The DentaQuest Institute is a not-for-profit organization focused on improving the efficiency and quality of the care provided by the dental care delivery system. The DentaQuest Institute’s Safety Net Solutions program is a practice management technical assistance program supporting safety net dental programs across the U.S. to become more efficient, effective and financially viable which leads to more access for underserved populations. Since the program began in 2006, the DentaQuest Institute’s Safety Net Solutions program has worked with over 300 safety net dental programs in 34 states.
In addition, the Institute’s Quality Improvement team leads learning collaboratives with dental practices across the U.S. to implement more effective care protocols with an emphasis on prevention and disease management that are able to achieve the Triple Aim. For more information about the DentaQuest Institute and its programs, visit DentaQuestInstitute.org.
The DentaQuest Institute is supported by DentaQuest, a leading oral health company administering dental benefits to more than 23 million individuals across the United States. DentaQuest’s mission is to improve the oral health of all and does so through the work of its benefits business, DentaQuest Institute, DentaQuest Foundation, and DentaQuest’s Care unit.
Our DQI/AcademyHealth Fellows will collaborate with program teams and leadership to develop “rigorous, relevant and timely evidence to increase the quality, accessibility, and value of health care, to reduce disparities, and to improve ORAL health”. They will be part of hypothesis formulation, determination of research design, and selection of data collection procedures and instruments. The Fellow will be supported in conducting modeling, data mining, and database analytics using advanced statistical methods. They will have access to internal and external data sources to transform the data and information into actionable knowledge about effective and efficient care and how that knowledge can be used to improve the care system and better inform policy and financing of care. The candidate will have support to design tests, develop and implement measurement plans, build predictive and analytic models and present results to diverse audiences. They will have the opportunity to collaborate with The National Institute of Dental and Craniofacial Research (NIDCR) and the National Library of Medicine (NLM) Fellows in Oral Health Informatics (OHI). The ideal candidate for this position will have a strong clinical and foundation in statistical theory and practice and is a proactive thinker, self-starter, who enjoys working in a fast-paced and challenging environment with the ability to work independently.