital. This method is used by nearly all third-party payers. For a given case, reimbursement is fixed (all else being equal) until a certain threshold level of charges, the cost outlier threshold, is reached. Above this amount the hospital is partially reimbursed for additional charges above the cost outlier threshold. Hospital discharge information has been described as having an error rate of between 7 and 22 percent in attribution of basic case characteristics. It can be expected that there is a significant error rate in the attribution of charges as well. This could be due to miscategorization of the case, misapplication of charges, or other causes. Identification of likely cases eligible for additional reimbursement would alleviate financial pressure where hospitals would have to absorb high expenses for outlier cases. Determining predicted values for total charges for each case was accomplished by exploring associative relationships between charges and case-specific variables. These variables were clinical, demographic, and administrative. Year-by-year comparisons show that these relationships appear stable throughout the five-year period under study. Beta coefficients developed in Year 1 are applied to develop predictions for Year 3 cases. This was also done for year pairs 2 and 4, and 3 and 5. Based on the predicted and actual value of charges, recovery amounts were calculated for each case in the second year of the year pairs. The year gap is necessary to allow for collection and analysis of the data of the first year of each pair. The analysis was performed in two parts. First, cases of myocardial infarction were examined to prove feasibility and then a sample of strata of all cases were subjected to the same analytical procedure to provide support for the postulation of universal applicability. Approximately 85,000 cases could be audited annually in New York State, and possibly 1.3 million in the entire United States. Estimated recovery from all inpatient cases is approximately $230 million per year in New York State and roughly $3.6 billion per year from these payers on a national basis. The cost-benefits ratio was estimated at 3.6:1. These are considered to be conservative estimates.
期刊介绍:
The Journal of Health Care Finance is the only quarterly journal devoted solely to helping you meet your facility"s financial goals. Each issue targets a key area of health care finance. Stay alert to new trends, opportunities, and threats. Make easier, better decisions, with advice from industry experts. Learn from the experiences of other health care organizations. Experts in the field share their experiences on successful programs, proven strategies, practical management tools, and innovative alternatives. The Journal covers today"s most complex dollars-and-cents issues, including hospital/physician contracts, alternative delivery systems, generating maximum margins under PPS.