How MedeAnalytics Builds a World Class Data Team
According to the Society for Information Management’s 2016 IT Trends Study, 46 percent of IT leaders cited analytics/business intelligence/big data as the number one most difficult technical skills group to find and recruit. In addition, hiring managers cited those same skills as the number two most important capabilities needed by organizations (cited by 47 percent). With a high demand for strong analytics and business intelligence skills across the healthcare industry, how can companies address the skills deficit?
Healthcare analytics company, MedeAnalytics strives to overcome this industry trend with a mixed approach.
In terms of recruitment, a good data engineer/analyst is hard to come by but there are events and specific demographic areas that a hiring manager can attend. Regularly participating in local tech meet-ups is a great way to network and get to know experts in the field. Also, collaboration with local colleges and universities can help fill the new hire funnel and gives your organization the opportunity to influence which technologies students are exposed to during their training.
Training and promoting talent within is also important as data science technology is ever changing and finding someone with complete, up-to-date expertise is difficult. Hiring managers and data teams can address this by offering internal training programs to fill skill gaps in-house.
With this strategy, MedeAnalytics continues to grow its team with top engineers and analysts. Think you have what it takes to join our data team? Check out our current job openings here.
Get our take on industry trends
Why Health Plans and Employers Need Stop Loss Reporting
Due to rising healthcare costs and the Affordable Care Act removing the ban on capitated benefits coverage, numerous employers with self-insured health plans often purchase stop loss coverage. This coverage is not medical insurance; but rather, it’s a financial and risk management tool that protects the employer from excessive claims.
Read on...
Bridge the Payer/Provider Data Gap
Every patient has a plethora of data associated with their health record, which can include decades of enrollments, claims, accounts and charges. Much of this data is not housed within the same institutional, facility or provider database…
Read on...
Digging deeper: Leveraging analytics to boost service line profitability
Regardless of the size of the hospital or health system, you need to look beyond traditional operational metrics to fully understand your organization’s performance. Insights into revenue, volume, cost, quality and variation across service lines are key to improving both performance and profitability.
Read on...