The AI R&D team has recently developed a number of services and is more focused on the three main objectives of the patient support program:
1. Get patients to get treatment as soon as possible
2. Reduce the patient’s obstacles in the treatment journey
3. Help patients stay on to treatment so they can get the full benefit of treatment
Through the development and application of AI technology, these goals can be achieved in a new and effective way.
More efficient vetting, qualification, and enrollment in the program
Almost all of the pharmaceutical industry considers it an important goal to provide patients with access to effective support programs. One of the key tasks is to help patients quickly obtain qualifications in the provision of patient support services. From the traditional paper-based operation mode to the development of online electronic operation service mode in recent years, the lengthy communication and administrative operation time between patients, medical staff and pharmaceutical manufacturers has been greatly shortened. On top of our existing service system, we have upgraded our AI recognition technology to enable patients and healthcare professionals to provide a variety of electronic documents or receipts in a more accurate, convenient and predictable way to understand the status of the assistance support plan they are receiving as soon as possible.
Deliver ancillary resources with precision
In addition to improving service efficiency more efficiently, AI-assisted data analysis can also better understand patients and provide patients with the resources they need in a one-stop and timely manner. Through compliance management, under the control of information, the provider provides more complete support services.
Improve the patient experience with conversational AI
With conversational AI solutions, support can be automated to address common patient needs by enabling patients to help themselves resolve these common issues. With an intelligent virtual agent (IVA) online over the phone, conversational AI allows patients to simply say in their own words why they are calling and directs them to the requested self-service option or directs them to the most appropriate live agent for more complex needs. Similarly, patients can chat with the IVA on their mobile phones to quickly receive information to quickly resolve their issues. By automating patient support, in addition to reducing the number of virtual call center processes and reducing costs, it can also provide a fast, smooth, and effective patient experience by automating it.
AI voice recognition and physiological data analysis give medical staff more comprehensive patient treatment information
In the process of patient support services, AI speech recognition technology is introduced to intelligently summarize the content of care records, which can provide a clearer and more complete understanding of patient compliance. In addition, with the maturity of smart wearable device technology, medical professionals can also have a more complete understanding of the changing status of patients during treatment, provide responsive treatment measures, and improve the doctor-patient relationship by collecting relevant physiological data and analyzing summary reports.
AI analysis and summarization to release the drug application work of medical staff
Using Microsoft Azure cloud services to build a private cloud, we can ensure that all patient personal information is isolated from other public information, and will not be used twice, connect the patient’s personal medical record historical data, and through the computational model we have constructed, we can analyze and summarize the application criteria applicable to different diseases, analyze and summarize the corresponding patient’s historical cases, and quickly produce relevant data sources for drug application. It can shorten the time-consuming operation of medical staff who need to search and compare and calculate the conditions one by one from a large number of medical records in each patient application case.
As the integrated center of patient services and the core R&D team of PATIENTSFORCE, we will continue to be committed to providing win-win value services for patients, medical staff and pharmaceutical manufacturers.
Yang Chaojun, general manager of Caiyao Biomedical Technology
