UCSD Fall Science and Tech CaF!

Hi again!

A lot has changed since I’ve last updated. I found myself in sort of a work routine. Which isn’t bad I think. Work’s been great. I’m happy.

I will be attending a UCSD Career Fair this Wednesday, this time, on the other side of the booth! I have the chance to talk about my company and bring in awesome candidates who aspire to learn and succeed like I do. As awesome as my company is (I’ll put this in another post) I feel like not a lot of people know who we are or what we do. Through this post, I hope to make our company known as a great place to end up as an engineer post-undergrad.

The goal of my company at the career fair is to make a presence and attract candidates to fill in four internship-to-full-time positions next summer. This will be tough because of the intense competition there will be, such as the major bay area companies like Google, Salesforce, Facebook, Adobe who hire tons of interns who are qualified to work at my company.

Below is a summary from the hiring manager/scrum master/engineering manager. There is lots of good information here that I plan to use at the career fair. In another post, I’ll be detailing my experiences and why my company is so damn awesome.

PHM Summary for Technical Candidates

High Level

At at high-level summary, we build applications to help healthcare organizations identify the quality and utilization of care being provided to their patient population. Our applications help our customers identify when to take action to ensure better healthcare in a timely manner.

Engineering Details

Our Healthlogix platform includes a number of applications that work together to show our customers different views of the healthcare quality and utilization they are providing. At the core, our application pulls in patient data, and runs measures or rules against this data. These measures were developed based on standards and implemented through a partnership with our staff medical doctors and engineers. We have an analytics engine (C++) that runs the measures against the patient data, and those results are stored in our data warehouse (Oracle DB). RESTful web services have been created (written in Groovy, a JVM framework language) that are called by our front-end applications (Web written with Angular and iOS Mobile written with Swift). Our front-end interfaces vary based on the user, we have a population view that may be used by a Chief Medical Officer to look at the aggregate of all the patients in all the hospitals and facilities of the organization. This can be drilled down to doctors at specific facilities or even specific patients. We then can get even more granular to show data for a single patient, which is where our iOS mobile application shines, to allow a single doctor or clinician to view details and history on that one patient.

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