3 ms·
This is great. We and few others including rpedela who commented below did something similar working with over 50M+ patient events from clinical data from our p
by radnam 11y ago
This is great. We and few others including rpedela who commented below did something similar working with over 50M+ patient events from clinical data from our partners however found it incredibly hard to sell.
Hope you find some success in this area. It is always interesting to see another healthcare entrepreneur. Feel free to ping me at rahurkar@gmail.com if you want to talk.
- aub3bhat 11y agoThanks, I will email you. One particular feature of our platform is that the bulk of data collection & normalization work is already done by government agencies such as AHRQ HCUP and various state agencies. These databases have several users already. We are literally standing on shoulder of giants. Further while these agencies have been very good at developing databases. They suffer from lack of good tools to query them efficiently. E.g. Here is the tool used by Texas, http://healthdata.dshs.texas.gov/ http://healthdata.dshs.texas.gov/ This is the one used by AHRQ HCUP http://hcupnet.ahrq.gov http://hcupnet.ahrq.gov New York state simply strips large number of fields and makes all individual visits information available via https://health.data.ny.gov/Health/Hospital-Inpatient-Discharges-SPARCS-De-Identified/rmwa-zns4 https://health.data.ny.gov/Health/Hospital-Inpatient-Dischar... There is a strong need to create a single easy to use platform that allows patients/physicians/researchers to query them while optimizing for usability, privacy and security. We think that Computational Healthcare does that and is a step in the right direction.
- rpedela 11y agoHave any of the users of these databases and/or agencies committed to using/buying your tool? Have any signed a letter of intent?