The Journal of Contemporary Dental Practice

Register      Login



Volume / Issue

Online First

Related articles

VOLUME 3 , ISSUE 1 ( February, 2002 ) > List of Articles


Capabilities of Computerized Clinical Decision Support Systems: The Implications for the Practicing Dental Professional

Hikmet Umar

Citation Information : Umar H. Capabilities of Computerized Clinical Decision Support Systems: The Implications for the Practicing Dental Professional. J Contemp Dent Pract 2002; 3 (1):43-54.

DOI: 10.5005/jcdp-3-1-43

License: CC BY-NC 3.0

Published Online: 01-05-2005

Copyright Statement:  Copyright © 2002; The Author(s).



Umar H. Capabilities of Computerized Clinical Decision Support Systems: The Implications for the Practicing Dental Professional. J Contemp Dent Pract 2002 Feb;(3)1: 027-042.

PDF Share
  1. Dental informatics. A cornerstone of dental practice. J Am Dent Assoc. 2001May;132(5):605-13. Review.
  2. A Markov Process in Clinical Dentistry: the Prosthodontic Cycle. In: Lemke HU, Vannier MV, Inamura K, Farman AG, Doi K, editors. Computer Assisted Radiology and Surgery: Proceedings of the 15th International Congress and Exhibition CARS 2001. Amsterdam, The Netherlands: Elsevier Science B.V., 2001:679-684.
  3. A Bayesian Approach to a Dental Clinical Advisory System with EER Prosthodontic Knowledge Representation. In: Lemke HU, Vannier MV, Inamura K, Farman AG, Doi K, editors. Computer Assisted Radiology and Surgery: Proceedings of the 14th International Congress and Exhibition CARS 2000. Amsterdam, The Netherlands: Elsevier Science B.V., 2000:835-840.
  4. Markov models in medical decision making: a practical guide. Med Decis Making. 1993 Oct-Dec;13(4):322-38.
  5. Markov cycle tress: a new representation for complex Markov processes. Med Decis Making 1984;4:529.
  6. Probabilistic Networks and Expert Systems. New York, NY: Springer Verlag Inc., 1999.
  7. al. Probabilistic diagnosis using a reformulation of the INTERNIST-1/QMR knowledge base. I. The probabilistic model and inference algorithms. Methods Inf Med. 1991 Oct;30(4):241-55.
  8. Toward normative expert systems: Part I. The Pathfinder project. Methods Inf Med. 1992 Jun;31(2):90-105.
  9. Causal inference from indirect experiments. Artif Intell Med. 1995 Dec;7(6):561-82.
  10. Computer-aided differential diagnosis of oral radiographic lesions. Dentomaxillofac Radiol. 1989 May;18(2):53-9.
  11. Health gain from restorative dental treatment evaluated by computer simulation. Community Dent Health. 1998 Mar;15(1):32-9.
  12. Continuous speech recognition for clinicians. J Am Med Inform Assoc. 1999 May-Jun;6(3):195-204.
  13. al., Physicians in virtual environments multimodal humancomputer interaction. Interacting with Computers 1999;11(4):427-452.
  14. al., Continuous speech recognition in MR imaging reporting: advantages, disadvantages, and impact. AJR Am J Roentgenol. 2000 Mar;174(3):617-22.
  15. An Overview of audio information retrieval. Multimedia Systems 1999;7:2-10.
  16. al. The Computer Based Oral Health Record. American Fund for Dental Health, 1993.
  17. The computer-based oral health record: an essential tool for cross-provider quality management. J Calif Dent Assoc. 1994 Nov;22(11):57-8, 60-1, 63-4.
  18. Computer-based oral health record: Concept model. Benchmark model 1.0 ed. Chicago, IL: American Dental Association, 1996.
  19. Can low accuracy disease risk predictor models improve health care using decision support systems? In: Chute CG, (ed.). American Medical Informatics Association, AMIA '98 Annual Symposium. Philadelphia: Hanley & Belfus, 1998:577-581.
  20. al. Practical approach to evidence-based management of caries. J Am Coll Dent. 1999 Spring;66(1):27-35.
  21. al. A tooth chart for severity and activity of caries lesions [IADR abstract]. J Dent Res 1999;78:1762.
  22. Initial experience of the ORATEL computerised information tools in general practice. Br Dent J. 1996 Oct 19;181(8):289-95.
  23. Concurrent formative evaluation: Implications for multimedia designers. Educational Technology 1996; 35(6):24-36.
  24. Patterns of exploration and learning with hypermedia. Journal of Educational Computing Research 1995;13(4):313-335.
  25. Media comparison and deployment: A practitioner's view. British Journal of Educational Technology 1994;25(1):41-57.
  26. Effects of knowledge representation format and hypermedia instruction on metacognitive accuracy. Computers in Human Behavior 1995;11(3-4):533-555.
  27. Paradigm shifts in designed instruction: From behaviorism to cognitivism to constructivism. Educational Technology 1993;23(5):12-19.
  28. Development of standards for the design of educational software. Standards Committee for Dental Informatics. Quintessence Int. 1999 Nov;30(11):763-8.
  29. Instructional characteristics of online continuing education courses. Quintessence Int. 1999 Nov;30(11):755-62.
  30. Improving detection of precancerous and cancerous oral lesions. Computer-assisted analysis of the oral brush biopsy. U.S. Collaborative OralCDx Study Group. J Am Dent Assoc. 1999 Oct;130(10):1445-57.
  31. Computer-automated caries detection in digital bitewings: consistency of a program and its influence on observer agreement. Caries Res. 2001 Jan-Feb;35(1):12-20.
  32. Pixel perception and voxel vision: constructs for a new paradigm in maxillofacial imaging. Dentomaxillofac Radiol. 1994 Feb;23(1):5-9. Review.
  33. Increasing spatial resolution through temporal super-sampling of digital video. Optical Engineering 1999;38(5):801-805.
  34. al. Information seeking and interactive videodisc preparation for third molar extraction. J Oral Maxillofac Surg. 1992 Jan;50(1):27-31; discussion 31-2.
  35. Interactive multimedia dental education: the next five years and beyond. Medinfo. 1995;8 Pt 2:1305-7.
  36. al. Video-based teleradiology for intraosseous lesions. A receiver operating characteristic analysis. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1995 Nov;80(5):599-603.
  37. al. The role of computerized video imaging in predicting adult extraction treatment outcomes. Angle Orthod. 1998 Oct;68(5):391-9.
  38. al. Implementation of an oral and maxillofacial radiology image management and communication system. Dentomaxillofac Radiol. 1998 Nov;27(6):358-62.
  39. Imaging techniques and image interpretation for dental implant treatment. Int J Prosthodont. 1998 Sep-Oct;11(5):442-52. Review.
  40. al. Computed dental radiography: evaluation of a new charge-coupled device-based intraoral radiographic system. Quintessence Int. 1995 Jun;26(6):399-404.
  41. al. An evaluation of periapical radiography with a charge-coupled device. Dentomaxillofac Radiol. 1998 Mar;27(2):97-101.
  42. al. Radiation exposures with the RVG-S and conventional intraoral radiographic films. Oral Radiol (Japan) 1994;10(33):40.
  43. al. Image quality of direct digital intraoral x-ray sensors in assessing root canal length. The Radio Visio Graphy, Visualix/VIXA, Sens-A-Ray, and Flash Dent systems compared with Ektaspeed films. Oral Surg Oral Med Oral Pathol. 1994 Jul;78(1):125-32.
  44. [RVG-ui: a sensor to rival direct-exposure intra-oral x-ray film.] Int J Comput Dent. 1999 Jul;2(3):183-96.
  45. Extraoral and panoramic systems. Dent Clin North Am. 2000 Apr;44(2):257-72, v-vi. Review.
  46. Model surgery prediction for mandibular midline distraction osteogenesis. Int J Oral Maxillofac Surg. 1999 Dec;28(6):421-3.
  47. al. Treatment planning for sinus lift augmentations through use of 3-dimensional milled models derived from computed tomography scans: a report of 3 cases. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1998 Oct;86(4):388-92.
  48. al. Osteometry of the mandible performed using dental MR imaging. AJNR Am J Neuroradiol. 1999 Aug;20(7):1221-7.
  49. al. Localization of the mandibular neurovascular bundle using dental magnetic resonance imaging. Dentomaxillofac Radiol. 1998 Sep;27(5):305-7.
  50. al. A study of condylar movement by bilateral simultaneous videofluorography. Dentomaxillofac Radiol. 1998 Sep;27(5):279-86.
  51. al. 2-D and 3-D reconstructions of spiral computed tomography in localization of the inferior alveolar canal for dental implants. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1999 Mar;87(3):369-74.
  52. Quantitative analysis of spiral computed tomography for craniofacial clinical applications. Dentomaxillofac Radiol. 1998 Nov;27(6):344-50.
  53. A study on three-dimensional image processing method for 3DX multi image micro CT. In: Lemke HU, Vannier MV, Inamura K, Farman AG, Doi K, editors. Computer Assisted Radiology and Surgery: Proceedings of the 15th International Congress and Exhibition CARS 2001. Amsterdam, The Netherlands: Elsevier Science B.V., 2001;665-670.
  54. al. Tuned-aperture computed tomography (TACT). Theory and application for three-dimensional dento-alveolar imaging. Dentomaxillofac Radiol. 1997 Jan;26(1):53-62.
  55. al. TACT imaging of primary caries. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1997 Aug;84(2):214-25.
  56. al. Diagnosis of external root resorption using TACT (tunedaperture computed tomography). Endod Dent Traumatol. 2000 Feb;16(1):24-8.
  57. al. Effect of number of projections on accuracy of depth discrimination using tuned-aperture computed tomography for 3-dimensional dentoalveolar imaging of low-contrast details. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1999 Jul;88(1):100-5.
  58. al. Detection of peri-implant bone changes with axial tomosynthesis. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1996 Jan;81(1):124-9.
  59. Computer-aided image manipulation of intraoral radiographs to enhance diagnosis in dental practice: a review. Int Dent J. 1993 Apr;43(2):99-108. Review.
  60. Potential for fraudulent use of digital radiography. J Am Dent Assoc. 1999 Sep;130(9):1325-9.
  61. al. Teledentistry: protocols for the transmission of digitized radiographs of the temporomandibular joint. J Telemed Telecare. 1996;2(4):217-23.
  62. al. Distributing digital imaging and communications in medicine data and optimizing access over satellite networks. J Digit Imaging. 1999 May;12(2 Suppl 1):195-6.
  63. The virtual articulator—concept and development of VR-tools to analyse the dysfunction of dental occlusion. In:Lemke HU, Vannier MV, Inamura K, Farman AG, Doi K, editors. Computer Assisted Radiology and Surgery: Proceedings of the 15th International Congress and Exhibition CARS 2001. Amsterdam, The Netherlands: Elsevier Science B.V., 2001;649-653.
  64. The effects of age, jaw site, and bone condition on oral implant outcomes. Int J Prosthodont. 1998 Sep-Oct;11(5):470-90. Review.
  65. Successful long-term treatment outcomes in the field of osseointegrated implants: prosthodontic determinants. Int J Prosthodont. 1998 Sep-Oct;11(5):502-12. Review.
  66. Predicting clinical states in individual patients. Ann Intern Med. 1996 Sep 1;125(5):406-12. Review.
  67. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J Clin Epidemiol. 1996 Nov;49(11):1225-31. Review.
  68. On identifiability in models for incomplete binary data. Statistics & Probability Letters 1999;41:191-197.
  69. Learning the structure of dynamic probabilistic networks. Proceedings of the Conference on Uncertainty in Artificial Intelligence. 1998, 139-147.
  70. Discovering Bayesian networks in incomplete databases. Technical Report KMi-TR-46. Milton Keynes, United Kingdom MK7 6AA, Knowledge Media Institute, The Open University, 1997, 1-5.
  71. Judgements under uncertainty: Heuristics and biases. Science 1974;185:1124-1131.
  72. Comparing natural and abstract categories: A case study from computer science. Cognitive Science 1985;9:417-430.
  73. Cardiac ischemia decision-support tools. J Fam Pract. 1988 Dec;27(6):576-7. No abstract available.
  74. Statistical and knowledge-based approaches to clinical decision- support systems, with an application in gastroenterology. J R Statist Soc 1984;147(1):35-77.
  75. Thinking backward for knowledge acquisition. AI Magazine 1987; Fall issue:55-61.
  76. Uncertainty: A guide to dealing with uncertainty in quantitative risk and policy analysis. reprint ed. Cambridge: Cambridge University Press, 1992.
  77. The disjunction effect in choice under uncertainty. Psychological Science 1992;3:305-309.
  78. Decision Support Systems. In: Kent A, editor. Encyclodpedia of Library and Information Science, in press. Marcel Dekker, Inc., 2000.
  79. Making complex decisions. In: Russel SJ, Norvig P, editors. Artificial Intelligence: A modern approach. Upper Saddle River, NJ: Prentice Hall, 1995:498-522.
  80. Bayesian networks without tears. AI Magazine 1991;12:50-63.
  81. al. Bayesian Analysis in Expert Systems. Statistical Science 1993;8(3):219-283.
  82. Artificial neural networks can distinguish novice and expert strategies during complex problem solving. J Am Med Inform Assoc. 1996 Mar-Apr;3(2):131-8.
  83. al. Monitoring expert system performance using continuous user feedback. J Am Med Inform Assoc. 1996 May-Jun;3(3):216-23.
  84. Expert Systems: A view of the Field. IEEE expert intelligent systems 1996;11(2):56-63.
  85. Decision analysis and expert systems. AI Magazine 1991 12:64-91.
  86. al. Testing and VAlidation of Computerized Decision Support Systems. American Medical Informatics Association Annual Fall Symposium 1996;234-238.
  87. al. Effects of a decision support system on the diagnostic accuracy of users: a preliminary report. J Am Med Inform Assoc. 1996 Nov-Dec;3(6):422-8.
  88. Computerized decision support based on a clinical practice guideline improves compliance with care standards. Am J Med. 1997 Jan;102(1):89-98.
  89. An industrial process view of information delivery to support clinical decision making: implications for systems design and process measures. J Am Med Inform Assoc. 1997 Jul-Aug;4(4):266-78. Review.
  90. al. Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. JAMA. 1998 Oct 21;280(15):1339-46.
  91. al. Design of an oral health information system based upon a computer based dental record. Jerusalem, Israel: Freund, 1993.
  92. Decision-support systems in dentistry. J Dent Educ. 1996 Jan;60(1):47-63. Review.
  93. Computer expert system for the histopathologic diagnosis of salivary gland neoplasms. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1996 Aug;82(2):179-86.
  94. Application of a case-based expert system to orthodontic diagnosis and treatment planning: a review of the literature. Aust Orthod J. 1996 Oct;14(3):150-3. Review.
  95. Comparisons of the abilities of a neural network and three consultant oral surgeons to make decisions about third molar removal. Br Dent J. 1997 Jan 25;182(2):59-63.
  96. Animating Medical and Safety Knowledge. In: Horn W, Shahar Y, Lindberg G, Andreassen S, Wyatt J, (eds.). Artificial Intelligence in Medicine. Proceedings AIMDM '99. Berlin-Heidelberg, Germany: Springer-Verlag, 1999 443-447.
  97. A review of the developments in dental CAD/CAM systems. Curr Opin Dent. 1992 Jun;2:25-33. Review.
  98. Computer-assisted milling of dental restorations using a new CAD/CAM data acquisition system. J Prosthet Dent. 1998 Sep;80(3):346-53.
  99. al. Validation of computer-assisted manufacture of titanium plates for cranioplasty. Int J Oral Maxillofac Surg. 1999 Aug;28(4):309-13.
  100. Automatic, accurate surface model inference for dental CAD/CAM. Medical Image Computing and Computer-Assisted Intervention-MICCAI'98 1998 1496:732-742.
  101. A New CAD/CAM Esthetic Crown System. Compendium 19[6], 560-566. 1998.
  102. Grinding precision and accuracy of fit of CEREC 2 CAD-CIM inlays. J Am Dent Assoc. 1997 Jan;128(1):47-53.
  103. Parallel robots for 3D digitizing and motion-controlling in clinical dentistry. J Dent Res. 1998 77(Sp. Iss. B):1609.
  104. Neural Interfaces Link the Mind and the Machine. Computer 1999 32(1):16-18.
  105. al. Oral implant treatment planning in a virtual reality environment. Comput Methods Programs Biomed. 1998 Aug-Sep;57(1-2):95-103.
  106. al. The role of the Internet in medical decision making. Int J Med Inf. 1997 Nov;47(1-2):43-9.
  107. Clinical decision-making and the Internet. J Am Coll Dent. 1999 Summer;66(2):29-39. Review.
  108. al. A development environment for knowledge-based medical applications on the World-Wide Web. Artif Intell Med. 1998 Nov;14(3):279-93.
  109. Dental resources on the World Wide Web. MD Comput. 1998 Jul-Aug;15(4):252-5, 265. No abstract available.
  110. Computer-based oral health records on the World Wide Web. Quintessence Int. 1999 Jul;30(7):451-60. Review.
  111. A vision of health care and informatics in 2008. J Am Med Inform Assoc. 1999 Jan-Feb;6(1):1-5.
  112. Computers in the Dental Treatment Room. DDRT [2nd edition], 17-19. 1994.
  113. DecisionNET: database/network support for clinical decision analysts. Ann N Y Acad Sci. 1992 Dec 17;670:127-32
  114. al. Benefits of an object-oriented database representation for controlled medical terminologies. J Am Med Inform Assoc. 1999 Jul-Aug;6(4):283-303.
  115. al. Representing thoughts, words, and things in the UMLS. J Am Med Inform Assoc. 1998 Sep-Oct;5(5):421-31.
  116. Managing information with SNOMED: understanding the model. Proc AMIA Annu Fall Symp. 1996;:80-3.
  117. Finding the findings: identification of findings in medical literature using restricted natural language processing. Proc AMIA Annu Fall Symp. 1996;:239-43.
  118. The barriers to electronic medical record systems and how to overcome them. J Am Med Inform Assoc. 1997 May-Jun;4(3):213-21. Review.
  119. Using SNOMED in Relational and Object-Oriented Database Design. Tutorial T25. 1997. Nashville, TN, American Medical Informatics Association, Annual Fall Symposium. 26-10-1997
  120. SNODENT to provide inclusive means of transmitting dental information. ADA News 30[9], Cover, 9. 1999. 3-5.
  121. al. Design and implementation of an image management and communications system (IMACS) for dentomaxillofacial radiology. Dentomaxillofac Radiol. 1992 Nov;21(4):216-21.
  122. al. Implementation of an oral and maxillofacial radiology image management and communication system. Dentomaxillofac Radiol. 1998 Nov;27(6):358-62.
  123. al. EON: a component-based approach to automation of protocoldirected therapy. J Am Med Inform Assoc. 1996 Nov-Dec;3(6):367-88.
PDF Share
PDF Share

© Jaypee Brothers Medical Publishers (P) LTD.