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Data quality in healthcare

Data quality is defined as the degree to which the data fulfills any intended purpose. In the healthcare industry, medical facilities effectively use data for multiple purposes, … See more

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URL: https://dataladder.com/data-quality-in-healthcare-data-systems/

Data Quality Testing – A Quick Checklist to Measure and …

WebMore than 70% of revenue leaders in an InsideView Alignment Report 2020 rank data management as the highest priority, yet, a Harvard Business Review study …

Category:  Health Go Health

Data quality in healthcare

Web38 percent of U.S. healthcare providers have incurred an adverse event within the last two years due to a patient matching issue. Access to accurate, complete, and …

Category:  Health Go Health

Building a Data Quality Team: Roles and Responsibilities …

WebThese roles are primarily focused on creating value out of data – this includes gathering the right data, performing analysis, and interpreting results to solve …

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Healthcare Data and the Fuzzy Matching Challenge

WebThe future of healthcare and patients demand attention. Data Ladder is the premier partner for healthcare and healthcare research facilities to provide the …

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How to improve data quality: Define, design, and deliver

WebThis allows every individual to understand and fulfill data quality requirements. 2. Design data quality improvement plan: The HOW. You know what clean …

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Record Linkage in Healthcare Research

WebNovember 1, 2014. Linkage of records between electronic health databases has become increasingly important to both the providers of healthcare and researchers seeking cures …

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The Importance of Data Profiling for Data Management

WebData profiling forms a crucial step for exposing the data and uncovering various anomalies that could otherwise be hidden in the form of missing, invalid, …

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The Future of Digital Healthcare

WebHealthcare has tracked along with its business counterparts through most of the digital revolution. However, they have been slow to adapt and implement digital …

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8 Principles of Data Management

WebDesigning your data management processes can be difficult since it focuses on a variety of data domains. Here, you will find out what data management principles …

Category:  Health Go Health

Guide to data survivorship: How to build the golden record

Web3. Create rules to select the best record as the golden record. For the sake of explanation, let’s say you want to compare data attributes to select the golden record. As …

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Record Linkage Software for Patient Matching Errors

WebDuplicate records cost the average hospital approximately $1.5 million. As a solution, a medical record linkage software can play an instrumental role in accurately …

Category:  Medical Go Health

Data Ladder Whitepapers Using Data Ladder's record linkage in

WebThe purpose of this quick paper is to demonstrate how Data Ladder’s DataMatch solution can be used to help federal healthcare and government-sponsored institutions to link …

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What is Data Accuracy, Why it Matters and How Companies Can …

WebInaccurate data has real-world implications across industries. In law enforcement, inaccurate data could mean booking the wrong person for a crime. In …

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Data quality dimensions – 10 metrics you should be measuring

WebA. Intrinsic data quality dimensions. These dimensions directly assess and evaluate the data value – at the granular level; its meaning, availability, domain, …

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Hard Lessons Learned in UK on Healthcare Data Strategies

WebDuring the past year, the National Health Service (NHS) in the United Kingdom failed terribly when attempting to roll out aggressive data management …

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Speed is the Key to Success for Healthcare Software Company

Webwww.DataLadder.com [email protected] 1-866-557-8102 About Us Data Ladder, headquartered in Cambridge, Massachusetts, is a data quality and cleansing company …

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DataMatch Enterprise

WebThe most important part of a data quality process is identifying potential problems in your organizational data.DataMatch Enterprise comes with an out-of-the-box profiling tool that …

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