All about becoming a health data analyst

Health data analysts are making a huge difference in improving modern treatments. From reducing healthcare costs to the smooth running of a medical process, including the development and discovery of new drugs, they are involved.

Let’s take a look at what a healthcare data analyst provides.

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What Does a Health Data Analyst Do?

Health data analysts help improve an organization’s system through the collection and interpretation of data using electronic health records, patient satisfaction surveys, cost reports and of billing complaints.

They are also referred to as health business analysts or health information management (HIM) analysts.

How an organization improves the quality of care, the cost of care and improving the patient experience depends on the data collected by an analyst. They are essential to the development of a business because they provide data and information on where and what an organization needs to focus on.

What is the role of data analytics in healthcare?

health data analyst

Data analytics in healthcare supports process learning and analysis of historical and current trends and data to further improve a business. This business area covers all angles, from macro level to micro level. Overall, it contributes to the improvement of healthcare through the data researched and analyzed.

In addition to this, data analysis is essential for healthcare to reduce treatment costs, predict epidemics, prevent disease, and improve the quality of care for patients.

Here are some practical examples of using data analytics in healthcare:

1. Predict epidemics

The power of data analysis helps physicians and hospitals prepare for epidemics by predicting trends in the spread of disease.

A Harvard report revealed how the Centers for Disease Control and Prevention (CDC) has collected data on influenza cases over the past decade and how doctors prepare for and adapt to it each year, especially during flu season.

With the COVID-19 pandemic occurring, analysis of the data is helping to predict which cases hospitals and governments need to prepare.

2. Detect anomalies

Data analysis can detect anomalies in analyzes using machine learning algorithms.

Researchers at the Massachusetts Institute of Technology (MIT) in 2018 created data reading technologies that can read MRIs and other 3D images. The data collected saves time and provides accurate readings.

However, relying too much on machine algorithms worries some scientists. Quoting that there still has to be some human contact when it comes to processing this data. This is where analysts come in.

“Without human thought and guidance throughout the process, none of these seemingly fantastic machine learning applications would be possible,” said Dustin Tingley, professor at Harvard.

3. Data for practitioner assessment

The data collected to assess practitioners is used through data analysis. This improves the process of an organization and improves the development of professionals through the feedback collected.

This example was proven in a study conducted by Dr. Helen Reiss. She let patients rate doctors on their empathy during exams as a controlled test. Half of the doctors received empathy training after the initial test. Those who were trained were given a higher rating for empathy in the second round of assessment, proving how training can increase a physician’s empathy. The absence of this trait relates to fewer malpractice claims and improvements in patient safety.

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How to become a health data analyst? What are the best skills needed to be one?

health data analyst working late at night

Data analysis is crucial in healthcare, and knowing these traits and knowledge on how to become one is important, especially for those interested in this area of ​​work.

1. Data analysis

The most important skill is having the ability to read, analyze and take action on the data collected. There can be a lot of information produced in healthcare, and being able to manage and analyze each carefully can mean improvements in a medical facility and its organization.

Strong knowledge of how a system works – in this case healthcare – is required in data analysis.

2. Business intelligence

Besides knowing how things work in a certain area, knowing the company behind it is also crucial for making decisions, as one step can affect an entire organization.

3. Export, transport, load

Exporting, transporting, loading (ETL) or transferring data is a critical skill that healthcare data analysts should know.

Transferring the patient record and loading it with other data processing machines such as a costing system is an essential skill for integrated data that other departments can understand.

4. Structured Query Language (SQL)

Data analysts need to know how to manipulate and communicate with databases through SQL. This skill will help with automation and accurate data collection.

5. Interpretation

Interpreting data is one of the main skills that an analyst should have. The information gathered will be used by other members of the organization, such as doctors and other experts.

Data Analyst jobs

Here are some job postings for healthcare data analysts:

1. Senior Clinical Data Analyst

Arcus Biosciences, Inc. is seeking a Senior Clinical Data Analyst to conduct research and clinical data. The candidate’s responsibilities include creating responsive analytics, visual data displays and dashboards from various types of data to facilitate internal data consumption and decision making.

Arcus Biosciences is an oncology-focused biopharmaceutical company researching the best therapies for cancer.

2. Senior Data Analyst

Visby Medical is seeking a Senior Data Analyst in Bioinformatics and Biostatistics. The candidate should be responsible for the visualization and analysis of laboratory data. He / she must maintain and build a data management and reporting system.

Visby Medical is a molecular diagnostics company with a mission to deliver diagnostic tests to people anytime, anywhere.

3. Senior Data Analyst

AbbVie is looking for a Senior Data Analyst specializing in Business Intelligence. The candidate will work with company executives to answer analytical questions and test hypotheses to drive company performance.

AbbVie is one of the world’s largest pharmaceutical companies with a mission to discover and deliver new drugs that solve the biggest medical challenges people face today.

Learning the tricks of the trade to become the best healthcare data analyst includes a willingness to learn and familiarity with a difficult area of ​​medicine. But with the skills listed above in mind, mastering them can lead you to excel at this area.

Sean N. Ayres