Developing and Validating the Multimodal Therapeutic Coherence Index (MTCI): A Standardized Tool to Predict Patient Outcomes Across Medical Specialties

Authors

  • Abdulmalik Alanazi Nursing Specialist, Prince Abdulmohsin General Hospital Author
  • Manal Eid Afana Alshrari Nurseing /Midwife, Duba General Hospital Author
  • Shatha Sadan Alrashedi Nurse, Regional Dental Center In Qassim Author
  • Khalid Saleh Saad Albalawi Mortuary, King Fahd Specialist Hospital Tabuk Author
  • Najat Sulaiman Albalwi Nursing Technician, Prince Abdulmohsen Hospital Author
  • Hanan Mulebis Alanazi Health Security, The First Health Cluster Author
  • Yazeed Alzahrani Health Assistant-Health Care Security, Asir Health Cluster Author
  • Omar Maqbul Mutaq Specialist Of Hospital Management, Al-Qurayyat General Hospital Author
  • Norah Rebh Onayzan Albaqami Health Informatics, King Abdulaziz Specialist Hospital Author
  • Abeer Abdalaziz Alhatim General Practitioner, Imam Muhammed Ibn Saud Islamic University Medical Center Author

DOI:

https://doi.org/10.47352/jmans.2774-3047.233

Keywords:

Multimodal Therapeutic Coherence, Patient Outcome Prediction, Medical Specialties, Standardized Index, Clinical Decision Support, Therapeutic Integration, Personalized Medicine, Predictive Analytics

Abstract

Multimodal therapeutic approaches are essential for managing complex diseases, yet tools to assess the coherence of combined treatments remain lacking. This study introduces the Multimodal Therapeutic Coherence Index (MTCI), a standardized tool designed to quantify the alignment and synergy of therapies across medical specialties. Developed through expert consensus and validated in over 6,000 patients, the MTCI demonstrated strong predictive power for clinical outcomes such as mortality, readmissions, and quality of life. Case studies in oncology, cardiology, and rehabilitation illustrate its practical use. The MTCI offers a valuable decision support tool to optimize integrated care and personalize treatment strategies, with potential for embedding in health IT systems to support real-time clinical management. [1]

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Published

2025-11-16

Issue

Vol. 5 No. 2 (2025): Journal of Multidisciplinary Applied Natural Science

Section

Articles

License

Copyright (c) 2025 Abdulmalik Alanazi, Manal Eid Afana Alshrari, Shatha Sadan Alrashedi , Khalid Saleh Saad Albalawi, Najat Sulaiman Albalwi , Hanan Mulebis Alanazi, Yazeed Alzahrani, Omar Maqbul Mutaq, Norah Rebh Onayzan Albaqami, Abeer Abdalaziz Alhatim (Author)

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