Drug Interaction Prediction

Drug Interaction Prediction

Drug Interaction Prediction

Prior to beginning work on this assignment,

Researchers, managers, and CEOs of healthcare organizations use predictive analytics to determine the application of information gleaned from data and the best practices to implement. In other words, predictive analytics aids in decision making processes associated with, “what to do next.” Using historical data to predict future trends in administrative and clinical care provides management with the best possible solutions during abrupt and long-term decision-making processes. During the strategic planning process, organizations use descriptive analytics, but predictive analytics are important during the strategic planning amendment processes.

Regression analysis is one of the most used tools for predictive analytics. This allows researchers to determine relationships between variables using a mathematical equation that predicts possible outcomes when/if variables change. Singular linear regression is expressed by two variables and multiple regression is expressed by three or more variables.

For this week’s assignment, you are tasked with researching predictive analytics and its application to the healthcare delivery system.

Example Topics: (Note: you may choose another topic not listed)

  • Financial forecasting
  • Improving patient engagement
  • Enhancing cybersecurity
  • Preventing readmissions
  • Managing population health
  • Staffing needs
  • Early detection of drug interactions
  • Likelihood of patients returning after a surgery
  • Number of patients that do not show for appointments.
  • Patient responses to various treatments

In your paper, The topic I chose is Early detection of drug interactions

  • Explain why predictive analytics could be applied to your chosen topic and what could be accomplished.
  • Describe what comes next and provide a detailed action plan with the methodology used, such as data mining, statistics, or artificial intelligence.
  • Define any ethical and legal consequences regarding the use of data mining, statistics, or artificial intelligence.
  • Describe four possible benefits of applying predictive analysis to your chosen topic. Examples might be cost reduction, improved positive patient outcomes, and acquiring new patients.
  • Analyze two pros and two cons associated with the application of predictive analytics in the healthcare delivery system.
  • Explain how predictive analytics provides applicable data during a healthcare organization’s strategic planning process.

Drug Interaction Prediction

Check our essay writing services here

APA

Drug Interaction Prediction

The Applications of Predictive Analytics within Strategic Planning Processes paper

Drug Interaction Prediction