Management
Basic Statistical and Math Concepts
Complete the worksheet.
Reference: Ch. 1 and Ch. 2 of Statistics and Data Analytics for Health Data Management
Part A
Statistical Terms
Select an additional 3 terms from the list of statistical terms below. You will research the term using your textbook or internet sources, provide a definition of the term in your own words, and illustrate a scenario that shows how this term applies to health care or is used by a health care manager.
- Data analytics
- Descriptive statistics
- Inferential statistics
- Population
- Primary data
- Secondary data
- Quantitative data
- Qualitative data
- Sample
- Variable
- Data quality
| Statistical term | Definition of term in your own words (15 to 45 words) | Illustrate a scenario in how this term applies to health care or is used by a health care manager (15 to 75 words) |
| Data mapping | ||
| Data scrubbing | ||
| 3. | ||
| 4. | ||
| 5. |
*Remember to review all terms found in your textbook this week as this worksheet does not cover all terms presented in the textbook.
Mathematical Terms
Select an additional 3 terms from the list of mathematical terms below. You will research the terms using your textbook or internet sources, provide a definition of the term in your own words, and illustrate a scenario that shows how this term applies to health care or is used by a health care manager.
- Quotient
- Ratio
- Rate
- Proportion
- Frequencies
- Frequency distributions
- Outliers
- Interquartile range
- Variance
- Standard deviation
| Statistical term | Definition of term in your own words (15 to 45 words) | Illustrate a scenario in how this term applies to health care or is used by a health care manager (15 to 75 words) |
| Frequency distributions | ||
| Variance | ||
*Remember to review all terms found in your textbook this week as this worksheet does not cover all terms presented in the textbook.
Part B
Review the table provided on the admission and discharge rates from a local hospital within a 24-hour period.
Admission and Discharge Rates for Local Hospital (24-hour period)
| Admissions and discharges in hospital | Jan. 1, 2017 | Jan. 2, 2017 | Jan. 3, 2017 |
| Admissions | 896 | 649 | 1,503 |
| Discharges | 764 | 543 | 672 |
Answer the prompts using the table provided.
- Identify the information above that represents a data set. How do you know this a data set?
- Identify the information above that represents a database. How do you know this is a database?
- What was the discharge rate for Jan. 2, 2017?
- What was the admission rate for Jan. 3, 2017?
- Which day had the highest percent of patients discharged within the 24-hour period?
Cite any resources used other than the chart above.
Save the completed worksheet (Part A and Part B) as a Microsoft® Word document with your name in the file name.
Submit your assignment.
ANSWER
Basic Statistical and Math Concepts
Part A
Statistical Terms
| Statistical term | Definition of term | Scenario |
| Data mapping | Data mapping entails matching fields from one database to the other. This facilitates data integration, data migration as well as other data management tasks. | Data mapping in healthcare is used to collect and combine healthcare data from systems such as EHR, EMR as well as other data sources (Gupta, Kumar and Sharma, 2011). The combined data can be utilized in healthcare analytics, forecasting and case studies by the healthcare managers. |
| Data scrubbing | Data scrubbing is considered as an error correction method that is used in inspecting the memory and storage errors and correct the detected errors through the use of redundant data. | Data scrubbing is used in healthcare to correct wrong data, inaccurate or corrupt data. This is an effective method of reducing the medical and healthcare errors within the organization. |
| Data Analytics | Data analytics entails analyzing raw data in order to make conclusions regarding the information (Gupta, Kumar and Sharma, 2011). | The processes and techniques have been automated to track health performance, practitioner performance as well as track the health of populations as well as those at risk of chronic diseases. |
| Sample | Sample is a group of objects, people and items that have been taken from a large population to help in generalizing studies. | In healthcare research, samples are used to represent the entire population without errors Alkhatib, Talaei-Khoei and Ghapanchi, 2016). A health research may decide to study the hospital acquired infections but cannot use the larger population. The sample enables the study of a smaller group of people from the larger patient population. |
| Primary Data | Primary data entails a type of data that is collected directly from the main sources through surveys, interviews and experiments. Primary data is obtained from where the data originally comes from and is considered the best form of data. | Primary data from the patients offers a deeper insight into the conditions of the patient. Therefore, this creates a holistic perception of the patient, personalize the treatments as well as quality care measures. |
Mathematical Terms
| Statistical term | Definition of term | Scenario |
| Frequency distributions | Frequency distribution entails representation of data in either tabular or graphical format that shows the number of observations in a certain interval. | Frequency distributions have been used to prevent medication errors since it clearly identifies events that have the greatest frequency thus directing quality improvement efforts. |
| Variance | Variance entails statistical measurement of the spread between the numbers in a data set. This measures how far each number is from the mean and every other in the set. | Healthcare organizations often utilizes variance analysis to explain variation between the actual and planned costs. |
| Quotient | Quotient is the number that results from the division of one number with the other. | Health quotient has been used to measure an individual’s overall wellness and health issues. The health quotient assessment evaluates the individual health factors such as medical history and lifestyle. |
| Standard deviation | Standard Deviation entails the degree of how spread out the numbers are. | Standard deviation is used in most healthcare data analysis to measure variation or dispersion around a certain average such as evidence based health-care. |
| Ratio | Ratio is the number of times something is compared to another. This allows comparison of one number to the other. | Nurses administer medication to patients through the help of rations. The size of the person helps in deciding how much dosage the patient body can handle without leading to serious complications. |
Part B
Admission and Discharge Rates for Local Hospital (24-hour period)
| Admissions and discharges in hospital | Jan. 1, 2017 | Jan. 2, 2017 | Jan. 3, 2017 |
| Admissions | 896 | 649 | 1,503 |
| Discharges | 764 | 543 | 672 |
Answer the prompts using the table provided.
- Identify the information above that represents a data set. How do you know this a data set?
The data set above represents admission and discharge rates for local hospital within a period of 24 hours. The information is a data set since it is an ordered collection of data related to a particular subject.
- Identify the information above that represents a database. How do you know this is a database?
The admission and discharge rates represent a database. A database is an organized collection of data that makes data reading and management easy. The data has been collected from a local hospital and stored in database.
- What was the discharge rate for Jan. 2, 2017?
543 discharges
- What was the admission rate for Jan. 3, 2017?
1,503 admissions
- Which day had the highest percent of patients discharged within the 24-hour period?
January 1, 2017
References
Alkhatib, M., Talaei-Khoei, A., & Ghapanchi, A. (2016). Analysis of research in healthcare data analytics. arXiv preprint arXiv:1606.01354.
Gupta, S., Kumar, D., & Sharma, A. (2011). Performance analysis of various data mining classification techniques on healthcare data. International journal of computer science & Information Technology (IJCSIT), 3(4), 155-169.
