Abstract
Health departments across the United States have begun collecting new types of surveillance data from hospitals in near real time. In New York City, Boston, and Washington, D.C., for example, hospitals send daily reports of patient visits to emergency departments to the respective health departments [1–3]. Hospitals in Utah and the Commonwealth of Pennsylvania send such data in real time via health level seven (HL7) interfaces [1]. Similar projects are under way in other states [4].
This primer on public health surveillance and clinical information systems draws on actual experiences in exploring the synergy between both systems.
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Lober WB, Thomas Karras B, Wagner MM, et al. Roundtable on bioterrorism detection: information system-based surveillance. J Am Med Inform Assoc 2002; 9 (2): 105–115.
Anonymous. Syndromic surveillance for bioterrorism following the attacks on the World Trade Center—New York City, 2001. MMWR (Morb Mortal WKLY Rep) 2002; 51: 13–15.
Green MS, Kaufman Z. Surveillance systems for early detection and mapping of the spread of morbidity caused by bioterrorism. Harefuah 2002; 141: 31–33.
Tsui F-C, Espino JU, Wagner MM, et al. Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System. Proc AMIA Symp 2002.
Tsui F-C, Wagner MM, Dato V, Chang C-CH. Value of ICD-9-coded chief complaints for detection of epidemics. Proc AMIA Symp 2001; 711–715.
Quenel P, Dab W, Hannoun C, Cohen JM. Sensitivity, specificity and predictive values of health service based indicators for the surveillance of influenza A epidemics. Int J Epidemiol 1994; 23 (4): 849–855.
Brinsfield K, Gunn J. Using volume-based surveillance for an outbreak early warning system. Acad Emerg Med 2001; 8 (5): 492.
Welliver RC, Cherry JD, Boyer KM, et al. Sales of nonprescription cold remedies: a unique method of influenza surveillance. Pediatr Res 1979; 13 (9): 1015–1017.
Roush S, Birkhead G, Koo D, Cobb A, Fleming D. Mandatory reporting of diseases and conditions by health care professionals and laboratories. JAMA 2001; 282 (2): 164–170.
Department of Defense. Chemical and Biological Defense Program: annual report to Congress. 2000.
NATO handbook on the medical aspects of NBC defensive operations AMedP-6(B). NATO; 1996. [Army Field Manual 8–9; Navy Medical Publication 5059; Air Force Joint Manual 44–151.]
Anonymous. Biological Diseases/Agents List (online) 2002 (cited 2002; 12/20). Available from: http://www.bt.cdc.gov/Agent/agentlist.asp.
Dato V, Wagner M, Allswede M, Aryel R, Fapohunda A. The nation’s current capacity for the early detection of public health threats including bioterrorism. Washington, DC: Agency for Healthcare Research and Quality; 2001.
Meselson M, Guillemin J, Hugh-Jones M, et al. The Sverdlovsk anthrax outbreak of 1979. Science 1994; 266 (5188): 1202–1208.
O’Toole T. Smallpox: an attack scenario. Emerg Infect Dis 1999; 5 (4): 540–546.
Buehler J. Surveillance. In: Rothman K, Greenland S, editors. Modern epidemiology, 2nd ed. Philadelphia: Lippincott-Raven; 1998.
Wagner M, Tsui F-C, Espino J, et al. The emerging science of very early detection of disease outbreaks. J Public Health Manag Pract 2001; 6 (6): 50–58.
Centers for Disease Control and Prevention. Preventing emerging infectious diseases: a strategy for the 21st century (online) 2000 (cited 2001 April 30). Available from: http://www.cdc.gov/ncidod/emergplan/.
Wagner MM, Aryel R, Dato V. Availability and comparative value of data elements required for an effective bioterrorism detection system. Washington, DC: Agency for Healthcare Research and Quality; 2001 (11/28/01).
National Electronic Disease Surveillance System (NEDSS): a standards-based approach to connect public health and clinical medicine. J Public Health Manag Pract 2001;7(6):43– 50.
Espino J, Wagner M. The accuracy of ICD-9 coded chief complaints for detection of acute respiratory illness. Proc AMIA Symp 2001; 164–168.
Effler P, Ching-Lee M, Bogard A, Man-Cheng L, Nekomoto T, Jernigan D. Statewide system of electronic notifiable disease reporting from clinical laboratories: comparing automated reporting with conventional methods. JAMA 1999; 282 (19): 1845–1850.
Panackal AA, M’ikanatha NM, Tsui F-C, et al. Automatic electronic laboratory-based reporting of notifiable infectious diseases. Emerg Infect Dis 2001; 8 (7): 685–691.
Jain NL, Knirsch CA, Friedman C, Hripcsak G. Identification of suspected tuberculosis patients based on natural language processing of chest radiograph reports. Proc AMIA Ann Fall Symp 1996; 542–546.
Fiszman M, Chapman WW, Aronsky D, Evans RS, Haug PJ. Automatic detection of acute bacterial pneumonia from chest X-ray reports. J Am Med Inform Assoc 2000; 7 (6): 593–604.
Chapman W, Haug P. Comparing expert systems for identifying chest x-ray reports that support pneumonia. Proc AMIA Symp 1999; 216–220.
Chapman WW, Fizman M, Chapman BE, Haug PJ. A comparison of classification algorithms to automatically identify chest X-ray reports that support pneumonia. J Biomed Inform 2001; 34 (1): 4–14.
Hripcsak G, Knirsch C, Jain N, Stazesky RJ, Pablos-Mendez A, Fulmer T. A health information network for managing innercity tuberculosis: bridging clinical care, public health, and home care. Comput Biomed Res 1999; 32 (1): 67–76.
Knirsch C, Jain N, Pablos-Mendez A, Friedman C, Hripcsak G. Respiratory isolation of tuberculosis patients using clinical guidelines and an automated clinical decision support system. Infect Control Hosp Epidemiol 1998; 19 (2): 94–100.
Sittig DF, Stead WW. Computer-based physician order entry: the state of the art. J Am Med Inform Assoc 1994; 1 (2): 108–123.
Bates DW, Boyle DL, Teich JM. Impact of computerized physician order entry on physician time. In: Proceedings of the annual symposium on computer applications in medical care. 1994. p. 996.
McDonald CJ, Tierney WM, Overhage JM, et al. The Regenstrief Medical Record System— experience with MD order entry and community-wide extensions. Proceedings of the annual symposium on computer applications in medical care 1994. p. 1059.
Tierney WM, Miller ME, Overhage JM, McDonald CJ. Physician inpatient order writing on microcomputer workstations: effects on resource utilization. JAMA 1993;269(3):379– 383.
McDonald CJ. Protocol-based computer reminders, the quality of care and the non-perfectibility of man. N Engl J Med 1976; 295: 1351–1355.
McDonald CJ, Hui SL, Smith DM, et al. Reminders to physicians from an introspective computer medical record. Ann Intern Med 1984; 100 (1): 130–138.
Frame P. Can computerized reminder systems have an impact on preventive services in practice? J Gen Intern Med 1990; 5 (suppl 5): S112–S115.
Winickoff R, Coltin K, Fleishman S, Barnett G. Semiautomated reminder system for improving syphilis management. J Gen Intern Med 1986; 1 (2): 78–84.
Ornstein SM, Garr DR, Jenkins RG, Rust PF, Arnon A. Computer-generated physician and patient reminders. Tools to improve population adherence to selected preventive services. J Fam Pract 1991; 32: 82–90.
Rind DM, Safran C, Russell SP, et al. The effect of computer-based reminders on the management of hospitalized patients with worsening renal function. In: Clayton PD, editor. Proceedings of the fifteenth annual symposium on computer applications in medical care. Washington, DC: McGraw-Hill; 1993. p. 28–32.
McDonald CJ, Hui SL, Tierney WM. Effects of computer reminders for influenza vaccination on morbidity during influenza epidemics. MD Comput 1992; 9 (5): 304–312.
McDonald C. Action-oriented decisions in ambulatory medicine. Chicago: Year Book Medical; 1981.
McDonald CJ. Use of a computer to detect and respond to clinical events: its effect on clinician behavior. Ann Intern Med 1976; 84 (2): 162–167.
Bradshaw KE. A computerized laboratory alerting system to warn of life threatening events. PhD dissertation, University of Utah, Department of Medical Informatics. 1988.
Kuperman GJ, Gardner RM, Pryor AT. HELP: a dynamic hospital information system. New York: Springer-Verlag;1991.
Rind DM, Safran C, Russell SP, et al. Effect of computer-based alerts on the treatment and outcomes of hospitalized patients. Arch Intern Med 1994; 154: 1511–1517.
Hripcsak G, Clayton P, Jenders R, Cimino J, Johnson S. Design of a clinical event monitor. Comput Biomed Res 1996; 29: 194–221.
Hripcsak G, Knirsch C, Jain N, Pablos-Mendez A. Automated tuberculosis detection. J Am Med Inform Assoc 1997; 4 (5): 376–381.
Classen D, Pestotnik S, Evans R, Burke J. Description of a computerized adverse drug event monitor using a hospital information system. Hosp Pharm 1992; 27 (9): 776–779.
Evans R, Larsen R, Burke J, et al. Computer surveillance of hospital acquired infections and antibiotic use. JAMA 1986; 265: 1007–1011.
Kahn M, Steib S, Fraser V, Dunagan W. An expert system for culture-based infection control surveillance. In: Proceedings of the annual symposium on computer applications in medical care. 1993. p. 171–175.
Larsen RA, Evans RS, Burke JP, Pestotnik SL, Gardner RM, Classen DC. Improved perioperative antibiotic use and reduced surgical wound infections through the use of computer decision analysis. Infect Control Hosp Epidemiol 1989; 10: 316–320.
Wagner M, Pankaskie M, Hogan W, Tsui F, Vries J. Clinical event monitoring at the University of Pittsburgh. Proc AMIA Symp 1997; 188–192.
Wagner M, Tsui F, Pike J, Pike L. Design of a clinical notification system. Proc AMIA Symp 1999; 989–994.
Wagner M, Eisenstadt S, Hogan W, Pankaskie M. Preferences of interns and residents among e-mail, paging, and traditional methods for the delivery of different types of clinical information. Proc AMIA Symp 1998; 140–144.
Tsui F-C, Wagner M, Wilbright W. A feasibility study of two methods for end-user configuration of a clinical event monitor. Proc AMIA Symp 1999; 975–978.
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Wagner, M.M., Espino, J.U., Tsui, FC., Aryel, R.M. (2004). Public Health Surveillance: The Role of Clinical Information Systems. In: Ball, M.J., Weaver, C.A., Kiel, J.M. (eds) Healthcare Information Management Systems. Health Informatics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-4041-7_39
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DOI: https://doi.org/10.1007/978-1-4757-4041-7_39
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