pLOG

2024-03-08

The application of AI in specialized patient support programs.

The PATIENTSFORCE AI development team has recently developed multiple services and has placed greater emphasis on three primary goals of patient support programs:

  1. Facilitating patients to receive treatment promptly.Reducing obstacles for patients throughout their treatment journey.
  2. Assisting patients in adhering to treatment regimens, ensuring they derive maximum benefits from their treatment.
  3. These goals are achieved through the development and application of AI technology in a renewed and effective manner.

 

Efficient Review and Qualification Certification for Enrollment

The majority of pharmaceutical industries believe that providing effective support programs to patients is a crucial goal. In delivering patient support services, assisting patients in quickly obtaining qualification certification is a key task. From traditional paper-based document processes to recent developments in online electronic operational services, the time spent on communication and administrative operations between patients, healthcare personnel, and pharmaceutical companies has been significantly reduced. With our current service system, upgrading AI recognition technology allows patients and healthcare personnel to provide various electronic documents or vouchers in the first instance, enabling more precise, convenient, and predictive understanding of the status of assistance support program access.

Precise Provision of Supportive Resources

In addition to further improving service efficiency, AI-assisted data analysis can provide patients with needed resources promptly and comprehensively through compliance management, offering patients more comprehensive support services with controlled information.

Improving Patient Experience with Conversational AI

Utilizing conversational AI solutions can automatically address common patient needs, allowing patients to self-solve these common issues. Through intelligent virtual agents (IVA) on phone lines, conversational AI allows patients to easily state the reasons for their calls in their own words and guide them to self-service options or direct them to the most suitable live customer service to meet more complex needs. Similarly, patients can chat with IVA on their mobile phones to quickly receive information to resolve their issues. By automating patient support, not only can it reduce the workload of online customer service centers and costs, but it can also provide patients with a fast, smooth, and effective experience automatically.

Utilization of AI Voice Recognition and Physiological Data Analysis for Comprehensive Patient Treatment Information

In the process of patient support services, introducing AI voice recognition technology to intelligently summarize care record content can provide a clearer and more complete understanding of patient adherence. Furthermore, with the maturity of smart wearable device technology, collecting relevant physiological data and analyzing summary reports allows healthcare professionals to better understand changes in patients' conditions during treatment, providing responsive treatment measures and enhancing doctor-patient relationships.

AI Analysis and Summarization to Streamline Medication Application Work for Healthcare Professionals

Utilizing Microsoft Azure cloud service architecture for private clouds ensures that all patient personal data and other public data are isolated and will not be reused, integrating personal patient medical history data, through our constructed computing models, different application standards applicable to different diseases are analyzed and summarized based on patient medical history cases, quickly producing medication application-related data sources. This can shorten the time spent by healthcare professionals on each patient application case, eliminating the time-consuming task of searching for and matching conditions in large volumes of medical records.

The application of AI technology in the medical field is expanding comprehensively. As the core research and development team of PATIENTSFORCE, SAI HealthTech will continue to provide value-added services that benefit patients, healthcare professionals, and pharmaceutical companies alike.

General Manager of Medicloud Biotech, Paza Yang