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All Journal Jurnal Multidisiplin Indonesia Glosains: Jurnal Sains Global Indonesia
Fera Gusmi Nurba
Universitas Esa Unggul
Education Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Veterinary

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The Effect of Smart Hospital Implementation on Operational Efficiency and Physiotherapy Patient Satisfaction: A Literature Review Mohamad Reza Hilmy; Erlina Puspitaloka Mahadewi; Fera Gusmi Nurba; Alika Shameela
Glosains: Jurnal Sains Global Indonesia Vol. 7 No. 2 (2026): Glosains: Jurnal Sains Global Indonesia
Publisher : Sekolah Tinggi Agama Islam Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59784/glosains.v7i2.724

Abstract

Background: Digital transformation has been crucial to the evolution of healthcare organizations, with most hospitals in Asia having launched smart hospital initiatives to enhance service quality and operational efficiency. However, a significant gap remains, as there is still no established model demonstrating that smart hospital implementation contributes to operational efficiency and patient satisfaction, as described above. Objective: This study aims to examine the implementation of affordable smart hospitals, operational efficiency, and patient satisfaction related to physiotherapy as a healthcare service highly dependent on direct contact and intensive physical therapy sessions. Methods: We performed a systematic literature review (SLR) in accordance with the PRISMA protocol, including articles published between 2020 and 2026. A total of 25 articles were included in the synthesis through narrative analysis, and themes were identified across the literature. Results: Smart hospitals, in combination with hospital information systems, electronic medical records, and telemedicine, have been found to improve operational efficiency. This improvement leads to faster service processes, higher levels of accuracy in data entry by medical professionals, better resource optimization, and ultimately greater patient satisfaction due to reduced waiting times and improved quality of service interactions. Conclusion: Computing technology is a promising mechanism for maintaining process standards across all forms of operational performance, particularly in the domain of patient-centered care services primarily represented in physiotherapy settings. This study supports the use of such technologies to enhance patient comfort and operational robustness.
The Relationship Between Body Mass Index (BMI) and the Risk of Patellofemoral Pain Syndrome in Young Adult Women Fitalia Ingriani Lesnussa; Mohamad Reza Hilmy; Nuraini Diah Noviati; Fera Gusmi Nurba
Jurnal Multidisiplin Indonesia Vol. 5 No. 9 (2026): Jurnal Multidisiplin Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jmi.v5i9.2938

Abstract

Patellofemoral Pain Syndrome (PFPS) is one of the most common musculoskeletal disorders affecting young adult women and is characterized by pain in the anterior region of the knee. This condition can interfere with functional activities such as walking, ascending and descending stairs, squatting, and running. One of the factors presumed to be associated with an increased risk of PFPS is Body Mass Index (BMI). An elevated BMI may increase the mechanical load on the patellofemoral joint, resulting in greater stress on the patellar cartilage and potentially leading to anterior knee pain. This study aims to determine the relationship between Body Mass Index (BMI) and the risk of Patellofemoral Pain Syndrome (PFPS) among young adult women. This study employed a quantitative research design with a cross-sectional approach. A total of 80 young adult women were selected using a purposive sampling technique. BMI was assessed by measuring body weight and height, while knee function was evaluated using the Anterior Knee Pain Scale (AKPS), and PFPS risk factors were assessed using the PFPS Risk Questionnaire. Data were analyzed using univariate analysis and bivariate analysis with the Pearson Correlation test and Chi-Square test at a significance level of ? = 0.05. The results showed that the mean age of the respondents was 20.55 ± 1.81 years, the mean BMI was 23.11 ± 4.90 kg/m², and the mean AKPS score was 71.21 ± 12.54. Pearson Correlation analysis revealed a significant relationship between BMI and AKPS score (r = -0.408; p < 0.001), indicating that a higher BMI was associated with lower knee function. Furthermore, the Chi-Square test demonstrated a significant association between BMI categories and PFPS risk categories, as well as between BMI categories and AKPS-based knee function categories (p < 0.05). Conclusion here was a significant relationship between Body Mass Index and the risk of Patellofemoral Pain Syndrome as well as knee function in young adult women. An increased BMI was associated with decreased knee function and a higher risk of developing PFPS. These findings are expected to provide a basis for promotive and preventive strategies aimed at reducing the risk of Patellofemoral Pain Syndrome through maintaining an optimal Body Mass Index, thereby supporting better musculoskeletal health, particularly knee joint function, in young adult women.
Co-Authors Alika Shameela Fitalia Ingriani Lesnussa Mahadewi, Erlina Puspitaloka Mohamad Reza Hilmy Nuraini Diah Noviati