Why does it take hours and sometimes days to transfer a patient?
When a patient needs a transfer for admission, the information flow is from the requesting doctor, to the ambulance company, to the payor/insurance company call center who then call around every affiliated hospital one by one, to ask for availability. There's a lot of wasted time from the receptionist contacting a patient’s insurance to check on their coverage. Then contacting the ward to check on availability. Then contacting the insurance company again to inform them of a lack. Then the insurance agent has to contact other hospitals and the process repeats until someone says they can take them. All this is done telephonically. Moreover, even when each healthcare provider or hospital has a good internal bed management system, coordination continues to be a manual and inefficient process.
How do we help Customers and Patients choose their best placement?
We change the transfer patterns. Information flow is no longer uni-directional but multidireccional. BdIn uses the power of big data and machine learning to analyze thousands of admission conditions and the commercial rules of each hospital in the database at the same time. It then matches them with the characteristics of the patient looking for transfer and suggests potential matches (payor/provider). We like to say we help them do “intelligent admissions”.
Why don’t we track beds?
It is simply a bad approach to the problem. The admission departments in hospitals don’t decide which patient to accept based on the mere “number of free beds” but, instead, based on several rules that respond to internal management, logistics, and the commercial objectives. As opposed to booking a flight or hotel rooms, hospitals depend on multiple variables at the very moment of deciding to accept or decline a transfer request. The admissions department have to manually oversee the assignment of patients to beds and require experienced and well trained staff to do so efficiently and effectively.