scholarly journals Implementing care coordination in a large dental care organization in the United States by upskilling front office personnel

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Aubri M. Kottek ◽  
Kristin S. Hoeft ◽  
Joel M. White ◽  
Kristen Simmons ◽  
Elizabeth A. Mertz

Abstract Background Care coordination is a key strategy used to improve health outcomes and efficiency, yet there are limited examples in dentistry. A large dental accountable care organization piloted care coordination by retraining existing administrative staff to coordinate the care of high-risk patients. Following the pilot’s success, a formal “dental care advocate” (DCA) role was integrated system-wide. The goal of this new role is to improve care, patient engagement, and health outcomes while integrating staff into the clinical care team. We aim to describe the process of DCA role implementation and assess staff and clinician perceptions about the role pre- and post-implementation. Methods Guided by the Consolidated Framework for Implementation Research, semi-structured interviews with clinical and operational administrative staff and observation at the company-wide training session were combined with pre- and post-implementation electronic surveys. Descriptive statistics and mean scores were tested for significance between each survey sample (t-tests), and qualitative data were thematically analyzed. Results With preliminary evidence from the pilot and strong executive support, a dedicated leadership team executed a stepwise rollout of the DCA role over 6 months. Success was facilitated by an organizational culture of frequent interventions deployed rapidly through a centralized system, along with supportive buy-in from managerial teams and high staff acceptance and enthusiasm for the DCA role before implementation. Following implementation, significant changes in attitudes and beliefs about the role were measured, though managers held stronger positive impressions than DCAs. DCAs reported high confidence in new skills and dental knowledge post-implementation, including motivational interviewing and the ability to confidently answer patients’ questions about their oral health. Overall, the fast-paced implementation of this new role was well received, although consistent and significant differences in mean attitudes between managers and DCAs indicate more work to fine-tune the role is needed. Conclusions Successful implementation of the new DCA role was facilitated by a strong organizational commitment to team-based dentistry and positive impressions of care coordination among staff and managers. Upskilling existing administrative staff with the necessary training to manage some high-risk patient needs is one method that can be used to implement care coordination efforts in dentistry.

Author(s):  
James G. Kahn ◽  
Eran Bendavid ◽  
Patricia M. Dietz ◽  
Angela Hutchinson ◽  
Hacsi Horvath ◽  
...  

Background: An estimated 166,155 individuals in the United States have undiagnosed HIV infection. We modeled the numbers of HIV-infected individuals who could be diagnosed in clinical and community settings by broadly implementing HIV screening guidelines. Setting: United States. Methods: We modeled testing for general population (once lifetime) and high-risk populations (annual): men who have sex with men, people who inject drugs, and high-risk heterosexuals. We used published data on HIV infections, HIV testing, engagement in clinical care, and risk status disclosure. Results: In clinical settings, about 76 million never-tested low-risk and 2.6 million high-risk individuals would be tested, yielding 36,000 and 55,000 HIV diagnoses, respectively. In community settings, 30 million low-risk and 4.4 million high-risk individuals would be tested, yielding 75,000 HIV diagnoses. Conclusion: HIV testing in clinical and community settings diagnoses similar numbers of individuals. Lifetime and risk-based testing are both needed to substantially reduce undiagnosed HIV.


The American healthcare system is increasingly dependent on clinical informatics professionals to ensure that information technology contributes fully to measurably improve patient outcomes, enhance individual and organizational efficiency, and lower overall healthcare costs. Although the United States is the most expensive (per capita) healthcare system in the world, it ranks among the lowest in patient access and health outcomes. In the future, an aging population, complex comorbidities, family financial distress, changing cultural expectations, and unsustainable healthcare prices will necessitate a radically broader view of clinical care. Our technologies need to be optimally employed to promote health and support healthcare in a financially sustainable way. Clinical informatics is tasked with improving health outcomes while reducing costs. To realize these aims, clinical informatics must understand relationships among clinical care, workflows, technology, management, and public policy. This book provides an introduction to critical skills required of effective clinical informatics professionals.


2018 ◽  
Vol 20 (3) ◽  
pp. 409-418 ◽  
Author(s):  
Molly A. Martin ◽  
Kenita Perry-Bell ◽  
Mark Minier ◽  
Anne Elizabeth Glassgow ◽  
Benjamin W. Van Voorhees

Health care systems across the United States are considering community health worker (CHW) services for high-risk patients, despite limited data on how to build and sustain effective CHW programs. We describe the process of providing CHW services to 5,289 at-risk patients within a state-run health system. The program includes 30 CHWs, six care coordinators, the Director of Care Coordination, the Medical Director, a registered nurse, mental health specialists, and legal specialists. CHWs are organized into geographic and specialized teams. All CHWs receive basic training that includes oral and mental health; some receive additional disease-specific training. CHWs develop individualized care coordination plans with patients. The implementation of these plans involves delivery of a wide range of social service and coordination support. The number of CHW contacts is determined by patient risk. CHWs spend about 60% of their time in an office setting. To deliver the program optimally, we had to develop multiple CHW job categories that allow for CHW specialization. We created new technology systems to manage operations. Field issues resulted in program changes to improve service delivery and ensure safety. Our experience serves as a model for how to integrate CHWs into clinical and community systems.


2020 ◽  
Vol 75 (1) ◽  
pp. 148-150 ◽  
Author(s):  
Andrea L. Oliverio ◽  
Lindsay K. Admon ◽  
Laura H. Mariani ◽  
Tyler N.A. Winkelman ◽  
Vanessa K. Dalton

1970 ◽  
Vol 09 (02) ◽  
pp. 75-80
Author(s):  
B. G. Lamson ◽  
W. S. Russell ◽  
J. Fullmore ◽  
W. E. Nix

Total information and communication systems within hospitals have been designed, but successful complete implementation, to date, has not been achieved. Limited applications with both patient medical data, notably in the clinical laboratories, and in the hospital accounting offices have been numerous. Although total programs are not yet a reality, it is apparent that the computer will serve ultimately many communication requirements, both medical and financial, within the hospital.Sound hospital management requires that costs of all component operations be known in order that value judgments concerning worth and efficiency may be made. Accrual accounting systems which match revenue and expense over the same time period are a prerequisite. Cash and modified cash hospital accounting cannot provide current reliable data for sound decision making.Costs of hospital operations cannot be evaluated unless related to the characteristics of the patient service load. Average per diem costs mean little except when large similar populations of patients are being compared. A modern hospital accrual accounting system should be able to provide information concerning the costs of caring for specific diseases in patients with known age and sex and disease severity characteristics. Without information of this type, it will not be possible to objectively evaluate alternative systems of financing and organizing patient care.Medical record management offers the promise of prospective use of patient disease information in the planning and scheduling of facilities. The prose content of medical record summaries, such as diagnostic statements in tissue pathology, radiology, and admission and discharge diagnoses, may be susceptible to non-coded, full prose input into computer controlled diagnostic files. Thesauri in the several medical specialties will be necessary for this achievement.There is little immediate prospect for complete hospital communication systems that can be made available as a package to any hospital without substantial local alteration. Pilot projects in teaching centers should be viewed for the time being as opportunities to define objectives, evaluate feasibility, and determine degree of risk and expense.A brief survey of applications in the United States which have been successfully implemented or which appear suitable for successful implementation is recorded.Eleven general principles which have been associated with successful implementation of computer applications within the UCLA Hospital are enumerated.


2020 ◽  
Author(s):  
Carson Lam ◽  
Jacob Calvert ◽  
Gina Barnes ◽  
Emily Pellegrini ◽  
Anna Lynn-Palevsky ◽  
...  

BACKGROUND In the wake of COVID-19, the United States has developed a three stage plan to outline the parameters to determine when states may reopen businesses and ease travel restrictions. The guidelines also identify subpopulations of Americans that should continue to stay at home due to being at high risk for severe disease should they contract COVID-19. These guidelines were based on population level demographics, rather than individual-level risk factors. As such, they may misidentify individuals at high risk for severe illness and who should therefore not return to work until vaccination or widespread serological testing is available. OBJECTIVE This study evaluated a machine learning algorithm for the prediction of serious illness due to COVID-19 using inpatient data collected from electronic health records. METHODS The algorithm was trained to identify patients for whom a diagnosis of COVID-19 was likely to result in hospitalization, and compared against four U.S policy-based criteria: age over 65, having a serious underlying health condition, age over 65 or having a serious underlying health condition, and age over 65 and having a serious underlying health condition. RESULTS This algorithm identified 80% of patients at risk for hospitalization due to COVID-19, versus at most 62% that are identified by government guidelines. The algorithm also achieved a high specificity of 95%, outperforming government guidelines. CONCLUSIONS This algorithm may help to enable a broad reopening of the American economy while ensuring that patients at high risk for serious disease remain home until vaccination and testing become available.


2020 ◽  
Vol 4 (s1) ◽  
pp. 50-50
Author(s):  
Robert Edward Freundlich ◽  
Gen Li ◽  
Jonathan P Wanderer ◽  
Frederic T Billings ◽  
Henry Domenico ◽  
...  

OBJECTIVES/GOALS: We modeled risk of reintubation within 48 hours of cardiac surgery using variables available in the electronic health record (EHR). This model will guide recruitment for a prospective, pragmatic clinical trial entirely embedded within the EHR among those at high risk of reintubation. METHODS/STUDY POPULATION: All adult patients admitted to the cardiac intensive care unit following cardiac surgery involving thoracotomy or sternotomy were eligible for inclusion. Data were obtained from operational and analytical databases integrated into the Epic EHR, as well as institutional and departmental-derived data warehouses, using structured query language. Variables were screened for inclusion in the model based on clinical relevance, availability in the EHR as structured data, and likelihood of timely documentation during routine clinical care, in the hopes of obtaining a maximally-pragmatic model. RESULTS/ANTICIPATED RESULTS: A total of 2325 patients met inclusion criteria between November 2, 2017 and November 2, 2019. Of these patients, 68.4% were male. Median age was 63.0. The primary outcome of reintubation occurred in 112/2325 (4.8%) of patients within 48 hours and 177/2325 (7.6%) at any point in the subsequent hospital encounter. Univariate screening and iterative model development revealed numerous strong candidate predictors (ANOVA plot, figure 1), resulting in a model with acceptable calibration (calibration plot, figure 2), c = 0.666. DISCUSSION/SIGNIFICANCE OF IMPACT: Reintubation is common after cardiac surgery. Risk factors are available in the EHR. We are integrating this model into the EHR to support real-time risk estimation and to recruit and randomize high-risk patients into a clinical trial comparing post-extubation high flow nasal cannula with usual care. CONFLICT OF INTEREST DESCRIPTION: REF has received grant funding and consulting fees from Medtronic for research on inpatient monitoring.


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