This contain all the information about healthcare data analyst.

1. Healthcare Data Analyst
Presented By: Mansi
UID: 21MSM3101

2. Who is Healthcare Data Analyst?
•Healthcare data analysts are professionals who apply their
specialized knowledge of data acquisition, management,
analysis, and interpretation directly to healthcare data, providing
actionable insights that physicians, clinical researchers, decision-
makers, and others can use.
•It’s a great career choice for those who want to apply healthcare
expertise in a novel and innovative way.

3. Alternate Titles or Related Job Titles
• Health Information Management Analyst
• Health care Business Analyst
• Data Integration and Reporting Analyst
• Population Health Data Analyst
• Research Data Analyst
• Healthcare Policy & Data Analyst

4. What do Healthcare Data Analysts do?
• They gather and interpret data from a variety of sources (e.g., the
electronic health record, billing claims, cost reports, and patient
satisfaction surveys) to help organizations improve the quality of
care, lower the cost of care, and enhance the patient experience.
• They are responsible for automating internal and external
reports, creating executive-level dashboards, and presenting
information to help hospital executives and others understand
the operational impact of the data.
• They provide data insights that drive clinical process
improvement, such as reducing re admissions and hospital-
acquired conditions. In addition, healthcare analysts help
insurers, vendors, and others to synthesize data that guides
decision-making for population health management, cost
containment, and quality improvement.

5. Knowledge & Skills required
› Education
• Bachelor's degree required in Health Information, Computer
Science, Statistics or equivalent related fields. Master’s degree in
Public Health, Biostatistics, or related field preferred.
• Knowledge of the Medicare and Medicaid programs is required
• Basic knowledge and understanding of statistical and research
methodology.
• Experience working with healthcare data - claims or EHR data.
• Certified Health Data Analyst (CHDA) is a credential from AHIMA
you may want to consider to put your foot in the door.

6. Skills
•Statistical tools & Query language like SQL,SAS, SPSS, MS
Excel, MS Access
•Programming language like Python, R testing
•Data Visualization tools like Tableau
•Reporting techniques
Impact and Contribution to Healthcare
•Impact to Patient care and Continuity
•Impact to clinical care and performance
•Impact to business performance and strategies
•Impact to Data Integrity

7. IMPACT TO PATIENT CARE AND CONTINUITY
• HARNESS THE POWER OF CODED DATA TO TRANSFORM UNSTRUCTURED DATA
INTO MEANINGFUL DATA TO ACHIEVE IMPROVEMENT TO HEALTHCARE DELIVERY
AND POPULATION HEALTH.
• USE OF DESCRIPTIVE AND PREDICTIVE ANALYTICS CAN HELP TO STUDY DATA
THAT ARE CAPTURED FROM SITES WITHIN THE HOSPITAL TO PREDICT AND
PERFORM PREVENTIVE ACTIONS AND REDUCE HOSPITAL ACQUIRED INFECTIONS
(HAI'S).
IMPACT TO CLINICAL CARE AND PERFORMANCE
•QUALITY IMPROVEMENT MEASURES WHEN ANALYZED FOR INTERPRETING DATA
CAN PROVIDE OUTCOMES WHICH ARE ESSENTIAL TO STUDY TRENDS IN DISEASES
AND POPULATION HEALTH.
•ANALYZED DATA IS USED BY ORGANIZATIONS TO SET POLICIES AND PROCEDURES
AND HELP RESEARCH SCIENTISTS TO FOCUS ON KEY AREAS OF IMPROVEMENTS IN
CLINICAL OUTCOMES.

8. Impact to business performance and strategies
Data warehousing unites the information required for an organization to meet their
needs for confidentiality, integrity and availability of data storage.
Predictive analytics technologies identify fraud, waste and errors or improper
payments and therefore government and private payers are using data analytics to
enhance their audits.
Impact to Data Integrity
With more data requirements by federal agencies like "meaningful use" federal
incentive programs and others, there is an immense pressure to capture data
completely, timely and accurately, thereby increasing the importance of Data Integrity
in the organization.
Data analytics depends entirely on data integrity and that can be accomplished if
data hasn’t been altered in any way. Analyzes of data can give a wrong story if it is
captured incorrectly which can cause fraud, abuse and incomplete or incorrect
patient care.