Data Analysts and Data Scientists at Tenet Healthcare write SQL queries to analyze patient data for healthcare trends, helping them identify patterns in treatment outcomes and improve patient care. It is also used to manage databases to ensure accurate and efficient record-keeping, making it easier for healthcare providers to access vital information, this is why Tenet Healthcare asks jobseekers with SQL interview questions.
Thus, to help you study, here's 9 Tenet Healthcare SQL interview questions – how many can you solve?
A critical aspect for Tenet Healthcare is to identify the VIP patients, who visit and receive its healthcare services frequently over the time. Hence, the SQL question here is to write a query that provides the patients who visited any of Tenet Healthcare's facilities more than 10 times in the last 30 days.
Use the following example tables to construct your query:
visit_id | patient_id | facility_id | visit_date |
---|---|---|---|
101 | 4567 | 1001 | 2022-08-01 |
102 | 3456 | 2001 | 2022-08-01 |
103 | 4567 | 1002 | 2022-08-10 |
104 | 4567 | 3001 | 2022-08-15 |
105 | 7890 | 2002 | 2022-09-01 |
106 | 3456 | 1001 | 2022-09-01 |
107 | 7890 | 3001 | 2022-09-10 |
108 | 4567 | 2001 | 2022-09-15 |
The PostgreSQL query to solve this problem could look like this:
This query first filters out visits that occurred in the last 30 days using the clause. It then groups the remaining records by , and by using the clause, it filters out the groups that have more than 10 records - or, in other words, the VIP patients who have more than 10 visits in the last 30 days.
Please note that this is an hypothetical question, the actual data in Tenet Healthcare and the context might differ.
To practice a super-customer analysis question on DataLemur's free interactive SQL code editor, try this Microsoft SQL Interview problem:
Check out Tenet Health's press releases to stay updated on their latest developments and strategic initiatives in the healthcare industry! Following Tenet Health's news can provide insights into how they are evolving to meet the needs of patients and healthcare providers.
Suppose you had a table of Tenet Healthcare employee salary data. Write a SQL query to find the employees who earn more than their own manager.
employee_id | name | salary | department_id | manager_id |
---|---|---|---|---|
1 | Emma Thompson | 3800 | 1 | |
2 | Daniel Rodriguez | 2230 | 1 | 10 |
3 | Olivia Smith | 8000 | 1 | 8 |
4 | Noah Johnson | 6800 | 2 | 8 |
5 | Sophia Martinez | 1750 | 1 | 10 |
8 | William Davis | 7000 | 2 | NULL |
10 | James Anderson | 4000 | 1 | NULL |
employee_id | employee_name |
---|---|
3 | Olivia Smith |
This is the output because Olivia Smith earns $8,000, surpassing her manager, William Davis who earns 7,800.
You can solve this problem interactively on DataLemur:
First, we perform a SELF-JOIN where we treat the first table () as the managers' table and the second table () as the employees' table. Then we use a clause to filter the results, ensuring we only get employees whose salaries are higher than their manager's salary.
If the solution above is confusing, you can find a step-by-step solution here: Employees Earning More Than Their Boss.
A foreign key is a field in a database table that links to the primary key of another table, establishing a connection between the two tables.
To demonstrate this concept, let's analyze Tenet Healthcare's marketing analytics database which stores data from Google Ads campaigns:
ad_id | campaign_id | keyword | click_count |
---|---|---|---|
1 | 100 | Tenet Healthcare pricing | 10 |
2 | 100 | Tenet Healthcare reviews | 15 |
3 | 101 | Tenet Healthcare alternatives | 7 |
4 | 101 | buy Tenet Healthcare | 12 |
is a foreign key. It references the of the Google Ads campaign that each ad belongs to, establishing a relationship between the ads and their campaigns. This foreign key allows you to easily query the table to find out which ads belong to a specific campaign, or to find out which campaigns a specific ad belongs to.
It is also possible for a table to have multiple foreign keys that reference different primary keys in other tables. For example, the table could have additional foreign keys for the of the ad group that each ad belongs to, and the of the Google Ads account that the campaigns belong to.
In Tenet Healthcare, it is crucial to monitor the performance of doctors. Suppose there was a need to calculate the average treatment time spent by each doctor over the last six months. Let's assume the treatment start and end times are tracked in a database. Write a SQL query to find this average treatment time for each doctor using a window function. Also, the time should be segmented by month to observe any changes in performance.
Assume we have the following table, where the start and end times are represented in epoch time:
treatment_id | doctor_id | patient_id | start_time | end_time |
---|---|---|---|---|
1 | 101 | 201 | 1633046400 | 1633050000 |
2 | 101 | 202 | 1633132800 | 1633136400 |
3 | 102 | 203 | 1633219200 | 1633226400 |
4 | 102 | 204 | 1633305600 | 1633312800 |
5 | 103 | 205 | 1633392000 | 1633405600 |
This SQL block first converts the from epoch to a timestamp to extract the month. Then the difference in start and end times are averaged by each doctor for each month. When calculating the average we make use of a window function which allows us to calculate an aggregate value (in this case average) for each row of data while considering a window of related rows (in this case rows with the same and month). The final result is then sorted by and . The clause is used to ensure we are looking at data from the last six months only. Please note that the given times are in seconds, so the result will also be in seconds. You may need to convert this to a more readable format like minutes or hours depending on your requirements.
p.s. Window functions show up super often during SQL interviews, so practice the 27+ window function questions on DataLemur
In SQL, a join retrieves rows from multiple tables and combines them into a single result set.
Four JOIN types can be found in SQL. For an example of each one, suppose you had a table of Tenet Healthcare orders and Tenet Healthcare customers.
INNER JOIN: Rows from both tables are retrieved when there is a match in the shared key or keys. An between the and tables would return only rows where the in the table matches the in the table.
LEFT JOIN: A retrieves all rows from the left table (in this case, the table) and any matching rows from the right table (the table). If there is no match in the right table, values will be returned for the right table's columns.
RIGHT JOIN: A combines all rows from the right table (in this case, the table) and any matching rows from the left table (the table). If there is no match in the left table, values will be displayed for the left table's columns.
FULL OUTER JOIN: A combines all rows from both tables, regardless of whether there is a match in the shared key or keys. If there is no match, values will be displayed for the columns of the non-matching table.
Tenet Healthcare is a multinational healthcare services company based in the United States. Assume you are a data analyst at Tenet Healthcare, and you have been assigned with the task of analyzing the usage of hospital resources such as beds, medical staff, and medical equipment. The aim is to draw insights about resource optimization and improving patient care by understanding how resources are currently allocated.
Consider three tables:
department_id | name |
---|---|
1 | Cardiology |
2 | Gynecology |
3 | Dermatology |
resource_id | name |
---|---|
1 | Beds |
2 | Medical Staff |
3 | Medical Equipment |
resource_id | department_id | date | quantity |
---|---|---|---|
1 | 1 | 01/01/2020 | 10 |
1 | 2 | 01/01/2020 | 20 |
2 | 1 | 01/01/2020 | 15 |
2 | 2 | 01/01/2020 | 25 |
3 | 1 | 01/01/2020 | 5 |
The question to solve is to write an SQL query that shows the average usage of each resource by each department across the available date range.
This query first creates a join across the , , and tables connecting them on their respective id fields. Then, it calculates the average quantity used for each resource by each department by grouping by both the department name and resource name. The result of this query will give us the average usage of each resource by each department.
A is a column or set of columns in a table that references the primary key of another table. It is used to link the two tables together, and to ensure that the data in the foreign key column is valid.
The constraint helps to ensure the integrity of the data in the database by preventing the insertion of rows in the foreign key table that do not have corresponding entries in the primary key table. It also helps to enforce the relationship between the two tables, and can be used to ensure that data is not deleted from the primary key table if there are still references to it in the foreign key table.
For example, if you have a table of Tenet Healthcare customers and an orders table, the customer_id column in the orders table could be a that references the id column (which is the primary key) in the Tenet Healthcare customers table.
Assume you are given two tables, and .
The table contains information about each patient, including patient ID, their age, gender, and the date they were admitted.
The table contains details about each treatment administered. This includes the treatment ID, the patient ID (referenced from the table), the name of the treatment and the treatment cost.
Write a SQL query to obtain a list of patient IDs, their corresponding age and the total cost of all treatments they have received. This list should only contain patients who have received treatments.
patient_id | age | gender | admission_date |
---|---|---|---|
101 | 45 | Male | 2022-06-08 |
202 | 30 | Female | 2022-06-25 |
303 | 56 | Male | 2022-07-14 |
404 | 22 | Female | 2022-07-20 |
treatment_id | patient_id | treatment | cost |
---|---|---|---|
10 | 101 | Surgery | 1000 |
20 | 101 | Radiation | 700 |
30 | 202 | Chemotherapy | 1500 |
40 | 303 | Surgery | 1200 |
50 | 303 | Radiation | 800 |
patient_id | age | total_cost |
---|---|---|
101 | 45 | 1700 |
202 | 30 | 1500 |
303 | 56 | 2000 |
Here, we use a SQL JOIN to merge the and tables based on the common column (patient_id). We then group the data by patient_id and derive the total cost of all treatments per patient using the SUM function. We finally order the data by the total cost in descending order.
Since joins come up routinely during SQL interviews, try this Snapchat Join SQL question:
Given the tables and , compute the average cost per day for each department over a year. Use necessary math functions for calculations. Apply rounding to the final output. Assume the costs are yearly costs.
department_id | month | year | patient_days |
---|---|---|---|
101 | 01 | 2022 | 240 |
101 | 02 | 2022 | 220 |
201 | 01 | 2022 | 315 |
201 | 02 | 2022 | 296 |
101 | 03 | 2022 | 260 |
department_id | year | cost |
---|---|---|
101 | 2022 | 12000 |
201 | 2022 | 20000 |
department_id | year | average_cost_per_day |
---|---|---|
101 | 2022 | 40 |
201 | 2022 | 57 |
This query first joins the and tables on their common and fields. It then calculates the total for each department and year through the . The average cost per day is found by dividing the cost by the total patient days of each corresponding department and year - rounded up to 2 decimals for simplicity. It is important to cast the denominator to DECIMAL type to ensure accurate calculation. The result is grouped by and , which makes results clear and easily understandable.
To practice a very similar question try this interactive Amazon Average Review Ratings Question which is similar for its requirement of calculating averages or this Alibaba Compressed Mean Question which is similar for its need for performing mathematical operations and rounding.
Assuming that you've already got basic SQL skills, the next best tip we have to prepare for the Tenet Healthcare SQL interview is to solve as many practice SQL interview questions as you can! In addition to solving the earlier Tenet Healthcare SQL interview questions, you should also solve the 200+ SQL exercises on DataLemur which come from companies like Google, Uber, and Microsoft.
Each interview question has multiple hints, fully explained answers along with a discussion board to see how others solved it and crucially, there is an online SQL coding environment so you can easily right in the browser your SQL query answer and have it graded.
To prep for the Tenet Healthcare SQL interview you can also be wise to practice interview questions from other healthcare and pharmaceutical companies like:
In case your SQL skills are weak, don't worry about diving straight into solving questions – improve your SQL foundations with this SQL tutorial for Data Analytics.
This tutorial covers SQL concepts such as sorting data with ORDER BY and aggregate window functions – both of these come up often during SQL interviews at Tenet Healthcare.
In addition to SQL query questions, the other question categories covered in the Tenet Healthcare Data Science Interview are:
To prepare for the Tenet Healthcare Data Science interview have a strong understanding of the company's cultural values – this will be key to acing the behavioral interview. For technical interviews prepare by reading Ace the Data Science Interview. The book's got: