Top Four Reasons You Need Accurate Data Mapping: 1. Enhance Quality of Care. 2. Improve Patient Outcomes. 3. Make Effective Data-Driven Decisions. 4. Keep Providers Happy. Learn more about Aesto's data mapping services: https://zurl.co/8JFe
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Top Four Reasons You Need Accurate Data Mapping: 1. Enhance Quality of Care. 2. Improve Patient Outcomes. 3. Make Effective Data-Driven Decisions. 4. Keep Providers Happy. Learn more about why you need accurate data mapping: https://zurl.co/fdNk
Overcoming Data Mapping Challenges in EHR Migrations
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Unveiling the blueprint to seamless healthcare data management! Discover how the FHIR Data Model revolutionizes data interoperability, ensuring secure, efficient information exchange across diverse healthcare systems. Dive into an insightful read that deciphers the FHIR framework, illustrating its pivotal role in advancing patient-centered care and operational efficacy.
Harnessing the Potential of Healthcare Data: An In-Depth Look at the FHIR Data Model
https://relevant.software
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One important aim of the 21st Century Cures Act is to establish a standardized data set of patient information that is required to be shared between providers and with patients. In this blog, we dig into the latest version of the #USCDI (V4), and what it means in regard to the #CuresAct. https://lnkd.in/gdfvNMZv
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Executive Recruiter at NTT DATA Services | Recruiting Sales Executives & Client Executives in Healthcare Provider space | IT Consulting
Check out the latest whitepaper from #nttdata surrounding using good data in the healthcare market to use for better patient outcomes. #data #analytics #healthcare #datadriveninsights
Imagine that you are a healthcare executive who wants to reduce mortality from sepsis at a local hospital. Sounds straightforward enough, right? Just gather data from patients diagnosed with sepsis. Unfortunately, things are not that simple. Making good decisions in these situations requires high-quality data. However, the data is often flawed, such as having inconsistently defined terms. To learn more about how data loses its integrity and how to better handle operational data taken in medical settings, check out the whitepaper below: https://bit.ly/3rDQQzL
NTT DATA Services POV: Data-Driven Healthcare: Building Trust and Gaining Insight
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Imagine that you are a healthcare executive who wants to reduce mortality from sepsis at a local hospital. Sounds straightforward enough, right? Just gather data from patients diagnosed with sepsis. Unfortunately, things are not that simple. Making good decisions in these situations requires high-quality data. However, the data is often flawed, such as having inconsistently defined terms. To learn more about how data loses its integrity and how to better handle operational data taken in medical settings, check out the whitepaper below: https://bit.ly/3rDQQzL
NTT DATA Services POV: Data-Driven Healthcare: Building Trust and Gaining Insight
us.nttdata.com
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+1 Rob : ALL Insights GenAI or otherwise, start with and cannot exceed the value of your data. Talk to NTT DATA to ensure you have optimized, normalized, enriched data for your outcome based requirements.
Imagine that you are a healthcare executive who wants to reduce mortality from sepsis at a local hospital. Sounds straightforward enough, right? Just gather data from patients diagnosed with sepsis. Unfortunately, things are not that simple. Making good decisions in these situations requires high-quality data. However, the data is often flawed, such as having inconsistently defined terms. To learn more about how data loses its integrity and how to better handle operational data taken in medical settings, check out the whitepaper below: https://bit.ly/3rDQQzL
NTT DATA Services POV: Data-Driven Healthcare: Building Trust and Gaining Insight
us.nttdata.com
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90% of healthcare organizations now have patient portals and 84% of physicians offer virtual visits. Data management has never been more important in keeping patient data secure and reliable. Learn how CIO’s can play a key part in tackling the challenge: https://lnkd.in/g42qF65S
Data Management Challenges in Healthcare: CIOs Must Act Now
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Duplicate patient records are a common occurrence in healthcare data. FHIR attempts to address this by providing a detailed spec for how to implement the Patient $merge operation. If you haven’t looked into this yet, it probably means your FHIR project is still early stage. There is simply no way to avoid duplicate patient records in real world scenarios. Examples of why duplicate patient records might exist: - Combining multiple datasets - Emergency admissions, where patient details might be incomplete - User error, name changes, misspellings, etc. Support for advanced FHIR operations across the various FHIR server providers is weak. Users are often left to “roll their own”. I have yet to find a server provider that supports /Patient/$merge out-of-the-box. The $merge operation accepts two Patient resources: - The Source — the old Patient about to be merged. - The Target — the new or “primary” Patient resource. The merge process updates the Patient.link element of both resources. The Source Patient is given a Link.type of “replaced-by” and references the Target. The Target Patient is given a Link.type of “replaces” and references the Source. The Source Patient is then set to inactive. In some cases it may be deleted. A “housekeeping” step is then performed to update all FHIR resources that reference the Source so that they now reference the Target Patient. This process is asynchronous and may take some time, as years of data might need to be updated. During that time, results can be erratic and incomplete. What to do after the merge in the event of a GET request involving the Source Patient is very much up to the FHIR server. - Return the inactive Source Patient - Return the Target Patient - Return both The FHIR documentation in this area is comprehensive, but does raise a lot of questions that need to be addressed during implementation. https://lnkd.in/gnyw6AGw A final word of caution. How /Patient/$merge is implemented is as much a business decision as it is a technical decision. Don’t let your devs have free reign on this one!
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Unlock the future of healthcare with KiviCare's EHR system. Learn how it simplifies patient data management and elevates patient care in the digital age. link:- https://bit.ly/40tjqRW #patientdatamanagement #ElectronicHealthRecordsystem #ClinicandPatientManagementSystem #EHRsystems #CompleteClinicmanagementsolution #EHRManagementSystemforWordPress
Efficient Patient Data Management with KiviCare’s EHR System
https://kivicare.io
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Making the switch to a new EHR system? Read our Blog to know what to expect when migrating your data. https://lnkd.in/gm_bsB3d
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