The obesity view on Rimidi's platform aggregates risk factors associated with obesity (e.g. hypertension and type 2 diabetes), brings in patient-generated weight data via connected scales, and presents EHR-embedded guideline-based clinical decision support to close gaps with best practices in obesity management.

40 %

of the US population is obese.

$ 190.2b

estimated annual cost of treating obesity and obesity-related related illnesses in the US.

Rimidi's Approach to Obesity

Like Rimidi’s other condition-specific views, Rimidi’s view for obesity aggregates pertinent information from the EHR that impacts clinical decision-making in management of obese patients. In addition, the obesity view alerts clinicians to opportunities to address risk factors associated with obesity, ensures appropriate diagnostic coding and risk-scoring, and identifies gaps in prescribing standards.

Aggregate Pertinent EHR Data

Rimidi aggregates data from the EHR that reflects assessment of obesity as a chronic disease, including biometrics like BMI, current medications, and screening for secondary causes of obesity. This ensures the patient gets guideline-based care, and enables clinicians to easily identify potential gaps in care.

Identify High Risk Patients

Based on the aggregated data, Rimidi presents the patient’s atherosclerotic-cardiovascular-disease (ASCVD) risk score so clinicians can easily see their 10-year risk for heart disease or stroke, and alerts clinicians to comorbidities associated with obesity (e.g. type 2 diabetes, hypertension, sleep apnea, PCOS, non-alcoholic fatty liver disease, and depression.)

Remotely Monitor High Risk Patients

If a patient is higher risk, clinicians may also choose to remotely monitor their progress through the Rimidi platform. Whether it’s daily weights, blood pressure, or glucose levels--Rimidi pulls patient-generated data from connected devices into the aggregated EHR data view so the care team can see how the patient is doing the 360 days a year they are not at the doctor’s office.

Intervene with Guideline-Based Management

Rimidi embeds clinical decision support cards within the clinician’s workflow. For example, if a patient’s data and guidelines suggest they should receive weight management and lifestyle education or anti-obesity medication, the platform alerts the clinician to the next best step in care.

Reduce your costs, and improve patient outcomes

Our goal is to help health systems achieve the quadruple aim of healthcare: better patient outcomes, lower costs, and improved patient and provider satisfaction. We'll show you how.