TODENTJ-25-03-2019_TODENTJ-4-133 1553505178 Bentham Open doi@benthamopen.net Bentham Open The Open Dentistry Journal TODENTJ 1874-2106 7 16 2010 4 1 Janet G Bauer Francesco Chiappelli Currently, best evidence is a concentrated effort by researchers. Researchers produce information and expect that clinicians will implement their advances in improving patient care. However, difficulties exist in maximizing cooperation and coordination between the producers, facilitators, and users (patients) of best evidence outcomes. The Translational Evidence Mechanism is introduced to overcome these difficulties by forming a compact between researcher, clinician and patient. With this compact, best evidence may become an integral part of private practice when uncertainties arise in patient health status, treatments, and therapies. The mechanism is composed of an organization, central database, and decision algorithm. Communication between the translational evidence organization, clinicians and patients is through the electronic chart. Through the chart, clinical inquiries are made, patient data from provider assessments and practice cost schedules are collected and encrypted (HIPAA standards), then inputted into the central database. Outputs are made within a timeframe suitable to private practice and patient flow. The output consists of a clinical practice guideline that responds to the clinical inquiry with decision, utility and cost data (based on the “average patient”) for shared decision-making within informed consent. This shared decision-making allows for patients to “game” treatment scenarios using personal choice inputs. Accompanying the clinical practice guideline is a decision analysis that explains the optimized clinical decision. The resultant clinical decision is returned to the central database using the clinical practice guideline. The result is subsequently used to update current best evidence, indicate the need for new evidence, and analyze the changes made in best evidence implementation. When updates in knowledge occur, these are transmitted to the provider as alerts or flags through patient charts and other communication modalities. 7 16 2010 133 139 TODENTJ-4-133 1 10.2174/crossmark_policy opendentistryjournal.com benthamopen.com true Peer Reviewed Single blind Checked with iThenticate 2009-9-16 2009-10-5 2009-10-5 2010-7-16 http://creativecommons.org/licenses/by-nc/3.0/ 10.2174/1874210601004010133 1553505178 https://opendentistryjournal.com/VOLUME/4/PAGE/133/ https://opendentistryjournal.com/contents/volumes/V4/TODENTJ-4-133/TODENTJ-4-133.pdf https://opendentistryjournal.com/contents/volumes/V4/TODENTJ-4-133/TODENTJ-4-133.pdf https://opendentistryjournal.com/contents/volumes/V4/TODENTJ-4-133/TODENTJ-4-133.pdf https://opendentistryjournal.com/contents/volumes/V4/TODENTJ-4-133/TODENTJ-4-133.pdf https://opendentistryjournal.com/contents/volumes/V4/TODENTJ-4-133/TODENTJ-4-133.pdf https://opendentistryjournal.com/contents/volumes/V4/TODENTJ-4-133/TODENTJ-4-133.pdf https://opendentistryjournal.com/contents/volumes/V4/TODENTJ-4-133/TODENTJ-4-133.pdf https://opendentistryjournal.com/contents/volumes/V4/TODENTJ-4-133/TODENTJ-4-133.xml Process of evidence-based dental decision-making, US patent application No 60/757,647, For: methods of producing evidence-based decision, Filed 2006, UC Case No: 2006-296, File No (Townsend and Townsend and Crew): 02307K-16300US J Am Med Inform Assoc Bakken S 8 289 2001 Bakken S, McArthur J. Evidence-based nursing practice: a call to action for nursing informatics J Am Med Inform Assoc 2001; 8 : 289-90. Integrated healthcare association. Pay for performance (P4P) 2008 Results Report. August 2009. http://www.iha.org/p4pyr6/02%20-%20P4P%202008%20Results_Report.pdf [Accessed August 29,2009]; Bauer JG, Spackman S. Clinical decision making tree for older dental patients In: Chiappelli F, Ed. A manual of evidence-based research for health sciences: Relevance to dentistry. New York: Nova Publishers 2007. Chapter 13