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Volumn 28, Issue 1, 2008, Pages 55-71

The Development of Health Care Data Warehouses to Support Data Mining

Author keywords

[No Author keywords available]

Indexed keywords

ACCESS TO INFORMATION; CLINICAL DATA REPOSITORY; CLINICAL STUDY; COMPUTER PROGRAM; CONFIDENTIALITY; DATA BASE; DATA EXTRACTION; DATA MINING; DATA STORAGE DEVICE; HEALTH CARE SYSTEM; INFORMATION PROCESSING; LARGE SCALE PRODUCTION; MEDICAL INFORMATION; MEDICAL INFORMATION SYSTEM; MEDICAL RESEARCH; ONLINE ANALYTICAL PROCESSING; ORGANIZATION AND MANAGEMENT; PRIORITY JOURNAL; PRIVACY; PROGRAM DEVELOPMENT; REVIEW;

EID: 37849004680     PISSN: 02722712     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cll.2007.10.003     Document Type: Review
Times cited : (46)

References (43)
  • 1
    • 27644500384 scopus 로고    scopus 로고
    • Development of a data warehouse at an academic health system: knowing a place for the first time
    • Dewitt J.G., and Hampton P.M. Development of a data warehouse at an academic health system: knowing a place for the first time. Acad Med 80 (2005) 1019-1025
    • (2005) Acad Med , vol.80 , pp. 1019-1025
    • Dewitt, J.G.1    Hampton, P.M.2
  • 2
    • 34547120862 scopus 로고    scopus 로고
    • Using an information warehouse to screen patients for clinical trials: a prototype
    • Kamal J., Pasuparthi K., Rogers P., et al. Using an information warehouse to screen patients for clinical trials: a prototype. Proc AMIA Symp (2005) 1004
    • (2005) Proc AMIA Symp , pp. 1004
    • Kamal, J.1    Pasuparthi, K.2    Rogers, P.3
  • 3
    • 0242268916 scopus 로고    scopus 로고
    • The data warehouse as a foundation for population-based reference intervals
    • Bock B.J., Dolan C.T., Miller G.C., et al. The data warehouse as a foundation for population-based reference intervals. Am J Clin Pathol 120 (2003) 662-670
    • (2003) Am J Clin Pathol , vol.120 , pp. 662-670
    • Bock, B.J.1    Dolan, C.T.2    Miller, G.C.3
  • 4
    • 0035376039 scopus 로고    scopus 로고
    • Case study: a data warehouse for an academic medical center
    • Einbinder J.S., Scully K.W., Pates R.D., et al. Case study: a data warehouse for an academic medical center. J Healthc Inf Manag 15 (2001) 165-175
    • (2001) J Healthc Inf Manag , vol.15 , pp. 165-175
    • Einbinder, J.S.1    Scully, K.W.2    Pates, R.D.3
  • 6
    • 0042334861 scopus 로고    scopus 로고
    • Development of a clinical data warehouse for hospital infection control
    • Wisniewski M.F., Kieszkowski P., Zagorski B.M., et al. Development of a clinical data warehouse for hospital infection control. J Am Med Inform Assoc 10 (2003) 454-462
    • (2003) J Am Med Inform Assoc , vol.10 , pp. 454-462
    • Wisniewski, M.F.1    Kieszkowski, P.2    Zagorski, B.M.3
  • 7
    • 0033258114 scopus 로고    scopus 로고
    • Optimizing healthcare research data warehouse design through past COSTAR query analysis
    • Murphy S.N., Morgan M.M., Barnett G.O., et al. Optimizing healthcare research data warehouse design through past COSTAR query analysis. Proc AMIA Symp (1999) 892-896
    • (1999) Proc AMIA Symp , pp. 892-896
    • Murphy, S.N.1    Morgan, M.M.2    Barnett, G.O.3
  • 8
    • 0035375543 scopus 로고    scopus 로고
    • Life cycle of a data warehousing project in healthcare
    • Verma R., and Harper J. Life cycle of a data warehousing project in healthcare. J Healthc Inf Manag 15 (2001) 107-117
    • (2001) J Healthc Inf Manag , vol.15 , pp. 107-117
    • Verma, R.1    Harper, J.2
  • 9
    • 0037409029 scopus 로고    scopus 로고
    • The catch data warehouse: support for community health care decision-making
    • Berndt D.J., Hevner A.R., and Studnicki J. The catch data warehouse: support for community health care decision-making. Decision Support Systems 35 3 (2003) 367-384
    • (2003) Decision Support Systems , vol.35 , Issue.3 , pp. 367-384
    • Berndt, D.J.1    Hevner, A.R.2    Studnicki, J.3
  • 10
    • 37849000367 scopus 로고    scopus 로고
    • Sittig DF, Pappas J, Rubalcaba P. Building and using a clinical data repository. Available at: http://www.informatics-review.com/thoughts/cdr.html. Accessed April 23, 2007.
  • 12
    • 0032240222 scopus 로고    scopus 로고
    • Scaling an expert system data mart: more facilities in real-time
    • McNamee L.A., Launsby B.D., Frisse M.E., et al. Scaling an expert system data mart: more facilities in real-time. Proc AMIA Symp (1998) 498-502
    • (1998) Proc AMIA Symp , pp. 498-502
    • McNamee, L.A.1    Launsby, B.D.2    Frisse, M.E.3
  • 13
    • 0037069315 scopus 로고    scopus 로고
    • Metadata-driven creation of data marts from an EAV-modeled clinical research database
    • Brandt C.A., Morse R., Matthews K., et al. Metadata-driven creation of data marts from an EAV-modeled clinical research database. Int J Med Inform 65 (2002) 225-241
    • (2002) Int J Med Inform , vol.65 , pp. 225-241
    • Brandt, C.A.1    Morse, R.2    Matthews, K.3
  • 16
    • 0347840447 scopus 로고    scopus 로고
    • Medical data mining: knowledge discovery in a clinical data warehouse
    • Prather J.C., Lobach D.F., Goodwin L.K., et al. Medical data mining: knowledge discovery in a clinical data warehouse. Proc AMIA Symp (1997) 101-105
    • (1997) Proc AMIA Symp , pp. 101-105
    • Prather, J.C.1    Lobach, D.F.2    Goodwin, L.K.3
  • 17
    • 0036551356 scopus 로고    scopus 로고
    • Data mining methods for improving birth outcomes prediction
    • Goodwin L.K., and Iannacchione M.A. Data mining methods for improving birth outcomes prediction. Outcomes Manag 6 (2002) 80-85
    • (2002) Outcomes Manag , vol.6 , pp. 80-85
    • Goodwin, L.K.1    Iannacchione, M.A.2
  • 18
    • 34248363374 scopus 로고    scopus 로고
    • Mining a clinical data warehouse to discover disease-finding associations using co-occurrence statistics
    • Cao H., Markatou M., Melton G.B., et al. Mining a clinical data warehouse to discover disease-finding associations using co-occurrence statistics. Proc AMIA Symp (2005) 106-110
    • (2005) Proc AMIA Symp , pp. 106-110
    • Cao, H.1    Markatou, M.2    Melton, G.B.3
  • 19
    • 33748937391 scopus 로고    scopus 로고
    • Data mining and clinical data repositories: insights from a 667,000 patient data set
    • Mullins I.M., Siadaty M.S., Lyman J., et al. Data mining and clinical data repositories: insights from a 667,000 patient data set. Comput Biol Med 36 (2006) 1351-1377
    • (2006) Comput Biol Med , vol.36 , pp. 1351-1377
    • Mullins, I.M.1    Siadaty, M.S.2    Lyman, J.3
  • 20
    • 0034002078 scopus 로고    scopus 로고
    • Co-morbidity data in outcomes research: are clinical data derived from administrative databases a reliable alternative to chart review?
    • Humphries K.H., Rankin J.M., Carere R.G., et al. Co-morbidity data in outcomes research: are clinical data derived from administrative databases a reliable alternative to chart review?. J Clin Epidemiol 53 (2000) 343-349
    • (2000) J Clin Epidemiol , vol.53 , pp. 343-349
    • Humphries, K.H.1    Rankin, J.M.2    Carere, R.G.3
  • 21
    • 0030764817 scopus 로고    scopus 로고
    • Assessing quality using administrative data
    • Iezzoni L.I. Assessing quality using administrative data. Ann Intern Med 127 (1997) 666-674
    • (1997) Ann Intern Med , vol.127 , pp. 666-674
    • Iezzoni, L.I.1
  • 22
    • 9744274686 scopus 로고    scopus 로고
    • Features to consider in a data warehousing system
    • Gorla N. Features to consider in a data warehousing system. Commun ACM 46 11 (2003) 111-115
    • (2003) Commun ACM , vol.46 , Issue.11 , pp. 111-115
    • Gorla, N.1
  • 23
    • 37849037910 scopus 로고    scopus 로고
    • Weber R, Schek H, Blott S. A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces. VLDB'98, Proceedings of the twenty fourth International Conference on Very Large Data Bases; 1998. p. 194-205.
  • 24
    • 0037406567 scopus 로고    scopus 로고
    • Why is the snowflake schema a good data warehouse design?
    • Levene M., and Loizou G. Why is the snowflake schema a good data warehouse design?. Information Systems 28 3 (2003) 225-240
    • (2003) Information Systems , vol.28 , Issue.3 , pp. 225-240
    • Levene, M.1    Loizou, G.2
  • 25
    • 0031743090 scopus 로고    scopus 로고
    • Data extraction and ad hoc query of an entity-attribute-value database
    • Nadkarni P.M., and Brandt C. Data extraction and ad hoc query of an entity-attribute-value database. J Am Med Inform Assoc 5 (1998) 511-527
    • (1998) J Am Med Inform Assoc , vol.5 , pp. 511-527
    • Nadkarni, P.M.1    Brandt, C.2
  • 26
    • 0035374933 scopus 로고    scopus 로고
    • Implementing a data warehouse at Inglis Innovative Services
    • Breen C., and Rodrigues L.M. Implementing a data warehouse at Inglis Innovative Services. J Healthc Inf Manag 15 (2001) 87-97
    • (2001) J Healthc Inf Manag , vol.15 , pp. 87-97
    • Breen, C.1    Rodrigues, L.M.2
  • 27
    • 16544383266 scopus 로고    scopus 로고
    • A visual interface designed for novice users to find research patient cohorts in a large biomedical database
    • Murphy S.N., Gainer V., and Chueh H.C. A visual interface designed for novice users to find research patient cohorts in a large biomedical database. Proc AMIA Symp (2003) 489-493
    • (2003) Proc AMIA Symp , pp. 489-493
    • Murphy, S.N.1    Gainer, V.2    Chueh, H.C.3
  • 28
    • 0035375845 scopus 로고    scopus 로고
    • Toward best practice: leveraging the electronic patient record as a clinical data warehouse
    • Ledbetter C.S., and Morgan M.W. Toward best practice: leveraging the electronic patient record as a clinical data warehouse. J Healthc Inf Manag 15 (2001) 119-131
    • (2001) J Healthc Inf Manag , vol.15 , pp. 119-131
    • Ledbetter, C.S.1    Morgan, M.W.2
  • 29
    • 0033257919 scopus 로고    scopus 로고
    • Scaling a data retrieval and mining application to the enterprise-wide level
    • Nigrin D.J., and Kohane I.S. Scaling a data retrieval and mining application to the enterprise-wide level. Proc AMIA Symp (1999) 901-905
    • (1999) Proc AMIA Symp , pp. 901-905
    • Nigrin, D.J.1    Kohane, I.S.2
  • 30
    • 33845404801 scopus 로고    scopus 로고
    • Dynamic tables: an architecture for managing evolving, heterogeneous biomedical data in relational database management systems
    • Corwin J., Silberschatz A., Miller P.L., et al. Dynamic tables: an architecture for managing evolving, heterogeneous biomedical data in relational database management systems. J Am Med Inform Assoc 14 (2007) 86-93
    • (2007) J Am Med Inform Assoc , vol.14 , pp. 86-93
    • Corwin, J.1    Silberschatz, A.2    Miller, P.L.3
  • 31
    • 7444262607 scopus 로고    scopus 로고
    • Mapping from a clinical data warehouse to the HL7 reference information model
    • Lyman J.A., Scully K., Tropello S., et al. Mapping from a clinical data warehouse to the HL7 reference information model. Proc AMIA Symp (2003) 920
    • (2003) Proc AMIA Symp , pp. 920
    • Lyman, J.A.1    Scully, K.2    Tropello, S.3
  • 32
    • 37849003336 scopus 로고    scopus 로고
    • HL7. Health level 7. Available at: http://www.hl7.org. Accessed June 15, 2007.
  • 33
    • 21644454470 scopus 로고    scopus 로고
    • Knowledge sharing and information integration in healthcare using ontologies and deductive databases
    • Nardon F.B., and Moura L.A. Knowledge sharing and information integration in healthcare using ontologies and deductive databases. Medinfo 11 Pt 1 (2004) 62-66
    • (2004) Medinfo , vol.11 , Issue.PART 1 , pp. 62-66
    • Nardon, F.B.1    Moura, L.A.2
  • 34
    • 33646532050 scopus 로고    scopus 로고
    • Standardizing laboratory data by mapping to LOINC
    • Khan A.N., Griffith S.P., Moore C., et al. Standardizing laboratory data by mapping to LOINC. J Am Med Inform Assoc 13 3 (2006) 353-355
    • (2006) J Am Med Inform Assoc , vol.13 , Issue.3 , pp. 353-355
    • Khan, A.N.1    Griffith, S.P.2    Moore, C.3
  • 35
    • 0038580808 scopus 로고    scopus 로고
    • Concept-match medical data scrubbing. How pathology text can be used in research
    • Berman J.J. Concept-match medical data scrubbing. How pathology text can be used in research. Arch Pathol Lab Med 127 (2003) 680-686
    • (2003) Arch Pathol Lab Med , vol.127 , pp. 680-686
    • Berman, J.J.1
  • 36
    • 37849008611 scopus 로고    scopus 로고
    • National Institutes of Health. Clinical research and the HIPAA privacy rule. Available at: http://privacyruleandresearch.nih.gov/clin_research.asp. Accessed June 18, 2007.
  • 37
    • 33645565690 scopus 로고    scopus 로고
    • Creation of clinical research databases in the 21st century: a practical algorithm for HIPAA compliance
    • Schell S.R. Creation of clinical research databases in the 21st century: a practical algorithm for HIPAA compliance. Surg Infect (Larchmt) 7 1 (2006) 37-44
    • (2006) Surg Infect (Larchmt) , vol.7 , Issue.1 , pp. 37-44
    • Schell, S.R.1
  • 38
    • 33846936304 scopus 로고    scopus 로고
    • Evaluating common de-identification heuristics for personal health information
    • El Emam K., Jabbouri S., Sams S., et al. Evaluating common de-identification heuristics for personal health information. J Med Internet Res 8 4 (2006) E28
    • (2006) J Med Internet Res , vol.8 , Issue.4
    • El Emam, K.1    Jabbouri, S.2    Sams, S.3
  • 39
    • 0942266011 scopus 로고    scopus 로고
    • Evaluation of a deidentification (de-id) software engine to share pathology reports and clinical documents for research
    • Gupta D., Saul M., and Gilbertson J. Evaluation of a deidentification (de-id) software engine to share pathology reports and clinical documents for research. Am J Clin Pathol 121 (2004) 176-186
    • (2004) Am J Clin Pathol , vol.121 , pp. 176-186
    • Gupta, D.1    Saul, M.2    Gilbertson, J.3
  • 40
    • 33748740816 scopus 로고    scopus 로고
    • Development and evaluation of an open source software tool for deidentification of pathology reports
    • Beckwith B.A., Mahaadevan R., Balis U.J., et al. Development and evaluation of an open source software tool for deidentification of pathology reports. BMC Med Inform Decis Mak 6 (2006) 12-21
    • (2006) BMC Med Inform Decis Mak , vol.6 , pp. 12-21
    • Beckwith, B.A.1    Mahaadevan, R.2    Balis, U.J.3
  • 41
    • 0035133051 scopus 로고    scopus 로고
    • UMLS concept indexing for production databases: a feasibility study
    • Nadkarni P., Chen R., and Brandt C. UMLS concept indexing for production databases: a feasibility study. J Am Med Inform Assoc 8 (2001) 80-91
    • (2001) J Am Med Inform Assoc , vol.8 , pp. 80-91
    • Nadkarni, P.1    Chen, R.2    Brandt, C.3
  • 42
    • 24044436536 scopus 로고    scopus 로고
    • MediClass: a system for detecting and classifying encounter-based clinical events in any electronic medical record
    • Hazlehurst B., Frost H.R., Sittig D.F., et al. MediClass: a system for detecting and classifying encounter-based clinical events in any electronic medical record. J Am Med Inform Assoc 12 (2005) 517-529
    • (2005) J Am Med Inform Assoc , vol.12 , pp. 517-529
    • Hazlehurst, B.1    Frost, H.R.2    Sittig, D.F.3
  • 43
    • 33847784712 scopus 로고    scopus 로고
    • SPIN query tools for de-identified research on a humongous database
    • McDonald C.J., Dexter P., Schadow G., et al. SPIN query tools for de-identified research on a humongous database. Proc AMIA Symp (2005) 515-519
    • (2005) Proc AMIA Symp , pp. 515-519
    • McDonald, C.J.1    Dexter, P.2    Schadow, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.