By Prabakar M
Data Management in Healthcare and Need for UDM
Data Management in Healthcare and Need for UDM
Many establishments today are managing data in secluded silos through independent teams via numerous data management tools, to ensure quality of data, integration of data, governance of data and managing master data as well. Numerous organizations of today are looking forward for a better data management techniques like unified data management (UDM). UDM is a practice that coordinates different teams and assimilates data. This system also has some common names in different industries like enterprise data management, enterprise content management and enterprise information management.
The common challenge in the healthcare ecosystem is to work towards the betterment in the quality of patient care despite the increasing cost. At the same time, there are mounting pressures for healthcare organizations to implement the latest regulations and healthcare reforms. Considering the volume of information that is handled in a healthcare setup, like patient data, hospital data, provider data, payer data and much more, implementing a better data management practice is a need of the hour for better efficiency and decision support.
Similar to several other industries, each and every linkage in the entire healthcare system, starting from providers to payers, is contending with extraordinary amounts of data. As the data is now expanding in such a way that it includes big data, a healthcare set up requires following a unified approach to manage data. This simplifies the integration of conventionally represented structured data with other challenging forms of unstructured or semi-structured data.
Unified data management encourages advanced analytics via latest technologies that can produce better outcomes and facilitate more accurate insights based on the data. Applying UDM in large amounts of data that come from remote device management systems also enables more modified services and treatments for patients.
Benefits of UDM
Unified data model for healthcare helps to solve complex issues involving multifaceted data, make the most of the value of amorphous data in population management, convert insights into action via reporting and analytic data representations and respond to changing healthcare requirements. This new approach towards data management assists healthcare entities to comprehend meaningful use of their data assets.
The common challenge in the healthcare ecosystem is to work towards the betterment in the quality of patient care despite the increasing cost. At the same time, there are mounting pressures for healthcare organizations to implement the latest regulations and healthcare reforms. Considering the volume of information that is handled in a healthcare setup, like patient data, hospital data, provider data, payer data and much more, implementing a better data management practice is a need of the hour for better efficiency and decision support.
Similar to several other industries, each and every linkage in the entire healthcare system, starting from providers to payers, is contending with extraordinary amounts of data. As the data is now expanding in such a way that it includes big data, a healthcare set up requires following a unified approach to manage data. This simplifies the integration of conventionally represented structured data with other challenging forms of unstructured or semi-structured data.
Unified data management encourages advanced analytics via latest technologies that can produce better outcomes and facilitate more accurate insights based on the data. Applying UDM in large amounts of data that come from remote device management systems also enables more modified services and treatments for patients.
Benefits of UDM
- Manages data more efficiently, especially in a healthcare setup.
- Reduces costs throughout the system while ensuring strict adherence to regulatory standards and compliances.
- Ensures better patient care, higher patient satisfaction and improved outcomes. This also improves the administrative, clinical and financial operational efficiency in a healthcare eco-system.
- Manages data efficiently from multiple sources, such as hospital applications, payers, suppliers and intermediaries, thereby eliminating chances of inefficient data management.
Unified data model for healthcare helps to solve complex issues involving multifaceted data, make the most of the value of amorphous data in population management, convert insights into action via reporting and analytic data representations and respond to changing healthcare requirements. This new approach towards data management assists healthcare entities to comprehend meaningful use of their data assets.
Many clinics use virtual data rooms for data management. I know one hospital, which uses Ideals for documents. Different certificates they also get through this system.
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