The Faculty of Public Health (FPH) at the Universitas Indonesia (UI) has once again produced an exceptional doctoral graduate. Finna Ella Indriany successfully defended her dissertation titled “Machine Learning-Based Heart Failure Readmission Prediction Model to Build a Self-Monitoring Prototype as an Effort to Prevent Recurrent Hospitalization and Maintain Quality of Life” during the Open Doctoral Promotion Session held on Wednesday, December 18, 2024, at FPH UI, Depok.
Heart failure is a chronic and progressive condition that presents a major challenge in the healthcare world. Its prevalence reaches 1-3% globally and 5% in Indonesia, placing Indonesia in 4th place worldwide. The mortality rate from heart failure reaches 50% within five years, with a 17% readmission rate within 30 days in Indonesia. Utilizing contemporary Artificial Intelligence technology, Finna’s research resulted in a machine learning-based prediction model that identifies risk factors as predictors of recurrent hospitalization. “The results were implemented into a prototype application that supports collaboration between healthcare workers and patients for self-monitoring, so readmission rates can be reduced and patients’ quality of life maintained,” explained Finna.
This research involved several stages, using both quantitative and qualitative approaches. Data was collected from the medical records of heart failure patients at Harapan Kita Heart and Vascular Hospital in Jakarta. Artificial Intelligence (AI) technology has opened up great opportunities to overcome the distance barrier between patients and hospitals. Abroad, many hospitals already have self-monitoring units, and in Indonesia, similar systems are starting to develop with specific policy support. For example, some hospitals, like Siloam Hospital, have designed this technology for patient monitoring at home. “This AI-based application is designed to be adaptable to the needs of hospitals, patients, and local communities, but special training for caregivers remains the key to its success,” said Finna.
During the modeling phase, data from 2,738 heart failure patients post-hospitalization with 64 variables was analyzed using Orange Data Mining, producing 31 best features. These features formed a superior prediction model using the Random Forest algorithm with high performance (AUC 0.976; CA 0.912; F1 0.912; Precision 0.916; and Recall 0.912). The model was then implemented into a prototype application named FineHeart, equipped with features based on system needs analysis. Efficacy testing showed a decrease in readmission rates in the intervention group (20%) compared to the control group (43.3%) and a significant improvement in two Kansas City Cardiomyopathy Questionnaire (KCCQ) parameters: Quality of Life (p=0.029) and Overall Summary Score (p=0.001). Finna Ella Indriany concluded that the machine learning-based prediction model applied through this app could be used for self-monitoring, potentially preventing readmissions and maintaining patients’ quality of life. “This approach is expected to offer an effective solution that can improve healthcare services, particularly in managing heart failure,” she added.
Finna Ella Indriany earned her Doctor of Public Health degree with summa cum laude honors, achieving a GPA of 3.97, and became the first doctoral graduate of FPH UI in 2024 to receive this honor. Officially, Finna has become a Doctor of Public Health (DPH) and is recorded as the 43rd DPH graduate of FPH UI in 2024, the 339th DPH graduate, and the 436th graduate from FPH UI’s doctoral program. Throughout the process, Dr. Finna received full support from Siloam Hospital, her family, and colleagues, who witnessed her success in achieving outstanding academic accomplishments.
The Open Doctoral Promotion Session for Dr. Finna Ella Indriany, M.M., was chaired by Prof. Dr. Kemal N. Siregar, S.K.M., M.A., Ph.D., as the promoter, assisted by Prof. Dr. dr. Bambang Budi Siswanto, SpJP(K), and Dr. Indrajani Sutedja, S.Kom., M.M., as co-promoters. The session was presided over by Prof. Dr. dr. Adang Bachtiar, M.P.H., D.Sc., with the examination committee consisting of Prof. Dr. dr. Budhi Setianto Purwowiyoto, SpJP(K); Dr. Artha Prabawa, S.Kom., S.K.M., M.Si.; Dr. drs. Sutanto Priyo Hastono, M.Sc.; and Dr. Ir. Heru Purnomo Ipung, M.Eng. (DFD)