Encounters Technical Lead

PHH Peak Health Holdings
United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Information Systems Databases Data Cleansing Data Files Data Integration Extract Transform Load (ETL) Data Transformation Data Retrieval Data Visualization Data Warehousing Electronic Data Interchange (EDI) Healthcare Effectiveness Data and Information Set
+12 more
Machine Learning Microsoft Office NoSQL Power BI SAS (Software) SQL Databases Tableau (Software) Data Processing Data Ingestion Data Analytics Data Management Tools for Reporting

Job description

Come join Peak Health to help launch a Medicare Advantage plan. We are seeking a highly skilled and experienced professional to join our organization as an Encounters Technical Lead. Reporting to the Manager, Encounters & Risk Adjustment, the Encounters Technical Lead will play a pivotal role in our organization by overseeing the technical aspects of encounters data management and analysis. This role requires a strong understanding of healthcare encounters data, as well as expertise in data integration, data modeling, and data analytics. The successful candidate will collaborate closely with cross-functional teams to ensure accurate and efficient processing of encounters data., 1. Encounter Data Management :

  • Oversee the end-to-end management of encounters data, including data ingestion, data cleansing, data transformation, and data integration. Develop and implement best practices for encounters data processing.
  • Collaborate with internal and external stakeholders to establish effective data integration processes. Coordinate with IT teams and vendors to ensure smooth and accurate data exchange between systems and platforms.
  • Design and develop encounter data models, ensuring they align with industry standards and organizational requirements. Optimize data models to support efficient data retrieval and analysis.
  • Establish monitoring mechanisms to track the performance and efficiency of encounters data processes. Identify opportunities for optimization and implement appropriate measures to enhance system performance.
  1. Technical Leadership : * Provide technical expertise and guidance in encounters data management and analysis. Set clear technical objectives and expectations, and lead by example in delivering high-quality solutions. * Ability to work collaboratively across many teams, prioritize demands from those teams, synthesize information received, and generate meaningful conclusions. * Develop and implement training programs to enhance the skills and knowledge of the team.

  2. Compliance and Reporting : * Implement quality assurance processes and conduct regular audits to ensure data accuracy and integrity. Identify and resolve data-related issues promptly, collaborating with cross-functional teams as necessary. * Utilize advanced analytics techniques to extract meaningful insights from encounter data. Work closely with analytics teams to define data requirements and support the development of analytical models and reports. * Ensure compliance with all applicable regulatory requirements, guidelines, and contractual obligations related to Encounter Submissions (837P, 837I) and Response Files (277CA, MAO-001, MAO-002, MAO-004) via CMS’ Encounter Data Processing System (EDPS). * Must possess current understanding of how compliance and quality programs such as Medicare STARS, HEDIS, and NCQA affect the Plan.

PHYSICAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  1. Working on a computer

Requirements

EDUCATION, CERTIFICATION, AND/OR LICENSURE:

  1. Bachelor’s Degree in Healthcare Administration, Business Administration, Finance, Economics, Information Systems, or a closely related field

EXPERIENCE:

  1. Four (4) years of experience in encounter data management, risk adjustment, or related field within the healthcare industry.

  2. Four (4) years of experience working with claims data to evaluate reimbursement changes, payment discrepancies, medical expense opportunities, quality outcomes and risk.

PREFERRED QUALIFICATIONS :

EDUCATION, CERTIFICATION, AND/OR LICENSURE:

  1. Master’s Degree in Healthcare Administration, Business Administration, Finance, Economics, Information Systems, or a closely related field

EXPERIENCE:

  1. Five (5) years of experience in encounter data management or related field within the healthcare industry.

  2. Strong knowledge of CMS’ Encounter Data Processing System (EDPS) data files (837P, 837I, 277CA, MAO-001, MAO-002, MAO-004)

  3. Knowledge of ICD Diagnosis, CPT, UB, HCFA coding and understanding

  4. Understanding of CMS Medicare Regulatory Reporting, 1. Strategic thinking

  5. Excellent written an oral communication

  6. Demonstrated ability to analyze complex data sets, identify patterns, and derive actionable insights. Familiarity with statistical analysis and machine learning techniques is a plus.

  7. Exceptional problem-solving and critical-thinking abilities, with a keen attention to detail. Ability to identify and resolve technical issues in a timely manner.

  8. Attention to detail

  9. Experience with Medicare and Medicaid products

  10. Working knowledge of claims, utilization management, member, and/or provider data

  11. Effective time management and organizational skills. Flexibility to adapt to changing priorities and business needs. Ability to thrive in a fast-paced and dynamic environment.

  12. Work independently as well as in a team environment

  13. Proficient with Microsoft Office

  14. Proficiency in data integration tools and techniques. Strong knowledge of database management systems (e.g., SQL, NoSQL), data modeling, ETL processes, and data warehousing concepts. Experience with data visualization and analytics tools (e.g., SAS, Tableau, Power BI) is preferred.

  15. Proven experience in leading technical projects. Strong interpersonal and communication skills to effectively collaborate with cross-functional stakeholders.

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