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Ehr Data Integrity Spec Jobs (NOW HIRING)

... integrity, accessibility, and usability of clinical data. Key Responsibilities: * Lead the design, development, and optimization of clinical systems and data solutions, including EHR platforms and ...

Data Analyst

Bridgeton, NJ · On-site

$150K/yr

... integrity, accessibility, and usability of clinical data. Key Responsibilities: * Lead the design, development, and optimization of clinical systems and data solutions, including EHR platforms and ...

Serves as EHR administrator * Generates required data reporting for compliance adherence ... Conducts regular best practice quality assurance activities evaluating data integrity, identifying ...

EHR Systems Engineer

Lawrenceburg, IN · On-site

$157K - $186K/yr

Experience validating backend data integrity * Understanding of EHR systems and healthcare ... workflows * Knowledge of HIPAA and healthcare data compliance standards Professional Skills

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Ehr Data Integrity Spec information

What is the difference between Ehr Data Integrity Spec vs Ehr Data Analyst?

AspectEhr Data Integrity SpecEhr Data Analyst
CredentialsTypically requires healthcare IT certifications, data management trainingOften requires data analysis or healthcare informatics degrees
Work EnvironmentHealthcare facilities, IT departments, EHR system teamsHealthcare organizations, data teams, reporting departments
Employer & Industry UsageUsed in hospitals, clinics, healthcare IT companiesEmployed in healthcare, insurance, and health data analysis sectors

The Ehr Data Integrity Spec focuses on maintaining the accuracy and security of EHR data, ensuring compliance with standards. In contrast, the Ehr Data Analyst primarily analyzes healthcare data to generate insights and reports. While both roles require healthcare IT knowledge, the Integrity Specialist emphasizes data quality and security, whereas the Analyst emphasizes data interpretation and reporting.

What are some common challenges faced by EHR Data Integrity Specialists and how can they effectively address them?

EHR Data Integrity Specialists often encounter challenges such as identifying and correcting data discrepancies, ensuring consistent data entry across multiple systems, and maintaining compliance with regulatory standards. These professionals must stay vigilant for duplicate records, missing information, or incorrect data, which can impact patient care and reporting. Effective communication with clinical and IT teams is crucial to quickly resolve issues and implement best practices for data accuracy. Staying updated on evolving healthcare regulations and participating in ongoing training also helps address these challenges proactively.

What are the 4 types of data integrity?

In the context of an EHR Data Integrity Specialist role, the four types of data integrity are physical integrity, which ensures data is protected from physical damage; logical integrity, which maintains data accuracy and consistency; referential integrity, which ensures relationships between data are valid; and data integrity during transmission, which safeguards data as it moves across systems. Maintaining these types is essential for accurate, reliable healthcare data management and compliance with industry standards.

What do data integrity specialist do?

A data integrity specialist ensures the accuracy, consistency, and reliability of data within an organization. They develop and implement data validation processes, perform audits, and use tools like database management systems to maintain high data quality standards.

How much does a data integrity analyst make?

A data integrity analyst typically earns between $50,000 and $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher salaries. The role often requires proficiency with database tools and attention to data accuracy.

What are the key skills and qualifications needed to thrive as an EHR Data Integrity Specialist, and why are they important?

To thrive as an EHR Data Integrity Specialist, you need a strong background in health information management, data analysis, and a thorough understanding of medical terminology, often supported by a relevant associate or bachelor's degree. Familiarity with electronic health record (EHR) systems like Epic or Cerner, as well as knowledge of data quality tools and regulatory standards such as HIPAA, is essential. Exceptional attention to detail, problem-solving abilities, and effective communication skills help ensure accuracy and facilitate collaboration with clinical and IT teams. These skills are crucial for maintaining accurate patient records, supporting compliance, and ensuring the reliability of critical healthcare data.

How much does a data integrity specialist make?

A data integrity specialist typically earns an average salary ranging from $50,000 to $80,000 annually, depending on experience, location, and certifications. At hospitals and healthcare organizations, including roles like Ehr Data Integrity Specialist, salaries may vary based on the complexity of data systems and required technical skills.

What is an EHR Data Integrity Specialist?

An EHR Data Integrity Specialist is a professional responsible for ensuring the accuracy, consistency, and reliability of electronic health record (EHR) data within healthcare organizations. They review, audit, and correct patient records, monitor data entry processes, and implement best practices to maintain high data quality standards. Their work supports patient safety, regulatory compliance, and effective clinical decision-making by making sure that all health information is complete and correct.
More about Ehr Data Integrity Spec jobs
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Infographic showing various Ehr Data Integrity Spec job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Architect (Independent consultants)

Data Architect (Independent consultants)

HR Pundits

Philadelphia, PA • Hybrid

$64.25 - $82.75/hr

Other

Posted 4 days ago


Job description

The ideal Data Architect candidate will have deep expertise in the healthcare payer domain, with strong knowledge of interoperability standards (FHIR, HL7, USCDI-US Core) and cloud-native data architecture. Hands-on proficiency in Databricks, Azure, and data modeling (especially dimensional modeling) is essential. The candidate should be able to work independently, collaborate effectively with business teams and senior data architects, and develop scalable solutions.

Working mode: This role follows a hybrid model, requiring 3 days onsite in the Philadelphia (PHL) area.

Skill Grid:

Mandatory (must-have) skills are highlighted in yellow. The others are related areas and considered good-to-have tool skills.

Skill Area

JD Requirement

Details

Core Experience

Data Architecture

10+ years, preferably in healthcare; end-to-end data processing.

Healthcare Domain

Healthcare data expertise

Payor ( strong expertise is needed), Clinical, Claims, Member, Provider, EHR data models

Interoperability Standards

FHIR, HL7, USCDI-US Core

Experience with HEDIS, CMS interoperability, CCDs, HIE

Cloud Platforms

Azure, AWS, Google Cloud Platform, Databricks, Snowflake

5+ years designing/solutioning cloud data platforms. Hands on Azure and Databricks are mandatory

Data Modeling

Dimensional modeling

Tools like Erwin; healthcare-specific requirements

Leadership & Collaboration

Independent thought leader

Ability to self-direct, collaborate with analysts, scientists, IT, business leaders and develop solutions.

Databases

SQL & NoSQL

Proficiency in SQL, NoSQL, PySpark, Python

Integration Tools

ADF, Databricks, Kafka, Informatica, IBM DataStage

Hands-on experience with modern ETL/ELT tools

Governance & Compliance

HIPAA, GDPR, Data Governance

Policies for integrity, quality, security, compliance

BI & Analytics

BI platforms

Understanding of BI/analytics platforms

Preferred Qualifications

Healthcare systems & large-scale data

5+ years managing large-scale healthcare data systems; Epic/Cerner experience is a plus