Mining high-dimensional administrative claims data to predict early hospital readmissions
暂无分享,去创建一个
Susan Hutfless | Simon C. Mathews | Danning He | Anthony N. Kalloo | A. Kalloo | S. Hutfless | D. He
[1] E. Fisher,et al. The accuracy of Medicare's hospital claims data: progress has been made, but problems remain. , 1992, American journal of public health.
[2] B. Yawn,et al. Identifying Persons with Diabetes Using Medicare Claims Data , 1999, American journal of medical quality : the official journal of the American College of Medical Quality.
[3] J. Goodwin,et al. An approach to identifying incident breast cancer cases using Medicare claims data. , 2000, Journal of clinical epidemiology.
[4] J. Goodwin,et al. Patterns of use of chemotherapy for breast cancer in older women: findings from Medicare claims data. , 2001, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[5] C. Klabunde,et al. Assessing Comorbidity Using Claims Data: An Overview , 2002, Medical care.
[6] Marlene R. Miller,et al. Administrative data based patient safety research: a critical review , 2003, Quality & safety in health care.
[7] E. Schimmel. The hazards of hospitalization* , 2003 .
[8] J. Katz,et al. Accuracy of Medicare claims data for rheumatologic diagnoses in total hip replacement recipients. , 2003, Journal of clinical epidemiology.
[9] Sung-joon Min,et al. Posthospital care transitions: patterns, complications, and risk identification. , 2004, Health services research.
[10] Thomas Lengauer,et al. ROCR: visualizing classifier performance in R , 2005, Bioinform..
[11] J. Avorn,et al. Identification of individuals with CKD from Medicare claims data: a validation study. , 2005, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[12] C. Christiansen,et al. Evaluating the Patient Safety Indicators: How Well Do They Perform on Veterans Health Administration Data? , 2005, Medical care.
[13] W. Hauck,et al. Availability of Medical Care Services in Drug Treatment Clinics Associated With Lower Repeated Emergency Department Use , 2005, Medical care.
[14] S. Normand,et al. An Administrative Claims Model Suitable for Profiling Hospital Performance Based on 30-Day Mortality Rates Among Patients With an Acute Myocardial Infarction , 2006, Circulation.
[15] P. Halfon,et al. Validation of the Potentially Avoidable Hospital Readmission Rate as a Routine Indicator of the Quality of Hospital Care , 2006, Medical care.
[16] A. Majeed,et al. Identifying Patients at High Risk of Emergency Hospital Admissions: A Logistic Regression Analysis , 2006 .
[17] D. Wennberg,et al. Case finding for patients at risk of readmission to hospital: development of algorithm to identify high risk patients , 2006, BMJ : British Medical Journal.
[18] D. Hoaglin,et al. Enhancement of claims data to improve risk adjustment of hospital mortality. , 2007, JAMA.
[19] J. Walkup,et al. Studying Prescription Drug Use and Outcomes With Medicaid Claims Data: Strengths, Limitations, and Strategies , 2007, Medical care.
[20] J. Hughes,et al. Identifying Potentially Preventable Readmissions , 2008, Health care financing review.
[21] M. Coory,et al. Using routine inpatient data to identify patients at risk of hospital readmission , 2009, BMC health services research.
[22] J. Avorn,et al. High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data , 2009, Epidemiology.
[23] E. Rackow. Rehospitalizations among patients in the Medicare fee-for-service program. , 2009, The New England journal of medicine.
[24] Kari Ferver,et al. The use of claims data in healthcare research. , 2009 .
[25] Tosha B. Wetterneck,et al. Hospital Readmission in General Medicine Patients: A Prediction Model , 2009, Journal of General Internal Medicine.
[26] J. Rassen,et al. Confounding Control in Healthcare Database Research: Challenges and Potential Approaches , 2010, Medical care.
[27] G. Jacobson,et al. Medicare Spending and Use of Medical Services for Beneficiaries in Nursing Homes and Other Long-Term Care Facilities: , 2010 .
[28] Y. Tabak,et al. An Automated Model to Identify Heart Failure Patients at Risk for 30-Day Readmission or Death Using Electronic Medical Record Data , 2010, Medical care.
[29] P. Austin,et al. Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community , 2010, Canadian Medical Association Journal.
[30] P. Austin,et al. Proportion of hospital readmissions deemed avoidable: a systematic review , 2011, Canadian Medical Association Journal.
[31] Michael R. O'Connell,et al. Hospitalizations for Chronic Pancreatitis in Allegheny County, Pennsylvania, USA , 2011, Pancreatology.
[32] Amanda H. Salanitro,et al. Risk prediction models for hospital readmission: a systematic review. , 2011, JAMA.
[33] Christoph U. Lehmann,et al. Association of self-reported hospital discharge handoffs with 30-day readmissions. , 2013, JAMA internal medicine.
[34] E. Marks. Complexity science and the readmission dilemma. , 2013, JAMA internal medicine.
[35] J. Schnipper,et al. Potentially avoidable 30-day hospital readmissions in medical patients: derivation and validation of a prediction model. , 2013, JAMA internal medicine.
[36] Reena Mahajan,et al. Use of the International Classification of Diseases, 9th revision, coding in identifying chronic hepatitis B virus infection in health system data: implications for national surveillance , 2013, J. Am. Medical Informatics Assoc..