Collaborative search in electronic health records

Journal of the American Medical Informatics Association

Volumn 18, Issue 3, 2011, Pages 282-291

  Zheng, Kai ^a   Mei, Qiaozhu ^a   Hanauer, David A ^a,b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DATA ANALYSIS; ELECTRONIC MEDICAL RECORD; INFORMATION RETRIEVAL; INTERNET; MEDICAL INFORMATICS; SEARCH ENGINE; SOCIAL NETWORK;

ACADEMIC MEDICAL CENTERS; COMPUTER USER TRAINING; DIFFUSION OF INNOVATION; ELECTRONIC HEALTH RECORDS; HUMANS; INFORMATION DISSEMINATION; INFORMATION STORAGE AND RETRIEVAL; MICHIGAN; SEARCH ENGINE; SOCIAL SUPPORT; SOCIOMETRIC TECHNIQUES; USER-COMPUTER INTERFACE;

EID: 79958286460     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2011-000009     Document Type: Article

References (60)

1. Safran C, Bloomrosen M, Hammond WE, et al. Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper. J Am Med Inform Assoc 2007;14:1-9.
2. Docteur E, Berenson R. How will comparative effectiveness research affect the quality of health care? Robert Wood Johnson Foundation Timely Analysis of Immediate Health Policy Issues. 2010:1-15. http://www.urban.org/publications/412040.html.
3. Hersh WR. Adding value to the electronic health record through secondary use of data for quality assurance, research, and surveillance. Am J Manag Care 2007;13:277-8.
4. Etheredge LM. A rapid-learning health system. Health Aff (Millwood) 2007;26: w107-8.
5. PricewaterhouseCoopers. Transforming Healthcare Through Secondary Use of Health Data, 2009. http://www.pwc.com/us/en/healthcare/publications/secondaryhealth-data.jhtml (accessed 3 Mar 2010).
6. Bloomrosen M, Detmer DE. Informatics, evidence-based care, and research; implications for national policy: a report of an American Medical Informatics Association health policy conference. J Am Med Inform Assoc 2010;17:115-23.
7. Cannon J, Lucci S. Transcription and EHRs. Benefits of a blended approach. J AHIMA 2010;81:36-40.
8. Dick RS, Steen EB, Detmer DE. The Computer-Based Patient Record: An Essential Technology for Health Care, Revised Edition. Washington, DC: National Academy Press, 1997.
9. van Ginneken AM. The physician's flexible narrative. Methods Inf Med 1996;35:98-100.
10. Lovis C, Baud RH, Planche P. Power of expression in the electronic patient record: Structured data or narrative text? Int J Med Inform 2000;58-59:101-10.
11. Moss J, Andison M, Sobko H. An analysis of narrative nursing documentation in an otherwise structured intensive care clinical information system. AMIA Annu Symp Proc 2007:543-7.
12. Madani S, Shultz E. An analysis of free text entry within a structured data entry system. AMIA Annu Symp Proc 2009:947.
13. Turchin A, Shubina M, Breydo E, et al. Comparison of information content of structured and narrative text data sources on the example of medication intensification. J Am Med Inform Assoc 2009;16:362-70.
14. The Healthcare Information and Management Systems Society (HIMSS). Clinical Analytics: Can Organizations Maximize Clinical Data? 2010. http://www.himssanalytics.org/docs/Clinical_Analytics.pdf (accessed 25 Jun 2010).
15. Palchuk MB, Fang EA, Cygielnik JM, et al. An unintended consequence of electronic prescriptions: prevalence and impact of internal discrepancies. J Am Med Inform Assoc 2010;17:472-6.
16. Tange HJ, Schouten HC, Kester AD, et al. The granularity of medical narratives and its effect on the speed and completeness of information retrieval. J Am Med Inform Assoc 1998;5:571-82.
17. Weiner M, Stump TE, Callahan CM, et al. Pursuing integration of performance measures into electronic medical records: beta-adrenergic receptor antagonist medications. Qual Saf Health Care 2005;14:99-106.
18. Zhou L, Tao Y, Cimino JJ, et al. Terminology model discovery using natural language processing and visualization techniques. J Biomed Inform 2006;39:626-36.
19. Friedman C, Shagina L, Lussier Y, et al. Automated encoding of clinical documents based on natural language processing. J Am Med Inform Assoc 2004;11:392-402.
20. Los RK, van Ginneken AM, van der Lei J. OpenSDE: a strategy for expressive and flexible structured data entry. Int J Med Inform 2005;74:481-90.
21. Johnson SB, Bakken S, Dine D, et al. An electronic health record based on structured narrative. J Am Med Inform Assoc 2008;15:54-64.
22. Uzuner Ö, Goldstein I, Luo Y, et al. Identifying patient smoking status from medical discharge records. J Am Med Inform Assoc 2008;15:14-24.
23. Natarajan K, Stein D, Jain S, et al. An analysis of clinical queries in an electronic health record search utility. Int J Med Inform 2010;79:515-22.
24. McKibbon KA, Haynes RB, Dilks CJ, et al. How good are clinical MEDLINE searches? A comparative study of clinical end-user and librarian searches. Comput Biomed Res 1990;23:583-93.
25. Zeng Q, Kogan S, Ash N, et al. Characteristics of consumer terminology for health information retrieval. Methods Inf Med 2002;41:289-98.
26. Sneiderman CA, Demner-Fushman D, Fiszman M, et al. Knowledge-based methods to help clinicians find answers in MEDLINE. J Am Med Inform Assoc 2007;14:772-80.
27. Donato D, Bonchi F, Chi T, et al. Do you want to take notes? Identifying research missions in Yahoo! Search Pad. Proceedings of the 19th international Conference on World Wide Web (WWW '10). New York: ACM Press, 2010:321-30.
28. Pirolli P. An elementary social information foraging model. Proceedings of the 27th international Conference on Human Factors in Computing Systems (CHI '09). New York: ACM Press, 2009:605-14.
29. Chi EH. Augmented social cognition: Using social web technology to enhance the ability of groups to remember, think, and reason. Proceedings of the 35th SIGMOD international Conference on Management of Data (SIGMOD '09). New York: ACM Press, 2009:973-84.
30. Hanauer DA. EMERSE: The Electronic Medical Record Search Engine. AMIA Annu Symp Proc 2006:941.
31. Hanauer DA, Englesbe MJ, Cowan JA Jr, et al. Informatics and the American College of Surgeons National Surgical Quality Improvement Program: automated processes could replace manual record review. J Am Coll Surg 2009;208:37-41.
32. Seyfried L, Hanauer DA, Nease D, et al. Enhanced identification of eligibility for depression research using an electronic medical record search engine. Int J Med Inform 2009;78:e13-8.
33. Ammori JB, Pelletier SJ, Mathur A, et al. Financial implications of surgical complications in pediatric liver transplantation. Pediatr Transplant 2008; 12:174-9.
34. Choi SW, Kitko CL, Braun T, et al. Change in plasma tumor necrosis factor receptor 1 levels in the first week after myeloablative allogeneic transplantation correlates with severity and incidence of GVHD and survival. Blood 2008;112:1539-42.
35. Englesbe MJ, Lynch RJ, Heidt DG, et al. Early urologic complications after pediatric renal transplant: a single-center experience. Transplantation 2008;86:1560-4.
36. Debenedet AT, Raghunathan TE, Wing JJ, et al. Alcohol use and cigarette smoking as risk factors for post-endoscopic retrograde cholangiopancreatography pancreatitis. Clin Gastroenterol Hepatol 2009;7:353-8.
37. Khaled Y, Mellacheruvu S, Reddy P, et al. Long-term outcomes following myeloablative allogeneic transplantation for multiple myeloma compared toautologous transplantation and the impact of graft-versus-myeloma effect. Bone Marrow Transplant 2009;44:325-6.
38. Paczesny S, Krijanovski OI, Braun TM, et al. A biomarker panel for acute graftversus-host disease. Blood 2009;113:273-8.
39. White T. Can't Beat Jazzy: Introducing the Java Platform's Jazzy New Spell Checker API. http://www.ibm.com/developerworks/java/library/j-jazzy (accessed 30 Jun 2010).
40. Hanauer DA, Zheng K, Mei Q, et al. Full-Text Search in Electronic Health Records: challenges and Opportunities. In: Kutais BG, ed. Internet Policies and Issues. Hauppauge, NY: Nova Science Publishers, 2010;7:1-15.
41. Jones R, Rey B, Madani O, et al. Generating query substitutions. Proceedings of the 15th international Conference on World Wide Web (WWW '06). New York: ACM Press, 2006:387-96.
42. Zeng QT, Crowell J, Plovnick RM, et al. Assisting consumer health information retrieval with query recommendations. J Am Med Inform Assoc 2006;13:80-90.
43. Radlinski F, Joachims T. Active exploration for learning rankings from clickthrough data. Proceedings of the 13th ACM SIGKDD international Conference on Knowledge Discovery and Data Mining (KDD '07). New York: ACM Press, 2007:570-9.
44. White RW, Marchionini G. Examining the effectiveness of real-time query expansion. Inf Process Manage 2007;43:685-704.
45. Mei Q, Zhou D, Church K. Query suggestion using hitting time. Proceeding of the 17th ACM Conference on information and Knowledge Management (CIKM '08). New York: ACM Press, 2008:469-78.
46. Morris MR, Horvitz E. SearchTogether: An interface for collaborative web search. Proceedings of the 20th Annual ACM Symposium on User interface Software and Technology (UIST '07). New York: ACM Press, 2007:3-12.
47. National Library of Medicine, My NCBI. http://www.ncbi.nlm.nih.gov/sites/myncbi/NLM (accessed 5 Aug 2010).
48. Health Information Research Unit, McMaster University, The Hedges Project. http://hiru.mcmaster.ca/hiru/HIRU_Hedges_home.aspx (accessed 27 Dec 2010).
49. Centre for Reviews and Dissemination. Search filters of RCTs and other trials. University of York. http://www.york.ac.uk/inst/crd/intertasc/rct.htm (accessed 27 Dec 2010).
50. Newman MEJ. The structure and function of complex networks. SIAM Rev 2003;45:167-256.
51. Reichardt J, Bornholdt S. Statistical mechanics of community detection. Phys Rev 2006;74:016110.
52. Newman MEJ. Modularity and community structure in networks. PNAS 2006;107:8577-82.
53. Kamada T, Kawai S. An algorithm for drawing general undirected graphs. Inf Process Lett 1988;31:7-15.
54. Erdts P, Rényi A. On the evolution of random graphs. Publ Math Inst Hungar Acad Sci 1960;5:17-61.
55. Watts DJ, Strogatz SH. Collective dynamics of 'small-world' networks. Nature 1998;393:440-2.
56. Spence PR, Reddy MC, Hall RA. Survey of collaborative information seeking practices of academic researchers. Proceedings of the 2005 international ACM SIGGROUP Conference on Supporting Group Work (GROUP '05). New York: ACM Press, 2005:85-8.
57. Morris MR. A survey of collaborative web search practices. Proceeding of the Twenty-Sixth Annual SIGCHI Conference on Human Factors in Computing Systems (CHI '08). New York: ACM Press, 2008:1657-60.
58. Star SL, Griesemer JR. Institutional ecology, 'translations' and boundary objects: Amateurs and professionals in Berkeley's museum of vertebrate zoology, 1907-39. Soc Stud Sci 1989;19:387-420.
59. Stein EW, Zwass V. Actualizing organizational memory with information systems. Inform Syst Res 1995;6:82-117.
60. Maloney-Krichmar D, Preece J. A multilevel analysis of sociability, usability, and community dynamics in an online health community. ACM Trans Comput Hum Interact 2005;12:201-32.