The term at-risk patient population is commonly used to refer to individuals who are more likely to develop health problems, require increased medical care, or have adverse outcomes due to factors such as age, underlying health conditions, lifestyle habits, social determinants of health, etc. Some examples of at-risk populations include:
Older adults
Individuals with chronic conditions (e.g. diabetes, heart disease)
Low-income and uninsured populations
Racial and ethnic minorities
Individuals with mental health and substance abuse issues
Women during pregnancy and postpartum
Individuals with limited access to healthcare services.
Identifying and addressing the specific needs of at-risk populations can help improve health outcomes and reduce healthcare disparities.
Vim’s solutions can help embed data such as those related to at-risk populations.
