Uses of electronic health records for public health surveillance to advance public health

Annual Review of Public Health

Volumn 36, Issue , 2015, Pages 345-359

  Birkhead, Guthrie S ^a,b   Klompas, Michael ^c,d   Shah, Nirav R ^e  

^a NEW YORK STATE DEPARTMENT OF HEALTH   (United States)

^b UNIVERSITY AT ALBANY   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

^d BRIGHAM AND WOMEN S HOSPITAL   (United States)

^e KAISER FOUNDATION HOSPITAL   (United States)

Author keywords

Electronic health records; Meaningful user; Public health surveillance

Indexed keywords

CHRONIC DISEASE; CLINICAL STUDY; ELECTRONIC MEDICAL RECORD; FLU LIKE SYNDROME; HEALTH CARE POLICY; HEALTH SURVEY; HOSPITAL DISCHARGE; HUMAN; INFLUENZA; MEANINGFUL USE CRITERIA; PATIENT CODING; PRIORITY JOURNAL; PUBLIC HEALTH SERVICE; REVIEW; SEXUALLY TRANSMITTED DISEASE; TUBERCULOSIS; VIRUS HEPATITIS; VITAL SIGN; HEPATITIS, VIRAL, HUMAN; PROCEDURES; PUBLIC HEALTH; TUBERCULOSIS, PULMONARY; UNITED STATES;

CHRONIC DISEASE; ELECTRONIC HEALTH RECORDS; HEPATITIS, VIRAL, HUMAN; HUMANS; PATIENT PROTECTION AND AFFORDABLE CARE ACT; POPULATION SURVEILLANCE; PUBLIC HEALTH; PUBLIC HEALTH ADMINISTRATION; TUBERCULOSIS, PULMONARY; UNITED STATES;

EID: 84925245442     PISSN: 01637525     EISSN: 15452093     Source Type: Book Series    
DOI: 10.1146/annurev-publhealth-031914-122747     Document Type: Review

References (44)

1. Allen-Dicker J, Klompas M. 2012. Comparison of electronic laboratory reports, administrative claims, and electronic health record data for acute viral hepatitis surveillance. J. Public Health Manag. Pract. 18(3):209-14
2. ASTHO (Assoc. State Territ. Health Off.). 2011. Meaningful use readiness survey. ASTHO, Arlington, VA. http://www.astho.org/programs/e-health/meaningful-use-readiness-survey/
3. Blumenthal D. 2010. Launching HITECH. N. Engl. J. Med. 362(5):382-85
4. Blumenthal D, Tavenner M. 2010. The 'meaningful use' regulation for electronic health records in U.S. hospitals. N. Engl. J. Med. 363(6):501-4
5. Booth HP, Prevost AT, Gulliford MC. 2013. Validity of smoking prevalence estimates from primary care electronic health records compared with national population survey data for England, 2007 to 2011. Pharmacoepidemiol. Drug Saf. 22(12):1357-61
6. Calderwood MS, Platt R, Hou X, Malenfant J, Haney G, et al. 2010. Real-time surveillance for tuberculosis using electronic health record data from an ambulatory practice in eastern Massachusetts. Public Health Rep. 125(6):843-50
7. Calman N, Hauser D, Lurio J, Wu WY, Pichardo M. 2012. Strengthening public health and primary care collaboration through electronic health records. Am. J. Public Health 102(11):e13-18
8. CDC (Cent. Dis. Control Prev.). 1996. Historical perspectives notifiable disease surveillance and notifiable disease statistics - United States, June 1946 and June 1996. MMWR 45(25):530-36
9. CDC (Cent. Dis. Control Prev.). 2008. Automated detection and reporting of notifiable diseases using electronic medical records versus passive surveillance - Massachusetts, June 2006-July 2007. MMWR 57(14):373-76
10. CDC (Cent. Dis. Control Prev.). 2013. Case definitions for notifiable disease surveillance. Updated Dec. 10. CDC, Atlanta. http://wwwn.cdc.gov/nndss/script/casedefDefault.aspx
11. CDC (Cent. Dis. Control Prev.). 2014. Behavioral Risk Factor Surveillance System. Updated Sept. 29. CDC, Atlanta. http://www.cdc.gov/brfss/
12. CDC (Cent. Dis. Control Prev.). 2014. Meaningful use. Updated Sept. 16. CDC, Atlanta. http://www.cdc.gov/ehrmeaningfuluse/
13. CDC (Cent. Dis. Control Prev.). 2014. Overview of influenza surveillance. Updated Oct. 6. CDC, Atlanta. http://www.cdc.gov/flu/weekly/overview.htm
14. CDC (Cent. Dis. Control Prev.). 2014. Prevention and Public Health Fund. Updated Feb. 11. CDC, Atlanta. http://www.cdc.gov/fmo/topic/PPHF/
15. Chiolero A, Santschi V, Paccaud F. 2013. Public health surveillance with electronic medical records: at risk of surveillance bias and overdiagnosis. Eur. J. Public Health 23(3):350-51
16. Chute CG, Koo D. 2002. Public health, data standards, and vocabulary: crucial infrastructure for reliable public health surveillance. J. Public Health Manag. Pract. 8(3):11-17
17. D'Amore JD, Sittig DF, Ness RB. 2012. How the continuity of care document can advance medical research and public health. Am. J. Public Health 102(5):e1-4
18. Effler P, Ching-Lee M, Bogard A, Ieong MC, Nekomoto T, Jernigan D. 1999. Statewide system of electronic notifiable disease reporting from clinical laboratories: comparing automated reporting with conventional methods. JAMA 282(19):1845-50
19. Elliott AF, Davidson A, Lum F, Chiang MF, Saaddine JB, et al. 2012. Use of electronic health records and administrative data for public health surveillance of eye health and vision-related conditions in the United States. Am. J. Ophthalmol. 154(6 Suppl.):S63-70
20. GNU Operat. Syst. 1991. GNU Library General Public License. Version 2.0, June. Free Software Found., Boston. http://www.gnu.org/copyleft/library.html
21. German RR, Lee LM, Horan JM, Milstein RC, Pertowski CA, et al. 2001. Updated guidelines for evaluating public health surveillance systems. Recommendations from the Guidelines Working Group. MMWR 50(RR-13):1-35
22. HITPC Meaningful Use Workgr. 2014. Meaningful Use stage 3 recommendations. Updated March 11. Off. Natl. Coord. Health Inf. Technol., Washington, DC. http://www.healthit.gov/FACAS/sites/faca/files/hitpc-muwg-stage3-recs-2014-03-11.pdf
23. Hripcsak G, Soulakis ND, Li L, Morrison FP, Lai AM, et al. 2009. Syndromic surveillance using ambulatory electronic health records. J. Am. Med. Inf. Assoc. 16:354-61
24. Hsiao CJ, Hing E. 2012. Use and characteristics of electronic health record systems among office-based physician practices: United States, 2001-2012. NCHS Data Brief. Updated Dec. 6, CDC, Atlanta. http://www.cdc.gov/nchs/data/databriefs/db111.htm
25. IOM (Inst. Med.). 2012. Primary Care and Public Health: Exploring Integration to Improve Population Health. Washington, DC: IOM, Natl. Acad.
26. IOM (Inst. Med.). 2014. Capturing Social and Behavioral Domains on Electronic Health Records: Summary of Selected Domains. Washington, DC: Natl. Acad. Sci. http://www.iom.edu/~/media/Files/Report%20Files/2014/EHR-Phase-1/EHRdomains.pdf
27. ISDS (Int. Soc. Dis. Surveill.). 2012. Electronic Syndromic Surveillance Using Hospital Inpatient and Ambulatory Clinical Care Electronic Health Record Data. Recommendations from the ISDS Meaningful Use Workgroup. Brighton, MA: ISDS. http://www.syndromic.org/storage/ISDS-2012-MUse-Recommendations.pdf
28. Klompas M, Eggleston E, McVetta J, Lazarus R, Li L, Platt R. 2013. Automated detection and classification of type 1 versus type 2 diabetes using electronic health record data. Diabetes Care 36(4):914-21
29. Klompas M, McVetta J, Lazarus R, Eggleston E, Haney G, et al. 2012. Integrating clinical practice and public health surveillance using electronic medical record systems. Am. J. Public Health 102(S3):S325-32
30. Kukafka R, Ancker JS, Chan C, Chelico J, Khan S, et al. 2007. Redesigning electronic health record systems to support public health. J. Biomed. Inf. 40(4):398-409
31. Langmuir AD. 1963. The surveillance of communicable diseases of national importance. N. Engl. J. Med. 268:182-92
32. Lazarus R, Klompas M, Campion FX, McNabb SJ, Hou X, et al. 2009. Electronic support for public health: validated case finding and reporting for notifiable diseases using electronic medical data. J. Am. Med. Inf. Assoc. 16(1):18-24
33. rd ed.
34. Lenert L, Sundwall DN. 2012. Public health surveillance and meaningful use regulations: a crisis of opportunity. Am. J. Public Health 102(3):e1-7
35. Loonsk JW, McGarvey SR, Conn LA, Johnson J. 2006. The Public Health Information Network (PHIN) preparedness initiative. J. Am. Med. Inf. Assoc. 13:1-4
36. OPHSS (Off. Public Health Sci. Serv.). 2014. Summary of public health objectives in stage 2 Meaningful Use - ONC and CMS final rules. Updated April 1. OPHSS, Atlanta. http://www.cdc.gov/ehrmeaningfuluse/Docs/Summary%20of%20PH%20Objectives%20in%20Stage%202%20MU%20ONC%20and%20CMS%20Final%20Rules-04-01-2014.pdf
37. Overhage JM, Grannis S, McDonald DJ. 2008. A comparison of the completeness and timeliness of automated laboratory reporting and spontaneous reporting of notifiable conditions. Am. J. Public Health 98(2):344-50
38. RWJF (Robert Wood Johnson Found.). 2013. Health Information Technology in the United States: Better Information Systems for Better Care, 2013. Princeton, NJ: RWJF. http://www.rwjf.org/en/research-publications/find-rwjf-research/2013/07/health-information-technology-in-the-united-states-2013.html
39. Silk BJ, Berkelman RL. 2005. A review of strategies for enhancing the completeness of notifiable disease reporting. J. Public Health Manag. Pract. 11(3):191-200
40. Sosin DM, Hopkins RS. 2010. Public health surveillance for preparedness and emergency response: biosurveillance for human health. See Ref. 33, pp. 306-20
41. Thacker SB. 2010. Historical development. See Ref. 33, pp. 1-17
42. Tomasallo CD, Hanrahan LP, Tandias A, Chang TS, Cowan KJ, Guilbert TW. 2014. Estimating Wisconsin asthma prevalence using clinical electronic health records and public health data. Am. J. Public Health 104(1):e65-73
43. Vogel J, Brown JS, Platt R, Land T, Klompas M. 2014. MDPHnet: secure, distributed sharing of electronic health record data for public health surveillance, evaluation, and planning. Am. J. Public Health 104:2265-70
44. Yih CW, et al. 2014. Automated influenza-like illness reporting - an efficient adjunct to traditional sentinel surveillance. Public Health Rep. 129:55-63