Administrative Data & Clinical Registries

Electronic health records have, in recent years, become increasingly important for the evaluating the quality of clinical care, the integration of clinical information and improvements in efficiency and cost effectiveness. In parallel with this, clinical registries have become established as tools for auditing clinical standards, and designing and benchmarking quality improvement initiatives. As a result, there has been a growth in the number, size and quality of clinical registries, particularly in the field of cardiology. This development, coupled with an appreciation of the relevance of real “world data”, has resulted in a greater use of clinical registries for observational research.

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Administrative databases play a central role in the evaluation of health-care systems, due to their widespread diffusion and low cost of information. There is increasing agreement among clinical epidemiologists on the validity of disease and intervention registries based on administrative databases. A key issue is the selection criteria of the observation units: different criteria may result in different estimates of prevalence or incidence of diseases. The benefits of using these data for health system planning and evaluation are many: they are population based, often combine information from multiple centres, capture real health system use, are longitudinal and are relatively inexpensive to construct and use. In addition, individual health administrative records can be linked to other data (clinical registry, public health, socioeconomic etc.).



2013 – 2016 (completed) –


Research on Health and Education systems Assessment using administrative Data

2009-2011 (Completed) – http://ima.metid,

Exploitation, integration and study of current and future health databases in Lombardia for Acute Myocardial Infarction



2008 (Completed)
MOMI2 – one Month Monitoring Miocardial Infarction in MIlan




  1. Rea, F., Micieli, G., Musicco, M., Cavallini, A., Santucci, C., Merlino, L., Ieva, F., Ferrarese, C., Corrao, G. (2019) Adherence to recommendations and clinical outcomes of patients hospitalized for stroke: the role of the admission ward—a real-life investigation from Italy Neurological Sciences, doi: 10.1007/s10072-019-03867-7

  2. Roshanghalb, A., Mazzali, C., Lettieri, E., Paganoni, A.M. (2018) Performance Measurement in Health Care: The Case of Best/Worst Performers Through Administrative Data, in Marc J. Epstein , Frank H. M. Verbeeten , Sally K. Widener (ed.) Performance Measurement and Management Control: The Relevance of Performance Measurement and Management Control Research (Studies in Managerial and Financial Accounting, Volume 33) Emerald Publishing Limited, pp.243 – 257

  3. Ieva, F., Bitonti, D. (2018) Network analysis of comorbidity patterns in Heart Failure patients using administrative data.  Epidemiology, Biostatistics and Public Health, 15(1): e12779    doi: 10.2427/12779

  4. Ieva, F., Gasperoni, F. (2018) Discussion of “Statistical challenges of administrative and transaction data” by David Hand. Journal of the Royal Statistical Society – series A. Journal of the Royal Statisticl Society – Series A doi: 10.1111/rssa.1231

  5. Ekin, T., Ieva, F., Ruggeri, F., Soyer, R. (2017) On the Use of the Concentration Function in Medical Fraud Assessment. The American Statistician, 71(3): 236-241

  6. Ieva F., Secchi P., Vantini S. (2015)
    [ITA] BIG DATA: la prossima sfida della Statistica, Lettera Matematica PRISTEM 93 (giugno), pp. 27-34.
    [ENG] BIG DATA: the next challenge for statistics, Lettera Matematica. 3(3), 111-120.
  7. Mazzali, C., Maistriello, M., Ieva. F., BarbieriI, P. (2014) Methodological issues in the use of administrative databases to study heart failure. Advances in Complex Data Modeling and Computational Methods in Statistics (eds: A.M. Paganoni, P. Secchi), Springer. To appear
  8. Ieva, F. (2013). Designing and mining a multicenter observational clinical registry concerning patients with Acute Coronary Syndromes. New diagnostic, therapeutic and organizational strategies for patients with Acute Coronary Syndromes (eds:N. Grieco, A.M. Paganoni, M. Marzegalli). Springer-Verlag Italia, chap. 3, pp. 47-60 doi: 10.1007/987-88-470-5379-3_3 ISBN: 978-88-470-5378-6
    29. Cassarini, G., Ieva, F. (2013). Statistical methods to study the representativeness of STEMI Archive. New diagnostic, therapeutic and organiza-tional strategies for patients with Acute Coronary Syndromes (eds:N. Grieco, A.M. Paganoni, M. Marzegalli). Springer-Verlag Italia, chap. 4, pp. 61-68 doi: 10.1007/987-88-470-5379-3_4 ISBN: 978-88-470-5378-6
  9. Ieva, F., Paganoni, A.M., Secchi P. (2013). Mining Administrative Health Databases for epidemiological purposes: a case study on Acute Myocardial Infarctions diagnoses. Advances in Theoretical and Applied Statistics (eds: F.Pesarin, N.Torelli) Springer-Verlag Berlin Heidelberg, chap. 38, pp. 417-426
  10. Barbieri, P., Grieco, N., Ieva, F., Paganoni, A.M., Secchi, P. (2010). Exploitation, integration and statistical analysis of Public Health Database and STEMI archive in Lombardia Region. Complex data modeling and computationally intensive statistical methods – Series “Contribution to Statistics” (eds: P. Mantovan, P. Secchi), Springer, pp: 41-56
  11. Ieva, F., Paganoni, A.M. (2009). Integrazione tra registri clinici database amministrativi: il progetto IMASTE della Regione Lombardia. SIS Magazine
  12. Grieco, N., Corrada, E., Sesana, G., Fontana, G., Lombardi, F, Ieva, F., Paganoni, A.M., Marzegalli, M. (2008). Le reti dell’emergenza in cardiologia : l’esperienza lombarda. Giornale Italiano di Cardiologia Supplemento “Crema Cardiologia 2008. Nuove Prospettive in Cardiologia”.
  13. Grieco, N., Corrada, Ieva, F., Lombardi, F., Marzegalli, M., Sesana, G., Paganoni, A.M. (2008). On site ECG transmission reduces door-to-balloon time in patients referred for primary PCI. European Heart Journal, 29 (Abstract Supplement): 655-656
  14. Grieco, N., Sesana, G., Corrada, E., Ieva, F., Paganoni, A.M., Marzegalli, M. (2007) The Milano Network for Acute Coronary Syndromes and Emergency Services. MESPE journal, First Special Issue



Dr. Daniele Bitonti, MD Thesis in Mathematical Engineering (2017)
Network Analysis of Comorbidity Patterns in Heart Failure Patients using Administrative Data

Dr. Lorenzo Vayno, MD Thesis in Mathematical Engineering (2011)
Text mining: riconoscimento di elementi diagnostici in lettere di dimissione ospefaliera

Dr. Stefano Ziller, Dr. Andrea Cremaschi, BD Thesis in Mathematical Engineering (2008)
Il problema del record linkage tra dataset: un approccio probabilistico



  • SIS 2017 – Statistics and Data Science: new challenges, new generations, Florence, June 28-30, 2017
    Talk: Network Analysis of Comorbidity Patterns in Heart Failure Patients using Administrative Data
  • XXII National Conference of the Italian Health Economics Association, Pavia (IT), October 5-6, 2017
    Talk (invited): Administrative data: goldmine or goose chase? a statistical perspective.Doing Research in Healthcare with Administrative Databases, Milan (IT), June 30th, 2014
  • Making decisions: the role of statistics for knowledge and governance. Università Europea di Roma, Roma (Italy). April, 19-20, 2012
    Talk: Modelli statistici per il supporto alle decisioni in ambito sanitario e cardiovascolare
  • Il Programma Strategico Nazionale Sull’Infarto Miocardico Acuto: Esiti e Prospettive Operative. Sala Pirelli – Palazzo Pirelli, Milano (Italy). February 15, 2012
    Talk: Analisi dati Archivio STEMI e confronti con la BDA
  • IV CONVENTION DELLE UTIC LOMBARDE. Villa Cagnola, Gazzada (Varese), Italy. April 9, 2011
    Talk: L’Archivio Regionale delle Sindromi Coronariche Acute: una risorsa epidemiologica e clinica
  • RSS Conference 2010. Brighton (UK), September, 13-17, 2010
    Poster: Statistical analysis for health-care decisions: a case study on a clinical survey concerning STEMI patients
  • 6th Conference on Quantitative Modelling in the Management of Health Care. Institute of Mathematics and its Application (IMA), Mary Ward House, London (UK). March 29-31, 2010
    Talk: STEMI Archive and Lombardia Region Public Health Database: a pilot example of statistical analysis on complex data arising from integrated databases
  • S.Co.2009 – Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction. Politecnico di Milano, Milan (Italy), September 14-16, 2009
    Talk (invited): Statistical Analysis of an integrated Database concerning patients with Acute Coronary Syndromes