Our moonshot is lowering cardiovascular patients readmissions cost by 25 percent.
CardioCube is a med-tech company empowering hospitals and insurance companies through cloud-based cognitive computing to support cardiovascular disease patient-centric treatment.
by lowering readmissions costs by 25%
by integrating home and hospital data
by better-informed clinical decisions
Take a look why so many hospitals and doctors support us
Patient leaves hospital after a planned visit. Doctor gives him Amazon Echo connected
to our cloud system with uploaded treatment plan. From now on patient speaks and
interacts with his Amazon Echo just like with his cardiologist. Device asks him
questions and acquires medical information (e.g. dyspnea, body weight, blood pressure,
All of this data is being integrated into cloud-based big data platform that shows clinical insights to his doctor. Better-informed clinical decisions and effective treatment lowers complications risk, minimizes the amount of unplanned readmissions and optimizes healthcare costs.
It has been proven that home treatment support system is a useful strategy for patients with heart failure reducing all-cause 30-day readmission rate even up to 73%.
How others have tackled unplanned readmissions before? Approach changed during last
few decades. Some doctors used to call their patients and asked a set of clinical questions
that helped to assess patients’ health condition and changed therapy if needed. But
doctors were simply not able to call all of their patients. The problem was reaching a wider
scale of this service. Then, next generation of solution was introduced. Cardiologists
started to give their patients tablets with follow-up software. Patients were filling in
medical questionnaires at home by themselves. But polls were boring, so there was a huge
dropout rate among users. And doctors still had to spent hours on analyzing received data.
That is why we aim to automate two parts of acquiring home medical data.
The first one is contact with patients and the second one - medical data analysis.
Machine-learning algorithms for hospitals to analyze big data composed of Electronic Health Record and patient home care medical data.
Patient home care data interface integrated with chatbots, Facebook Messenger, voice-first devices (e.g. Amazon Echo), or CardioCube medical device.
Patient home care data interface for high-risk patients requiring medical product functionality. Easy to use for eldery patients.
Voice-first devices as patient home care data interface
Our achievements and plans
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