Dynamic clinical data mining: Search engine-based decision support

JMIR Medical Informatics

Volumn 2, Issue 1, 2014, Pages

  Celi, Leo Anthony ^a,b   Zimolzak, Andrew J ^c   Stone, David J ^d  

^a HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

^b BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

^d UNIVERSITY OF VIRGINIA   (United States)

Author keywords

Big data; Clinical informatics; Decision support

Indexed keywords

EID: 84994496962     PISSN: None     EISSN: 22919694     Source Type: Journal    
DOI: 10.2196/medinform.3110     Document Type: Review

References (40)

1. Rodrigues JJ, de la Torre I, Fernández G, López-Coronado M. Analysis of the security and privacy requirements of cloud-based electronic health records systems. J Med Internet Res 2013;15(8):e186 [FREE Full text] [doi: 10.2196/jmir.2494] [Medline: 23965254].
2. Celi LA, Mark RG, Stone DJ, Montgomery RA. "Big data" in the intensive care unit. Closing the data loop. Am J Respir Crit Care Med 2013 Jun 1;187(11):1157-1160 [FREE Full text] [doi: 10.1164/rccm.201212-2311ED] [Medline: 23725609].
3. The Committee on the Learning Health Care System in America. In: Smith M, Saunders R, Stuckhardt L, McGinnis JM, editors. Best care at lower cost: The path to continuously learning health care in America. USA: The National Academies Press; 2013.
4. Fine AM, Nigrovic LE, Reis BY, Cook EF, Mandl KD. Linking surveillance to action: Incorporation of real-time regional data into a medical decision rule. J Am Med Inform Assoc 2007;14(2):206-211 [FREE Full text] [doi: 10.1197/jamia.M2253] [Medline: 17213492].
5. Davis DA, Chawla NV, Christakis NA, Barabási A. Time to CARE: A collaborative engine for practical disease prediction. Data Min Knowl Disc 2009 Nov 25;20(3):388-415. [doi: 10.1007/s10618-009-0156-z].
6. Committee on a Framework for Development a New Taxonomy of Disease, Board on Life Sciences, Division on Earth and Life Studies, National Research Council. Toward precision medicine: Building a knowledge network for biomedical research and a new taxonomy of disease. USA: National Academies Press; 2011.
7. Carville S, Harker M, Henderson R, Gray H, Guideline Development Group. Acute management of myocardial infarction with ST-segment elevation: Summary of NICE guidance. BMJ 2013;347:f4006. [Medline: 23843545].
8. Bennett C, Doub T. caseybennett.com. 2010. Data mining and electronic health records: Selecting optimal clinical treatments in practiceURL: Http://www.caseybennett.com/uploads/DMIN-Paper-Proposal-Final-Arxiv.pdf [accessed 2014-06-14] [WebCite Cache ID 6QKOCNatb].
9. Reasoning foundations of medical diagnosis; symbolic logic, probability, and value theory aid our understanding of how physicians reason. Science 1959 Jul 3;130(3366):9-21. [Medline: 13668531].
10. Friedman CP, Wong AK, Blumenthal D. Achieving a nationwide learning health system. Sci Transl Med 2010 Nov 10;2(57):57cm29. [doi: 10.1126/scitranslmed.3001456] [Medline: 21068440].
11. Roundtable on Value & Science-Driven Health Care, The Learning Health System Series, Institute of Medicine. In: Grossman C, McGinnis JM, editors. Digital infrastructure for the learning health system: The foundation for continuous improvement in health and health care: Workshop series summary (the learning health system series). USA: National Academies Press; 2011.
12. Frankovich J, Longhurst CA, Sutherland SM. Evidence-based medicine in the EMR era. N Engl J Med 2011 Nov 10;365(19):1758-1759. [doi: 10.1056/NEJMp1108726] [Medline: 22047518].
13. Klann JG, Buck MD, Brown J, Hadley M, Elmore R, Weber GM, et al. Query health: Standards-based, cross-platform population health surveillance. J Am Med Inform Assoc 2014 Jul;21(4):650-656. [doi: 10.1136/amiajnl-2014-002707] [Medline: 24699371].
14. Pathak J, Bailey KR, Beebe CE, Bethard S, Carrell DC, Chen PJ, et al. Normalization and standardization of electronic health records for high-throughput phenotyping: The SHARPn consortium. J Am Med Inform Assoc 2013 Dec;20(e2):e341-e348. [doi: 10.1136/amiajnl-2013-001939] [Medline: 24190931].
15. Chute CG, Pathak J, Savova GK, Bailey KR, Schor MI, Hart LA, et al. The SHARPn project on secondary use of electronic medical record data: Progress, plans, and possibilities. AMIA Annu Symp Proc 2011;2011:248-256 [FREE Full text] [Medline: 22195076].
16. Savova GK, Masanz JJ, Ogren PV, Zheng J, Sohn S, Kipper-Schuler KC, et al. Mayo clinical text analysis and knowledge extraction system (cTAKES): Architecture, component evaluation and applications. J Am Med Inform Assoc 2010;17(5):507-513 [FREE Full text] [doi: 10.1136/jamia.2009.001560] [Medline: 20819853].
17. Feldman S, Reynolds H, Schubmehl D. Content analytics and the high-performing enterprise. Framingham, MA: IDC; 2012. URL: Http://public.dhe.ibm.com/software/data/sw-library/ecm-programs/ContentAnalytics-IDC.pdf [accessed 2014-06-05] [WebCite Cache ID 6Q6xdxLqK].
18. Oshima Lee E, Emanuel EJ. Shared decision making to improve care and reduce costs. N Engl J Med 2013 Jan 3;368(1):6-8. [doi: 10.1056/NEJMp1209500] [Medline: 23281971].
19. Holdren JP. Executive Office of the President, Office of Science and Technology Policy. Increasing access to the results of federally funded scientific research InternetURL: Http://www.whitehouse.gov/sites/default/files/microsites/ostp/ostp-public-access-memo-2013.pdf [accessed 2013-11-18] [WebCite Cache ID 6LEYusHy6].
20. Mello MM, Francer JK, Wilenzick M, Teden P, Bierer BE, Barnes M. Preparing for responsible sharing of clinical trial data. N Engl J Med 2013 Oct 24;369(17):1651-1658. [doi: 10.1056/NEJMhle1309073] [Medline: 24144394].
21. Drazen JM. Open data. N Engl J Med 2014 Feb 13;370(7):662. [doi: 10.1056/NEJMe1400850] [Medline: 24450856].
22. Selby J. Patient-centered outcomes research institute. Building PCORnet as a secure platform for outcomes researchURL: Http://www.pcori.org/blog/building-pcornet-as-a-secure-platform-for-outcomes-research/[accessed 2014-05-13] [WebCite Cache ID 6PXClkL4I].
23. Grande D, Mitra N, Shah A, Wan F, Asch DA. Public preferences about secondary uses of electronic health information. JAMA Intern Med 2013 Oct 28;173(19):1798-1806. [doi: 10.1001/jamainternmed.2013.9166] [Medline: 23958803].
24. Lee J, Kothari R, Ladapo JA, Scott DJ, Celi LA. Interrogating a clinical database to study treatment of hypotension in the critically ill. BMJ Open 2012;2(3) [FREE Full text] [doi: 10.1136/bmjopen-2012-000916] [Medline: 22685222].
25. Celi LA, Tang RJ, Villarroel MC, Davidzon GA, Lester WT, Chueh HC. A clinical database-driven approach to decision support: Predicting mortality among patients with acute kidney injury. J Healthc Eng 2011 Mar;2(1):97-110 [FREE Full text] [doi: 10.1260/2040-2295.2.1.97] [Medline: 22844575].
26. Celi LA, Galvin S, Davidzon G, Lee J, Scott D, Mark R. A database-driven decision support system: Customized mortality prediction. J Pers Med 2012 Sep 27;2(4):138-148 [FREE Full text] [doi: 10.3390/jpm2040138] [Medline: 23766893].
27. Sittig DF, Wright A, Osheroff JA, Middleton B, Teich JM, Ash JS, et al. Grand challenges in clinical decision support. J Biomed Inform 2008 Apr;41(2):387-392 [FREE Full text] [doi: 10.1016/j.jbi.2007.09.003] [Medline: 18029232].
28. Mayaud L, Lai PS, Clifford GD, Tarassenko L, Celi LA, Annane D. Dynamic data during hypotensive episode improves mortality predictions among patients with sepsis and hypotension. Crit Care Med 2013 Apr;41(4):954-962 [FREE Full text] [doi: 10.1097/CCM.0b013e3182772adb] [Medline: 23385106].
29. Aleksovska-Stojkovska L, Loskovska S. Data mining in clinical decision support systems. In: Gaol FL, editor. Recent progress in data engineering and internet technology. Berlin: Springer; 2013:287-293.
30. Friedman CP, Rubin JC. The learning system: Now more than ever-Let's achieve it together!. 2014 Feb 25 Presented at: HIMSS 14 Annual Conference & Exhibition; 2014-02-25; Orlando, Florida URL: Http://himss.files.cms-plus.com/2014Conference/handouts/70.pdf.
31. Clinical personalized pragmatic predictions of outcomes. Department of Veterans AffairsURL: Http://www.clinical3po.org/[accessed 2014-05-13] [WebCite Cache ID 6PXBjQHPN].
32. Sullivan D. Search Engine Land. FAQ: All about the new Google "hummingbird" algorithmURL: Http://searchengineland. com/google-hummingbird-172816 [accessed 2013-11-18] [WebCite Cache ID 6LEYRMJjZ].
33. PhysioNet. 2012. MIMIC II DatabasesURL: Http://physionet.org/mimic2/[accessed 2013-11-18] [WebCite Cache ID 6LEYagQz1].
34. Fialho AS, Celi LA, Cismondi F, Vieira SM, Reti SR, Sousa JM, et al. Disease-based modeling to predict fluid response in intensive care units. Methods Inf Med 2013;52(6):494-502. [doi: 10.3414/ME12-01-0093] [Medline: 23986268].
35. Cismondi F, Celi LA, Fialho AS, Vieira SM, Reti SR, Sousa JM, et al. Reducing unnecessary lab testing in the ICU with artificial intelligence. Int J Med Inform 2013 May;82(5):345-358. [doi: 10.1016/j.ijmedinf.2012.11.017] [Medline: 23273628].
36. Gesteland PH, Gardner RM, Tsui FC, Espino JU, Rolfs RT, James BC, et al. Automated syndromic surveillance for the 2002 Winter Olympics. J Am Med Inform Assoc 2003;10(6):547-554 [FREE Full text] [doi: 10.1197/jamia.M1352] [Medline: 12925547].
37. Elkin PL, Froehling DA, Wahner-Roedler DL, Brown SH, Bailey KR. Comparison of natural language processing biosurveillance methods for identifying influenza from encounter notes. Ann Intern Med 2012 Jan 3;156(1 Pt 1):11-18. [doi: 10.7326/0003-4819-156-1-201201030-00003] [Medline: 22213490].
38. Bates DW, Evans RS, Murff H, Stetson PD, Pizziferri L, Hripcsak G. Detecting adverse events using information technology. J Am Med Inform Assoc 2003;10(2):115-128 [FREE Full text] [Medline: 12595401].
39. Brownstein JS, Sordo M, Kohane IS, Mandl KD. The tell-tale heart: Population-based surveillance reveals an association of rofecoxib and celecoxib with myocardial infarction. PLoS One 2007;2(9):e840 [FREE Full text] [doi: 10.1371/journal.pone.0000840] [Medline: 17786211].
40. Lauer MS, D'Agostino RB. The randomized registry trial-the next disruptive technology in clinical research? N Engl J Med 2013 Oct 24;369(17):1579-1581. [doi: 10.1056/NEJMp1310102] [Medline: 23991657].