Patient Identity Resolution Statistics


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Patient Identity Resolution Statistics 2023: Facts about Patient Identity Resolution outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Patient Identity Resolution, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

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Top Patient Identity Resolution Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 18 Patient Identity Resolution Statistics on this page 🙂

Patient Identity Resolution “Latest” Statistics

  • NBCUniversal reduced costs by up to 40% over the traditional system by using Neptune to tailor content experiences for its consumers.[1]
  • The consolidation rate is 20% if you ingest 100 source records and produce 80 unified profiles.[2]
  • Despite the significance of correct data, just 14% of respondents said their patient identification management systems’ current level of accuracy left them highly happy.[3]
  • 72% of respondents expressed worry or serious concern about how erroneous compartmentalized personal data affected both the bottom line and the quality of treatment.[3]
  • Digital transformation projects are respondents’ second highest priority behind patient satisfaction, with 86% of respondents saying the pandemic has accelerated the need for digital solutions to both attract and retain patients.[3]
  • According to Clay Ritchey, CEO of Verato, in an email, the majority of identity resolution algorithms only have an accuracy rate of around 65%, which indicates that about half of an organization’s patient data may be incorrectly duplicated or fragmented.[3]
  • 92% of respondents said that social determinants of health are crucial for achieving analytical objectives.[3]
  • 60% of respondents said that patient identification data is crucial for all organizational operations and projects.[3]
  • Basic or built-in identification resolution software only achieves a 65% accuracy rate, which is not acceptable, particularly when patient care is at stake.[3]
  • Health systems ranked enhancing patient satisfaction levels as the top strategic priority (42%), and efforts are concerned with resilience, manpower shortages, and digital transformation (37%)[3]
  • Although 76% of customers want firms to understand them and their requirements, 51% of respondents to Salesforce claim that source.[4]
  • According to McKinsey, a fundamental shift in perspective toward the customer and improvements in operations and IT may result in a 20%–30% increase in customer satisfaction.[5]
  • IHDE achieved its objective of ensuring a clinical data repository that is more than 99% clean, which is essential for attaining patient safety, data integrity, security, and interoperability.[6]
  • The HIEs MPI technology decreased IHDE’s identified duplication rate to less than 1%.[6]
  • The shift from prevalent desktop and mobile identifiers to a more privacy-focused approach is crucial since U.S. programmatic display ad expenditure is predicted to reach $123 billion in 2022.[7]
  • In a pool of many patients with fewer data items, an algorithm that produces near 100% matching in a pool of few patients with numerous data elements may perform less correctly.[8]
  • More and more people are using EHRs to create electronic healthcare data; in the U.S., 72% of doctors who practice in offices currently make use of an EHR.[8]
  • Almost 11,000 new patient records were added to the register as a consequence of the immediate processing of 95% of the held data and the removal of those records from the holding category.[8]

Also Read

How Useful is Patient Identity Resolution

At its core, patient identity resolution is the process of accurately matching a person’s medical records and health information across different systems and databases. This may seem like a simple task, but in reality, it can be incredibly complex and challenging. With the increase in electronic health records and digital information sharing, the need for accurate patient identity resolution has never been greater.

One of the main reasons why patient identity resolution is so important is because it helps prevent medical errors and ensures that patients receive appropriate treatment. When patient records are not accurately matched, there is a risk of misdiagnosis, wrong medication orders, and treatment delays. These errors can have serious consequences for patients, leading to unnecessary harm and potentially life-threatening situations.

In addition to improving patient safety, effective patient identity resolution also has the potential to increase efficiency within healthcare systems. When healthcare providers can easily access accurate and up-to-date patient information, they can make more informed decisions and provide better care. This not only benefits patients but also helps healthcare organizations streamline their operations and reduce waste.

Furthermore, patient identity resolution plays a critical role in advancing medical research and innovation. By ensuring that patient data is linked accurately and securely, researchers can better track outcomes, identify trends, and develop new treatments. This has the potential to improve patient outcomes, enhance the quality of care, and drive advancements in healthcare technology.

Despite its importance, patient identity resolution is not without its challenges. Healthcare organizations must contend with issues such as duplicate records, outdated information, and discrepancies in patient demographics. These challenges can make it difficult to accurately match patient data and create barriers to seamless information sharing within and across healthcare systems.

To address these challenges, healthcare providers need to invest in robust patient identity resolution solutions that leverage advanced technology and data analytics. By implementing innovative tools and strategies, healthcare organizations can improve the accuracy and efficiency of patient data matching, reduce errors, and enhance patient care.

In conclusion, patient identity resolution is a critical component of healthcare that is often overlooked but plays a vital role in ensuring patient safety, enhancing care quality, and driving innovation. As healthcare systems continue to evolve and become increasingly digitized, the need for accurate patient data matching will only grow. By prioritizing patient identity resolution and investing in the right technology and processes, healthcare providers can build a foundation for better patient outcomes and a more efficient, effective healthcare system.

Reference


  1. amazon – https://aws.amazon.com/blogs/database/building-a-customer-identity-graph-with-amazon-neptune/
  2. salesforce – https://help.salesforce.com/s/articleView?id=sf.c360_a_resolution_summary.htm&type=5&language=en_US
  3. medcitynews – https://medcitynews.com/2022/02/survey-finds-execs-aware-and-concerned-about-rampant-patient-data-inaccuracies/
  4. segment – https://segment.com/blog/identity-resolution/
  5. towardsdatascience – https://towardsdatascience.com/an-introduction-to-entity-resolution-needs-and-challenges-97fba052dde5
  6. healthcareitnews – https://www.healthcareitnews.com/news/idaho-hie-reduces-duplication-rate-less-1-mpi-tech
  7. insiderintelligence – https://www.insiderintelligence.com/content/navigating-chaos-identity-resolution
  8. nih – https://www.ncbi.nlm.nih.gov/books/NBK208618/

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