Academic Radiology
Volume 16, Issue 5 , Pages 524-534 , May 2009

Informatics Methods to Enable Patient-centered Radiology

Received 31 October 2008 ,Accepted 7 January 2009.

References 

  1. Thrall JH. Personalized medicine. Radiology. 2004;231:613–616
  2. Ortega D, Garcia C. Communication between radiologists and patients: an unsolved issue. J Am Coll Radiol. 2006;3:472–477
  3. Ruiz JA, Glazer GM. The state of radiology in 2006: very high spatial resolution but no visibility. Radiology. 2006;241:11–16
  4. Kolata G. Sick and scared, and waiting, waiting, waiting. The New York Times. August 20, 2005:A1.
  5. Sistrom CL. In support of the ACR Appropriateness Criteria. J Am Coll Radiol. 2008;5:630–635
  6. Cascade PN. The American College of Radiology. ACR Appropriateness Criteria project. Radiology. 2000;214(suppl):3–46
  7. Jordan JE, Seidenwurm DJ, Davis PC, et al. Expert Panel on Neurologic Imaging. Headache. ACR Appropriateness Criteria. Reston, VA: American College of Radiology; 2006;
  8. Khajouei R, Jaspers MW. CPOE system design aspects and their qualitative effect on usability. Stud Health Technol Inform. 2008;136:309–314
  9. Agency for Healthcare Research and Quality. National Guideline Clearinghouse. Available at: http://www.guideline.gov. Accessed October 24, 2008.
  10. Kawahara NE, Jordan FM. Influencing prescribing behavior by adapting computerized order-entry pathways. Am J Hosp Pharm. 1989;46:1798–1801
  11. Niazkhani Z, van der Sijs H, Pirnejad H, Redekop WK, Aarts J. Same system, different outcomes: comparing the transitions from two paper-based systems to the same computerized physician order entry system. Int J Med Inform. In press.
  12. Rosenthal DI, Weilburg JB, Schultz T, et al. Radiology order entry with decision support: initial clinical experience. J Am Coll Radiol. 2006;3:799–806
  13. Khorasani R. Computerized physician order entry and decision support: improving the quality of care. Radiographics. 2001;21:1015–1018
  14. Doi K. Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Comput Med Imaging Graph. 2007;31:198–211
  15. Siegle RL, Baram EM, Reuter SR, Clarke EA, Lancaster JL, McMahan CA. Rates of disagreement in imaging interpretation in a group of community hospitals. Acad Radiol. 1998;5:148–154
  16. Barlow WE, Chi C, Carney PA, et al. Accuracy of screening mammography interpretation by characteristics of radiologists. J Natl Cancer Inst. 2004;96:1840–1850
  17. McDonald CJ. Medical heuristics: the silent adjudicators of clinical practice. Ann Intern Med. 1996;124:56–62
  18. Burnside E, Rubin D, Shachter R. A Bayesian network for mammography. Proc AMIA Symp. 2000;106–110
  19. Burnside ES, Rubin DL, Fine JP, Shachter RD, Sisney GA, Leung WK. Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience. Radiology. 2006;240:666–673
  20. Burnside ES, Rubin DL, Shachter RD. Using a Bayesian network to predict the probability and type of breast cancer represented by microcalcifications on mammography. Stud Health Technol Inform. 2004;107:13–17
  21. Burnside ES, Rubin DL, Shachter RD, Sohlich RE, Sickles EA. A probabilistic expert system that provides automated mammographic-histologic correlation: initial experience. AJR Am J Roentgenol. 2004;182:481–488
  22. Berlin L. Communicating radiology results. Lancet. 2006;367:373–375
  23. Poon EG, Haas JS, Louise Puopolo A, et al. Communication factors in the follow-up of abnormal mammograms. J Gen Intern Med. 2004;19:316–323
  24. Renfrew DL, Franken EA, Berbaum KS, Weigelt FH, Abu-Yousef MM. Error in radiology: classification and lessons in 182 cases presented at a problem case conference. Radiology. 1992;183:145–150
  25. Braeuning MP, Earp JL, O'Brien SM, et al. Informing patients of diagnostic mammography results: mammographer's opinions. Acad Radiol. 2000;7:335–340
  26. American College of Radiology. ACR practice guideline for communication of diagnostic imaging findings. Practice Guidelines & Technical Standards. Reston, VA: American College of Radiology; 2005;
  27. Berlin L. Communication of radiologic findings: is the landscape changing? Imaging Econ. 2005. Available at: http://www.imagingeconomics.com/library/200509-06.asp. Accessed October 24, 2008.
  28. Sasson JP, Zand T, Lown BA. Communication in the diagnostic mammography suite: implications for practice and training. Acad Radiol. 2008;15:417–424
  29. Lafortune M, Breton G, Baudouin JL. The radiological report: what is useful for the referring physician?. Can Assoc Radiol J. 1988;39:140–143
  30. Khorasani R, Bates DW, Teeger S, Rothschild JM, Adams DF, Seltzer SE. Is terminology used effectively to convey diagnostic certainty in radiology reports?. Acad Radiol. 2003;10:685–688
  31. Sistrom CL, Langlotz CP. A framework for improving radiology reporting. J Am Coll Radiol. 2005;2:159–167
  32. Liu D, Zucherman M, Tulloss WB. Six characteristics of effective structured reporting and the inevitable integration with speech recognition. J Digit Imaging. 2006;19:98–104
  33. Sobel JL, Pearson ML, Gross K, et al. Information content and clarity of radiologists' reports for chest radiography. Acad Radiol. 1996;3:709–717
  34. Stearns MQ, Price C, Spackman KA, Wang AY. SNOMED clinical terms: overview of the development process and project status. Proc AMIA Symp. 2001;662–666
  35. Langlotz CP. RadLex: a new method for indexing online educational materials. Radiographics. 2006;26:1595–1597
  36. Rubin DL, Noy NF, Musen MA. Protege: a tool for managing and using terminology in radiology applications. J Digit Imaging. 2007;20(suppl):34–46
  37. Halsted MJ, Froehle CM. Design, implementation, and assessment of a radiology workflow management system. AJR Am J Roentgenol. 2008;191:321–327
  38. Johnson AJ, Hawkins H, Applegate KE. Web-based results distribution: new channels of communication from radiologists to patients. J Am Coll Radiol. 2005;2:168–173
  39. Juluru K, Eng J. Internet-based radiology order-entry, reporting, and workflow management system for coordinating urgent study requests during off-hours. AJR Am J Roentgenol. 2005;184:1017–1020
  40. Stoltz C. Microsoft Health vs. Google Health. The Washington Post. March 11, 2008. Available at: http://www.washingtonpost.com/wp-dyn/content/article/2008/03/10/AR2008031001532.html. Accessed October 24, 2008.
  41. Mendelson DS, Bak PR, Menschik E, Siegel E. Informatics in radiology: image exchange: IHE and the evolution of image sharing. Radiographics. 2008;28:1817–1833
  42. Chan EC. Promoting an ethical approach to unproven screening imaging tests. J Am Coll Radiol. 2005;2:311–320

PII: S1076-6332(09)00037-3

doi: 10.1016/j.acra.2009.01.009

Academic Radiology
Volume 16, Issue 5 , Pages 524-534 , May 2009

Article Tools

* Image Usage & Resolution