Implementation of Electronic Medical Records (EMRs), ICD-10, and countless other initiatives in the healthcare industry will continue to keep IT teams busy across the United States for years to come. Thus, healthcare organizations are having to make challenging decisions on where to allocate resources most effectively. However, technological demands continue to increase, and organizations that aren’t able to keep up will leave a considerable amount of value on the table. As organizations are faced with these resource constraints, many are choosing to adapt cloud-based, laboratory data-driven solutions, which require minimal IT time and infrastructure.
Key Considerations for In-House vs. Cloud-Based Solutions
Cloud IT infrastructures can offer significant cost reductions because solutions are offered in a software-as-a-service delivery model. The pay-per-use method of cloud-computing alleviates the upfront, capital commitment normally required for new software implementations. In addition, these SaaS solutions leverage a shared infrastructure at which they operate at scale, enabling them to pass on cost advantages to customers, which they can’t achieve on their own.
IT Resource Requirements
These solutions are packaged out-of-the-box and require minimal IT time, both for implementation, as well as support of the solution. In addition, intuitive solutions that put functions in the hands of end-users which previously resided with IT (such as reporting), free up IT to focus on higher priority objectives.
Service and Support
Choosing a vendor that deeply understands healthcare organizations means having a partner, not just a tool. With focused solutions, vendors have support staff that are able to serve the client’s needs effectively and cost efficiently. Also, the scalability and speed of cloud technology enables functionality difficult to attain on-premise.
Benefits of Cloud-Based Data Analytics Applications
Due to these advantages, many applications are well-suited for a best-of-breed cloud-based solution. For example, organizations are starting to consider fully-hosted, cloud-based data analytics solutions over traditional, in-house developed applications. IT teams and administrators are often frustrated by the deployment cycles, costs, complicated upgrade processes, and computing infrastructures that in-house analytics solutions demand.
In-house data analytics tools extract data directly from production LIS servers that are not built for ad hoc analytics. Often, a report runs for several hours, ending with notification of an error in the report logic. This is unacceptable for the dynamic and fast-paced environment in which healthcare organizations live.
Administration, maintenance, and upgrades of in-house solutions are time-consuming and costly. By shifting analytics solutions into the cloud, organizations will no longer need to carry out time-consuming updates on local servers and constantly commit resources to on-going maintenance of in-house systems.
Distributed computing enables processing of large data sets, which are often found within hospital environments.
Key Considerations When Selecting an Analytics Application
With access to electronic data within EMRs, healthcare leaders are expected to drive down costs and increase quality of patient care. Having sole reliance on your busy IT teams to extract, gather, and build analyses from these complex systems can be challenging, inefficient and prohibitive.
Selecting the right analytics solution for you and your team can be challenging. Here are some key elements to consider when evaluating a lab data analytics solution:
Cloud-based lab data analytics solutions deliver a standardized suite of tools that give users instant access to the data they need without the time, expense, and hassle of developing an internal analytics infrastructure. Viewics, is a reliable, cloud-based lab data analytics solution with a painless implementation process that does not require on-going maintenance or support from internal IT resources. With Viewics, IT teams have a solution to place reporting capabilities into the hands on non-IT resources and empower them with the right analytics tools.
Interested in learning more? Download our eBook, Strategic Planning for Laboratories.