Assessing the Accuracy of Administrative Data in Health Information Systems
暂无分享,去创建一个
S. Jain | P. Glassman | D. Bertenthal | J. Luck | J. Peabody
[1] Jesse Green,et al. How Accurate are Hospital Discharge Data for Evaluating Effectiveness of Care? , 1993, Medical care.
[2] C. Newschaffer,et al. Comorbidity measurement in elderly female breast cancer patients with administrative and medical records data. , 1997, Journal of clinical epidemiology.
[3] L. Lorenzoni,et al. Continuous training as a key to increase the accuracy of administrative data. , 2000, Journal of evaluation in clinical practice.
[4] C. Melfi. Using databases for studying and comparing health care costs and resource use , 2001, Pharmacoepidemiology and drug safety.
[5] B. Loevinsohn,et al. Improving primary health care through systematic supervision: a controlled field trial. , 1995, Health policy and planning.
[6] M. Bronfman,et al. Changing Physician Prescribing Patterns: Evaluation of an Educational Strategy for Acute Diarrhea in Mexico City , 1994, Medical care.
[7] P. Basch. Quality of health care delivered to adults in the United States. , 2003, New England Journal of Medicine.
[8] K. Stavem,et al. [Coding of diagnoses in chronic obstructive pulmonary disease--economic consequences]. , 2002, Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke.
[9] Gilad J. Kuperman,et al. Synthesis of Research Paper: A Consensus Statement on Considerations for a Successful CPOE Implementation , 2003, J. Am. Medical Informatics Assoc..
[10] Kashner Tm. Agreement between administrative files and written medical records: a case of the Department of Veterans Affairs. , 1998 .
[11] H A Feldman,et al. Possible Effect of DRGs on the Classification of Stroke: Implications for Epidemiological Surveillance , 2001, Stroke.
[12] P. Duncan,et al. Stroke: who's counting what? , 2001, Journal of rehabilitation research and development.
[13] B. Emmerich,et al. Data quality in computerized patient records , 1994, International journal of clinical monitoring and computing.
[14] S. Wolfe,et al. Quality of care in investor-owned vs not-for-profit HMOs. , 1999, JAMA.
[15] J. Spinelli,et al. Co-morbidity data in outcomes research: are clinical data derived from administrative databases a reliable alternative to chart review? , 2000, Journal of clinical epidemiology.
[16] S. Zimmerman,et al. Accuracy of Medical Records in Hip Fracture , 1998, Journal of the American Geriatrics Society.
[17] L. Goldstein. Accuracy of ICD-9-CM coding for the identification of patients with acute ischemic stroke: effect of modifier codes. , 1998, Stroke.
[18] W. Graham,et al. Holding up a mirror: changing obstetric practice through criterion‐based clinical audit in developing countries , 2001, International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics.
[19] N S Rawson,et al. Validity of the recording of ischaemic heart disease and chronic obstructive pulmonary disease in the Saskatchewan health care datafiles. , 1995, Statistics in medicine.
[20] N. Roos,et al. Manitoba's Population-Based Databases and Long-Term Planning: Beyond the Hospital Databases , 1995, Healthcare management forum.
[21] D McLerran,et al. Using administrative data to describe casemix: a comparison with the medical record. , 1994, Journal of clinical epidemiology.
[22] J E Rodnick. Should the complete medical record be computerized in family practice? An opposing view. , 1990, The Journal of family practice.
[23] C. Weisman,et al. Performance indicators in women's health: incorporating women's health in the health plan employer data and information set (HEDIS). , 2002, Women's health issues : official publication of the Jacobs Institute of Women's Health.
[24] J. Luck,et al. Using standardised patients to measure physicians' practice: validation study using audio recordings , 2002, BMJ : British Medical Journal.
[25] J P Rissing,et al. Physician and coding errors in patient records. , 1985, JAMA.
[26] G. Meyer. Building the bridge across the quality chasm. , 2003, Bulletin of the World Health Organization.
[27] L. Iezzoni. Assessing Quality Using Administrative Data , 1997, Annals of Internal Medicine.
[28] T. M. Kashner,et al. Agreement between administrative files and written medical records: a case of the Department of Veterans Affairs. , 1998, Medical care.
[29] J S Buechner,et al. Improving the E coding of hospitalizations for injury: do hospital records contain adequate documentation? , 1995, American journal of public health.
[30] Mary K Goldstein,et al. Accuracy of computerized outpatient diagnoses in a Veterans Affairs general medicine clinic. , 2002, The American journal of managed care.
[31] S. Shortell,et al. Crossing the quality chasm: implications for health services administration education. , 2004, The Journal of health administration education.
[32] E. Kelley,et al. Improving performance with clinical standards: the impact of feedback on compliance with the integrated management of childhood illness algorithm in Niger, West Africa. , 2001, The International journal of health planning and management.
[33] J. Grossman,et al. Crossing the Quality Chasm , 2005 .
[34] Tsung-Mei Cheng. Taiwan's new national health insurance program: genesis and experience so far. , 2003, Health affairs.
[35] E. DeLong,et al. The effects of New York's bypass surgery provider profiling on access to care and patient outcomes in the elderly. , 1998, Journal of the American College of Cardiology.
[36] David Edelman,et al. Outpatient diagnostic errors: unrecognized hyperglycemia. , 2002, Effective clinical practice : ECP.
[37] P. Glassman,et al. Using standardized patients to measure quality: evidence from the literature and a prospective study. , 2000, The Joint Commission journal on quality improvement.
[38] Elliott S Fisher,et al. Geography and the debate over Medicare reform. , 2002, Health affairs.
[39] W. Bilker,et al. Descriptive analyses of the integrity of a US Medicaid claims database , 2003, Pharmacoepidemiology and drug safety.
[40] J. Iglehart,et al. The National Committee for Quality Assurance. , 1996, The New England journal of medicine.
[41] P Diehr,et al. Analysis of Automated Administrative and Survey Databases to Study Patterns and Outcomes of Care , 1994, Spine.
[42] A S Kosinski,et al. A comparison of the Charlson comorbidity index derived from medical record data and administrative billing data. , 1999, Journal of clinical epidemiology.
[43] Sutoto,et al. The impact of face-to-face educational outreach on diarrhoea treatment in pharmacies. , 1996, Health policy and planning.
[44] Christianna S. Williams,et al. Risk adjustment for older hospitalized persons: a comparison of two methods of data collection for the Charlson index. , 2001, Journal of clinical epidemiology.
[45] B. Taylor. Common bile duct injury during laparoscopic cholecystectomy in Ontario: does ICD-9 coding indicate true incidence? , 1998, CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne.
[46] J. Codde,et al. A review of hospital medical record audits: implications for funding and training. , 1998, Australian health review : a publication of the Australian Hospital Association.
[47] Hude Quan,et al. Validity of Information on Comorbidity Derived From ICD-9-CCM Administrative Data , 2002, Medical care.