HIM Data Integrity Analyst (H)

The University of Miami/UHealth Department Health Information Management has an exciting opportunity for a full‑time HIM Data Integrity Analyst to work in Miami, FL. The HIM Data Integrity Analyst evaluates the authenticity of data within the electronic medical record system to facilitate accurate patient matching and the synchronization of information flow to other indices and third‑party ancillary systems that support patient care, treatment, and services. Core Job Functions Use current best practice and policy guidance to implement appropriate and accurate patient identification and matching practices. Identify points in patient identification and data collection processes where patients and consumers input health information contributing to the accuracy, validity, and currency of electronic medical record information (e.g., kiosk and patient portals/apps, questionnaires, documentation uploads). Apply guidance and best practices for the collection and management of patient demographic data such as name, sex, gender, date of birth, and addresses for enhanced patient matching for patient services initiated through digital front door interactions such as patient portals, patient‑created records, patient‑generated attachments/photos and self‑scheduling, understanding their impact on patient matching. Use and understand algorithms (basic, intermediate, advanced, probabilistic) within the master patient index (MPI) that identify potential duplicate records to apply best practice solutions for patient matching. Apply terminology used in MPI data management (e.g., false positive, false negative, algorithm, match weight, interface engine, HL7/FHIR, etc.). Analyze key demographic data points and collection issues, including common misidentification medical record data trends (e.g., twins, siblings, parent/child, common names, minorities). Apply MPI metrics (e.g., duplicate rate, match rate, false positive rate, false negative rate, etc.). Recognize the steps associated with master patient index (MPI) data clean‑up projects and systemic impacts from a large‑scale clean‑up effort. Establish practices that ensure data quality by minimizing errors and opportunity for fraud, allowing patients access to correct data, and implementing corrective and preventive actions when errors are identified. Understand practices that ensure interoperability within and across healthcare systems to ensure patient safety and care including specifying parameters for the catalog of incoming interfaces to the MPI and initiatives that support population health. Understand the strategic impact on the use of biometrics for patient identification practices and technical strategies that can be used to accurately match a patient with their data (e.g., bar code scanning, advanced algorithms to auto match, and artificial intelligence for patient and referential matching). Complies with hospital requirements and federal regulations such as the Health Insurance Portability and Accountability Act (HIPAA), the Health Information Technology for Economic and Clinical Health Act (HITECH), the American Recovery and Reinvestment Act (ARRA), the 21st Century CURES Act and state regulations. Works closely with the HIPAA Privacy Office to ensure HIPAA compliance. Applies expert knowledge of state regulations with consideration of preemption as appropriate. Adhere to University and unit‑level policies and procedures and safeguard University assets. Department Specific Functions Review accounts in Identity work queues that capture potential duplicate pairs with more than one medical record number or medical record numbers applied to more than one patient and take appropriate action (e.g., merge the records) if validation of IDC properties confirms the patients are the same. Match a patient accurately to their records to allow for an appropriate continuum of care. Edit accounts with comments to assure synchronization of indices throughout the organization. Identify duplicate pairs that are not the same patient and take appropriate action such as to mark the pairs as known non‑duplicate (KND) or “unactionable” that will not count toward facility metrics for duplicate rate. Review accounts in Identity work queues that capture overlaid demographic entries applied to more than one patient and take appropriate action (e.g., review or edit) after validation of IDC properties and supporting documentation to confirm if demographic changes are correct. Review data received from various departments and initiate chart correction cases as appropriate for corrections, amendments and/or deletions to the legal medical record. Document facts in the chart correction case with collaboration with ancillary departments according to policy, procedure, and state guidelines. Collaborates with Information Technology, Patient Access, Central Business Office, Central insurance verification, clinical teams, faculty, and other departments as required to implement appropriate solutions for chart correction cases and analysis of inaccuracies in clinical documentation. Processes account(s) with sustained accuracy rating of 98‑100% accuracy. Maintains productivity levels as determined by departmental metrics. Completes annual and other required training in a timely manner in accordance with facility deadlines. Core Qualifications Bachelor’s Degree in related field AHIMA RHIA or RHIT Credential preferred AHIMA Microcredential Patient Identification and Matching preferred Minimum of 1 year of relevant experience Skill in completing assignments accurately and with attention to detail. Ability to analyze, organize and prioritize work under pressure while meeting deadlines. Ability to process and manage confidential information with discretion. Ability to work independently and/or in a collaborative environment. The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Job Status: Full time Employee Type: Staff Pay Grade: H6 #J-18808-Ljbffr