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Healthcare applications analyst skills for your resume and career

Updated January 8, 2025

5 min read

Quoted expert

Zachary Cohle Ph.D.

Below we've compiled a list of the most critical healthcare applications analyst skills. We ranked the top skills for healthcare applications analysts based on the percentage of resumes they appeared on. For example, 13.4% of healthcare applications analyst resumes contained sas as a skill. Continue reading to find out what skills a healthcare applications analyst needs to be successful in the workplace.

15 healthcare applications analyst skills for your resume and career

1. SAS

SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.

Here's how healthcare applications analysts use sas:

Developed routine SAS Macros to create tables, graphs and listings for inclusion in private and public hospitals study reports.
Developed SAS and SQL code to extract and analyze Medicare claims data residing in Oracle database.

2. Medicaid

Here's how healthcare applications analysts use medicaid:

Provided Subject Matter Expertise for HealthCare IT Standards in support of a contract from the Centers for Medicare and Medicaid Services.
Logged, tracked and responded to any Release of Information requests sent to Medicaid Long Term Care Department.

3. Data Analysis

Here's how healthcare applications analysts use data analysis:

Supported the successful implementation of business solutions through an integrative approach using reporting and data analysis.
Provided data analysis to support committee objectives.

4. Visualization

Here's how healthcare applications analysts use visualization:

Perform descriptive analysis, data visualization and statistical significance analysis for global student surveys * Write and present reports on analyses results
Initiated and designed dashboards locally before publishing to Tableau Server for data visualization, statistical trend analysis and KPI evaluation.

5. 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 healthcare applications analysts use epic:

Communicate with Supervisors and Managers to explain changing user credentials/access in EPIC dimensions.
Directed all phases Epic EHR Revision project for care coordination, from planning phase to end.

6. CPT

CPT is a medical term that stands for Current Procedural Terminology. Whenever a procedure like surgery or diagnosis occurs or some other medical service is rendered to a patient, it is reported to the concerned physician, insurance company, or organization. The aforementioned practice is widely referred to as CPT.

Here's how healthcare applications analysts use cpt:

Chaired the monthly medical definitions committee, reviewing use of CPT codes.
Execute policies and procedures to ensure compliance in coding of ICD-9/10, CPT, HCPC codes with improved generation of revenue.

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7. CMS

A Content Management System or CMS is computer software that works as a framework where content can be assembled and managed by using a database. CMS is an important asset in web development. This platform enables users to create, edit, collaborate on, publish and store digital content. It helps users to manage their content and modify it from a single system.

Here's how healthcare applications analysts use cms:

Validated business documentation to ensure compliance with DHS, CMS.
Participated in discussions with CMS leaders and leaders in the provider community to identify providers needing education in clinical documentation.

8. EMR

Here's how healthcare applications analysts use emr:

Conduct technical and operational readiness assessments in preparation for interface between EMR vendor and state health information exchange.
Implemented EMR with integrated ancillary functionality such as registration, scheduling and billing.

9. HIPAA

Here's how healthcare applications analysts use hipaa:

Developed a HIPAA presentation for attorneys.
Analyze HIPAA EDI transactions in X12 responses and of 837,835, 277 and 999 and looked for defects.

10. Business Processes

Here's how healthcare applications analysts use business processes:

Analyzed healthcare business processes and data to improve operations as well as create new organizational benchmarks.
Review, analyze, and evaluate business processes and associated IT application requirements.

11. 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 healthcare applications analysts use data collection:

Employed numerous data collection methodologies, including conducting surveys and coordinating all aspects of primary data collection from members and physicians.
Maintained leadership responsibility to ensure data consistency and quality across the end to end process from data collection through metric reporting.

12. SQL Server

Here's how healthcare applications analysts use sql server:

Created indexes on selective columns to speed up Queries and analyses in SQL server.
Involved in upgrading from SQL server 2005 to SQL server 2008.

13. Analyze Data

Analyze data or data analysis refers to the practice of studying, organizing, and transforming data to make it more useful. It also includes the cleansing of non-useful information which helps in better decision making regarding any particular matter. Analyze data is a practice that is used widely in the field of business, social sciences, and science.

Here's how healthcare applications analysts use analyze data:

Work on problems of diverse scope and analyze data requiring evaluation of several factors.
Analyze data and interpret legal research to make conclusions.

14. EHR

Electronic Health Records, or simply EHR, contains all the information about a patient whether they are new or old. It includes the record of diagnosis, medication, progress note, medical history, radiology, and laboratory results. A health facility or hospital has this kind of document to track a patient's record electronically.

Here's how healthcare applications analysts use ehr:

Initiate research & manage conversion plan to new billing & EHR software with automated eligibility and appointment confirmation modules.
Manage and coordinate health information technology projects for electronic health records (EHR), in physician practices.

15. DRG

Here's how healthcare applications analysts use drg:

Performed detailed audits of DRG appropriateness for medical and surgical claims, Inpatient, Rehabilitation, and acute renal failure.
Review and discuss clinical issues and documentation opportunities with coding staff to determine appropriate DRG.

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What skills help Healthcare Applications Analysts find jobs?

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What healthcare applications analyst skills would you recommend for someone trying to advance their career?

Zachary Cohle Ph.D.

Assistant Professor of Economics at Saginaw Valley State University., Saginaw Valley State University

Students should focus on their data analytic skills. With the US becoming a world leader in the AI industry, data has become extremely important. Students should learn how to manage databases, create visuals using data, and use data for prediction purposes. Additionally, keeping up with new AI tools can help increase your productivity in the workplace.

Do you want to know more?

List of healthcare applications analyst skills to add to your resume

The most important skills for a healthcare applications analyst resume and required skills for a healthcare applications analyst to have include:

SAS
Medicaid
Data Analysis
Visualization
Epic
CPT
CMS
EMR
HIPAA
Business Processes
Data Collection
SQL Server
Analyze Data
EHR
DRG
Home Health

T-SQL
Health Plan
Appeals
Financial Analysis
Data Quality
Data Warehouse
Financial Performance
SharePoint
SME
Medicare Advantage
Claims Data
Profiling
ICD-9
Health Care Data
ICD-10
Regression

User Acceptance
Business Analysis
New Database
Test Cases
EDI
Patient Care
EOB
HL7
Healthcare Sector
NCQA
Discounted Cash Flow
Bloomberg
QA
Patient Accounts

Updated January 8, 2025

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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