ElegantJ BI

AUGUST 19, 2021

The Smarten Partner is a healthcare service provider in the United States, providing a web-based, patient-centric, healthcare management solution and workflow solutions to assist hospitals and healthcare facilities, increase operational efficiency and reduce costs.

Healthcare 100

Healthcare Data Management Business Intelligence Business Intelligence 100

ElegantJ BI

AUGUST 19, 2021

The Smarten Partner is a healthcare service provider in the United States, providing a web-based, patient-centric, healthcare management solution and workflow solutions to assist hospitals and healthcare facilities, increase operational efficiency and reduce costs.

Healthcare 100

Healthcare Data Management Business Intelligence Business Intelligence 100

ElegantJ BI

AUGUST 19, 2021

The Smarten Partner is a healthcare service provider in the United States, providing a web-based, patient-centric, healthcare management solution and workflow solutions to assist hospitals and healthcare facilities, increase operational efficiency and reduce costs.

Healthcare 100

Healthcare Data Management Business Intelligence Business Intelligence 100

ElegantJ BI

AUGUST 19, 2021

The Smarten Partner is a healthcare service provider in the United States, providing a web-based, patient-centric, healthcare management solution and workflow solutions to assist hospitals and healthcare facilities, increase operational efficiency and reduce costs.

Healthcare 100

Healthcare Data Management Business Intelligence Business Intelligence 100

Astera

FEBRUARY 27, 2024

Automating data extraction from patient registration forms in healthcare is crucial to enhancing patient care efficiency, accuracy, and overall quality. Over 71% of surveyed clinicians in the USA agreed that the volume of patient data available to them is overwhelming.

Healthcare 52

Healthcare Documentation Artificial Intelligence Data Management 52

Astera

FEBRUARY 27, 2024

Automating data extraction from patient registration forms in healthcare is crucial to enhancing patient care efficiency, accuracy, and overall quality. Over 71% of surveyed clinicians in the USA agreed that the volume of patient data available to them is overwhelming.

Healthcare 52

Healthcare Documentation Artificial Intelligence Data Management 52

Astera

JULY 6, 2023

Automated medical record data extraction tools are revolutionizing healthcare businesses by efficiently extracting and utilizing diagnostic data Diagnostic data serves as the cornerstone for accurate diagnoses, treatment planning, and monitoring of patient progress.

Healthcare 40

Healthcare Artificial Intelligence Documentation Monitoring 40

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 […]

Healthcare 52

Healthcare Data Quality Data Management 52

Dataversity

NOVEMBER 21, 2023

Medical research is dynamic and vast, so institutions have been apprehensive about experimenting with too many Data Management solutions. After all, the risk of exposure and, ultimately, a patient data confidentiality breach can create havoc.

Healthcare 157

Healthcare Data Management Data Architecture 157

Astera

MAY 24, 2023

Studies show that by automating just 36% of document processes, healthcare organizations can save up to hours of work time and $11 billion in claims. So, let’s delve further into how healthcare organizations are significantly improving their medical record management processes using an automated data extraction tool.

Healthcare 40

Healthcare Documentation Innovation Digital 40

The Data Administration Newsletter

AUGUST 16, 2022

The information companies and organizations can gather from user data allow them to make improvements to how they operate and the services they provide to benefit their customers. But the healthcare industry in particular is seeing significant improvements from the big data […].

Big Data 52

Big Data Healthcare Data Analytics Data Analytics 52

Dataversity

APRIL 16, 2024

In the healthcare industry, surgical capacity management is one of the biggest issues organizations face. Data, particularly real-time data, is an essential asset. But it is only […] The post Overcoming Real-Time Data Integration Challenges to Optimize for Surgical Capacity appeared first on DATAVERSITY.

Real-time Data 144

Real-time Data Healthcare Data Architecture Data Management 144

Analysts Corner

FEBRUARY 23, 2023

Learn about data and databases Business analysts work with data, so it’s essential to have a solid understanding of data structures, databases, and data warehousing. You can learn about these topics by taking online courses or reading books on data management and database design.

Supply Chain 130

Supply Chain Healthcare Logistics Finance 130

The Data Administration Newsletter

FEBRUARY 28, 2023

Thanks to the internet, ordinary citizens can instantly access enormous volumes of data on pretty much any topic they wish to explore, no matter how esoteric it may be. Knowledge truly is power, and at no time in human history have people had more access to information than they do today. However, the real value […]

Big Data 52

Big Data Healthcare Data Management Business Intelligence 52

TIBCO

MARCH 22, 2021

This year, embrace the spirit of spring at the TIBCO Analytics Forum (TAF) 2021 by learning about new analytics and data management technologies and approaches and how to foster growth in the coming years. And get a head start on upping your analytics knowledge by exploring the TIBCO Community Blog and Spotfire demo gallery.

Pharmaceutical 97

Pharmaceutical Healthcare Artificial Intelligence Logistics 97

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.

Healthcare 40

Healthcare Artificial Intelligence Pharmaceutical Data Quality 40

The Data Administration Newsletter

MAY 4, 2021

The expansion of big data applications has created opportunities across economic sectors. In healthcare, however, the potential of big data applications goes far beyond the financial. The contextual data gleaned from big data can drive healthcare solutions and accessibility to new heights.

Healthcare 98

Healthcare Big Data Data Management Business Intelligence 98

Astera

MAY 25, 2023

Streamline your insurance processes and enhance efficiency with health data management solutions In today’s fast-paced industry, as a health insurance professional, it has become essential to leverage cutting-edge technology to stay ahead of the competition and streamline your operations.

Healthcare 40

Healthcare Documentation Data Quality Customer Experience 40

Astera

MAY 9, 2023

The Explosion in Data Volume and the Need for AI The global AI market today stands at $100 billion and is expected to grow 20-fold up to nearly two trillion dollars by 2030. This massive growth has a spillover effect on various areas, including data management.

Healthcare 40

Healthcare Retail Finance Data Quality 40

Domo

MARCH 1, 2021

. — Data for Persuasion Data literacy is critical to making data work in a way that drives better decisions and processes across your business. The post Domopalooza 2021: Top 3 Breakout Sessions in Each Track first appeared on Blog. To register for the Modern BI event of the year, go here.

Data Governance 98

Data Governance Government Healthcare Agile 98

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. Become one of our satisfied clients today!

Documentation 52

Documentation Healthcare Government Finance 52

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0, Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Data Pine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Healthcare 145

Healthcare Big Data Data Analytics Data Analytics 145

Cprime

FEBRUARY 8, 2024

– AI Upskilling is crucial for keeping pace with the rapid advancements in AI technology, ensuring that the software development teams can manage and optimize AI tools for improved efficiency and innovation. Data management and analysis: Critical, given AI’s heavy reliance on data.

Innovation 102

Innovation Healthcare Digital Data Management 102

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.

Healthcare 52

Healthcare Documentation Banking Data Quality 52

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. This technology will greatly benefit businesses dealing with large and complex data sets, such as financial institutions, healthcare organizations, and e-commerce companies.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

JULY 24, 2023

This technology has been around since the 1970s and is commonly used for exchanging purchase orders, invoices, and other business documents in various industries, including supply chain, healthcare, and more. Exploring APIs APIs revolutionized software integration and data exchange when they emerged in the 2000s.

E-Commerce 52

E-Commerce Supply Chain Documentation Healthcare 52

Astera

AUGUST 2, 2023

This innovation facilitated seamless data interchange, profoundly impacting a number of business sectors including retail, logistics, and healthcare. The Integration of Modern EDI within End-to-End Data Management Solutions The Need for Comprehensive Data Management Businesses require more than just standalone EDI solutions.

Digital Transformation 52

Digital Transformation Digital E-Commerce Supply Chain 52

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.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

MARCH 31, 2023

In today’s data-driven world, businesses rapidly generate massive amounts of data. Managing this data effectively and timely is critical for decision-making, but how can they make sense of all this data most efficiently? The answer lies in the concept of a single source of truth (SSOT).

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 52

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.

Healthcare 52

Healthcare Documentation Data Quality Data Architecture 52

Astera

OCTOBER 26, 2023

Handling Missing Data: How to Do It: Options include imputation, deletion, or using algorithms that can handle missing values. Examples & Considerations: In a healthcare dataset, missing patient data, such as blood pressure readings, may be imputed using statistical methods to maintain data completeness and integrity.

Data Quality 52

Data Quality Healthcare Retail Visualization 52

Astera

APRIL 3, 2023

This is where AI-powered document data extraction comes in, transforming the way insurers manage and process their data to meet regulatory compliance demands efficiently. In this blog, we’ll explore how AI-driven data extraction is transforming regulatory compliance and reshaping the insurance landscape.

Documentation 52

Documentation Digital Transformation Data Management Data Security 52

Astera

APRIL 23, 2024

Data that meets the requirements set by the organization is considered high-quality—it serves its intended purpose and helps in informed decision-making. Such a detailed dataset is maintained by trained data quality analysts, which is important for better decision-making and patient care.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Astera

MAY 4, 2023

AI-Generated Synthetic Data S ynthetic data is artificially generated data statistically similar to real-world information. With businesses increasingly utilizing business intelligence, leveraging synthetic data can help overcome data access challenges and privacy concerns. Sign up for a custom demo !

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

Astera

MAY 11, 2023

By analyzing customer data, financial institutions offer tailored investment advice and financial planning, elevating customer satisfaction and loyalty. Advancing Healthcare and Medical Research In the realm of healthcare, AI-driven data extraction plays a pivotal role.

Business Intelligence 40

Business Intelligence Business Intelligence Supply Chain Logistics 40

Astera

MAY 8, 2023

The Obstacles of Integrating Unstructured Data Integrating unstructured data is the most challenging task for organizations due to its diverse formats and lack of structure. Deep Learning Deep learning is a subset of machine learning that uses artificial neural networks to analyze and interpret data.

Vision 40

Vision Data Quality Big Data Healthcare 40