Using Public Data Sets Report
Introduction
The use of informatics in medicine has become an increasingly vital and advantageous practice over the last few years. As a result of the proliferation of the internet and electronic health records, medical professionals now have access to more data. They can conduct analyses with increased speed and precision. Healthcare providers may acquire valuable insights about the health of their patients as well as trends and patterns in the healthcare sector by using publicly available data sets.
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Source of Data
HealthData.gov/Datasets presents the most recent version of the COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries dataset, modified on April 27, 2022. From January 1, 2020, this dataset provides a detailed analysis of hospital use among states. The information is collected from three primary sources: HHS Tele Tracking, reporting supplied directly to HHS Protect by state/territorial health agencies, and the National Healthcare Safety Network (before July 15). The most recent numbers provided by each institution during the previous four days are included in this frequently updated dataset. The collection includes a wide range of information, including COVID-19-related hospitalizations, fatalities, and admissions for confirmed and suspected cases. It also details the A, B, and C therapeutics and the current stockpile. In addition, sections are devoted to children’s data, such as the number of children in the intensive care unit who tested positive for the COVID-19 virus. Non-response and missing data are not considered through any statistical analysis. Prioritizing individual facility numbers helps avoid filing the same report again. This information is helpful for health authorities and academics since it gives an in-depth look at hospital use across states.
Value of the Dataset
Care providers and administrators may benefit significantly from this dataset. Critical to comprehending the present situation of the health care system, it provides a nationwide picture of hospital use. Moreover, demographic information on the patients themselves, such as age, gender, and location, is included in the dataset. Healthcare policy and practice may benefit from this data’s ability to reveal underlying patterns in the industry.
Areas neglected by healthcare professionals or those with a greater frequency of specific illnesses or ailments may be identified, for instance, with this data (Mohanty et al., 2019). To guarantee that the most vulnerable people are getting proper treatment, this data may be utilized to increase access to healthcare services in these regions. The information may also examine how healthcare policies have affected hospital use and patient outcomes. Other variables, such as pediatric care, treatments, and influenza, have been added to the dataset and updated regularly. Users may then see the entire healthcare system and trace its evolution through time. The dataset also benefits from better accuracy and dependability because it was compiled using reports that included facility-level granularity from three primary sources.
When taken as a whole, the COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries dataset is a rich and valuable resource for enhancing healthcare administration and policy (Sapiano et al., 2021). It gives consumers a bird’s-eye perspective of the healthcare industry so they may see trends and make educated judgments regarding healthcare policies and procedures. The dataset is frequently updated so users can access the most recent data and conduct in-depth studies.
The following chart demonstrates the value of the COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries dataset. It displays the number of confirmed COVID-19 cases reported in the United States over time. The data clearly shows that the number of cases peaked in late 2020 and early 2021 and has been steadily decreasing since then. This data is useful for understanding the current state of the pandemic, as well as evaluating the efficacy of healthcare policies and operations. Furthermore, the data can be used to identify infection rate trends and make informed decisions about how to best respond to the pandemic.
Table 1: Total Adult Patients Hospitalized- Confirmed COVID-19 Cases
| State | Date | Total Adult Patients Hospitalized- Confirmed COVID-19 Cases |
| OK | 2/26/2021 | 599 |
| ME | 2/24/2021 | 75 |
| ND | 2/17/2021 | 79 |
| MA | 1/30/2021 | 1421 |
| ND | 1/30/2021 | 82 |
| ME | 1/29/2021 | 179 |
| PR | 1/29/2021 | 200 |
| ID | 1/23/2021 | 194 |
| SD | 1/23/2021 | 133 |
| ME | 1/22/2021 | 189 |
| RI | 1/22/2021 | 359 |
| MA | 1/21/2021 | 1801 |
| TN | 1/21/2021 | 2348 |
| MA | 1/20/2021 | 1851 |
| SD | 1/20/2021 | 173 |
| MS | 1/17/2021 | 1095 |
| DE | 1/13/2021 | 416 |
| ME | 1/13/2021 | 208 |
| RI | 1/13/2021 | 394 |
| RI | 1/10/2021 | 410 |
| KS | 1/9/2021 | 902 |
| UT | 1/8/2021 | 513 |
| PR | 1/7/2021 | 327 |
| PR | 1/6/2021 | 346 |
| RI | 1/1/2021 | 415 |
| RI | 12/31/2020 | 440 |
| KS | 12/30/2020 | 948 |
| RI | 12/30/2020 | 429 |
| OR | 12/29/2020 | 507 |
Data Trends
Many significant tendencies in hospital use, patient characteristics, and healthcare operations are documented in the COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries dataset. The research suggests that states with more populated cities, like New York and California, had higher rates of hospital usage. The data also shows an upward trend in hospital use among the elderly, especially those over 70.
The report also shows a downward trend in the supply of therapeutic therapies, such as monoclonal antibody treatments, as their demand rises. This is perhaps because the COVID-19 epidemic has raised the need for therapeutic therapies. Some variables in the dataset are unique to children, such as the number of children admitted to the hospital with a diagnosis of COVID-19. The number of patients admitted to the hospital with a confirmed case of influenza, the total number of deaths attributed to COVID-19 and influenza, and the total number of patients hospitalized with a confirmed case of influenza are just some of the new fields added to the dataset to document trends associated with this virus.
When taken as a whole, the COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries dataset provides a rich window into developments in hospital use, patient characteristics, and healthcare operations during the pandemic. A dataset is a powerful tool for analyzing the present and forecasting the future of the United States healthcare system.
Changes in Operations to Improve Quality and Efficiency
Healthcare providers have found the COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries dataset to be quite helpful in pinpointing areas where operations and policies may be modified to enhance the quality or efficiency of patient care. The dataset has helped healthcare providers to receive a complete view of hospital use within a state by providing state-aggregated data for hospital utilization in a time-series format extending back to January 1, 2020.
By collecting this information, healthcare practitioners may target their efforts where they will have the most impact on improving patients’ ability to get the treatment they need. Data has also helped healthcare practitioners determine which locations have the most demand for specific therapies and where more funding should be directed to meet that need. Healthcare professionals may now use the data to pinpoint places where specific therapies are underutilized and devote more resources to boosting those areas (Clancy et al., 2021). In addition, the information has helped healthcare professionals zero in on locations where specific therapies are underutilized and commit resources to remedy the situation. By collecting this data, hospitals and clinics have been able to target better their efforts to boost low rates of therapeutic a, b, and c course usage, for example. In addition, the information has helped healthcare providers zero in on regions with low inpatient bed use for COVID-19 and invest resources to boost that number.
By providing this data, medical professionals have also been able to pinpoint gaps in service delivery for children. For instance, the information has helped healthcare providers identify regions with insufficient pediatric inpatient beds or unstaffed pediatric intensive care unit beds and then dedicate resources to expanding pediatric bed availability in those regions. Moreover, the dataset has helped healthcare practitioners pinpoint regions with sparse information on pediatric influenza and COVID-19 infections and spend resources to track these populations better.
Lastly, the information has allowed hospitals to pinpoint regions with low influenza inpatient bed use and dedicate resources to improving that situation. The information has also allowed healthcare practitioners to pinpoint regions with disproportionately high fatalities from COVID-19 and influenza and focus efforts on reducing overall mortality rates.
Overall, The COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries dataset has helped healthcare providers improve quality and efficiency by identifying areas for improvement. By providing state-aggregated hospital use data in a time series format, the dataset has shown locations with restricted access to healthcare services, high demand for specific treatments, and underutilization of certain therapies. The collection has also enabled healthcare providers to identify places with little pediatric influenza and COVID-19 data and allocate resources to follow these groups better. The dataset has enabled healthcare workers to identify places with low influenza inpatient bed occupancy and high COVID-19 and influenza-related mortality and allocate resources appropriately.
Conclusion
Providers and administrators may benefit significantly from the data in the COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries dataset. In addition to demographic information like age and gender, it details where patients live and how often they visit the hospital around the country. Several patterns in hospital usage, patient demographics, and healthcare processes are documented in this dataset, which may be used to pinpoint opportunities to enhance the quality or efficiency of healthcare delivery. The data in this collection may help medical professionals and executives better understand their patients and the industry’s health status and guide strategic and tactical actions.
References
Clancy, C., Goodrich, K., Moody-Williams, J., Dorsey Sheares, K., O’Kane, M., Cha, S., & Agrawal, S. (2021). Quality, Safety, and Standards Organizations COVID-19 Impact Assessment: Lessons Learned and Compelling Needs. NAM Perspectives. https://doi.org/10.31478/202107d
COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries | HealthData.gov. (n.d.). Healthdata.gov. Retrieved March 20, 2023, from https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/g62h-syeh/explore
Mohanty, A., Kabi, A., & Mohanty, A. P. (2019). Health problems in healthcare workers: A review. Journal of Family Medicine and Primary Care, 8(8), 2568–2572. https://doi.org/10.4103/jfmpc.jfmpc_431_19
Sapiano, M. R. P., Dudeck, M. A., Soe, M., Edwards, J. R., O’Leary, E. N., Wu, H., Allen-Bridson, K., Amor, A., Arcement, R., Chernetsky Tejedor, S., Dantes, R., Gross, C., Haass, K., Konnor, R., Kroop, S. R., Leaptrot, D., Lemoine, K., Nkwata, A., Peterson, K., & Wattenmaker, L. (2021). Impact of coronavirus disease 2019 (COVID-19) on US Hospitals and Patients, April–July 2020. Infection Control & Hospital Epidemiology, 1–8. https://doi.org/10.1017/ice.2021.69
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Question 
Assignment Directions
This assessment directs you to analyze the uses for health data with the purpose of improving healthcare policies and operations. Raw data
doesn’t say much to most people, but through data analysis, information can be extracted and used to “tell the story” of a particular patient
Using Public Data Sets Report
population.
Select or generate a dataset that is meaningful to you and your interests in the healthcare industry by using one of the following links:
• CDC WONDER Online Databases
• HealthData.gov/Datasets
• Big Cities Health Coalition
Evaluate the dataset and determine how it is valuable for improving healthcare operations or policies. This will require the creation of a chart or
graph to interpret the data.
Write a 1,400- to 1,750-word report with your evaluation of the dataset and what value can be gained from it in which you:
• Explain the source of the data.
• Explain the value of the dataset and its importance for improving healthcare operations/policies. Include a detailed chart or graph to
interpret the data.
• Explain what trends the data documents.
• Explain what changes in operations or policies can be made to improve quality or efficiency.
Cite 3 reputable references to support your report (e.g., trade or industry publications, government or agency websites, scholarly works, or other
sources of similar quality).
Format your report according to APA guidelines.
Include a copy of the dataset along with your report.