Question

Utilizing analytics to reduce Congestive Heart Failure readmission rates.

Answer 1

Hospital can reduce readmission rate by using data analytics to deliver preventive care, improve patient engagement, . Develop risk stratification and predictive analytics capabilities .

CHF readmission can be reduced by following measures --  

A) schedule follow up physician appointment

B) provide one to one inpatient education

C) make follow up call at 24-72 hours post discharge and again at 25- 30 days post discharge

D) promote in home follow up and teaching reinforcement with home care program

E) patient education at discharge

F) appropriate medication prescribed

G) medication  reconciliation

H) hand off communication between primary care providers and acute care facilities

Some most important ways , hospital can use to reduce congestive heart failure readmission rate --

A) Understand your current readmission rate for your heart patient

B) Establish a 30 and 90 day readmission baseline measure for heart failure patient

C) Beware of balance measures - 3 types of balance measure patient satisfaction rate , emergency department visits, observation stays.

D) Use an enterprise healthcare data warehouse - to integrate clinical, financial and patient satisfaction data. An enterprise healthcare data warehouse identifies all patient with primary diagnosis of heart failure and then stratifies the population as either high or low risk for readmission.