Long Waiting Lists - Overcoming The Challange of Generating New Slots

Inability of hospitals to generate new slots for patients

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Photo: 13on

The phenomenon of long waiting lists in healthcare is an issue that has been long present. The moment patient demand for care surpasses the available supply of resources, waiting times occur. The high waiting lists can significantly disrupt clinics and make it impossible to efficiently generate new slots for new patients. Luckily, with modern technology and innovative solutions, several strategies can be implemented to address and overcome long waiting lists in healthcare settings.

Long waiting lists - A complex challenge for clinics

The effort to balance resources in healthcare takes on many different forms and consists of numerous strategies. However, during the global pandemic of 2020, it was clear that many clinics were not ready to tackle the challenge of long waiting lists caused by a sudden influx of new patients. Traditional models of healthcare and old strategies for combating this problem proved inefficient.

Long waiting lists create several problems for healthcare in general. Alongside patient dissatisfaction, additional costs, and no-shows, long waiting lists also create a problem for clinics to generate new slots for new patients within schedules. To manage such a problem correctly and on time, clinics need to employ significant administrative effort and coordination. This, however, is not always cost-effective and does not necessarily mediate the actual problem. Furthermore, it becomes challenging to allocate additional resources to generate new slots if the majority of the available resources are already devoted to mediating the problems of long waiting lists or any other additional problems that may have occurred. What can be done to avoid these long waiting lists then?

Handling the problem efficiently with new AI technology

Overcoming the challenge efficiently takes time but also effort in utilizing new and innovative solutions present in the world of healthcare. One tried and tested solution is the use of natural language processing AI, such as Patricia by Eniax. This kind of AI is designed to not only assist as a virtual health assistant but also help out with many administrative processes and tasks, including the scheduling process for example.

Streamlining these administrative processes (scheduling, patient registration, communication, and other) can reduce delays and improve the overall efficiency of a health clinic. Automated appointment reminders and digital patient communication improve the patient-clinic communication process as well as make it easier for patients to book appointments or reschedule them. Therefore, the schedule of a clinic can be updated quickly, and any kind of missed slot or potential no-show slot can be replaced with a new patient. Moreover, natural language processing AI can identify patients with urgent needs and direct them to appropriate care pathways efficiently. For high-priority patients, any kind of unwanted waiting time is reduced.

Using predictive analytics available through AI also helps with long waiting lists. AI such as Patricia by Eniax optimizes resource allocation according to the needs of the clinic and patients. NLP AI can analyze historical data on patient volumes, and appointment patterns for patients, and take into account other factors to perform a predictive resource allocation that will easily mediate any kind of potential risk of a longer waiting list. One of the biggest advantages of NLP AI with machine learning is its ability to quickly and accurately go through a huge number of data. Patient feedback, satisfaction surveys, and online reviews can all be utilized by AI to find out the best possible approach for scheduling and handling patients in the future.

Quality improvement through innovative care

All in all, AI presents a plethora of solutions and services that can be used by clinics to help remove any kind of unwanted effects of long waiting times. Improving operational efficiency, and enhancing patient care are some of the core tasks of NLP AI, and it is in these areas where such AI shines the most. By being able to streamline many processes and maintain constant and effective communication with patients, AI enables clinics to not only manage their schedules, save money, and clear unwanted waiting lists but also improve access to care for all patients in a proactive way.

© Mladen Petrovic - https://eniax.care