Efecto de la aplicación del modelo de enfermería de proceso completo basado en el modo de atención médica inteligente...

The objective of this study was to evaluate the efficacy of an integrated whole-process nursing approach grounded in smart healthcare principles for perioperative care in patients undergoing Mako robot-assisted total knee arthroplasty (RA-TKA), thereby proposing an innovative nursing protocol for clinical use. A total of 445 patients who received Mako robot-assisted TKA between January 2022 and May 2025 were retrospectively analyzed. Participants were divided into two groups: a control group received conventional nursing interventions and an observation group received the smart healthcare-based whole-process nursing model. Outcome variables compared between the groups included postoperative pain levels, hematological indices (erythrocyte sedimentation rate [ESR], albumin, hemoglobin, and D-dimer), Hospital for Special Surgery (HSS) scores, length of stay (LOS), and complication rates. Results indicated that, compared to the control group, the observation group exhibited significantly improved postoperative hemoglobin and albumin concentrations (P < 0.01), along with notably lower pain scores, D-dimer levels, and complication incidences (P < 0.01). Additionally, significant enhancements in knee joint function scores were observed following implementation of the smart healthcare-based nursing model (P < 0.001 or P < 0.05). Thus, applying a whole-process nursing model integrated with smart healthcare effectively mitigates hemoglobin depletion, reduces postoperative pain, decreases D-dimer elevation, shortens hospital stays, enhances knee functionality, and lowers the rate of complications, demonstrating substantial clinical value and potential for broader implementation.