Post Rock Family Medicine has a full-time opening on Dr. Mike and Beth Oller’s nursing team. Come join a dynamic group and impact patient lives on a daily basis! The position will work primarily out of Stockton but will at times be required to work shifts in Plainville. Applicants must possess a CMA, LPN or RN license. Candidates with previous outpatient clinic, EHR and quality improvement experience are preferred. Submit your letter of interest and resume by email to SVFMed@gmail.com, attention: Zach Muhrer.
Post Rock Family Medicine selected to participate in new national initiative to prevent heart attacks and strokes
Today, Post Rock Family Medicine has been selected by the Centers for Medicare & Medicaid Services (CMS) as one of 516 awardees in 47 states, Puerto Rico, and the District of Columbia to help reduce the risk of heart attacks and strokes among millions of Medicare fee-for-service beneficiaries. Health care practitioners, such as Post Rock, participating in the Million Hearts® Cardiovascular Disease Risk Reduction Model will work to decrease cardiovascular disease risk by assessing an individual patient’s risk for heart attack or stroke and applying prevention interventions.
According to the Centers for Disease Control and Prevention (CDC), heart disease is the leading cause of death and a major contributor to disability in the United States. One in three deaths are caused by heart attacks and strokes, resulting in over $300 billion of health care costs each year. Currently, health care practitioners are paid to screen for blood pressure, cholesterol, or other risk factors individually. In testing a new approach, practitioners participating in the Million Hearts® Cardiovascular Disease Risk Reduction Model’s intervention group will use a data-driven, widely accepted predictive modeling approach to generate personalized risk scores and develop specific plans in partnership with patients to reduce the risk of having a heart attack or stroke. Accepted applicants were randomly assigned to either the intervention or control group in accordance with the model’s randomized control design.
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