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A clinical service line investment recovery framework for medical equipment: method specification and a retrospective
Takashi Shibuya1, Nobuo Kutsuna1,2
1Corporate Strategy Division, Fukujukai Medical Corporation, Tokyo, Japan.
Objectives:
Hospitals may not preserve the assumptions approved for medical-equipment purchases alongside post-adoption financial and value outcomes. We specified a clinical service line (CSL) investment recovery framework and examined its initial feasibility using routine hospital records.
Methods:
Targeted mapping of health technology assessment (HTA), lifecycle HTA, management accounting, and organizational learning concepts was followed by internal logic checks. A retrospective records-based application was conducted for one purposively selected 4 K arthroscopy camera-head investment at a Japanese acute-care hospital. Aggregate fixed-asset, lease, and claims records were analyzed descriptively without patient-level data or causal attribution.
Results:
The framework links CSL definition, pre-adoption commitments, annualized investment burden (AIB), contribution margin (CM), evidence status, allocation, value guardrails, and feedback. The 72-month lease had a total value of JPY 4,728,240 and a minimum documented annual burden of JPY 788,040. Shoulder arthroscopy volume increased from 220 to 245 procedures (11.4 percent), and nominal procedure-fee revenue increased from JPY 102.8 million to JPY 114.9 million (11.8 percent) between 12-month periods. Planned values, variable costs, direct use logs, and prespecified quality or access indicators were unavailable; CM-based recovery metrics could not be calculated. The documented annual burden equaled JPY 31,522 per observed additional procedure, or 6.52 percent of the observed revenue increase under full attribution.
Conclusions:
The framework operationalizes hospital-level post-adoption and lifecycle HTA as an auditable CSL process. The application demonstrated partial data availability and identified fields that must be preserved prospectively; it did not establish causality, actual recovery, acceptability, or decision impact.
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