Working together is hard, even for technology and applications. With an abundance of miscommunications, it’s a wonder that anything actually gets done! The same is true of your computerized maintenance management system (CMMS), which relies on data from devices to do its job.
The best way to maximize your asset value and operational efficiency is to ensure everyone’s on the same page with a common goal. Achieving this requires a common data foundation—a single source of truth—that can be used across operations to help you realize the full benefits of real-time, connected medicine.
Unfortunately, establishing and leveraging a single source of truth isn’t always as simple as it should be. Like many areas in life, the main issue is poor communication.
Many health systems are turning to healthcare IoT solutions to address common data deficits and provide insights to optimize their asset life cycle. However, this work can be fraught with trouble, so here are five critical capabilities you will need to deploy this integration successfully:
- Data Quality
- Matching Algorithms
- Meaningful Integrations
- Data-Enabled Convergence
- Automated Workflows
Often these capabilities are new, and like learning a new language, it’s hard to decide where to start. But in the long run, they will help you evaluate tools that could enable your CMMS to achieve your device management goals. It truly is all about communication, so understanding what you need to complete your data platform goals is the first place to start.
1. Data Quality
Each device speaks a unique language. As a CMMS does not listen to network traffic or understand what devices are out there, your tools must be very good at listening and speaking hundreds of device languages to deliver quality data. The data has to be highly accurate to power a successful integration. The best way to assess data quality is by looking at the completeness and accuracy of the device profile the tool generates.
2. Matching Algorithms
There will always be that one field that has a missing character or a different naming convention! Bringing good data into your CMMS allows reconciliation to begin. Accurate algorithms can leverage medical device and protocol databases and automatically match device data with information already in your CMMS database, resulting in clean, complete, and up-to-date device profiles that reflect what’s occurring on the network.
3. Meaningful Integrations
Unless your data source successfully integrates with your CMMS platform, your project is doomed to fail. Perhaps the best indicators of a data source’s maturity are self-service integrations and availability for customizations. Built-in data management capabilities should automate ongoing data syncs to keep inventories and insights current with minimal upkeep.
4. Data-Enabled Convergence
When your CMMS is up-to-date, the benefits extend to other systems and workflows. The power of meaningful, cross-departmental action based on a common data foundation is one of the main reasons to integrate your CMMS with a data tool. Other stakeholders and systems can use relevant data cuts to improve decision-making and automate workflows – enhancing your organization’s security, efficiency, performance, and productivity.
5. Automated Workflows
A clear advantage to integrating your CMMS is the impact on day-to-day BioMed operations. The resulting capabilities and productivity gains are game-changers, resulting in a data tool that effectively orchestrates correct data. Accurate data can help you eliminate many outdated and manual routines. Still, if those improvements are not automated, it’s just another expensive tool to manage.
As you search for the right data tool to integrate into your CMMS, we have this helpful Buyer’s Guide for you to compare the capabilities of the different providers in this space. We hope you evaluate Medigate, and we’re always happy to answer any questions or provide any insights you need on our capabilities. Simply visit medigate.io/cde.