You expect to find many lifesaving techniques in hospitals—expensive medical research, groundbreaking procedures—but when it comes to treating patients with cardiovascular disease, the approach one Taiwanese hospital used might surprise you: data analysis.
Heart disease is one of the leading causes of death in Taiwan, so it’s no wonder the country’s healthcare professionals are looking for ways to improve treatment options.
That’s why a Lean Six Sigma project team at Cathay General Hospital in the city of Taipei examined the emergent angioplasty process for treating patients suffering from acute ST-elevation myocardial infarction (STEMI), a heart attack caused by coronary heart disease. Improving aspects such as the wait time between diagnosis and treatment could help to save many lives.
Doctors and quality managers from the hospital’s Quality Management Center used Minitab Statistical Software to assess the hospital’s process and confidently re-engineer both the diagnosis and treatment processes while increasing savings in medical resources.
Cathay General Hospital
- Teaching hospital located in city of Taipei, Taiwan
- Has provided quality healthcare to northern Taiwan for over 30 years
- Provide comprehensive services including major cardiac, neurological, and transplantation surgeries
- Operates 778 patient beds
- Part of a healthcare network that also includes branches in the Hsinchu and Sijhih areas, and a clinic in Neihu
Evaluate the hospital’s process for heart attack patients in order to improve the wait time between diagnosis and treatment to save lives, as well as optimize efficiency, eliminate waste, and reduce the cost of medical resources.
Minitab® Statistical Software
- Used data analysis to improve treatment for heart attack patients
- Decreased heart attack patients’ hospital stay
- Introduced a new patient process that saved $4.4 million in medical resources
- Improved the average wait time between diagnosis and treatment by 58.4%