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, based on a patient's data, the cards may--consistent with guidelines--recommend the next best step in care, such as weight management and lifestyle education or anti-obesity medication.

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