An automated Early Warning System and Clinical Decision Support tool for obstetrics, designed to enhance clinical efficiency, timely intervention and standardization of care.

Labor & delivery decision support, capacity management

• A physician sees a patient with poorly controlled diabetes in the office and is prompted in the Rimidi diabetes view to enroll the patient in remote monitoring and to consider a therapy adjustment to optimize cardiovascular risk reduction. The physician creates a dynamic care plan with each encounter that posts back to their EMR. The physician reviews the patient’s home glucose readings one week after therapy adjustment to ensure adequate control.
• A patient uses the connected glucometer provided by the practice. She can see whether she is in her target range, receive messages from her care team in response to her data, and access the diabetes educational course recommended to her on her home device. She feels more connected and in control of her diabetes.
• A care coordinator monitors a clinic’s patients with diabetes, heart failure or hypertension remotely, addressing alerts configured for the clinic and ensuring that they are meeting clinical guidelines and helping to avoid costly admissions and readmissions. Documentation for RPM and CCM activity is done in the Rimidi app and aggregate for billing purposes.
• A primary care physician scans a patient population in the Rimidi app and sees several patients with cardiometabolic risk factors that are at risk for Nonalcoholic Fatty Liver Disease. The physician receives guideline-based, clinical decision support to guide the patients to the appropriate level of care—whether that’s a specialist referral, bloodwork, or imaging.
• A clinic uses Rimidi to send depression screening questionnaires before all annual physician exams for their patients with heart failure and diabetes. Patients can complete the questionnaire on any device and Rimidi posts the responses back to the EMR as well as visualizing them within the Rimidi app.

Data has so far shown that people with pre-existing conditions like diabetes and hypertension are more likely to have worse COVID-19 outcomes. While the need to provide continual, virtual models of care to better manage chronic conditions has always been important, it's especially important during COVID-19 to reduce risk of COVID-19 exposure in healthcare settings, and to ensure that the highest risk populations are still getting the care they need.

Rimidi has developed a view specifically for tracking gaps in care in Pediatric Obesity, a major risk factor for future development of cardiometabolic conditions.

Clinicians, care teams