| review article | Q7318358 |
| scholarly article | Q13442814 |
| P356 | DOI | 10.1017/S0266462300000799 |
| P698 | PubMed publication ID | 2203703 |
| P2093 | author name string | Iezzoni LI | |
| P2860 | cites work | Assessing hospital-associated deaths from discharge data. The role of length of stay and comorbidities | Q36428029 |
| Use of claims data systems to evaluate health care outcomes. Mortality and reoperation following prostatectomy | Q36463857 | ||
| ICD, POR, and DRG. Unsolved scientific problems in the nosology of clinical medicine | Q38595698 | ||
| Can Medicare prospective payment survive the ICD-9-CM disease classification system? | Q39587946 | ||
| Coding of acute myocardial infarction. Clinical and policy implications | Q39607075 | ||
| Centralization, certification, and monitoring. Readmissions and complications after surgery. | Q39797279 | ||
| DRG creep: a new hospital-acquired disease | Q40306153 | ||
| Physician and coding errors in patient records | Q41375266 | ||
| ICD 9: a regression | Q41599633 | ||
| Measuring the quality of medical care. A clinical method | Q41680278 | ||
| The diagnostic coding of myocardial infarction | Q44702278 | ||
| Hospital case-mix change: sicker patients or DRG creep? | Q48933506 | ||
| The measurement of hospital case mix. | Q50934301 | ||
| Competition and the pursuit of quality: a conversation with Walter McClure. Interview by John K. Iglehart. | Q52399255 | ||
| Using computers to identify complications after surgery. | Q52659050 | ||
| The International Classification of Diseases: Ninth Revision (ICD-9) | Q67283809 | ||
| A methodology for targeting hospital cases for quality of care record reviews | Q69185941 | ||
| Assessing quality of care: another step forward | Q69972916 | ||
| The Computerized Severity Index. A new tool for case-mix management | Q70294849 | ||
| Accuracy of diagnostic coding for Medicare patients under the prospective-payment system | Q70374986 | ||
| Medicare hospital payment by diagnosis-related groups | Q70469350 | ||
| P433 | issue | 2 | |
| P304 | page(s) | 272-281 | |
| P577 | publication date | 1990-01-01 | |
| P1433 | published in | International Journal of Technology Assessment in Health Care | Q15750683 |
| P1476 | title | Using administrative diagnostic data to assess the quality of hospital care. Pitfalls and potential of ICD-9-CM. | |
| P478 | volume | 6 |
| Q40538413 | Ambulatory care casemix measures |
| Q45012586 | Availability of cardiac technology: trends in procedure use and outcomes for patients with acute myocardial infarction |
| Q35157920 | Cachexia & debility diagnoses in hospitalized children and adolescents with complex chronic conditions: evidence from the Kids' Inpatient Database. |
| Q30565441 | Can administrative data be used to compare the quality of health care? |
| Q33703685 | Challenges of monitoring use of secondary care at local level: a study based in London, UK. |
| Q44917273 | Chronic comorbidity and homogeneity in diagnostic related groups |
| Q42052049 | Chronic comorbidity and outcomes of hospital care: length of stay, mortality, and readmission at 30 and 365 days. |
| Q33725421 | Chronic conditions and risk of in-hospital death |
| Q72762572 | Comparing hospitals that perform coronary artery bypass surgery: the effect of outcome measures and data sources |
| Q33385883 | Compliance with platelet count monitoring recommendations and management of possible heparin-induced thrombocytopenia in hospitalized patients receiving low-molecular-weight heparin. |
| Q35384454 | Concordance between childhood injury diagnoses from two sources: an injury surveillance system and a physician billing claims database |
| Q35123702 | Determination of problematic ICD-9-CM subcategories for further study of coding performance: Delphi method |
| Q33489405 | Development of a computerized medical history profile for children in out-of-home placement using Medicaid data |
| Q89717891 | Development of stroke identification algorithm for claims data using the multicenter stroke registry database |
| Q46146706 | Epidemiology of neonatal respiratory failure in the United States: projections from California and New York |
| Q43942454 | Examining the effect of hospital-level factors on mortality of very low birth weight infants using multilevel modeling |
| Q36901899 | Guidelines, enthusiasms, uncertainty, and the limits to purchasing |
| Q36173478 | Hospital volume and outcomes for laparoscopic gastric bypass and adjustable gastric banding in the modern era. |
| Q51723820 | Hospitalized community-acquired pneumonia in the elderly: age- and sex-related patterns of care and outcome in the United States. |
| Q36685256 | Identifying complications and low provider adherence to normative practices using administrative data |
| Q45334119 | Identifying patient preoperative risk factors and postoperative adverse events in administrative databases: results from the Department of Veterans Affairs National Surgical Quality Improvement Program |
| Q25255282 | Impact of HIV/AIDS on care and outcomes of severe sepsis |
| Q30613954 | Impact of alternative coding schemes on incidence rates of key complications after total hip arthroplasty: a risk-adjusted analysis of a national data set |
| Q34410009 | Impact of sample size on variation of adverse events and preventable adverse events: systematic review on epidemiology and contributing factors |
| Q37559178 | Inaccuracy of the administrative database: comparative analysis of two databases for the diagnosis and treatment of intracranial aneurysms |
| Q45730233 | Increasing pre-pregnancy body mass index is predictive of a progressive escalation in adverse pregnancy outcomes |
| Q39235820 | Informing the market: the strengths and weaknesses of information in the British National Health Service |
| Q39667514 | Learning to Leverage Existing Information Systems: Part 1. Principles |
| Q30814844 | Linking Medicare, Medicaid, and cancer registry data to study the burden of cancers in West Virginia |
| Q42645868 | Making routine data adequate to support clinical audit |
| Q38486943 | Measuring health care effectiveness. Research and policy implications |
| Q30831027 | Measuring surgical quality: a national clinical registry versus administrative claims data. |
| Q30616399 | Meeting the ambition of measuring the quality of hospitals' stroke care using routinely collected administrative data: a feasibility study |
| Q33721609 | Misclassification and under-reporting of acute myocardial infarction by elderly persons: implications for community-based observational studies and clinical trials |
| Q42672799 | Mortality after prostatectomy: selection and surgical approach |
| Q33691732 | Mortality league tables: do they inform or mislead? |
| Q77297255 | Outcomes research and surgeons |
| Q36924479 | Pediatric traumatic brain injury is inconsistently regionalized in the United States |
| Q34750439 | Positive predictive value of the diagnosis of acute myocardial infarction in an administrative database |
| Q50178223 | Postoperative adverse events of cholecystectomy in the Medicare population |
| Q74754519 | Principles of disease management in neonatology |
| Q34326317 | Provider specialty choice among Medicare beneficiaries treated for psychiatric disorders |
| Q36198525 | Psychoactive medications and disengagement from office based opioid treatment (obot) with buprenorphine. |
| Q33559014 | Purpose of admission and resource use during cancer hospitalizations |
| Q35527347 | Pursuing integration of performance measures into electronic medical records: beta-adrenergic receptor antagonist medications. |
| Q34031612 | Rates of adverse events among hospital admissions and day surgeries in Ontario from 1992 to 1997 |
| Q53598560 | Recommended guidelines for reviewing, reporting, and conducting research on in-hospital resuscitation: the in-hospital "Utstein style". American Heart Association. |
| Q46520602 | Recommended guidelines for reviewing, reporting, and conducting research on in-hospital resuscitation: the in-hospital 'Utstein style'. A statement for healthcare professionals from the American Heart Association, the European Resuscitation Council, |
| Q40421783 | Recommended guidelines for uniform reporting of pediatric advanced life support: the pediatric Utstein style |
| Q74351470 | Retrospective validation of a surveillance system for unexplained illness and death: New Haven County, Connecticut |
| Q30565488 | Routine data: a resource for clinical audit? |
| Q41278803 | Secondary diagnoses as predictive factors for survival or mortality in Medicare patients with acute pneumonia |
| Q40906945 | StORQS: Washington's Statewide Obstetrical Review and Quality System: overview and provider evaluation |
| Q34977191 | Stratifying medical and pharmaceutical administrative claims as a method to identify pediatric asthma patients in a Medicaid managed care organization |
| Q41744006 | Surgical Multidisciplinary Rounds: An Effective Tool for Comprehensive Surgical Quality Improvement |
| Q38382828 | Surgical Patient Safety Outcomes in Critical Access Hospitals: How Do They Compare? |
| Q35596315 | The Consensus Development Program. Detecting changes in medical practice following a consensus conference on the treatment of prostate cancer |
| Q79291386 | The development and validation of a comorbidity index for prostate cancer among Black men |
| Q36841007 | The impact of concordant and discordant conditions on the quality of care for hyperlipidemia |
| Q40796328 | Trends in the post-hospitalization medical treatment of unstable angina pectoris: 1990 to 1995. |
| Q51276796 | Tuberculosis management continues to utilize a large amount of hospital resources in the United States. |
| Q36468468 | Two methods for developing and maintaining a database of clinical information on outpatient encounters: a comparison of process, costs, and benefits |
| Q30757628 | Use of present-on-admission indicators for complications after total knee arthroplasty: an analysis of Medicare administrative data |
| Q33725945 | Using Medicare claims data to assess provider quality for CABG surgery: does it work well enough? |
| Q34421074 | Using estimated true safety event rates versus flagged safety event rates: does it change hospital profiling and payment? |
| Q34553058 | Using existing data to address important clinical questions in critical care |
| Q33708308 | Using large-scale databases to measure outcomes in critical care |
| Q44394564 | Validity of hospital discharge International Classification of Diseases (ICD) codes for identifying patients with hyponatremia. |
| Q33725969 | Where do elderly veterans obtain care for acute myocardial infarction: Department of Veterans Affairs or Medicare? |
| Q32064227 | [Automated analysis of the quality of the minimum set of basic data. Implications for risk-adjusting systems]. |
| Q50851047 | [Do chronic diseases prevent intra-hospital mortality? Paradoxes and biases in information about hospital morbidity]. |
| Q77368272 | [Probabilistic models of mortality for patients hospitalized in conventional units] |
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