Specialized Medical Databases

  • Morris F. Collen
Part of the Health Informatics book series (HI)


In the 1960s the high costs for the storage of data in computers, limited many of the earliest medical databases to relatively small collections of patients’ data. A file of patient (or case) identifiers, with a limited amount of clinical and demographic data was usually called a “register”; and the organizational structure that maintained it was called a “registry” (Laszlo et al. 1985; Laszlo 1985). Drolet and Johnson (2008) reviewed the literature related to registers and registries; and noted that the two terms, registries and registers, were often used interchangeably. Registries were often initiated for the follow-up care of patients, for tracking patients with specific diseases of clinical interest, for monitoring trends in the incidence of a disease, or for assessing the use of specific medical procedures (Garfolo and Keltner 1983). Clinical registries typically included selected and limited data, collected from one or more medical institutions or from within a defined geographic region; for patients who had a specific disease and/or had been treated with a specific therapy or medical technology in order to evaluate patient outcomes and/or assess the cost-effectiveness of a medical technology. Health services registries were initiated to monitor trends in the use and costs of health care services, such as the rates of hospitalizations and/or office visits. Epidemiology registries were established to follow patients with specific diseases in order to monitor trends in the prevalence and incidence rates of the diseases. Registries often became indistinguishable from databases as they accumulated more data; and as more powerful computers with cheaper and larger storage capacities became available; registries were then generally referred to as databases.


Cancer Registry Comprehensive Cancer Center Sudden Infant Death Syndrome Case Coronary Artery Surgery Study Perinatal Database 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Alterescu S, Friedman CA, Margolis S, Ritchey MG. AIDS case registry system. Proc SSCAMC. 1983:418–20.Google Scholar
  2. Ames JE, Strawn JE. National database for the procurement and transplantation of kidneys. Proc SCAMC. 1987:743–6.Google Scholar
  3. Ames JE, Strawn JE, Vaughn WK. National database for the procurement and transplantation of non-renal organs. Proc SCAMC. 1988:508–11.Google Scholar
  4. Banks G, Caplan LR, Hier DB. The Michael Reese stroke registry, a microcomputer-implemented data base. Proc SCAMC. 1983:724–7.Google Scholar
  5. Bean LL, May DL, Skolnick M. The Mormon historical demography project. Hist Methods. 1978;11:45–53.PubMedCrossRefGoogle Scholar
  6. Beaty TH, Khoury MJ. Interface of genetics and epidemiology. Epidemiol Rev. 2000;22:120–5.PubMedCrossRefGoogle Scholar
  7. Block JB, Isacoff WH. Adjuvant therapy in cancer. Cancer Res. 1977;37:939–42.Google Scholar
  8. Blum BI, Lenhard RE, Braine H, Kammer A. A clinical information display system. Proc SCAMC. 1977:131–8.Google Scholar
  9. Bokuski M. Correlating gene linkage maps with physical maps of chromosomes. National Library of Medicine News. 1989 (June–July):6.Google Scholar
  10. Botstein D, White RL, Skolnick M, Davis RW. Construction of a genetic linkage map in man using restriction fragment length polymorphisms. Am J Hum Genet. 1980;32:314–31.PubMedGoogle Scholar
  11. Boyd DR, Lowe RJ, Nyhus BRJ, Nyhus LM. Trauma registry: new computer method for multifactorial evaluation of a major health problem. JAMA. 1973;223:422–8.PubMedCrossRefGoogle Scholar
  12. Breslow L. Incidence of cancer in Alameda county, California, 1960–1964. Berkeley: California State Deparment of Health; 1967.Google Scholar
  13. Bruce RA, Gey GO, Cooper MN, et al. Seattle heart watch: initial clinical, circulatory and electrocardiographic responses to maximal exercise. Am J Cardiol. 1974;33:459–69.PubMedCrossRefGoogle Scholar
  14. Bruce RA, Hossack KF, Belanger L, et al. A computer terminal program to evaluate cardiovascular functional limits and estimate coronary event risks. West J Med. 1981;135:342–50.PubMedGoogle Scholar
  15. Buhle EL, Goldwein JW, Benjamin I. OncoLink: a multimedia oncology information resource on the internet. Proc AMIA. 1994:103–7.Google Scholar
  16. Buyse ML. Computer-based information retrieval and decision support for birth defects and genetic disorders. Pediatrics. 1984;74:557–8.PubMedGoogle Scholar
  17. Byrd BF. Cancer program manual: commission on cancer, American College of Surgeons. 1974a: 1–19.Google Scholar
  18. Byrd BF. Cancer registry manual: commission on cancer, American College of Surgeons. 1974b:1–63.Google Scholar
  19. Cabral RM, Cheng W. An integrated database system for managing medical information: a tumor registry application. Proc SCAMC. 1978:298–302.Google Scholar
  20. Califf RM, Hlatky MA, Mark DB, et al. Randomized trials of coronary artery by pass surgery: impact on clinical practice at Duke University Medical Center. Circulation. 1985;72(suppl V):136–44.Google Scholar
  21. Castle CH. Systems for collection and analysis of clinical data on patients with acute myocardial infarction. Proceedings of the Conference Workshop on Regional Med Programs. Washington, DC: NIH, USHEW, 1968:108–10.Google Scholar
  22. Chaitman BR, Bourassa MG, Davis K, et al. Angiographic prevalence of high-risk coronary artery disease in patient subsets (CASS). Circulation. 1981;64:360–7.PubMedCrossRefGoogle Scholar
  23. Chik L, Sokol J, Kooi R, et al. A perinatal database management system. Methods Inform Med. 1981;20:133–41.Google Scholar
  24. Chung CS. Genetic analysis of human family and population data with use of digital computers. Proceedings of the 3rd IBM Med Symposium. Endicott: IBM, 1961:53–69.Google Scholar
  25. Clapp-Channing NE, Bobula JA. Microcomputer-based management of a longitudinal geriatric research study. Proc SCAMC. 1984:348–51.Google Scholar
  26. Clark DE. Development of a statewide trauma registry using multiple linked sources of data. Proc AMIA. 1994:654–8.Google Scholar
  27. Coffman GA, Mezzich JE. Research use of a general psychiatric database. Proc SCAMC. 1983:721–3.Google Scholar
  28. Collen MF. Computers in preventive health services research. 7th IBM Medical Symposium. Poughkeepsie: IBM, Oct 27, 1965.Google Scholar
  29. Collen MF. Periodic health examinations using an automated multitest laboratory. JAMA. 1966;195:830–3.PubMedCrossRefGoogle Scholar
  30. Collen MF. The multitest laboratory in health care of the future. Hospitals. 1967;41:119–25.PubMedGoogle Scholar
  31. Collen MF, editor. Multiphasic health testing services. New York: Wiley; 1978.Google Scholar
  32. Collins FS. Identification of disease genes: recent successes. Hosp Pract. 1991;26:93–8.Google Scholar
  33. Cooper GF, Hennings-Yeomans P, Visweswaran S, et al. An efficient Bayesian method for predicting clinical outcomes from genome-wide data. Proc AMIA. 2010: 127–31.Google Scholar
  34. Corvin A, Craddock N, Sullivan PF. Genome-wide association, studies and primer. Psychol Med. 2010;40:1063–77.PubMedCrossRefGoogle Scholar
  35. Cutler SJ. The use of tumor registry data. Calif Med. 1967;106:98–107.PubMedGoogle Scholar
  36. Cutts JW, Mitchell JA. Microcomputer-based genetics office database system. Proc SCAMC. 1985:487–91.Google Scholar
  37. David SS. A comprehensive computer-based medical information system. Proc SCAMC. 1977:143–53.Google Scholar
  38. De Groot JM, Simpkins JD. Information processing and transplant organ matching. Proc MEDINFO. 1980:1136–9.Google Scholar
  39. Denny JC, Ritchie MD, Basford MA, et al. PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations. Bioinformatics. 2010;26:1205–2010.PubMedCrossRefGoogle Scholar
  40. Detre K, Holubkov R, Kelsey S, et al. Percutaneous transluminal coronary angioplasty in 1985–1986 and 1977–1981; The National Heart, Lung, and Blood Institute Registry. N Engl J Med. 1988;318:265–70.PubMedCrossRefGoogle Scholar
  41. Dintleman SM, Maness AT, Skolnick MH, Bean LL. GENISYS: a genealogical information system. In: Dyke B, editor. Genealogical demography. New York: Academic; 1980. p. 94–114.Google Scholar
  42. Dozier JA, Hammond WE, Stead WW. Creating a link between medical and analytical databases. Proc SCAMC. 1985:478–82.Google Scholar
  43. Drolet BC, Johnson KB. Categorizing the world of registries. J Biomed Inform. 2008;41:1009–20.PubMedCrossRefGoogle Scholar
  44. ECRI. Implant recalls – do hospitals notify recipients. ECRI Health Techol Trends. 1989;1:7.Google Scholar
  45. Engelke SC, Paulette EW, Kopelman AE. Neonatal information system using an interactive microcomputer data base management program. Proc SCAMC. 1981:284–5.Google Scholar
  46. Enterline JP, Majidi FM, Rossiter CM, et al. The oncology clinical information system. Proc AMIA. 1993:835–6.Google Scholar
  47. Entine SM. Wisconsin storage and retrieval system: A data management system for a clinical cancer center. Proc SCAMC. 1982:813–7.Google Scholar
  48. Epstein MN, Walker DE. Natural language access to a melanoma data base. Proc SCAMC. 1978:320–5.Google Scholar
  49. Evans S, Lemon SJ, Deters CA, et al. Automated detection of hereditary syndromes using data mining. Comput Biomed Res. 1997a;30:337–48.PubMedCrossRefGoogle Scholar
  50. Evans S, Lemon SJ, Deters CA, et al. Using data mining to characterize DNA mutations by patient clinical features. Proc AMIA. 1997b:253–7.Google Scholar
  51. Feigl P, Breslow NE, Laszlo J. The U.S. centralized cancer patient data system for uniform communication among cancer centers. J Natl Cancer Inst. 1981;67:1017–24.PubMedGoogle Scholar
  52. Fisher LD, Killip T, Mock MB, et al. Coronary Artery Surgery Study (CASS): a randomized trial of coronary artery bypass surgery; Survival data. Circulation. 1983a;68:939–50.CrossRefGoogle Scholar
  53. Fisher LD, Killip T, Mock MB, et al. Coronary Artery Surgery Study (CASS): a randomized trial of coronary artery bypass surgery; Quality of life in patients randomly assigned to treatment groups. Circulation. 1983b;68:951–60.CrossRefGoogle Scholar
  54. Flanigan SP. Computerization of academic vascular surgery. Surgery. 1989;106:911–9.PubMedGoogle Scholar
  55. Forrey AW, Pilcher S, Pence S, et al. Medical nomenclature and common conventions for trauma registries. J Med Syst. 1987;11:191–203.PubMedCrossRefGoogle Scholar
  56. Friedman GD, Lewis A. The Kaiser-Permanente Twin Registry. ln Gedda L, Parisi P, Nance WE, editors. Twin research. Part B. Biology and epidemiology. Proc Second International Congress on Twin Studies, 1977; New York: A.R.Liss, Inc, 1978;173–7.Google Scholar
  57. Friedman GD, King MC, Klatsky AL, Hulley. Characteristics of smoking-discordant monozygotic twins. In: Gedda L, Parisi P, Nance WE, editors. Part C. Twin research 3. Epidemiological and clinical studies. Twin Research 3; Proc Third International Congress on Twin Studies, 1980. New York: A.R.Liss, Inc, 1981;17–22.Google Scholar
  58. Fries JF. Time-oriented patient records and a computer databank. JAMA. 1972;222:1536–42.PubMedCrossRefGoogle Scholar
  59. Fries JF. The chronic disease data bank: first principles to future directions. J Med Philos. 1984;9:161–80.PubMedCrossRefGoogle Scholar
  60. Fries JF, McShane D. ARAMIS: a national chronic disease data bank system. Proc SCAMC. 1979:798–801.Google Scholar
  61. Fries JF, McShane DJ. ARAMIS (The American Rheumatism Association Medical Information System), a prototypical national chronic-disease data bank. West J Med. 1986;145:798–804.PubMedGoogle Scholar
  62. Fries JF, Hess E, Klinenberg JA. A standard database for rheumatic disease. Arch Rheum. 1974;17:327–36.CrossRefGoogle Scholar
  63. Gagnon DE, Schwartz RM, Anderson PA. A national perinatal data base – an idea whose time has come. Proc MEDINFO. 1986:572–4.Google Scholar
  64. Galland J, Skolnick MH. A gene mapping expert system. Comput Biomed Res. 1990;23:297–309.PubMedCrossRefGoogle Scholar
  65. Gardner DW, Klatchko DM. A microcomputer based diabetic patient registry for patient management and clinical research. Proc SCAMC. 1985:87–9.Google Scholar
  66. Garfield SR. Multiphasic health testing and medical care as a right. N Eng J Med. 1970a;283(20):1087–9.CrossRefGoogle Scholar
  67. Garfield SR. The delivery of medical care. Sci Am. 1970b;222:15–23.PubMedCrossRefGoogle Scholar
  68. Garfolo BT, Keltner L. A computerized disease register. Proc MEDINFO. 1983:909–12.Google Scholar
  69. Garrido T, Barbeau R. The Northern California perinatal research unit: a hybrid model bridging research, quality improvement and clinical practice. Perm J. 2010;14:51–6.PubMedGoogle Scholar
  70. Gersting JM. Rapid prototyping of database systems in human genetics data collection. J Med Syst. 1987;11:177–89.PubMedCrossRefGoogle Scholar
  71. Gersting JM, Conneally PM, Beidelman K. Huntington’s disease research roster support with a microcomputer database management system. Proc SCAMC. 1983:746–9.Google Scholar
  72. Gilbert FI, Nordyke RA. Automated multiphasic health testing in multispecialty group practice. Prev Med. 1973;1:261–5.CrossRefGoogle Scholar
  73. Glichlich RE, Dreyer NA, editors. Registries for Evaluating Patient Outcomes: A User’s Guide. AHRQ Pub. # 07-EHC001-1. Rockville: Agency for Healthcare Research and Quality, 2007(Apr):1–233.Google Scholar
  74. Goldman L, Waternaux C, Garfield F, et al. Impact of a cardiology data bank on physicians’ prognostic estimates. Arch Intern Med. 1981;141:1631–4.PubMedCrossRefGoogle Scholar
  75. Graves M, Bergeman ER, Lawrence CB. A graph conceptual model for developing human genome center databases. Yearbook of Med Informatics 1997:539–52.Google Scholar
  76. Gross CR, Dambrosia JM. Quality assurance for clinical data banks. Proc SCAMC. 1981:317–21.Google Scholar
  77. Grover J, Spellacy W, Winegar A, et al. Utilization of the University of Illinois regional perinatal database in three areas. Proc AAMSI. 1983:144–7.Google Scholar
  78. Hess EV. A uniform database for rheumatic diseases. Arthritis Rheum. 1976;19:645–8.PubMedCrossRefGoogle Scholar
  79. Hill CL, Balch P. On the particular applicability and usefulness of relational database systems for the management and analysis of medical data. Proc SCAMC. 1981:841–6.Google Scholar
  80. Hlatky MA, Califf RM, Kong Y, et al. Natural history of patients with single-vessel disease suitable for percutaneous transluminal coronary angioplasty. Am J Cardiol. 1983;52:225–9.PubMedCrossRefGoogle Scholar
  81. Horm JW, Asire AJ, Young JL, Pollack ES. SEER Program: Cancer incidence and mortality in the United States, 1973–81. Bethesda: NIH Pub. No. 85–1837; 1985.Google Scholar
  82. Hrubec Z, Neel JV. The national academy of sciences-national research council twin registry: ten years of operation. In: Nance WE, Allan G, Parisi P, editors. Twin research. Part B.1977. Biology and epidemiology. Proc Second International Congress on Twin Studies, 1977. New York: A. R. Liss, Inc. 1978:153–72.Google Scholar
  83. Janis M, Zangen M, Gutfeld N, Aisen P. Computerized tumour registry: an efficient system for patient follow-up, therapy evaluation and oncology teaching. In: Laudet M, Anderson J, Begon F, editors. Proc Intnl Symp Medical Data Processing. London: Taylor & Francis 1976:191–6.Google Scholar
  84. Jenders RA, Dasgupta B, Mercedes D, Clayton PD. Design and implementation of a multi-institution registry. Proc MEDINFO. 1998:45–9.Google Scholar
  85. Jennett RJ, Gall D, Waterkotte GW, Warford HS. A computerized perinatal data system for a region. J Obstet Gynecol. 1978;131:157–61.Google Scholar
  86. Kang KW, Merritt AD, Conneally PM, et al. A medical genetics data base management system. Proc SCAMC. 1978:524–9.Google Scholar
  87. Karter AJ, Rowell SE, Ackerson LM, et al. Excess maternal transmission of type 2 diabetes. Diabetes Care. 1999;22:938–43.PubMedCrossRefGoogle Scholar
  88. Karter AJ, Moffet HH, Liu J, et al. Achieving good glycemic control: imitation of new antihyperglycemic therapies in patients with type 2 diabetes from the Kaiser Permanente Northern California Registry. Am J Manag Care. 2005;11:262–70.PubMedGoogle Scholar
  89. Kent KM, Bentivoglio LG, Block PC, et al. Percutaneous transluminal coronary angioplasty: report from the registry of the National Heart, Lung, and Blood Institute. Am J Cardiol. 1982;49:2011–20.PubMedCrossRefGoogle Scholar
  90. Kern SE, Fearon ER, Kasper WF, et al. Allelic loss in colorectal cancer. JAMA. 1989;261:3099–103.PubMedCrossRefGoogle Scholar
  91. Killip T, Fisher LD, Mock MB. National heart, lung, and blood institute coronary artery surgery study. Circulation. 1981;63(supp I):I-1–I-39.Google Scholar
  92. Kolata G. Bone marrow registry needs help. San Francisco Chronicle 1989; Dec 11.Google Scholar
  93. Kong DF, Lee KL, Harrell FE, et al. Clinical experience and predicting survival in coronary disease. Arch Intern Med. 1989;149:1177–81.PubMedCrossRefGoogle Scholar
  94. Kraus JF, Greenland S, Bulterys M. Risk factors for sudden infant death syndrome in the US collaborative perinatal project. Int J Epidemiol. 1969;18:113–20.CrossRefGoogle Scholar
  95. Kronmal RA, Davis K, Fisher LD, et al. Data management for a large collaborative clinical trial (CASS: coronary artery surgery study). Comput Biomed Res. 1978;11:553–66.PubMedCrossRefGoogle Scholar
  96. Kunitz SC, Fishman IG, Gross CR. Attributes of data banks for clinical research: an experience-based approach. Proc SCAMC. 1982:837–41.Google Scholar
  97. Kuskowski MA. A computerized database for geriatric research and patient care. Proc SCAMC. 1984:352–3.Google Scholar
  98. Laszlo J. Health registry and clinical data base technology; with special emphasis on cancer registries. J Chronic Dis. 1985;38:67–78.PubMedCrossRefGoogle Scholar
  99. Laszlo J, Cox E, Angle C. Special article on tumor registries: the hospital tumor registry: Present status and future prospects. Cancer. 1976;38:395–401.PubMedCrossRefGoogle Scholar
  100. Laszlo J, Bailar JC, Mosteller F. Registers and data bases. In: Mosteller F et al., editors. Assessing medical technologies. Washington: National Academy Press; 1985. p. 101–9.Google Scholar
  101. Leahey CF. A computer system for processing tumor registry data. Proc SCAMC. 1981:190–5.Google Scholar
  102. Leavitt MB, Leinbach RC. A generalized system for collaborative on-line data collection. Comput Biomed Res. 1977;10:413–21.PubMedCrossRefGoogle Scholar
  103. Lindberg DA, Kingsland LC, Roeseler GC, et al. A new knowledge representation for diagnosis in rheumatology. Proc AMIA. 1982:299–303.Google Scholar
  104. Lomatch D, Truax T, Savage P. Use of a relational database to support clinical research: application in a diabetes program. Proc SCAMC. 1981:291–5.Google Scholar
  105. Long J, Brashear J, Matts J, Peck A. The evolution of a large clinical research database. Proc MEDCOMP IEEE. 1982;224–9.Google Scholar
  106. Marciniak TA, Leahey CF, Zufall E, et al. Information systems in oncology. Proc MEDINFO. 1986:508–12.Google Scholar
  107. Markham D, Lesser M, Gutelle P. A computerized cancer registry data system at a major teaching hospital. Proc SCAMC. 1984:75–8.Google Scholar
  108. Mathur S, Dinakarpandian D. Automated ontological gene annotation for computing disease similarity. Proc AMIA CRI. 2010:12–6.Google Scholar
  109. McCormick KA, McQueen ML. The development and use of a database management system for clinical geriatric research. Proc MEDINFO. 1986:527–31.Google Scholar
  110. McKinlay SM, Carleton RA, McKenney JL, Assaf AR. A new approach to surveillance for acute myocardial infarction: reproducibility and cost efficiency. Int J Epidemiol. 1989;16:67–83.CrossRefGoogle Scholar
  111. McKusick VA. An analysis of genetic linkage in man with assistance of digital computer. Proc 1st IBM Symp. Poughkeepsie: IBM, 1959:217–27.Google Scholar
  112. McKusick VA. Some computer applications to problems in human genetics. Proc 6th IBM Med Symp. Poughkeepsie: IBM, 1964:207–17.Google Scholar
  113. McKusick VA. Computers in research in human genetics. J Chronic Dis. 1966;19:427–41.PubMedCrossRefGoogle Scholar
  114. McKusick VA. Mendelian inheritance in man; catalog of autosomal dominant, autosomal recessive, and X-linked phenotypes. 8th ed. Baltimore: The Johns Hopkins University Press; 1988.Google Scholar
  115. McKusick VA. Forty years of medical genetics. JAMA. 1989;261:3155–8.PubMedCrossRefGoogle Scholar
  116. McKusick VA, Cross HE. Geneological linkage of records for two isolate populations. In: Acheson ED, editor. Record linkage in medicine. Edinburgh: E. & S. Livingstone; 1968. p. 263–8.Google Scholar
  117. Meaney FJ. Databases for genetic services: current usages and future directions. J Med Syst. 1987;11:227–2132.PubMedCrossRefGoogle Scholar
  118. Merz B. 700 genes mapped at world workshop. JAMA. 1989;262:175.PubMedCrossRefGoogle Scholar
  119. Miller PB, Strong RM. Clinical care and research using MEDUS/A, a medically oriented data base management system. Proc SCAMC. 1978:288–97.Google Scholar
  120. Miller PL, Nadkarni PM, Kidd KK, et al. Internet-based support for bioscience research: a collaborative genome center for human chromosome 12. JAMIA. 1995;2:351–64.PubMedGoogle Scholar
  121. Mitchell JA, Loughman WD, Epstein C. GENFILES: a computerized medical genetics information network II MEDGEN: the clinical genetics system. Am J Med Genet. 1980;7:251–66.PubMedCrossRefGoogle Scholar
  122. Murphy EA, Schulze J. A program for estimation of genetic linkage in man. Proc 3rd IBM Med Symposium. Endicott: IBM, 1961:105–16.Google Scholar
  123. Murphy EA, Sherwin RW. Estimation of genetic linkage: an outline. Methods Inform Med. 1966;5:45–54.Google Scholar
  124. Murray CL, Wallace JF. The case summary: tumor registry information available for cancer care. Proc SCAMC. 1981:187–9.Google Scholar
  125. Nadkarni PM, Brandt C, Frawley S, et al. Managing attribute-value clinical trials data using ACT/DB client-server database system. JAMIA. 1998;5:139–51.PubMedGoogle Scholar
  126. Nadkarni PM, Brandt C, Marenco L. WebEAV. JAMIA. 2000;7:343–56.PubMedGoogle Scholar
  127. Nagey DA, Wright JN, Mulligan K, Crenshaw C. A convertible perinatal database. MD Comput. 1989;6:28–36.PubMedGoogle Scholar
  128. NCI, Preliminary Report Third National Cancer Survey, 1969 Incidence. Bethesda: Biometry Branch, National Cancer Institute, National Institutes of Health 1971.Google Scholar
  129. Neitlich HW, Priest SL, O’Sullivan VJ. Development of a computerized cancer registry and impact on medical care. Proc Jt Conf SCM & SAMS. Washington, DC. 1981:10–2.Google Scholar
  130. Neitlich HW, Priest SL, O’Sullivan VJ. Development of a regional computerized cancer registry and impact on medical care. J Med Syst. 1983;7:251–5.PubMedCrossRefGoogle Scholar
  131. Nichols BJ, Rush RL, Moss PJ, et al. Data entry for multiple center data banks – a microprocessor approach. Proc SCAMC. 1981:307–10.Google Scholar
  132. Niland JC, Stahl D, Rouse L. An internet-based database system for outcomes research in the National Cancer Center and community settings. Proc AMIA. 2001:1080.Google Scholar
  133. Nordyke RA, Kulikowski CA. An informatics-based chronic disease practice. JAMIA. 1998;5:88–103.PubMedGoogle Scholar
  134. Nordyke RA, Gilbert FL, Mussen GA. Semi-automated reporting system for a nuclear medicine department. Proc AAMSI. 1982:183–7.Google Scholar
  135. O’Bryan JP, Purtilo DT. Use of the Apple III micro-computer for a nominal cancer registry. Proc AMIA. 1982:67–71.Google Scholar
  136. Oehrli MD, Quesenbery CP, Hurley LB. Northern California Cancer Registry. Summarizing data reported to the California Cancer Registry 1947–1998. Oakland: Kaiser Permanente, 1999:2–32.Google Scholar
  137. Oehrli MD, Quesenbery CP, Leyden W. Northern California Cancer Registry. Ten-year data summary 1990–1999. Oakland: Kaiser Permanente, 2001:2–36.Google Scholar
  138. Oehrli MD, Quesenbery CP, Leyden W. Northern California Cancer Registry at the Division of Research. Cases diagnosed 1947–2000. Oakland: Kaiser Permanente, 2002:2–38.Google Scholar
  139. Peckham BM, Slack WV, Carr WF, et al. Computerized data collection in the management of uterine cancer. Clin Obstet Gyn. 1967;10:1003–15.CrossRefGoogle Scholar
  140. Peterson MG, Lerer TJ, Testa MA. Designing a database system for the Division of Rheumatology. Proc SCAMC. 1983:179–81.Google Scholar
  141. Phillips W. Record linkage for a chronic disease register. In: Acheson ED, editor. Record linkage in medicine. Edinburgh: E. & S. Livingstone; 1968. p. 120–51.Google Scholar
  142. Pollack DA, McClain PW. Trauma registries; current status and future prospects. JAMA. 1989;262:2280–5.CrossRefGoogle Scholar
  143. Pollizzi JA. The design of a “functional” database system and its use in the management of the critically ill. Proc SCAMC. 1983:167–70.Google Scholar
  144. Prather JC, Lobatch DF, Goodwin LK, et al. Medical data mining: Knowledge discovery in a clinical data warehouse. Proc AMIA Symp. 1997:101–5.Google Scholar
  145. Priest SL, O’Sullivan VJ, Neitlich HW. The development of a regional computerized cancer registry. Proc SCAMC. 1983:146–8.Google Scholar
  146. Priore RL, Lane WW, Edgerton FT, et al. RPMIS: the Roswell Park management information system. Proc SCAMC. 1978:566–80.Google Scholar
  147. Prokosch HU, Seuchter SA, Thompson EA, Skolnick MH. Applying expert system techniques to human genetics. Comput Biomed Res. 1989;22:234–7.PubMedCrossRefGoogle Scholar
  148. Pryor DB, Lee KL. Methods for analysis and assessment of clinical databases: the clinician’s perspective. Stat Med. 1991;10:617–28.PubMedCrossRefGoogle Scholar
  149. Pryor TA, Warner HR. Admitting screening at latter-day saints hospital. In: Davies DF, editor. Health evaluation, an entry to the health care system. New York: Intercontinental Medical Book Co.; 1973.Google Scholar
  150. Pryor DB, Califf RM, Harrell FE, et al. Clinical data bases: accomplishments and unrealized potential. Med Care. 1985;23:623–47.PubMedCrossRefGoogle Scholar
  151. Pryor DB, Shaw L, Harrell FE, et al. Estimating the likelihood of severe coronary artery disease. Am J Med. 1991;90:553–62.PubMedGoogle Scholar
  152. Reemtsma K, Yoder RD, Lindsey ES. Automated data processing and computer analysis in renal transplantation. JAMA. 1966;196:165–6.CrossRefGoogle Scholar
  153. Reid JC, Johnson JC. Starting a patient database for chronic disease. Proc AAMSI. 1989:144–8.Google Scholar
  154. Richie S. Hands on demonstration of the VA-DHCP automated tumor registry for oncology. Proc AMIA. 1993:839–40.Google Scholar
  155. Rickli AE, Leonard MS, Takasugi S. Renal model showing needs and resource requirements. Proc MEDIS. 1978:18–21.Google Scholar
  156. Rogers WJ, Canto JG, Lambrew C, et al. Temporal trends in the treatment of over 1.5 million patients with myocardial infarction in the US from 1990 through 1999: national registry of myocardial infarction 1, 2 and 3. Am J Coll Cardiol. 2000;36:2056–63.CrossRefGoogle Scholar
  157. Rosati RA, Wallace AG, Stead EA. The way of the future. Arch Intern Med. 1973;131:285–7.PubMedCrossRefGoogle Scholar
  158. Rosati RA, Lee KL, Califf RM, et al. Problems and advantages of an observational data base approach to evaluating the effect of therapy on outcome. Circulation. 1982;65(suppl II):27–32.PubMedCrossRefGoogle Scholar
  159. Seime RJ, Rine DC. The behavioral medicine data retrieval and analysis program at West Virginia University Medical Center. Proc SCAMC. 1978:125–31.Google Scholar
  160. Seuchter SA, Skolnick MH. HGDBMS: a human genetics database management system. Comput Biomed Res. 1988;21:478–87.PubMedCrossRefGoogle Scholar
  161. Shankar BS, Southard JW, Malone SJ, Cowley RA. Maryland disabled individual reporting system. Proc SCAMC. 1985:117–9.Google Scholar
  162. Skolnick M. The Utah geneological data base: a resource for genetic epidemiology. Banbury Report 4: Cancer Incidence in Defined Populations, Cold Spring Harbor Laboratory, 1980:285–97.Google Scholar
  163. Skolnick M, Bean L, May D, et al. Mormon demographic history. I. Nuptiality and fertility of once-married couples. Popul Stud. 1978;32:5–19.Google Scholar
  164. Starmer CF, Rosati RA. Computer-based aid to managing patients with chronic illness. Computer. 1975;8:46–50.CrossRefGoogle Scholar
  165. Starmer CF, Rosati RA, McNeer FM. Editorial: data bank use in management of chronic diseases. Comput Biomed Res. 1974;7:111–6.PubMedCrossRefGoogle Scholar
  166. Stead WW. Using computers to care for patients with renal disorders. MD Comput. 1984;1:42–9.PubMedGoogle Scholar
  167. Swyers JP. Genetic data base service. Research Resources Reporter. 1989(Dec):13–4.Google Scholar
  168. Talucci RC, Talucci JA, O’Malley KF, Schwab CW. Experience with the patient information management system/trauma registry. Proc AAMSI. 1987:178–83.Google Scholar
  169. Tatman JL, Boutselis JG. Rule-based error-checking in a gynecologic oncology therapy registry. Proc AAMSI. 1984:167–71.Google Scholar
  170. Thatford NA, McKernon RF, Flannery JT, Weiss T. Central cancer registry data management system. Proc SCAMC. 1979:804–13.Google Scholar
  171. Tuttle MS, Abarbanal R, Blois MS, Taylor H. Use of a relational DBMS to acquire & investigate patient records in a melanoma clinic. Proc AMIA. 1982:95–6Google Scholar
  172. Vallbona C, Spencer WA. Texas institute for research and rehabilitation hospital computer system (Houston). In: Collen MF, editor. Hospital computer systems. New York: Wiley; 1974. p. 622–700.Google Scholar
  173. Vallbona C, Spencer WA, Levy AH, et al. An online computer system for a rehabilitation hospital. Methods Inform Med. 1968;7:31–9.Google Scholar
  174. Vallbona C, Spencer WA, Moffet CL, et al. The patient centered information system of the Texas Institute for Rehabilitation and Research. Proc SAMS. 1973:232–60.Google Scholar
  175. Warford HS, Jennett RJ, Gall DA. A computerized perinatal data system. Med Inform. 1979;4:133–8.CrossRefGoogle Scholar
  176. Warner HR. A computer based information system for patient care. In: Bekey GA, Schwartz MD, editors. Hospital information systems. New York: Marcel Dekker; 1972. p. 293–332.Google Scholar
  177. Watson JD, Crick FHC. Molecular structure of nucleic acids: a structure for Deoxyribose Nucleic Acid. Nature. 1953;171:737–8.PubMedCrossRefGoogle Scholar
  178. Weiland AJ. The challenges of genetic advances. Healthplan. 2000;41:24–30.PubMedGoogle Scholar
  179. Wel Y, Cook BA, Casagrande JT, Bass A. User incorporation of tumor registry function within a commercially available medical information system. Proc SCAMC. 1987:842–7.Google Scholar
  180. Weyl S, Fries J, Wiederhold G, Germano F. A modular self-describing clinical databank system. Comput Biomed Res. 1975;8:279–93.PubMedCrossRefGoogle Scholar
  181. Young JL, Asire A, Pollock E. SEER Program; Cancer incidence and mortality in the United States 1973–1976. DHEW Pun. No. (NIH) 78–1837. Bethesda: National Cancer Institute. 1976.Google Scholar
  182. Yu H., Hripcsak G. A large scale family health history data set. Proc AMIA. 2000:1162.Google Scholar
  183. Yusim S, Vallbona C. Use of health-illness profile data base in health services research. Proc MEDINFO. 1986:731–5.Google Scholar

Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  • Morris F. Collen
    • 1
  1. 1.Division of ResearchOaklandUSA

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