Reengineering clinical research with informatics

Journal of Investigative Medicine

Volumn 54, Issue 6, 2006, Pages 327-333

  Chung, Thomas K ^a   Kukafka, Rita ^a   Johnson, Stephen B ^a,b  

^a College of Physicians and Surgeons ^*  (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

Biomedical research; Clinical trials; Medical informatics

Indexed keywords

ARTICLE; CLINICAL RESEARCH; HEALTH SERVICE; HUMAN; HUMAN RELATION; INFORMATION PROCESSING; INFORMATION SCIENCE; KNOWLEDGE; MEDICAL INFORMATICS; MEDICAL INFORMATION; MEDICAL INFORMATION SYSTEM; MEDICAL RESEARCH; METHODOLOGY; ORGANIZATION; PATIENT CARE; PRODUCTIVITY;

HARNESS;

EID: 33845659079     PISSN: 17088267     EISSN: None     Source Type: Journal    
DOI: 10.2310/6650.2006.06014     Document Type: Article

References (86)

1. Sung NS, Crowley WF Jr, Genel M, et al. Central challenges facing the national clinical research enterprise. JAMA 2003;289:1278-87.
2. Crowley WF Jr, Sherwood L, Salber P, et al. Clinical research in the United States at a crossroads: proposal for a novel public-private partnership to establish a national clinical research enterprise. JAMA 2004;291:1120-6.
3. Bell J. Working Group of Academy of Medical Sciences. Resuscitating clinical research in the United Kingdom. BMJ 2003;327:1041-3.
4. Payne PR, Johnson SB, Starren JB, et al. Breaking the translational barriers: the value of integrating biomedical informatics and translational research. J Invest Med 2005;53:192-200.
5. Zerhouni E. Medicine: The NIH Roadmap. Science 2003;302:63-72.
6. PriceWaterhouseCooper Whitepaper. Reactive to adaptive - transforming hospitals with digital technology. March 2005. Available at: http://www.pwc.com/healthcare (accessed June 25, 2005).
7. Rogoski RR. Small but mighty. A rural Pennsylvania hospital becomes the epitome of efficiency with IT. Health Manag Technol 2004;25:12-4.
8. Park WS, Kim JS, Chae YM, et al. Does the physician order-entry system increase the revenue of a general hospital? Int J Med Inform 2003;71:25-32.
9. Hersh W. Health care information technology: progress and barriers. JAMA 2004;292:2273-4.
10. Goldsmith J. Investing in clinical IT. Healthc Financ Manage 2004;58:66-9.
11. Hersh WR. Medical informatics: improving health care through information. JAMA 2002;288:1955-8.
12. Lang L. HIPAA challenges to clinical research. Gastroenterology 2003;125:1298.
13. Ingelfinger JR, Drazen JM. Registry research and medical privacy. N Engl J Med 2004;350:1452-3.
14. Kulynch J, Korn D. The new HIPAA medical privacy rule: help or hindrance for clinical research? Circulation 2003;108:912-4.
15. Kling R, Crawford H, Rosenbaum H, et al. Learning from social informatics: information and communication technologies in human contexts [Microsoft Word document]. Available at: http://rkcsi.indiana.edu/archive/SI/ Arts/SI_report_Aug_14.doc (accessed August 18, 2006).
16. Demeester M, Beuscart R. The future is no longer what it used to be. Managing health telematics projects. Comput Methods Programs Biomed 1997;54:7-18.
17. Uehling M. Getz on clinical trial adoption. Diaries, Bio-IT World, 12 Jan 2005, v4, n1.
18. Safran C, Detmer DE. Computerized physician order entry systems and medication errors. JAMA 2005;294:179.
19. Nemeth C, O'Connor M, Cook R, et al. Grafting information technology solutions, not experiments, for the emergency department. Acad Emerg Med 2004;11:1114-7.
20. Lorenzi NM, Riley RT, Blyth AJ, et al. Antecedents of the people and organizational aspects of medical informatics: review of the literature. J Am Med Inform Assoc 1997;4:79-93.
21. Wears RL, Berg M. Computer technology and clinical work: still waiting for Godot. JAMA 2005;293:1261-3.
22. Nathan D, Benz EJ. Comprehensive cancer centres and the war on cancer. Nat Rev Cancer 2001;1:240-5.
23. Grove AS. Efficiency in the health care industries: a view from the outside. JAMA 2005;294:490-2.
24. Lost in clinical translation. Nat Med 2004;10:879.
25. Meilaender G. On William F. May. Corrected vision for medical ethics. Second Opinion 1989;10:104-24.
26. Getz K, McDonald D, Heck D. Finding subjects on the Internet. Applied Clinical Trials Supplement June 2000.
27. The many reasons why people do (and would) participate in clinical trials. Harris Interactive, 16 June 2003, v3, n10.
28. Chang BH, Hendricks AM, Slawsky MT, Locastro JS. Patient recruitment to a randomized clinical trial of behavioral therapy for chronic heart failure. BMC Med Res Method 2004;4:8.
29. New survey shows public perception of opportunities for participation in clinical trials has decreased slightly from last year. Harris Interactive, 27 June 2005, v5, n6.
30. NIH clinical trials: various factors affect patient participation, HEHS-99-182, US General Accounting Office, 30 Oct 1999, 38 pages.
31. Nicklin S, Spencer SA. Recruitment failure in neonatal research. Arch Dis Child Fetal Neonatal Ed 2004;89:F281.
32. Cyranoski D. Chinese clinical trials: consenting adults? Not necessarily.... Nature 2005;435:138-9.
33. Kelch RP. Maintaining the public trust in clinical research. N Engl J Med 2002;346:285-7.
34. Embi PJ, Jain A, Clark J, et al. Effect of a clinical trial alert system on physician participation in trial recruitment. Arch Intern Med 2005;165:2272-7.
35. Brotherton JM, Clarke SJ, Quine S. Use of the Internet by oncology patients: its effect on the doctor-patient relationship. Med J Aust 2002;177:395.
36. Slack WV. A 67-year-old man who e-mails his physician [published erratum appears in JAMA 2005;293:425]. JAMA 2004;292:2255-61.
37. Kennedy TD. Fallout from the knowledge explosion: the physician as teacher in the Internet age. Second Opinion 2001;6:23-36.
38. Snyderman R. The clinical researcher-an "emerging" species. JAMA 2004;291:882-3.
39. Nathan DG. Careers in translational clinical research-historical perspectives, future challenges. JAMA 2002;287:2424-7.
40. Miller ED. Clinical investigators-the endangered species revisited. JAMA 2001;286:845-6.
41. Weissman JS, Saglam D, Campbell EG, et al. Market forces and unsponsored research in academic health centers. JAMA 1999;281:1093-8.
42. Campbell EG, Weissman JS, Moy E, Blumenthal D. Status of clinical research in academic health centers: views from the research leadership. JAMA 2001;286:800-6.
43. Detmer DE. Building the national health information infrastructure for personal health, health care services, public health, and research. BMC Med Inform Decis Making 2003;3:1.
44. Singh K, Mishra SK, Misra R, et al. Satcom based distance education in medicine-evaluation of Orissa Telemedicine Network. In: Proceedings of 6th IEEE Healthcom 2004 (6th International Workshop on Enterprise Networking and Computing in Healthcare Industry), Odawara, Japan. Available at: http://www.sgpgitelemedicine.in/sgpgitelemed/abstract/ks.pdf (accessed June 25, 2005).
45. Burg G, Hasse U, Cipolat C, et al. Teledermatology: just cool or a real tool? Dermatology 2005;210:169-73.
46. Taniguchi E, Ohashi S. Construction of a regional telementoring network for endoscopic surgery in Japan. IEEE Trans Inform Technol Biomed 2000;4:195-9.
47. Malassagne B, Mutter D, Leroy J, et al. Teleeducation in surgery: European Institute for Telesurgery experience. World J Surg 2001;25:1490-4.
48. Chumley-Jones HS, Dobbie A, Alford CL. Web-based learning: sound educational method or hype? A review of the evaluation literature. Acad Med 2002;77(10 Suppl):S86-93.
49. Ramón y Cajal S. Advice for the young investigator. Cambridge (MA): The MIT Press; 1999.
50. Kennedy D, Norman C. What don't we know? Science 2005;309:75.
51. Levin A. Evidence-based medicine gaining supporters. Ann Intern Med 1998;128:334-6.
52. Tunis SR, Stryer DB, Clancy CM. Practical clinical trials: increasing the value of clinical research for decision making in clinical and health policy. JAMA 2003;290:1624-32.
53. Armstrong PW, Kaul P, VIGOUR Group. Charting the course of clinical research: from an inspired past to a promising future. Am Heart J 2004;148:190-2.
54. Forster A, Young J, Stroke United Network Yorkshire. Research networks for stroke rehabilitation: opportunities and barriers. Clin Med 2005;5:42-6.
55. Morse MA, Califf RM, Sugarman J. Monitoring and ensuring safety during clinical research. JAMA 2001;285:1201-5.
56. Fry A, Mortimer K, Ramsay L. Clinical research and the culture of collaboration. Aust J Adv Nurs 1994;11:18-25.
57. Keinonen T, Keranen T, Klaukka T, et al. Investigator barriers and preferences to conduct clinical drug trials in Finland: a qualitative study. Pharm World Sci 2003;25:251-9.
58. Clumeck N, Katlama C. Call for network of centres of excellence in clinical research in Europe. Lancet 2004;363:901-2.
59. Bassand JP, Martin J, Rydén L, Simoons M. The need for resources for clinical research: the European Society for Cardiology Calls for European, International Collaboration. Lancet 2002;360:1866-9.
60. Safreed-Harmon K, Cooper DA, Lange JM, et al. The HIV Netherlands Australia Thailand research collaboration: lessons from 7 years of clinical research. AIDS 2004;18:1971-8.
61. Infrastructure needed for cancer research: NCI's challenges. National Cancer Institute: the nation's investment in cancer research for fiscal year 2001. Available at: http://2001.cancer. gov/strength.htm (accessed June 25, 2005).
62. Laliberte L, Fennell ML, Papandonatos G. The relationship of membership in research networks to compliance with treatment guidelines for early-stage breast cancer. Med Care 2005;43:471-9.
63. Mayor S. Cooperation needed to optimise cancer drug development. Lancet 2004;363:46-52.
64. Watkins P. Chasing ideas: clinical research in the NHS. Clin Med 2005;5:5-6.
65. Anderson JG. Evaluation in health informatics: social network analysis. Comput Biol Med 2002;32:179-93.
66. Siviter D, Petre M, Klein B. Harnessing technology for effective inter- and intra-institutional collaboration. ACM SIGCUE Outlook 1997;25:70-93.
67. Ludvigsson JF. Recruiters and academia. Hard times for Swedish physician-researchers. Nature 2005;434:542.
68. Weinstein JN, Deyo RA. Clinical research: issues in data collection. Spine 2000;25:3104-9.
69. Caloto T, Multicentre Project for Tuberculosis Research Study Group. Quality control and data-handling in multicentre studies: the case of the Multicentre Project for Tuberculosis Research. BMC Med Res Method 2001;1:14.
70. Croft GP, Williams JG. The RCP Information Laboratory (iLab): breaking the cycle of poor data quality. Clin Med 2005;5:47-9.
71. Uehling MH. Data rapture? Bio-lT World, May 2003, v2, n5, p. 61-4.
72. Listing of Clinical Trial Software Providers. Available at: http://www.bio-itworld.com/archive/081302/tortured_ sidebar_923.html (accessed Sept 16, 2005).
73. Starky N. Software can help manage clinical trials. Medical Device and Diagnostic Industry, April 1997, p. 60-5.
74. U.S. Clinical Trial Management Systems 2004 vendor analysis: leadership grid and market shares. Report from International Data Corporation. Available at: www.oracle.com/industries/life_sciences/IDC_CTMS.pdf (accessed Sept 16, 2005).
75. Missinou MA, Olola CH, Issifou S, et al. Short report: piloting paperless data entry for clinical research in Africa. Am J Trop Med Hyg 2005;72:301-3.
76. Middleton RJ, Gavin AT, Reid JS, O'Reilly D. Accuracy of hospital discharge data for cancer registration and epidemiological research in Northern Ireland. Cancer Causes Control 2000;11:899-905.
77. VanDenKerkhof EG, Goldstein DH, Lane J, et al. Using a personal digital assistant enhances gathering of patient data on an acute pain management service: a pilot study. Can J Anaesth 2003;50:368-75.
78. Nyholm D, Kowalski J, Aquilonius SM. Wireless real-time electronic data capture for self-assessment of motor function and quality of life in Parkinson's disease. Mov Disord 2004;19:446-51.
79. Bushnell DM, Martin ML, Parasuraman B. Electronic versus paper questionnaires: a further comparison in persons with asthma. J Asthma 2003;40:751-62.
80. Weiler K, Christ AM, Woodworth GG, et al. Quality of patient-reported outcome data captured using paper and interactive voice response diaries in an allergic rhinitis study: is electronic data capture really better? Ann Allergy Asthma Immunol 2004;92:335-9.
81. Bellamy N. Science of assessment. Ann Rheum Dis 2005;64 Suppl 2:ii, 42-5.
82. Uehling M. Patients without borders. Bio-IT World, 19 May 2004, v3, n5.
83. Warzel DB, Andonaydis C, McCurry B, et al. Common data element (CDE) management and deployment in clinical trials. AMIA Annu Symp Proc 2003;1048.
84. Schmid CH, Landa M, Jafar TH, et al. Angiotensin-Converting Enzyme Inhibition in Progressive Renal Disease (AIPRD) Study Group. Constructing a database of individual clinical trials for longitudinal analysis. Control Clin Trials 2003;24:324-40.
85. Wang X, Hamilton HJ, Bither Y. An ontology-based approach to data cleaning. Regina (SK): University of Regina, 2005. Technical Report No.: CS-2005-05.
86. Raman V, Hellerstein JM. Potter's wheel: an interactive data cleaning system. In: Proceedings of the 27th International Conference on Very Large Data Bases; 2001 Sept 11-14; Rome, Italy.