| scholarly article | Q13442814 |
| P50 | author | Pavani Rangachari | Q80163351 |
| P2093 | author name string | Pavani Rangachari | |
| P2860 | cites work | ??? | Q27024572 |
| Does date stamping ICD-9-CM codes increase the value of clinical information in administrative data? | Q31030344 | ||
| Using hospital performance data in quality improvement: the Cleveland Health Quality Choice experience | Q32045365 | ||
| Assessment of the reproducibility of clinical coding in routinely collected hospital activity data: a study in two hospitals. | Q32062734 | ||
| Comorbidity measures for use with administrative data | Q32144770 | ||
| Impact of the medical record credential on data quality | Q33178306 | ||
| Complications, comorbidities, and mortality: improving classification and prediction | Q33726062 | ||
| Assessing hospital quality: a review for clinicians. | Q34236708 | ||
| Hospital characteristics and quality of care | Q35847800 | ||
| Medicare reimbursement accuracy under the prospective payment system, 1985 to 1988. | Q36365650 | ||
| Bias in the coding of hospital discharge data and its implications for quality assessment | Q36759497 | ||
| A novel method for the assessment of the accuracy of diagnostic codes in general surgery | Q36821889 | ||
| Process-based measures of quality: the need for detailed clinical data in large health care databases | Q36893058 | ||
| Comorbidity-adjusted complication risk: a new outcome quality measure | Q40977683 | ||
| Grading the graders: how hospitals in California and New York perceive and interpret their report cards. | Q41617762 | ||
| Quality of care, process, and outcomes in elderly patients with pneumonia | Q41665017 | ||
| How good is the quality of health care in the United States? | Q42565063 | ||
| Agreement between administrative files and written medical records: a case of the Department of Veterans Affairs | Q45334986 | ||
| Disparity in coding concordance: do physicians and coders agree? | Q47702591 | ||
| Benchmarking variation in coding accuracy across the United States | Q47702604 | ||
| The business case for quality: case studies and an analysis | Q48599980 | ||
| Using computers to identify complications after surgery. | Q52659050 | ||
| The accuracy of Medicare's hospital claims data: progress has been made, but problems remain. | Q55043677 | ||
| The Urgent Need to Improve Health Care Quality Institute of Medicine National Roundtable on Health Care Quality | Q56461601 | ||
| Measuring Quality of Care | Q56775134 | ||
| Clinical overlap among medical diagnosis-related groups | Q70276235 | ||
| Accuracy of diagnostic coding for Medicare patients under the prospective-payment system | Q70374986 | ||
| Coders join forces with physicians to improve clinical outcomes | Q73015587 | ||
| The use of DRGs in health care payment systems around the world | Q73291063 | ||
| Do we do what they say we do? coding errors in urology | Q73485943 | ||
| Severity-adjusted mortality and length of stay in teaching and nonteaching hospitals. Results of a regional study | Q73585450 | ||
| Increasing the impact of health plan report cards by addressing consumers' concerns | Q74328549 | ||
| Coding accuracy ultimately affects the bottom line | Q74820144 | ||
| Prebilling DRG training can increase hospital reimbursement | Q74820867 | ||
| Distinguishing hospital complications of care from pre-existing conditions | Q79859626 | ||
| P304 | page(s) | 3 | |
| P577 | publication date | 2007-04-16 | |
| P1433 | published in | Perspectives in health information management | Q27721106 |
| P1476 | title | Coding for quality measurement: the relationship between hospital structural characteristics and coding accuracy from the perspective of quality measurement | |
| P478 | volume | 4 |
| Q38695291 | A cohort study on physician documentation and the accuracy of administrative data coding to improve passive surveillance of transient ischaemic attacks. |
| Q30966095 | Capturing diagnosis-timing in ICD-coded hospital data: recommendations from the WHO ICD-11 topic advisory group on quality and safety |
| Q36407295 | Claims-Based ICU Research: Learning From Imperfect Data. |
| Q31138335 | Comparing routine administrative data with registry data for assessing quality of hospital care in patients with myocardial infarction using deterministic record linkage |
| Q37579699 | Determinants of the length of stay in stroke patients |
| Q33561293 | Do coder characteristics influence validity of ICD-10 hospital discharge data? |
| Q43126452 | Evaluation of factors influencing accuracy of principal procedure coding based on ICD-9-CM: an Iranian study. |
| Q33582449 | Exploratory study of radiology coding in health information management practice |
| Q31039720 | Incidence and Variation of Discrepancies in Recording Chronic Conditions in Australian Hospital Administrative Data |
| Q34143155 | P.Re.Val.E.: outcome research program for the evaluation of health care quality in Lazio, Italy. |
| Q34076496 | The accuracy of present-on-admission reporting in administrative data |
| Q30847385 | Variation in the recording of common health conditions in routine hospital data: study using linked survey and administrative data in New South Wales, Australia |
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