A.
The foundation of the analysis is a systematic recording of the built environment that goes far beyond purely aesthetic considerations. Fact & Feeling utilizes a profound classification of Architectural Variables (AVs) to deconstruct the healthcare facility into its functional components. The system analyzes a broad spectrum, ranging from macroscopic spatial configuration and wayfinding to the specific materiality of surfaces and atmospheric factors such as lighting quality and room acoustics. Each variable is understood not in isolation, but as part of a complex causal network within the medical facility.
By structuring these data points through software, it becomes possible to treat architecture as a measurable quantity. The model accounts for hundreds of defined interactions between these architectural stimuli and specific health criteria. These criteria cover both physical and psychological health aspects and are based on scientifically sound classifications that demonstrate how spatial parameters in a healthcare facility impact humans.
The methodical separation into various categories and subcategories ensures that no relevant factor is overlooked. Whether it concerns stress reduction through visual connections to nature or increasing safety through optimized sightlines, the software assigns every parameter precisely. This structured database is the prerequisite for not just describing architecture, but for accurately predicting its impact on patients and staff and revealing targeted optimization potential.
B.
The system does not view architecture within a healthcare facility as a sum of isolated elements; instead, it analyzes the multi-layered interplay of all spatial factors. A key feature of Fact & Feeling is its ability to mathematically capture direct and indirect, as well as linear and non-linear, dependencies. While linear connections show immediate cause-and-effect relationships, the software makes the actual complexity of structural features tangible only through the analysis of non-linear interactions.
This in-depth analysis allows for an exact determination of the mechanisms of action that affect psychological health, physical safety, and the intuitive orientation of users. Fact & Feeling recognizes that a structural change in one location can often have delayed or indirect effects on other areas of the healthcare facility. Through this differentiated perspective, interdependencies become visible that remain hidden in conventional assessment methods.
The software translates these insights into valid data that serves as a basis for evidence-based planning. By demonstrating how architectural parameters indirectly influence care quality or patient well-being, Fact & Feeling offers a precise decision-making tool. The goal is to calibrate the architecture of the healthcare facility so that all impact paths—whether direct or via complex intermediate stages—are optimally aligned with therapeutic goals.
C.
Fact & Feeling identifies cascade effects within the healthcare facility where various architectural variables mutually reinforce or weaken each other. The system utilizes mathematical modeling of these interactions to make deep-seated causal chains visible that go beyond simple cause-and-effect relationships. A central application example is the analysis of how the choice of certain materials influences acoustic quality, which in turn has direct effects on the stress levels of staff and patients.
These causal chains are precisely quantified by the software so that architectural decisions can be utilized for planning. Fact & Feeling recognizes that even the smallest changes to spatial parameters can have significant impacts on social interaction or therapeutic efficiency through cascade effects. The software makes these often invisible connections transparent and evaluates them based on evidence-based data.
The mathematical recording of these combined effects enables a targeted optimization of the entire facility. Because Fact & Feeling understands the complex dependencies between spatial geometry, materiality, and human behavior, specific interventions can be planned that address the root of the causal chain. Thus, the system ensures that structural measures do not merely fight isolated symptoms but improve the functional quality of the healthcare facility holistically.
D.
The system provides a solid basis for decision-making through the integration of various analysis formats that make the current state of the healthcare facility objectively evaluable. A central element is the Gap Analysis, which precisely identifies the deviation between the current structural state and scientifically defined target specifications. Fact & Feeling reveals where the architecture already supports therapeutic goals and in which areas significant deficits exist that could hinder the healing process or care efficiency.
In addition to identifying gaps, the software performs a detailed root-cause analysis to isolate the structural reasons for identified deficiencies. Instead of merely describing symptoms, the system penetrates to the roots of the architectural problems in the healthcare facility. It examines which specific variables—such as unfavorable wayfinding or deficient visual references—are responsible for a deficit. This in-depth diagnosis makes it possible to derive targeted measures that address exactly the critical points.
The combination of these analysis formats transforms complex data into actionable insights that flow directly into optimization planning. Fact & Feeling prioritizes results according to their relevance for well-being and functional safety, ensuring that investments in the healthcare facility are made where they achieve the highest therapeutic benefit. This systematic approach ensures that architectural improvements are not based on assumptions, but on an exact comparison of existing inventory and evidence-based targets.
E.
The system transforms the architecture of a healthcare facility into a hybrid evaluation model that combines numerical precision with content-related depth. Fact & Feeling assigns a quantitative value to each architectural variable, expressing its specific contribution to promoting or impairing health. Instead of relying on vague descriptions, the software calculates exactly to what extent individual parameters—such as light intensity in therapy areas or the spatial complexity of corridor systems—achieve defined health goals. This mathematical weighting allows for precise scaling, making the performance of different areas within the healthcare facility immediately comparable and objectively evaluable.
Complementing the numerical analysis, the software provides deep qualitative insights to fully unlock the structural background of the results. Fact & Feeling performs a detailed root-cause analysis that explains why specific variables influence the users' well-being. It examines how, for example, room geometry or lighting design affect the psyche and physiology in detail. While quantification determines the "how much," the qualitative component clarifies the "why." This dual approach makes it possible not only to identify architectural problems on the surface but to understand them at the root.
The merging of both evaluation methods forms the basis for targeted optimization that considers both mathematical facts and logical causalities. Fact & Feeling makes the effectiveness of the architecture transparent for operators and investors by highlighting critical areas for action while providing the logical justification for necessary interventions. This ensures that every structural change in the healthcare facility is based on a valid database that ensures functional efficiency and human well-being alike.
F.
The processing of analytical data occurs in real-time, with Fact & Feeling immediately translating results into user-friendly visualizations. The system clearly displays the complex interrelationships of the healthcare facility in charts and statistics to enable a rapid assessment of the current situation. Integrated analysis tools identify trends and anomalies within the structural framework, providing a solid foundation for continuous monitoring of facility quality.
An essential part of the software is the automatic categorization of results, which organizes the need for action according to thematic focus areas. Fact & Feeling goes beyond the mere representation of deficiencies and provides a clear prioritization of necessary measures. The system evaluates which architectural adjustments in the healthcare facility have the greatest positive influence on safety, well-being, and operational processes.
This structured prioritization assists operators and planners in deploying resources specifically where they achieve the highest therapeutic impact. The software ensures that architectural recommendations are not presented as a disorganized list, but as a strategic roadmap. This ensures an efficient and quality-oriented optimization of the healthcare facility based on valid data and a clear logical ranking of intervention areas.
G.
The analysis includes an automated comparison with established best-practice models in the healthcare sector. Fact & Feeling thus positions the healthcare facility precisely within the current competitive environment. The system uncovers relative strengths as well as weaknesses compared to leading standards and provides objective benchmarks for quality-oriented optimization.
Through this detailed classification of structural performance, a solid basis is created to secure the competitiveness of the healthcare facility in the long term and to raise the quality of care to an excellent level. This process allows operators not only to rectify existing deficits but to actively orient themselves toward international top standards and implement innovative spatial concepts. The resulting validation of the architecture also serves as a strong signal to investors and payers, as it scientifically substantiates the future viability of the property through measurable reference values.
H.
By using advanced mathematical algorithms, the evaluation of architectural data is fully automated and highly precise. This digital process eliminates human sources of error, ensures a consistent analysis of hundreds of variables, and significantly accelerates the assessment of the healthcare facility. The result is valid, objective data that forms a sound and reliable basis for strategic design decisions and optimization processes.
I.
The software's algorithms are continuously updated with the latest findings from evidence-based research and healthcare architecture. This keeps the logic of interactions between space and health constantly up to date. Fact & Feeling thus guarantees recommendations that meet the most modern scientific standards and ensures that the healthcare facility benefits from the latest advances in medical architecture.
j.
Based on the analysis results and the gap analysis, Fact & Feeling develops customized architectural solutions for the healthcare facility. The system accompanies the entire process from initial needs assessment to structural implementation. This ensures that analytical insights flow seamlessly into concrete improvements that fully exploit the therapeutic potential of the architecture and sustainably increase the quality of care.
