使用基于人工智能的门诊虚拟分诊:肥胖或超重个体的人口统计学、合并症和求医意向

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES
Telemedicine reports Pub Date : 2025-05-22 eCollection Date: 2025-01-01 DOI:10.1089/tmr.2025.0024
George A Gellert, Anna Nowicka, Maria Marecka, Gabriel L Gellert, Tim Price
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引用次数: 0

摘要

目的:通过与正常体重指数(BMI)人群的比较,探讨肥胖/超重患者在门诊采用基于人工智能的虚拟分诊与转诊(VTCR)的情况及就医意向。方法:在56个月的时间里,比较BMI高和正常患者的VTCR遭遇,以评估人口统计学、临床风险、症状、病情、分诊建议和护理意图的差异。结果:在7,222,363例就诊中,29.6%的患者报告有肥胖/超重状态,随年龄增长而增加,在45-59岁达到高峰(46.4%)。高BMI组平均年龄为35.2岁,正常BMI组平均年龄为28.7岁。肥胖/超重患者报告非传染性疾病的频率为高血压(相对危险度[RR] 2.6)、高胆固醇血症(RR 2.4)、糖尿病(RR 2.4)和哮喘(RR 1.4)的两倍(p < 0.05)。肥胖/超重组经常报告肌肉骨骼疾病和胃食管反流、慢性疲劳症状,并且高血压、阻塞性睡眠呼吸暂停、慢性肾脏疾病、慢性心力衰竭、胆囊结石和周围血管疾病的可能性高出4倍(p < 0.05)。BMI高的患者接受紧急门诊咨询或急诊科评估的分诊建议的可能性略高。超过三分之一的患者不确定适当的护理水平,但在VTCR后,这一比例下降了一半(56.6%)。结论:VTCR可有效识别高BMI个体及其相关合并症。结果表明,肥胖/超重患者利用医疗保健服务的比率较高。VTCR有望成为管理人群肥胖/超重状况的有价值的患者参与、筛查、早期诊断和健康监测工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demographics, Comorbidities, and Care-Seeking Intent Among Individuals with Obesity or Overweight Status Using Outpatient AI-Based Virtual Triage.

Objective: Compared with persons with normal body mass index (BMI), examine the profile and health care-seeking intent of individuals with obesity/overweight status engaging outpatient artificial intelligence-based virtual triage and care referral (VTCR).

Methods: VTCR encounters of patients with high and normal BMI were compared over a 56-month period to assess differences in demographics, clinical risks, symptoms, conditions, triage recommendations, and care intent.

Results: In 7,222,363 encounters, 29.6% of patients reported having obesity/overweight status, increasing with age and peaking at 45-59 years (46.4%). Mean age for the high BMI group was 35.2 years and 28.7 years in the normal BMI group. Patients with obesity/overweight status reported noncommunicable diseases twice as frequently, including hypertension (relative risk [RR] 2.6), hypercholesterolemia (RR 2.4), diabetes mellitus (RR 2.4), and asthma (RR 1.4) (p < 0.05). The group of individuals with obesity/overweight status frequently reported musculoskeletal disorders and gastroesophageal reflux, chronic fatigue symptoms, and were up to four times more likely to have hypertension, obstructive sleep apnea, chronic renal disease, chronic heart failure, cholecystolithiasis, and peripheral vascular disease (p < 0.05). Patients with high BMI were slightly more likely to receive triage recommendations for urgent outpatient consultation or emergency department evaluation. Over one-third of patients were uncertain about the appropriate level of care to engage, but this decreased by half (56.6%) following VTCR in both groups.

Conclusions: VTCR effectively identified individuals with high BMI and their associated comorbidities. The results suggest that patients with obesity/overweight status utilize health care services at higher rates. VTCR holds promise as a valuable patient engagement, screening, early diagnosis, and health monitoring tool in managing obesity/overweight status in populations.

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