The Problem: In today’s fast paced world, most people don’t have the time to monitor their health proactively and end up going to the doctor in a reactive mode. Also, sometimes patients are unable to recognize symptoms or ignore them causing long term health issues.
Our Proposed Solution: Voice enabled AI health assistant that analyzes large volumes of data from consumer and medical IoT devices such as Smart watches, Fitness trackers, CPAP masks, Biosensors and assists in health related tasks like recommending and setting up doctor's appointments, sending notifications/reminders, symptoms checking, prescription filling, diet recommendations, health & wellness coaching etc.
ROI: Better patient health. Better usage of healthcare facilities and devices. Fewer missed appointments.
Assisting Medical Professionals in Diagnosing Diseases
The Problem: Correctly diagnosing diseases takes years of medical training. Even then, diagnostics is often an arduous, time-consuming process. In many fields, the demand for experts far exceeds the available supply. This puts doctors under strain and often delays life-saving patient diagnostics.
Our Proposed Solution: Diagnostics support using vision based Deep Learning algorithms. Artificial Intelligence can assist medical professionals in diagnosing diseases by doing a lot of the initial analysis based on trained models. Where AI can add unique value is in helping detect anomalies in medical images that are too small for the human eye to detect and provide critical life saving diagnostics support to medical professionals.
ROI: More efficient use of healthcare professionals time enabling them to serve more
patients. Better diagnosis leading to better healthcare for patients.
AI Powered EHR
The Problem: Medical professionals spend a lot of time in documentation tasks which takes away time that they could be spending in seeing more patients with reduced patient wait times. Documentation is also not always accurate due to this paucity of time.
Our Proposed Solution: Speech recognition and predictive auto-complete in EHR systems to enable more efficient documentation. AI technology can automate several clerical tasks, including documenting medical findings, writing prescriptions, processing insurance claims, patient billing, and data reporting. Enabling EHR systems to have meticulous documentation and coding will also help better payment bundling and deliver true value based care.AI can also power risk adjusted panel sizing resulting in increased patient satisfaction and reduct physician burnout.
ROI: Increased patient satisfaction due to shorter wait times. More efficient use of medical
professionals times reducing burnout. Reduced error rates in filing claims resulting in efficient payments. Better payment bundling to de-
liver value based care. Better patient and provider outcomes.