To construct a full life cycle quality management model for traditional Chinese medicine (TCM) diagnostic and treatment equipment and evaluate its application effects.

A total of 357 TCM diagnostic and treatment equipment units under management and 360 patients receiving physiotherapy at a tertiary Class-A TCM hospital were selected as the research subjects. From January to December 2024, the traditional equipment management model was implemented for these 357 units, and 180 patients were included as the traditional equipment management group; from January to June 2025, the full life cycle quality management model was implemented for the same 357 units, with the information management platform as the core hub and the unique electronic identity file of the equipment as the data mainline, covering the entire process of procurement and acceptance, usage monitoring, preventive maintenance, fault response and scrap replacement, and 180 patients were included as the full life cycle quality management group. Monthly average failure rate, intact rate, idle rate, preventive maintenance execution rate, adverse event incidence, maintenance response time, and patient clinical efficacy were compared between the two groups.

Compared with the traditional equipment management group (2.35%, 3.08%, 2.80%), the full life cycle quality management group showed significantly lower monthly average failure rate (0.67%), idle rate (0.56%), and adverse event incidence (0.56%); maintenance response time was shorter [(2.00±0.45)h vs. (6.48±1.23)h]; intact rate (96.64% vs. 85.15%) and preventive maintenance execution rate (95.52% vs. 68.35%) were markedly higher; and the total clinical effective rate (93.33% vs. 78.33%) was significantly improved. All differences were statistically significant (P<0.05).

Compared with the traditional management model, the full life cycle quality management model for TCM diagnostic and treatment equipment significantly reduces equipment failure rates and adverse event incidence, enhances operational efficiency and patient clinical outcomes, and demonstrates considerable value for broader implementation.