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Time series forecasting is considered one of the most applied data science techniques. We want to share our experience while working on time series projects.

The instruction comprises information about all the key steps, input and output artifacts, and what roles should be involved in the solution development stages.

Unforeseen interoperability issues can hold you back. Learn more about the top barriers to interoperability in healthcare, interoperability adoption issues, and how to overcome them.

Read the post to discover what HL7 standards are and how they work. Discover how they are applied to connect different systems to exchange health data fast and efficiently.

Explore the selection of the baseline and advanced features. Discover how every feature works, what problems help solve, and how they are applied.

Predictive maintenance is a proactive approach that uses data and analytics to predict equipment failures before they occur, helping reduce downtime and lower maintenance costs.

Interoperability in healthcare provides distinct possibilities for patient data analysis. Read the post to learn more about interoperability and find real-world examples.

Supply chain management in healthcare is defined as the cooperation between manufacturers, distributors, clinics, and patients.

MPMS features help medical staff automate the administrative burden. Read the post to discover what features help streamline daily operations and learn more about MPMS requirements.