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AnalyticsMD (YC W15) Applies AI to Optimize the ER
- muditgarg 12y agoJust launched our product on TechCrunch. Helping hospitals run smoothly a challenging problem but one we care a lot about. If any of you want to talk about this or have stories from waiting in the ER or a doctors office please share :)
- monksy 12y agoHow has this performed in the real world? Has it been tried in high traffic areas? (i.e. chicago/nyc)
- 0xdeadbeefbabe 12y agoDoes it get reinforced for doing an obviously bad or good job?
- muditgarg 12y agoYes. Our data feeds include the outcome variables we are optimizing for which helps the algorithms retrain as new patterns emerge.
- muditgarg 12y agoGreat question. Generally our system performs better in higher volume areas given the higher "n" in the data but we don't have a live deployment in a high traffic community ER yet. Hopefully we will have a more conclusive answer for you soon!
- ratpik 12y agoHow does this data enter your system?
- muditgarg 12y agoUnfortunately, there aren't any great APIs in the health IT world but we integrate with various hospital systems. We do not ask staff to enter any additional data than what is already in these systems
- atratus 12y agoWhat is your tech stack?
- tdaltonc 12y agoI know a lot of ER doctors. They all hate the software that they have to work with; especially the "resource control" software that stands between them and the drugs and tools they need to treat people. This seems like another tool in that direction. It seems designed to take decision making away from doctors and put it in the hands of management. What do you expect that this tool will do for the working environment of ER doctors and nurses? Or the relationship between them and their patients?
- muditgarg 12y agoGood question. ER doctors hate when software gets in the way of their clinical decision making. We deliver recommendations to the front line managers but they decide what to act upon. One of the most frustrating things for the doctors often is when they are waiting to treat the patients but can't because there are no beds, or not enough staff or labs are not coming back. Our software anticipates those problems and recommends taking out those bottlenecks in advance. Our hope is that we will make the day of the staff in the ER much less stressful and allow them to focus on spending more time with the patients.
- kakoni 12y agoCan you tell more about DecisionOS? Is this something you've built inhouse or is it based on MLLib etc?
- elyrly 12y agoIs there any lash back from integrating with Epic within the Hospitals?