Independent living for the whole family.
Background: In the US, a lot of times people go to the emergency rooms even for minor ailments such as flu, minor injuries, minor back sprains, and such infirmities. It is expensive for Medicare to maintain such a medical care. In order to reduce the costs, by way of mitigating ER visits is to monitor the daily vital parameters and manage them pro-actively. We can monitor many parameters to provide trend and predictive analysis using machine learning algorithms and neural networks. The parameters are to be chosen judiciously because the patients resent constant invasive measurements. New sensors are being invented and they would have to be included in the daily monitoring program as they come into vogue.
Plan of Action: The patients are given monitoring devices that record the parameters and the data will be sent to the local monitor by wireless devices. In the absence of these devices, the parameters are recorded manually and uploaded to the monitor on a routine basis. Currently, we mark the daily readings, average them over a week or a month and assign a risk based on an empirical formula. See attached excel sheet (It has four sheets). Given the parameters and the risk factor, a neural network is trained to predict the probability of imminent hospital visit or a visit to the doctor.
Cost: Please feel free to contact us if this tool is useful. Cost varies based on the information, parameters, and number of clients. Clients that are signed up for telehealth will automatically be enrolled.