Informatics Methods to Enable Patient-centered Radiology

Academic Radiology

Volumn 16, Issue 5, 2009, Pages 524-534

  Rubin, Daniel L ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

decision support; Informatics; knowledge representation; patient centered radiology

Indexed keywords

CHRONIC DISEASE; COMPUTER ASSISTED RADIOGRAPHY; COMPUTER ASSISTED TOMOGRAPHY; DECISION SUPPORT SYSTEM; DIAGNOSTIC IMAGING; ECHOGRAPHY; HEADACHE; HEALTH CARE; HUMAN; INFORMATION TECHNOLOGY; MAGNETIC RESONANCE ANGIOGRAPHY; MEDICAL DECISION MAKING; MEDICAL EDUCATION; MEDICAL INFORMATICS; MEDICAL PRACTICE; NUCLEAR MAGNETIC RESONANCE IMAGING; PATIENT CARE; PATIENT REFERRAL; PHYSICIAN; PRACTICE GUIDELINE; PRIORITY JOURNAL; RADIOLOGIST; RADIOLOGY; REVIEW;

MEDICAL INFORMATICS; PATIENT-CENTERED CARE; RADIOLOGY; UNITED STATES;

EID: 63349086307     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2009.01.009     Document Type: Review

References (42)

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