Luna Technology Solutions
Luna Technology Solutions (LTS) has over 70 years of cumulative professional recruitment expertise among our recruitment and business development teams. Established in Austin, Texas in 2000 as part of Luna Data Solutions, we’ve grown organically to become one of the best-known and well-respected recruiting firms in the industry.
We match people with the right company to develop their potential.
We match companies with the people that will take their business to the next level. We provide IT-Engineering staffing solutions, IT talent management expertise, and IT services to help our clients plan, build out, and run their critical business-focused initiatives.
Project Managements/Business Analysis
We provide solutions for temporary staffing, permanent placement, career transition, talent development, as well as outsourcing and consultation. Our insight into human capital management enables us to help our clients achieve their business goals while optimizing their workforce strategies. Through our range of quality-delivery models, we meet our clients where they are, and take them where they want to go, in the way they want to get there.
The next phase of the Electronic Health Record (EHR) continuum is patient access, enabling patients to interact with the capability and data the EHR brings. First let us look at ideas for the capability to provide. Then, once the capability and data is provided, let’s examine ways to encourage and motivate patients to actually use it.
If you build it, will they come?
With the focus on the implementation of Electronic Health Record (EHR) systems, organizations may not be thinking ahead to the enormous promise that digitized healthcare data presents. Now this data can be searched in seconds to find all diabetic patients, for example, rather than spending hours and days searching through paper files. Data analytics in healthcare holds great promise for improving healthcare quality, improving processes, and reducing costs. In a panel discussion back in 2011, I saw the early signs of a tidal wave of data analytics in healthcare and stated, “I’m ready to declare the era of business intelligence.”
An EHR is often installed quickly, to earn incentive payments or to save on implementation costs. But by doing so, the associated workflow processes may not be optimized for your organization. For example, the system may enable patients to email their physician, but this may result in a flood of such emails. An optimization effort may introduce a triage step where nursing staff or a care team help categorize the email. Which email must the physician address immediately? Which can wait, or be handled by others?