Question

Data Mapping

Conduct an Internet search to identify two automated data mapping tools. List the functionalities and benefits of these tools, comparing the functionalities and benefits to the spreadsheet method for data map documentation. Refer to Clinical Data Mapping Process, linked in Resources.

Do you believe Vila Health would benefit from purchasing an automated tool? Provide a rationale and discuss the potential problems a tool can resolve. Also, speculate about the future of data mapping in health care.

Answer 1

Data Mapping
*Data mapping is crucial to the success of many data processes. One misstep in data mapping can ripple throughout your organization, leading to replicated errors, and ultimately, to inaccurate analysis.

*Nearly every enterprise will, at some point, move data between systems. And different systems store similar data in different ways. So to move and consolidate data for analysis or other tasks, a roadmap is needed to ensure the data gets to its destination accurately.

*For processes like data integration, data migration, data warehouse automation, data synchronization, automated data extraction, or other data management projects, quality in data mapping will determine the quality of the data to be analyzed for insights.

Automated Data mapping tools

*Clover-DX

*Xplenty

Clover-DX functionalities and Benefits

*Manage your data workloads and related processes together in a single platform.
*No task is too complex. We’ve built CloverDX on years of experience with large enterprise projects.
*Developer-friendly open architecture and flexibility lets you package and hide the complexity for non-technical users.
*Manage the entire lifecycle of a data pipeline from design, deployment to evolution, and testing.
*Get things done fast with the help of our in-house customer success teams.
*Deploy and publish data in any environment, cloud, or on-premise with clients for all desktop platforms.
*Customers champion CloverDX because of its flexible components and robust orchestration capabilities.

Xplenty functionalities and Benefits

*Rich Connectivity Library: Xplenty connects with a variety of data sources. Including structured query language (SQL) data stores, NoSQL databases, and cloud storage services.
*Out-of-the-Box Data Transformations: Without coding anything, Xplenty offers out-of-the-box data transformations.
*These help you integrate data from many sources into one pipeline.
Third-Party Integrations: Xplenty integrates with a variety of tools.
*Especially for logging, visualization, and data analytics.
Scheduling: Run your data processes when you want with the ability to schedule.

Data Mapping in Healthcare

*One essential component of health IT interoperability, and the improved care and efficiency it offers, is data mapping.
*Data mapping involves "matching" between a source and a target, such as between two databases that contain the same data elements but call them by different names.
*This matching enables software and systems to meaningfully exchange patient information, reimbursement claims, outcomes reporting, and other data.

Resolving problems in Data Mapping

*Support for a Diverse Set of Source SystemsSupport for a Diverse Set of Source Systems
*Support for a Diverse Set of Source Systems
*Ability to Schedule and Automate Database Mapping Jobs
*Instant Data Preview Feature for Real-Time Testing and Validation of Mappings

Future of Data Mapping in healthcare

*Data mapping is a broad technical function occurring in many different settings with many different databases, data sets, standards, and terminologies.
*If HIM professionals are not currently involved in data mapping in their organizations, there is every reason to expect they will be in the near future.
*Data mapping will continue to become integrated into US healthcare as the industry moves to electronic health records.
*Mapping will play a key role in moving data from setting to setting and use to use, from informing patient care to informing national policy decisions.