Learning SQL and a Smattering of Python
By Scott Burns
I want to let you in on a little secret: our product, strategic resources group (SRG), and data services team members are the real healthcare experts here at Stratasan.
Our team of developers are pros at what they do: running data warehouses and computing infrastructure that our applications use to store and analyze complex healthcare datasets. But we rely heavily on the expertise of our team members to prioritize what needs to be developed within our applications.
Based on their direction, we learn what our customers are asking for and then determine what new features and products to build. Working hand in hand, our teams create useful tools that can derive insightful meaning from healthcare data.
Recognizing the need to close the gap between our development know-how and their healthcare insight, we’ve taken steps to improve the flow of communication between our teams and proactively facilitate interdepartmental collaboration. Our goal is to decrease the time it takes to get a product to market so we can more efficiently address the needs and goals of our partners.
What They Are, How to Address Them, and How to Avoid Them
By Hank Neuhoff
Many hospitals and healthcare systems are challenged with having too many analyst needs and too few analysts to complete the work. The massive increase in available healthcare data and our insatiable desire to extract value from that data are both going to continue to grow.
With the increased need for analyst expertise and the shortage of analysts to do the work, we simply cannot afford the cost, time, or trauma of repeating classic analyst missteps. The purpose of this post is to highlight some of the common mistakes analysts make and address how to avoid them.
By Lee Ann Lambdin, Taylor Smith, and Jackie DeGroat
Why It’s Critical for Measuring Progress, Driving Growth, and Meeting Goals
A Playbook for Independent Hospitals and Small Health Systems
strategic growth planning,
healthcare strategic growth,
healthcare service area,
service area growth,
By Taylor Smith and Anusha Achukola
As we saw in last week’s blog post, many hospitals and healthcare systems are challenged with having too many analyst needs and too few analysts to complete all the work. As an in-house analyst—working on your own or as a part of a team—you are likely facing a long queue of requests and wishing you could somehow find a better solution to keep up with the demand.
As the amount of data that healthcare organizations collect continues to grow at a rapid rate, the volume of information you and your team will be tasked with analyzing will only continue to grow as well. Without the right tools and workflows, you will continue to struggle to balance it all.
In last week’s post we outlined a few suggestions for how to overcome the ongoing healthcare analyst shortage. In this post, we’ll address this same issue—but from your perspective.
Specifically, if you are an analyst buried under a pile of reports to be done, we’ve got some practical ways you can update your workflow and manage your work queue—getting more done in less time and with fewer errors.