The clinical management of postpartum hypertension remains focused on blood pressure control and primary care transition for cardiovascular disease risk reduction. In recent years, systemic innovations have improved access through implementation of new care delivery models. However, the implications of changing definitions of hypertension outside of pregnancy, increased data assessing blood pressure trajectories in the postpartum period, and the creation of new risk prediction models utilizing machine learning remain areas of ongoing research.
Keyphrases
- blood pressure
- primary care
- hypertensive patients
- healthcare
- cardiovascular disease
- machine learning
- heart rate
- quality improvement
- big data
- type diabetes
- blood glucose
- pregnant women
- preterm birth
- artificial intelligence
- general practice
- metabolic syndrome
- adipose tissue
- electronic health record
- skeletal muscle
- drug induced
- coronary artery disease
- data analysis
- chronic pain
- health insurance