Formulation of a Weighted Scoring Model Based on Forensic Medical Examination Data as a Decision Support for Prioritizing Sexual Violence Cases

Syifaurachman Syifaurachman; Stefanus Satryo Wasono; Ragil Nur Iman; Yosia Simbolon

doi:10.58602/jaiti.v4i4.436

Syifaurachman Syifaurachman ^{(Corresponding Author)} Universitas Pamulang
Stefanus Satryo Wasono Universitas Pamulang
Ragil Nur Iman Universitas Pamulang
Yosia Simbolon Universitas Pamulang

DOI: https://doi.org/10.58602/jaiti.v4i4.436

Keywords: Decision Support System, Health Informatics, Clinical Forensics, Priority Case Handling, Weighted Scoring Model

Abstract

Recent empirical studies highlight that post-factum clinical forensic records in sexual violence cases remain underutilized, leaving emergency case handling heavily dependent on intuitive or first-come, first-served administrative practices that delay critical interventions. This study aims to formulate and validate an automated decision support model utilizing the Simple Additive Weighting (SAW) algorithm to structure medicolegal data into an objective priority-ranking mechanism for case handling. Practically, this framework enables public hospitals and victim protection units to optimize scarce emergency resources, safeguard golden hours for medical prophylaxis, and execute immediate safe-house evacuations. The research method extracted five clinical-forensic criteria—victim age vulnerability, physical and or genital trauma severity, perpetrator relationship, reporting delay, and toxicological or weapon threats from 50 de-identified clinical forensic records, normalized through linear cost-benefit functions weighted by forensic specialists. The results demonstrate robust algorithmic stability across varying weight scenarios, with Spearman's rank correlation reaching and , alongside an empirical expert concordance of () that successfully categorized 22% of cases into Emergency Handling Priority I. The research completely meets the expected computational precision and validity, confirming that the model provides a transparent handling prioritization mechanism. However, further multi center trials and integration with natural language processing tools are needed to automate textual feature extraction in larger hospital settings.

Downloads

Download data is not yet available.

References

T. P. Cookson, L. Fuentes, and J. Bitterly, “Addressing gender-based violence through social protection: a scoping review,” Dev. Pract., vol. 35, no. 3, pp. 305–320, Apr. 2025, doi: 10.1080/09614524.2023.2290438.

E. L. Jeglic and C. Calkins, Eds., Sexual Violence. Cham: Springer International Publishing, 2016. doi: 10.1007/978-3-319-44504-5.

J. C. D. O. R. Costa and M. M. Silva, “Prioritizing Public Policies to Combat Violence Against Women: A Multicriteria Decision Analysis,” Violence Women, vol. 32, no. 6–7, pp. 1665–1692, May 2026, doi: 10.1177/10778012251347605.

N. U. Faddila, D. P. Alim, and A. F. Sugiharto, “Forensic Medicine and Medicolegal Studies in Indonesia,” in Reference Module in Social Sciences, Third Edition., vol. 1–4, Elsevier, 2024. doi: 10.1016/B978-0-443-21441-7.00182-5.

N. U. Faddila, A. F. Sugiharto, and Y. Budiningsih, “Factors affecting female external genital findings in child sexual assault victims,” Aust. J. Forensic Sci., vol. 56, no. sup1, pp. 13–16, Apr. 2024, doi: 10.1080/00450618.2024.2324720.

E. Sezgin, S.-A. Hussain, S. Rust, and Y. Huang, “Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data,” JMIR Form. Res., vol. 7, p. e43014, Mar. 2023, doi: 10.2196/43014.

E. Garcia-Vergara, N. Almeda, F. Fernández-Navarro, and D. Becerra-Alonso, “Risk Assessment Instruments for Intimate Partner Femicide: A Systematic Review,” Front. Psychol., vol. 13, p. 896901, May 2022, doi: 10.3389/fpsyg.2022.896901.

J. G. Alderden et al., “Developing a Relational Database for Best Practice Data Management: The Turn Everyone and Move for Ulcer Prevention Database,” CIN Comput. Inform. Nurs., vol. 41, no. 2, pp. 59–65, Feb. 2023, doi: 10.1097/CIN.0000000000001011.

D. Quiroga and M. Botes, “The emergency care of patients who have experienced sexual violence: An integrative literature review of global practices and commentary on feasibility for low resources settings,” Int. J. Afr. Nurs. Sci., vol. 23, p. 100873, 2025, doi: 10.1016/j.ijans.2025.100873.

V. Choudhary, A. Mehta, K. Patel, M. Niaz, M. Panwala, and U. Nwagwu, “Integrating Data Analytics and Decision Support Systems in Public Health Management,” South East. Eur. J. Public Health, 2024, doi: 10.52710/seejph.495.

R. M. Dumitrescu, “The Digital Transformation of Forensic Medicine: A Map of Technological Progress and an Assessment of its Social Role,” Romanian J. Leg. Med., vol. 33, no. 3, pp. 216–229, Sep. 2025, doi: 10.4323/rjlm.2025.216.

F. Menichelli and S. Weston, “Public health approaches to crime prevention: questions of epistemic authority and the politics of co-production,” Polic. Soc., vol. 36, no. 8, pp. 1106–1120, Sep. 2026, doi: 10.1080/10439463.2026.2666792.

M. Berg Von Linde, S. Acosta, A. M. Khoshnood, and C. J. Wingren, “Forensic life-threat assessments using trauma scoring in single stabs to the trunk,” Int. J. Legal Med., vol. 140, no. 4, pp. 2555–2564, Jul. 2026, doi: 10.1007/s00414-026-03781-6.

A. Georgiou, “Data, information and knowledge: the health informatics model and its role in evidence‐based medicine,” J. Eval. Clin. Pract., vol. 8, no. 2, pp. 127–130, May 2002, doi: 10.1046/j.1365-2753.2002.00345.x.

A. A. Rusman, T. Koswara, and J. C. Wibowo, “Wound Patterns in Victims of Physical Abuse: A Retrospective Descriptive Analysis at Bhayangkara Sartika Asih Hospital, Indonesia,” vol. 7, 2025.

S. M. F. D. S. Fernandes and R. F. D. F. Aires, “Multi-Criteria Decision Analysis for healthcare decisions: a bibliometric study,” Rev. Eletrônica Comun. Informação Inov. Em Saúde, vol. 18, no. Ahead-of-Print, Nov. 2024, doi: 10.29397/reciis.v18iAhead-of-Print.3996.

M. Alexiuk, H. Elgubtan, and N. Tangri, “Clinical Decision Support Tools in the Electronic Medical Record,” Kidney Int. Rep., vol. 9, no. 1, pp. 29–38, Jan. 2024, doi: 10.1016/j.ekir.2023.10.019.

Bader Abdulrahman Sulayman Almuballi et al., “Governance of Clinical Data Quality in Electronic Health Records: Administrative Policies, Health Informatics Systems, and Medical Secretarial Practices,” Int. J. Comput. Exp. Sci. Eng., vol. 10, no. 4, Oct. 2024, doi: 10.22399/ijcesen.4768.

O. Efthimiou, M. Seo, K. Chalkou, T. Debray, M. Egger, and G. Salanti, “Developing clinical prediction models: a step-by-step guide,” BMJ, vol. 386, p. e078276, Sep. 2024, doi: 10.1136/bmj-2023-078276.

S. Oktaviana R, P. W. Handayani, A. N. Hidayanto, and B. B. Siswanto, “Healthcare data governance assessment based on hospital management perspectives,” Int. J. Inf. Manag. Data Insights, vol. 5, no. 1, p. 100342, Jun. 2025, doi: 10.1016/j.jjimei.2025.100342.

A. Moreno-Calderón, T. S. Tong, and P. Thokala, “Multi-criteria Decision Analysis Software in Healthcare Priority Setting: A Systematic Review,” PharmacoEconomics, vol. 38, no. 3, pp. 269–283, Mar. 2020, doi: 10.1007/s40273-019-00863-9.

J. D. Medina-Contreras et al., “A Hybrid Multi-Criteria Decision-Making Framework for Selecting the Most Suitable Photovoltaic Proposal in Healthcare Institutions,” Appl. Sci., vol. 16, no. 17, p. 8888, Sep. 2026, doi: 10.3390/app16178888.

O. Šušteršič, U. Rajkovič, D. Dinevski, E. Jereb, and V. Rajkovič, “Evaluating Patients’ Health Using a Hierarchical Multi-Attribute Decision Model,” J. Int. Med. Res., vol. 37, no. 5, pp. 1646–1654, Oct. 2009, doi: 10.1177/147323000903700544.

E. Fetrina, I. Nurazizah, and M. Al-Habsie, “Comparative Analysis of the SMART and MFEP Methods for Selecting Baking Ingredient Suppliers for Bakery MSMEs in East Bekasi District,” J. Artif. Intell. Technol. Inf. JAITI, vol. 4, no. 3, pp. 506–519, Sep. 2026, doi: 10.58602/jaiti.v4i3.319.

J. Wang, S. Setiawansyah, and S. Sumanto, “Comparison of Objective Weighting Methods in SAW and Their Effect on Alternative Ranking Results,” J. Masy. Inform., vol. 17, no. 1, pp. 89–112, Feb. 2026, doi: 10.14710/jmasif.17.1.78414.

L. M. Carroll, J. V. Farr, and T. A. Trainor, “Weighted Scoring Model for Resource Allocation in Postconflict Reconstruction,” J. Infrastruct. Syst., vol. 14, no. 3, pp. 169–177, Sep. 2008, doi: 10.1061/(ASCE)1076-0342(2008)14:3(169).

T. D. C. Frazão, A. F. A. D. Santos, D. G. G. Camilo, J. F. Da Costa Júnior, and R. P. De Souza, “Priority setting in the Brazilian emergency medical service: a multi-criteria decision analysis (MCDA),” BMC Med. Inform. Decis. Mak., vol. 21, no. 1, p. 151, Dec. 2021, doi: 10.1186/s12911-021-01503-z.

I. Z. Mukhametzyanov and D. Pamucar, “Equivalence of MCDM Methods and Synthesis of Solution Based on Ratings Obtained in Different Models,” Decis. Mak. Appl. Manag. Eng., vol. 8, no. 2, 2025.

J. Wang and A. R. Isnain, “Multi-Criteria Decision Support System for Best Warehouse Performance Selection Using Combined Compromise Solution Method,” vol. 4, no. 2, 2025.

B. Mudassar, S. Tahir, F. Khan, S. A. Shah, S. I. Shah, and Q. H. Abbasi, “Privacy-Preserving Data Analytics in Internet of Medical Things,” Future Internet, vol. 16, no. 11, p. 407, Nov. 2024, doi: 10.3390/fi16110407.

N. Yakob, S. Laliberté, P. Doyon-Poulin, P. Jouvet, and R. Noumeir, “Data Representation Structure to Support Clinical Decision-Making in the Pediatric Intensive Care Unit: Interview Study and Preliminary Decision Support Interface Design,” JMIR Form. Res., vol. 8, p. e49497, Feb. 2024, doi: 10.2196/49497.

L. A. Lenert et al., “Automated production of research data marts from a canonical fast healthcare interoperability resource data repository: applications to COVID-19 research,” J. Am. Med. Inform. Assoc., vol. 28, no. 8, pp. 1605–1611, Jul. 2021, doi: 10.1093/jamia/ocab108.

T. V. Dua, D. V. Duc, N. C. Bao, and D. D. Trung, “Integration of objective weighting methods for criteria and MCDM methods: application in material selection,” EUREKA Phys. Eng., no. 2, pp. 131–148, Mar. 2024, doi: 10.21303/2461-4262.2024.003171.