The Healthcare industry is poised to boost Patient engagement to the following level with Intelligent Virtual Assistant (IVA) or Medical Virtual Assistants (MVA’s). Patient engagement is one strategy to promote health outcomes and better patient care at lower costs.
Medical Virtual Assistants (MVA’s) aids a Healthcare organization to gather demographic information, insurance details, Patient Health history, finance/costing, procurement details, data processing, and analysis of all the records.
Further, Medical Virtual Assistants (MVA’s) facilitate Healthcare organizations reallocating their IT and human resources to beat the rising health IT costs. This successively assists the organizations to extend Healthcare Quality, Patient Satisfaction, and Patient outcome with an equal or fewer number of employees.
It has been observed that increasing Patient engagement and improving self-management skills for chronic disease will significantly reduce Healthcare inefficiencies. Virtual Assistants empower Patients using the web and mobile-based interactivity and tools to accomplish online Health goals effectively. An extensive range of organizations is integrating intelligent Virtual Assistants as their core technology to boost the Healthcare consumer experience, increase efficiencies, energize mobile engagement, and improve wellness participation rates.
Many Physicians recognize the crucial role Chatbots play in reducing clinician burden while supporting and training. The immense contribution of Virtual Agents has enabled Digital Healthcare to reach new heights of success.
Virtual Assistants are increasingly used for tracking Patients pre-and post-treatment. By adopting text and voicemail confirmation to a previous appointment, Virtual Agents can eliminate cancellations and reduce the outstanding bills. Using phonation Internet protocol (VoIP) implementation for clinical settings, healthcare organizations are using Medical Virtual Assistants thanks to the rising popularity of Artificial Intelligence, Deep Learning, tongue Processing, and Speech Recognition applications in smartphones.
Healthcare providers encourage patients to use their smart devices to track fitness progress, make their payments and schedule many of their day-to-day activities. Many mHealth apps on platforms encourage patients to use their mobile devices to order refills, confirm appointments, track their health, and refill any forms before their assignments.
Fitness devices are enabling patients to trace their health parameters like a vital sign, BP, etc., which are uploaded to the portals that may be accessed by the patients easily through the Virtual Assistants. The adoption of Patient Health portals continues to be growing at a modest rate. Ideally, online portals with Virtual Assistants would be where all Patients attend confirm appointments, fill out their medical and social history form, update health records, view lab results, and pay any outstanding balances using Voice and Text Recognition technologies.
Virtual Assistant has excellent potential for collecting patient information through an integrated VoIP system. Though it’s available in multiple forms, the health IT infrastructure still has to provide data security and integrity of the collected data. Medical Virtual Assistants can interact with Patients and Digitally capture their information. The data is repeated and verified in real-time using cloud technologies and IoT-connected devices. So when a patient interacts with the Virtual Assistant, a question to a medicine hub is checked and compared against any information previously stored within the facility’s database. Once everything is confirmed, all that information is processed and populated into the Electronic Health Records system with no need for paper records. For many people within the aging population, it’s way more effective to possess Verbal communication and visual interaction rather than a call or transmission. Medical Virtual Assistants are accessible via websites, smartphones, tablets, and PCs. These systems can recognize returning patients and remember recent interactions.