On creating a patient-centric database from multiple hospital information systems

Methods of Information in Medicine

Volumn 51, Issue 3, 2012, Pages 210-220

  Bettencourt Silva, J ^a   de la Iglesia, B ^a   Donell, S ^a   Rayward Smith, V ^a  

^a UNIVERSITY OF EAST ANGLIA   (United Kingdom)

Author keywords

Data collection; Data retrieval; Hospital information systems; Methods

Indexed keywords

ARTICLE; ELECTRONIC MEDICAL RECORD; FACTUAL DATABASE; HOSPITAL INFORMATION SYSTEM; HUMAN; INFORMATION PROCESSING; MALE; METHODOLOGY; ORGANIZATION AND MANAGEMENT; PATIENT CARE; PROSTATE TUMOR; UNITED KINGDOM; VALIDATION STUDY;

DATA COLLECTION; DATABASES, FACTUAL; GREAT BRITAIN; HOSPITAL INFORMATION SYSTEMS; HUMANS; MALE; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; PATIENT-CENTERED CARE; PROSTATIC NEOPLASMS;

EID: 84861306049     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.3414/ME10-01-0069     Document Type: Article

References (26)

1. Pakhomov S, Weston SA, Jacobsen SJ, Chute CG, Meverden R, Roger VL. Electronic medical records for clinical research: application to the identification of heart failure. American Journal of Managed Care. 2007;13: 281-288.
2. Powell J, Buchan I. Electronic Health Records Should Support Clinical Research. Journal of Medical Internet Research. 2005;7(1): e4.
3. Berg M, Goorman E. The contextual nature of medical information. International Journal of Medical Informatics 1999; 56: 51-60.
4. Sorensen HT, Sabroe S, Olsen J. A framework for evaluation of secondary data sources for epidemi-ological research. International Journal of Epidemiology 1996; 25: 435-442.
5. Haux R. Health information systems past, present, future. International Journal of Medical Informatics. 2006;75: 268-281.
6. Reichertz PL. Hospital information systems Past, present, future. International Journal of Medical Informatics. 2006; 75: 282-299.
7. The Academy of Medical Sciences A. Personal data for public good: using health information in medical research. London: AMS; 2006.
8. Safran C, Perreault LE. Management of Information in Integrated Delivery Networks. In: Shortliffe EH, Perreault LE, Wiederhold G, Fagan LM, editors. Medical Informatics: Computer Applications in Health Care and Biomedicine. Springer; 2003. pp 359-396.
9. Cios KJ, Moore W. Uniqueness of Medical Data Mining. Artificial Intelligence in Medicine. 2002; 26: 1-24.
10. Muller ML, Ganslandt T, Eich HP, Lang K, Ohmann C, Prokosch HU. Towards integration of clinical decision support in commercial hospital information systems using distributed, reusable software and knowledge components. International Journal of Medical Informatics. 2001;64 (2-3): 369-377.
11. Sujansky W. Heterogeneous database integration in biomedicine. Journal of Biomedical Informatics. 2001; 34: 285-298.
12. Mackay DM, Papi C, Roberts N, Bexon N. Ten ways to improve information technology in the NHS. Primary care doctors need to become aware of training opportunities. British Medical Journal. 2003; 326: 1034.
13. de Keizer N, Ammenwerth E. The quality of evidence in health informatics: How did the quality of healthcare IT evaluation publications develop from 1982 to 2005? International Journal of Medical Informatics. 2008;77(1): 41-49.
14. Debuse JCW, de la Iglesia B, Howard CM, Rayward-Smith VJ. Building the KDD Roadmap: A Methodology for Knowledge Discovery. In: Roy R, editor. Industrial Knowledge Management. Springer-Verlag; 2000. pp 179-196.
15. Shearer C. The CRISP-DM model: the new blueprint for data mining. Journal of Data Warehousing. 2000; 5: 13-22.
16. Cios KJ. Medical Data Mining and Knowledge Discovery. Cios KJ, editor. Physica-Verlag Heidelberg; 2001.
17. Brazhnik O, Jones J F. Anatomy of Data Integration. Journal of Biomedical Informatics. 2007; 40: 252-269.
18. Cios KJ, Kurgan LA. Trends in Data Mining and Knowledge Discovery. In: Pal N.R., Jain, L.C. and Teoderesku, N. (eds.). Knowledge Discovery in Advanced Information Systems. Springer; 2002. pp 200-202.
19. Cheung W, Hsu C. The model-assisted global query system for multiple databases in distributed enterprises. ACM Transactions on Information Systems. 1996; 14 (4): 421-470.
20. Sheth AP, Larson JA. Federated database systems for managing distributed, heterogeneous, and autono -mous databases. ACM Computing Surveys 1990; 22 (3): 183-236.
21. Hsu C, Bouziane M, Rattner L, Yee L. Information Resources Management in Heterogeneous, Distributed Environments: A Metadatabase Approach. IEEE Transactions on Software Engineering. 1991; 17 (6): 604-625.
22. NHS Data Model and Dictionary; 2009. Available from: http://www.connectingforhealth.nhs.uk/systemsandservices/data/nhsdmds/dmd.
23. Bettencourt J. Extracting Patient-Centric Data from the NHS: A Case Study in Prostate Cancer at the Norfolk & Norwich University Hospital. School of Computing Sciences, University of East Anglia, Norwich; 2009.
24. Thangavel K, Pethalakshmi A. Dimensionality reduction based on rough set theory: A review. Applied Soft Computing 2008; 9: 1-12.
25. Gupta A, Lam MS. Estimating Missing Values Using Neural Networks. Journal of the Operational Research Society. 1996; 47: 229-238.
26. Rahm E, Bernstein PA. A survey of approaches to automatic schema matching. The International Journal on Very Large Data Bases. 2001; 10 (4): 334-350.