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What are the tools and technologies that support provider data governance?

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Provider data governance is the process of ensuring the accuracy, completeness, and consistency of the information about healthcare providers, such as their names, specialties, locations, credentials, and networks. It is essential for improving the quality of care, reducing costs, and complying with regulations. In this article, you will learn about some of the tools and technologies that support provider data governance and how they can help you achieve your goals.

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Angela Eberhardt

I am no longer employed but would love to maintain my LinkedIn connections.

1 Data Quality Tools

Data quality tools are software applications that help you assess, monitor, and improve the quality of your provider data. These tools can identify and correct errors, inconsistencies, duplicates, and gaps in your data sources. Data profiling is an important feature of these tools which involves analyzing the structure, content, and relationships of the data to detect any issues. Data cleansing applies rules, standards, and transformations to the data to fix or remove errors and anomalies. Additionally, data matching compares and links records from different sources that refer to the same provider or entity. Finally, data enrichment adds or updates relevant information to your data from external sources such as directories, registries, or verification services.

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Angela Eberhardt

I am no longer employed but would love to maintain my LinkedIn connections.
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In my experience health plan provider directories are as outdated as phone books. Provider demographics are not competitive intel. Plans should be collaborating with providers and other health plans to create a single source of truth repository that is managed by each provider. Plans would then source the providers’s repositories for directory data. This type of payer/provider collaboration could be an industry-wide game changer.

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2 Data Integration Tools

Data integration tools are software applications designed to combine and synchronize data from multiple sources into a unified and consistent view. This can help you consolidate and harmonize your provider data across different systems, platforms, and formats. The features and functions of data integration tools include data extraction from databases, files, web services, or APIs; data transformation from one format or structure to another, such as XML, JSON, CSV, or SQL; data loading to a target destination, such as a data warehouse, a data lake, or a cloud service; data mapping to define the relationships and rules between the source and target data elements; and data orchestration for scheduling and executing the data integration workflows and tasks.

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3 Data Governance Tools

Data governance tools are software applications that enable you to define, implement, and manage the policies, standards, and processes for your provider data. Such tools can help guarantee the compliance, security, and accountability of your data throughout its lifecycle. Data governance tools offer a variety of features and functions, such as creating and managing a metadata repository that describes the attributes, sources, lineage, and usage of your data assets. Additionally, they provide a common vocabulary and definitions for your data elements and terms. They also assign roles and responsibilities for the ownership, quality, and maintenance of your data. Furthermore, they establish and enforce rules, guidelines, and best practices for your data collection, storage, access, and sharing. Finally, they track and report changes, activities, and issues related to your data.

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4 Data Analytics Tools

Data analytics tools are software applications that help you explore, visualize, and communicate the insights and value of your provider data. These tools can measure and improve the performance, outcomes, and satisfaction of your providers and patients. Data query is a feature of these tools, allowing you to access and query your data using languages such as SQL, or graphical interfaces like dashboards or charts. Data analysis applies statistical, mathematical, or machine learning methods to discover patterns, trends, and correlations. Data visualization presents your data in graphical or interactive forms such as tables, graphs, maps, or dashboards. Lastly, data storytelling creates and delivers narratives that explain the meaning and implications of your data findings.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are the tools and technologies that support provider data governance?

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1 Data Quality Tools

2 Data Integration Tools

3 Data Governance Tools

4 Data Analytics Tools

5 Here’s what else to consider

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