|
Data Genomics for Healthcare Supply Chain Solution Overview
Today's healthcare supply chain is a vast and complex environment overwhelmed with data disparity between the multitudes of item file formats and product definitions. The lack of accurate, synchronized product information inhibits the implementation of standards and deployment of efficient business processes. Ordering items off contract, getting the wrong size, over or under stocking, billing errors, and manual reconciliation are common challenges in this environment. Providers, typically operating on very thin or negative margins simply can't afford these costly inefficiencies. Most purchasing departments already have a good Enterprise Resource Planning (ERP) or Materials Management System (MMS) in place but struggle to realize the full potential these tools offer because they lack reliable synchronized product data.
The product data contained in MMS or ERP systems is oftentimes incomplete and inaccurate. There is also great variability of information among a hospital's suppliers. This causes many issues in the supply chain leading to waste, delayed processing, and unnecessary manual intervention; all of which increase costs and potentially put patients at risk. Whether you are embarking on a Master Data Management (MDM) initiative, migrating purchasing systems, preparing for joining the Global Data Synchronization Network (GDSN®), or simply want reliable business intelligence, clean and well structured data is a prerequisite.
Optimized Supply Chain Data is critical to proper implementation of supply chain management and improvement efforts. With Optimized data, you know the true manufacturer and catalog number, you have a complete and accurate description with full packaging information, you have items properly classified according to industry standards like the UNSPSC® or your own in-house taxonomy, and your data is presented in a consistent usable format that is synchronized and continually maintained. With Optimized data, your staff is freed from time consuming and inefficient data cleansing activities and can focus on adding value through deeper analysis and better decision making.
Solution Description
The Data Genomics for Healthcare Supply Chain solution delivers high quality results with minimal manual effort using proven technology. The system is built using Service Oriented Architecture (SOA), which means it is designed to plug and play with other systems in your environment. Additionally, the Data Genomics Solution is based on Open Source technology which yields lower costs, higher levels of functional flexibility and customization. The system leverages a number of advanced technologies including Artificial Intelligence, Machine Learning algorithms, Semantics-based processing, and Statistical analysis. The combination of these advanced technologies implemented within the context of a medical ontology provides added value unattainable with traditional approaches. Unlike other generalized products, the Data Genomics for Healthcare Supply Chain solution is specifically tailored for the unique challenges facing healthcare trading partners.
The Data Genomics for Healthcare Supply Chain solution consists of four Data Services - Enrichment, Normalization, Categorization and Standardization. These services interact with each other to continually refine your source data into complete, accurate, categorized, well-structured, and usable information; in other words, comprehensive insight through Optimized Supply Chain Data. The efficient design reduces hardware requirements, the use of Open Source components reduces licensing costs; ultimately your Total Cost of Ownership (TCO) is lower. The Data Genomics for Healthcare Supply Chain solution is available through a turnkey hosted service offering or as a fully customizable solution that can be integrated into your existing systems. Fast implementation and reduced complexity is provided through ITG's integration services. With Data Genomics the result is greater accuracy, reduced costs, and improved decision making abilities.
|