The concept of hospital-at-home units, the care delivery model that allows patients to receive medical care in the comfort of their own homes rather than being hospitalized in a traditional hospital setting, is becoming increasingly popular. This approach not only benefits patients, allowing them to be surrounded by their loved ones and enjoy the familiarity of their home environment, but it also has a positive impact on the healthcare system as a whole. By reducing the number of hospital admissions and length of stay (LOS), hospital-at-home programs help to ease the burden on hospitals
Despite the success of hospital-at-home units, there are still some challenges that need to be addressed to scale these programs. One of the most significant challenges is the need for patient follow-up and reliable communication. Patients in hospital-at-home units require continuous monitoring, and healthcare providers need to stay in touch with them to ensure that they receive the appropriate level of care when needed. This requires medical staff to maintain close communication with patients, which can be time-consuming and labor-intensive, limiting the scalability of the programs.
To address this issue, many hospitals are turning to AI virtual medical assistants for patient follow-up. These assistants are designed to scale the monitoring capacity of nurses and case managers, being able to autonomously call patients and report back to the care team their vitals, symptoms, and needs.
With more than 60,000 patients reached and an adherence rate of more than 95%, our voice-based virtual medical assistant LOLA has proven to bring several benefits to HAH units. One of the most significant benefits is the ability to automate early morning follow-up calls, freeing up medical staff time to do it and helping them to focus on the more complex patient needs. Moreover, LOLA can help hospitals ensure that patients receive consistent and high-quality care while maintaining the human touch essential for the best patient care.
Usually, in HaH programs, LOLA calls all patients early in the morning, i.e. 9 am, and by 9:15h healthcare professionals have accessible in Tucuvi’s platform (or in their EMR if integrated) all patients status, with and prioritized list of the ones with any concerning alert, personalized in a per patient basis. By monitoring patient responses and behaviors, our virtual medical assistant can quickly identify any issues or concerns that may arise and alert medical staff as needed, so patients receive timely interventions.
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Hospital at Home units are increasing their capacity as hospital early discharge, home monitoring, outpatient surgery, and many other health conditions are switching from healthcare facilities to home care. HaH units need tools to scale patient information collection and care prioritization and to reduce HCPs daily workload manually following up patients. To face these challenges, Tucuvi is empowering HaH units to deliver the highest quality of care by combining the most advanced clinically-validated voice conversational technology with low-tech user experience, while easing HCPs daily workload.
If you want to experience LOLA first hand, ask for a Demo and our team will give you access to a Demo environment of Tucuvi’s platform.
Whether you want to scale your capacity of care, automate repetitive tasks, improve care team efficiency, or reduce relapses through early interventions, we have a solution for you.
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