Larry S. Schwartz is CEO, GigFlex LLC, Plano, Texas.
Home Healthc Now. 2020 Nov/Dec;38(6):307-310. doi: 10.1097/NHH.0000000000000913.
Industries that face challenges in staffing and scheduling have successfully addressed these issues through the implementation of intraday staffing automation. Home healthcare, however, introduces an additional dimension: location-specifically, efficiently scheduling the appropriate healthcare worker based on their projected location at a given time with the location of a patient who needs care. Geo-Intelligent Scheduling has the potential to effectively address the unique staffing/scheduling challenges in home healthcare: the ability to get the right clinician to the right patient at the right location at the right time by taking into account the real-time location of the patient and clinician throughout the day. Geo-Intelligent Scheduling also has the potential to automatically create route-optimized intraday schedules for clinicians and increase effective staffing capacity by over 16% with no additional labor cost. Finally, Geo-Intelligent Scheduling can potentially improve appointment-time adherence, automate Electronic Visit Verification compliance, enhance patient/clinician communication, and improve employee retention through self-scheduling empowerment.
面临人员配置和调度挑战的行业已经成功地通过实施日间人员配置自动化来解决这些问题。然而，家庭医疗保健带来了一个额外的维度：具体而言，根据特定地理位置上需要护理的患者的位置，高效地安排合适的医疗工作者。地理智能调度有可能有效地解决家庭医疗保健中独特的人员配置/调度挑战：通过考虑患者和临床医生全天的实时位置，将合适的临床医生在正确的时间派往正确的地点的能力。地理智能调度还有可能通过自动为临床医生创建路线优化的日间时间表，将有效的人员配置能力提高 16%以上，而无需增加劳动力成本。最后，地理智能调度有可能通过自我调度授权来提高预约时间的遵守率、实现电子访视验证的自动化、加强患者/临床医生的沟通，并提高员工保留率。
