Astera

APRIL 19, 2024

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition. Financial forecasts are reliable.

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Astera

APRIL 7, 2023

In the world of medical services, large volumes of healthcare data are generated every day. Currently, around 30% of the world’s data is produced by the healthcare industry and this percentage is expected to reach 35% by 2025. The sheer amount of health-related data presents countless opportunities.

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Astera

AUGUST 27, 2024

From retail and manufacturing to logistics and healthcare, electronic data interchange (EDI) streamlines the exchange of information by reducing paperwork, cutting costs, and improving accuracy. Healthcare providers rely heavily on EDI 834, 835, and 837 to ensure smooth operations.

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Astera

DECEMBER 2, 2022

What is Healthcare Data Migration? With 30% of world’s data volume produced from the medical industry, most healthcare organizations are using a data migration strategy to migrate their healthcare data from their on-premise legacy systems to advanced storage solutions. Some of those reasons are: 1.

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Astera

APRIL 23, 2024

To do so, they need data quality metrics relevant to their specific needs. Organizations use data quality metrics, also called data quality measurement metrics, to assess the different aspects, or dimensions, of data quality within a data system and measure the data quality against predefined standards and requirements.

Data Quality 52

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Astera

FEBRUARY 20, 2023

Healthcare data integration is a critical component of modern healthcare systems. Combining data from disparate sources, such as EHRs and medical devices, allow providers to gain a complete picture of patient health and streamline workflows. This data is mostly available in a structured format and easily accessible.

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Astera

APRIL 3, 2023

Data entry in healthcare is extremely common for one major reason: the number of documents – patient information, medical records, insurance forms, billing forms, lab reports, prescriptions, consent forms, medical charts, and that’s just the beginning. For the same reason, it is also vital that data is entered in a timely manner.

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Astera

AUGUST 11, 2023

Healthcare organizations deal with huge amounts of data every day, from patient records and claims to lab results and prescriptions. However, not all data is created equal. Different systems and formats can make data exchange difficult, costly, and error-prone. What Does EDI Stand for in Healthcare?

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Astera

APRIL 3, 2024

What is a data quality framework? A data quality framework is a set of guidelines that enable you to measure, improve, and maintain the quality of data in your organization. It’s not a magic bullet—data quality is an ongoing process, and the framework is what provides it a structure.

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The Data Administration Newsletter

MAY 2, 2023

Over the past few decades, data has been gaining significant importance. The uncontrollable spread of data around the world has forced data to become an essential component for various industries, including the healthcare sector. This is encouraging […]

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GAVS Technology

NOVEMBER 8, 2024

Role of Data Quality in Business Strategy The critical importance of data quality cannot be overstated, as it plays a pivotal role in shaping digital strategy and product delivery. Synthetic data must also be cautiously approached in the manufacturing sector, particularly under strict Good Manufacturing Practices (GMP).

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The BAWorld

JULY 22, 2024

Data Quality Analyst The work of data quality analysts is related to the integrity and accuracy of data. They have to sustain high-quality data standards by detecting and fixing issues with data. They create metrics for data quality and implement data governance procedures.

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Astera

NOVEMBER 27, 2024

This is especially useful in the healthcare, law, and finance sectors—where data includes specific terminologies, protocols, and processes. You can scale it to keep up with expanding data volumes and enjoy improved data quality and reduced time to insight.

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Astera

OCTOBER 29, 2024

The obsolescence is even more evident in industries like legal and healthcare where timely access to relevant data is critical. Improved accuracy Advanced NLP techniques, such as NER, OCR, and text classification, enhance the precision of information extraction and the overall data quality.

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GAVS Technology

JANUARY 13, 2025

However, implementing AI-powered dashboards presents challenges, including ensuring data quality, managing change, maintaining regulatory compliance, and balancing customization with standardization. Strategic Alignment: Ensures organizational focus on common goals.

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Astera

MAY 20, 2024

Data provenance answers questions like: What is the source of this data? Who created this data? This information helps ensure data quality, transparency, and accountability. Why is Data Provenance Important? Data provenance allows analysts to identify corrupted data on time.

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Astera

MAY 13, 2024

This blog offers an in-depth look at data aggregation to help you understand what it is, how it works, and how it benefits your business when done right. Understanding Data Aggregation What is Data Aggregation? Government: Using regional and administrative level demographic data to guide decision-making.

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Astera

APRIL 4, 2024

Data governance’s primary purpose is to ensure organizational data assets’ quality, integrity, security, and effective use. The key objectives of Data Governance include: Enhancing Clear Ownership: Assigning roles to ensure accountability and effective management of data assets.

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Astera

MARCH 30, 2023

With the ever-rising volume and complexity of data, organizations face challenges in managing, analyzing, and utilizing data effectively. One of the key challenges that organizations face is effective data sharing within the enterprise. Astera has a long history of helping organizations optimize their data sharing capabilities.

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Astera

FEBRUARY 27, 2024

A medical insurance claim is a bill that healthcare providers submit to the patient’s healthcare insurance company after they receive treatment or care. Medical Bills Medical bills are the invoices or statements healthcare providers issue after providing care.

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Astera

MAY 11, 2023

Artificial Intelligence and RWE The transformative effect of Artificial Intelligence (AI) on RWE in healthcare is undeniable. By using AI in RWD analysis, policymakers can better understand the impact of different interventions and make informed decisions about healthcare spending.

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Astera

MARCH 31, 2023

This is the key to unlocking the potential of this data, empowering businesses to make sense of it and make accurate business decisions. In this blog , you will find out what a single source of truth is, how it applies to enterprises, the implementation challenges, and the benefits it offers. What is a Single Source of Truth?

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Astera

MAY 30, 2024

Digitalization has led to more data collection, integral to many industries from healthcare diagnoses to financial transactions. For instance, hospitals use data governance practices to break siloed data and decrease the risk of misdiagnosis or treatment delays.

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Astera

OCTOBER 26, 2023

The more data we generate, the more cleaning we must do. But what makes cleaning data so essential? Gartner reveals that poor data quality costs businesses $12.9 Data cleansing is critical for any organization that relies on accurate data. Interactive Data Profiling: Gain insights into your data visually.

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Astera

JUNE 5, 2024

This streaming data is ingested through efficient data transfer protocols and connectors. Stream Processing Stream processing layers transform the incoming data into a usable state through data validation, cleaning, normalization, data quality checks, and transformations.

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Domo

MARCH 12, 2021

Improve data quality. With the right tools , users can easily combine data sources and cleanse data to ensure quality. Commercializing data isn’t a core capability for most enterprises. Konica Minolta Healthcare , a leader in medical diagnostics solutions, recognized the need to explore new business models.

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Astera

MAY 25, 2023

This would ensure that you can efficiently extract unstructured or semi-structured data from the medical records of any healthcare chain. Implementing Data Quality Rules for Reliable Extraction Accurate data extraction in health insurance can yield numerous benefits for you.

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Astera

APRIL 28, 2023

For example, GE Healthcare leverage AI-powered data cleansing tools to improve the quality of data in its electronic medical records, reducing the risk of errors in patient diagnosis and treatment. Predictions As artificial intelligence continues to rapidly advance, its potential applications are constantly expanding.

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Astera

MAY 8, 2024

All three have a unique purpose in organizing, defining, and accessing data assets within an organization. For instance, in a healthcare institution, “Patient Admission” might be “the process of formally registering a patient for treatment or care within the facility.”

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Astera

MAY 9, 2023

These algorithms can identify patterns in data and use machine learning (ML) models to learn and adapt to new data sources. The perfect application of this would be in industries such as healthcare, where medical images such as X-rays and MRIs contain important diagnostic information.

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Astera

NOVEMBER 27, 2023

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

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Astera

FEBRUARY 15, 2024

With the inc rea sing use of automation to save time and boost efficiency , a growing number of enterprises are rea lizing the value of automating their form-processing tasks and how it can improve their data entry and management. Data Integration and Analysis D ata extracted from your forms and documents is integrated with other datasets.

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Astera

OCTOBER 24, 2023

Data scientists commit nearly 80% of their time to data preparation, but only 3% of company data fulfills basic data quality standards. This highlights the critical importance of investing in data quality and efficient data preparation processes; they form the foundation for successful machine learning projects.

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Astera

FEBRUARY 2, 2024

Healthcare Forms: Patient intake forms, medical history forms, and insurance claims in healthcare involve a lot of unstructured data. Form processing extracts patient details, medical history, and insurance information to improve the efficiency of healthcare processes.

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Astera

APRIL 24, 2024

A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

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Astera

MARCH 26, 2023

But managing this data can be a significant challenge, with issues ranging from data volume to quality concerns, siloed systems, and integration difficulties. In this blog, we’ll explore these common data management challenges faced by insurance companies.

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Astera

MARCH 28, 2024

It facilitates data discovery and exploration by enabling users to easily search and explore available data assets. Additionally, data catalogs include features such as data lineage tracking and governance capabilities to ensure data quality and compliance.

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