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Indicators Along the CARE-IT Principles

The following indicators support the structured assessment of the organizational embedding of the eight CARE-IT foundational principles (P1–P8).

They are not a checklist and not an audit instrument.
They do not replace evaluation through KPIs.

They support interdisciplinary, qualitative reflection on structural maturity.

Numerical aggregation is explicitly not intended.

P1 – Clinical Effectiveness​

Structural Indicators of Higher Maturity​

  • Clinical effectiveness is explicitly defined as a prioritization criterion
  • Digital investments are assessed against clearly articulated benefit criteria prior to introduction
  • Clinical purpose responsibility is institutionally embedded
  • Effects are structurally reviewed after implementation
  • Systems without visible contribution to care are critically reassessed

Lower Maturity Becomes Visible Through​

  • technology-driven or budget-driven decision logic
  • absence of explicit benefit justification
  • prioritization by availability rather than care impact

Reflection Questions​

  • Is clinical effectiveness explicitly defined as a reference criterion?
  • Can digital decisions be justified in terms of concrete care impact?
  • Is impact structurally reviewable, or merely implicitly assumed?

P2 – Holistic System Responsibility​

Structural Indicators of Higher Maturity​

  • Clinical system constellations are transparently described
  • Integration dependencies are visible
  • Decisions consider the overall system context
  • Overall responsibility for system constellations is clearly defined

Lower Maturity Becomes Visible Through​

  • isolated optimization of individual components
  • reactive handling of interface issues
  • lack of overview regarding systemic interdependencies

Reflection Questions​

  • Are systems considered as constellations or as isolated components?
  • Are dependencies visible before decisions are made?
  • Is there an explicit overall perspective on care interrelationships?

P3 – Transparent Allocation of Responsibility​

Structural Indicators of Higher Maturity​

  • Clinical purpose responsibility is explicitly designated
  • Operator responsibility is documented
  • Integration responsibility is assigned
  • Risk decisions are traceably embedded
  • Escalation and decision pathways are defined

Lower Maturity Becomes Visible Through​

  • implicit or person-dependent responsibilities
  • unclear accountability in case of incidents
  • informal decision logic

Reflection Questions​

  • Is responsibility traceable independent of individuals?
  • Are risk and operational responsibilities explicitly documented?
  • When problems arise, does the search for responsibility begin?

P4 – Shared Understandability as a Leadership Principle​

Structural Indicators of Higher Maturity​

  • Technical matters are presented in clinically comprehensible terms
  • A shared terminology is established
  • System representations are readable across disciplines
  • Decision foundations are understandable across professional boundaries

Lower Maturity Becomes Visible Through​

  • discipline-specific documentation silos
  • technically centered discussions without care context
  • recurring misunderstandings between disciplines

Reflection Questions​

  • Can technical risks be interpreted in clinical terms?
  • Are system representations understood across disciplines?
  • Does a shared conceptual reference framework exist?

P5 – Patient Safety as a Normative Boundary​

Structural Indicators of Higher Maturity​

  • Patient-relevant risks are systematically identified
  • Risk decisions are explicitly documented
  • Benefit–risk considerations are transparent
  • Responsibility for risk acceptance is clearly defined

Lower Maturity Becomes Visible Through​

  • implicit risk acceptance
  • purely formal compliance without structural evaluation
  • absence of documented risk decisions

Reflection Questions​

  • Are patient-relevant risks consciously evaluated?
  • Is it clearly documented who assumes responsibility for risk decisions?
  • Are benefit and risk systematically weighed against one another?

P6 – Lifecycle Sustainability​

Structural Indicators of Higher Maturity​

  • Lifecycle aspects are considered prior to introduction
  • Maintainability and updatability are structurally safeguarded
  • Operational resources are realistically planned
  • Dependence on individual persons is reduced

Lower Maturity Becomes Visible Through​

  • reactive operational management
  • absence of lifecycle strategy
  • structural operational overload

Reflection Questions​

  • Is long-term operation structurally secured?
  • Are end-of-life and migration risks visible?
  • Is maintainability structurally planned or handled reactively?

P7 – Information Integrity​

Structural Indicators of Higher Maturity​

  • Clinically relevant information is consistent across systems
  • Data flows are transparently described
  • Responsibility for data quality is defined
  • Information loss or inconsistencies are detectable

Lower Maturity Becomes Visible Through​

  • inconsistent information states
  • unclear data responsibility
  • lack of transparency regarding interfaces

Reflection Questions​

  • Are critical information flows traceable?
  • Is it clear who is responsible for data quality?
  • Can information inconsistencies be systematically detected?

P8 – Innovation Capability from the Operator Perspective​

Structural Indicators of Higher Maturity​

  • New solutions are evaluated in a structured manner
  • System constellation impacts are analyzed prior to introduction
  • Project-to-operation transitions are safeguarded
  • The organization systematically learns from implementations

Lower Maturity Becomes Visible Through​

  • fragmented pilot solutions
  • innovation-driven instability
  • absence of sustainable integration into routine operations

Reflection Questions​

  • Can new solutions be integrated repeatedly and reliably?
  • Is innovation structurally safeguarded or person-dependent?
  • Does operational stability remain intact despite innovation?

Application​

Assessment should ideally be:

  • interdisciplinary,
  • discourse-oriented,
  • focused on a specific clinical system constellation,
  • periodically reflected.

The indicators support structural reflection — not point scoring.

CARE-IT understands maturity as organizational capability, not as a metric.