[Is it possible to measure illness intensity degree?].

Area of Science:

• Objective Medicine
• Health Sciences
• Medical Informatics

Background:

• Traditional medical analysis involves complex concepts like symptom severity, disease penetration, and comorbidity.
• Standardizing medical terminology and data is crucial for objective analysis and effective treatment evaluation.

Purpose of the Study:

• To develop a standardized, objective system for analyzing patient data and disease progression.
• To create a virtual representation of illness and a quantifiable index for treatment assessment.

Main Methods:

• Utilized a database of over 6,600 pathology terms and 5,000 keywords to establish determinants.
• Developed a Biological Scientific Model with 30 groups to generate a Virtual Real Image of symptomatology.
• Integrated symptom data and quality of life analysis into an algorithm to produce the Nosometric Index.

Main Results:

• The Nosoma system generates a Virtual Real Image of illness, detailing variations from psychic to organic levels.
• The Nosometric Index quantifies patient improvement or worsening, serving as a therapeutic effectiveness control.
• The system also evaluates sequels, disabilities, and aids in confronting autopsy findings with clinical data.

Conclusions:

• The Nosoma system and Nosometric Index offer an objective method for evaluating illness, treatment efficacy, and patient outcomes.
• This approach provides valuable data for clinical trials, sequel assessment, and potentially legal defense for medical professionals.