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Medical data analyst skills for your resume and career

Updated January 8, 2025
4 min read
Quoted experts
Abby Xin Liu Ph.D.,
Xingye Qiao Ph.D.
Below we've compiled a list of the most critical medical data analyst skills. We ranked the top skills for medical data analysts based on the percentage of resumes they appeared on. For example, 12.3% of medical data analyst resumes contained patients as a skill. Continue reading to find out what skills a medical data analyst needs to be successful in the workplace.

15 medical data analyst skills for your resume and career

1. Patients

Here's how medical data analysts use patients:
  • Analyzed medical charts of the patients for services pulled and filed records appropriate documentation available for billing
  • Assembled all medical records in chronological order for discharged patients.

2. Data Analysis

Here's how medical data analysts use data analysis:
  • Performed data analysis and processing associated with clinical research trials and study applications generated by the LifeShirt system; proprietary product/software.
  • Key Contributions: Consulting, professional development, project management, data analysis and reporting.

3. Medical Terminology

Here's how medical data analysts use medical terminology:
  • Advanced knowledge of medical terminology, anatomy and physiology.
  • Utilized medical terminology to ensure that the procedure performed matches the diagnosis given and interpreting complex medical terms into simpler ones.

4. ICD-10

Here's how medical data analysts use icd-10:
  • Abstract ICD-9, ICD-10, and CPT codes from medical records -Conduct training for other employees
  • Lead Compliance and Coding Auditor ICD-10 Certified-AAPC

5. EMR

Here's how medical data analysts use emr:
  • Streamlined office productivity and organizational processes, scheduling patient appointments and refilling patient prescriptions electronically through EMR system.
  • Provide suggestions for improving EMR functionality as it concerns appropriate coding and documentation.

6. SQL

Here's how medical data analysts use sql:
  • Supported automation job processes by configuration of ETL packages from Development environment to production in SQL server agent.
  • Design, stored procedures & vies and performance-tuning functions thorough SQL programming.

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7. Data Collection

Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Here's how medical data analysts use data collection:
  • Participated in data collection for additional special studies and Asthma, Diabetes, and Hypertension HEDIS measures.
  • Assist with data collection and preparation of report as requested.

8. Medical Data

Here's how medical data analysts use medical data:
  • Transcribed patient medical data and records for the Veteran Affairs System.
  • Entered patient's medical records into medical database.

9. Clinical Data

Here's how medical data analysts use clinical data:
  • Developed clinical data reports for the purpose of grants, various departments, clinical programs and committees, etc.
  • Organized contents of patient records in accordance with specified chart order to facilitate clinical data retrieval and billing.

10. HCC

Here's how medical data analysts use hcc:
  • Demonstrated analytical and problem-solving ability regarding barriers to receiving and validating accurate HCC information.
  • Review Medical Records for HCC'S Perform clinical reviews with knowledge of body systems, anatomy and physiology.

11. HIPAA

Here's how medical data analysts use hipaa:
  • Assisted/prepared departmental Accreditation and Compliance Reports: ACHA/STARS Report and assisted with HIPAA, ACHA, and JCAHO compliance audits.
  • Advised of HIPAA laws and acceptable medical office regulations and developed training curriculums for the Education Services department.

12. Medicaid

Here's how medical data analysts use medicaid:
  • Served as departmental liaison to internal operational committees for Medicare and Medicaid.
  • Maintain payer contract compliance following Medicare & Medicaid regulations and organizational guidelines.

13. DRG

Here's how medical data analysts use drg:
  • Used ICD9, CPT codes, DRG codes, etc.
  • Coded/abstracted inpatient, outpatient, and ER charts -Reviewed charts for DRG optimization

14. Data Entry

Data entry means entering data into a company's system with the help of a keyboard. A person responsible for entering data may also be asked to verify the authenticity of the data being entered. A person doing data entry must pay great attention to tiny details.

Here's how medical data analysts use data entry:
  • Performed data entry, verification, and corrections with appropriate due diligence and documentation.
  • Performed data entry, proofread medical transcription for accuracy and corrected as needed.

15. Epic

Epic is a private healthcare company which developed and continues to provide a software intended for healthcare professionals and the organization and management of medical records. It is by far one of the largest in its field, with over 50% of patients having a medical record present in their system. Patients, as well as clinics and various medical professionals and facilities are all able to use this system to keep medical history and information safe and easy to reach, alter, and share with the necessary people.

Here's how medical data analysts use epic:
  • Experience using EPIC electronic health record.
  • Well versed in ICD 10, CPT-4 and well acquainted with epic, 3m encoder, and meditech.
top-skills

What skills help Medical Data Analysts find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What medical data analyst skills would you recommend for someone trying to advance their career?

Abby Xin Liu Ph.D.

Assistant Professor, Pacific Lutheran University

Don't be afraid to negotiate salary offers and practice negotiation skills. Having professional licenses or certifications (cpa, cma, cfa) helps to improve salaries. Building relationships with local professionals will provide job opportunities with a higher salary.

What type of skills will young medical data analysts need?

Xingye Qiao Ph.D.Xingye Qiao Ph.D. LinkedIn profile

Associate Professor, Binghamton University

Computing skills are becoming increasingly important, as statistics embraces the data science revolution. Students need to be able to program (using R or Python or some other language), take the data from the web, reshape it, manipulate it to allow easier downstream analysis, and be able to communicate the finding professionally.

All these are, of course, on top of statistical thinking. Competitive student candidates should not only be an order-taker. They should ask hard questions and think about the data problem in the context of the environment that generates the said data. This is related to knowledge of the domains, human contexts, and all kinds of ethical considerations.
Do you want to know more?
Read more about what experts have to say about medical data analyst

List of medical data analyst skills to add to your resume

Medical data analyst skills

The most important skills for a medical data analyst resume and required skills for a medical data analyst to have include:

  • Patients
  • Data Analysis
  • Medical Terminology
  • ICD-10
  • EMR
  • SQL
  • Data Collection
  • Medical Data
  • Clinical Data
  • HCC
  • HIPAA
  • Medicaid
  • DRG
  • Data Entry
  • Epic
  • Hippa
  • EHR
  • CPT-4
  • Appeals
  • Clinical Documentation
  • Radiology
  • Extraction
  • Statistical Analysis
  • Medical Necessity
  • Facets
  • PCP
  • SAS
  • Bundling
  • FDA
  • Medical Billing
  • Medical Charts
  • QC
  • Medical Facilities
  • Health Plan
  • Patient Accounts
  • Medical Claims
  • Diagnosis Codes
  • EDI
  • E/M
  • ICD-9-CM
  • Insurance Claims
  • Patient Charts
  • Fee Schedules
  • EOB
  • Critical Care

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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