Zentree Labs - Medical Treatment Recommendation System

The medical treatment recommendation system is useful when it comes to providing personalized and effective care to patients. AI systems developed for this purpose can select the most appropriate medication for patients, considering their individual characteristics, preferences, and conditions. The advanced technologies available nowadays can help develop such recommendation systems which can lead to more concise decisions. These systems can be of great assistance to medical care providers in the field of health care.

Benefits

Finding solutions for including a recommendation for the dosage of a medicine
Verifying the results, e.g., by increasing testing, especially the sample of testing
Finding solutions that are highly scalable

Implementations

Clinical Practitioners:

Persuade physicians to make use of best-suited treatment keys aims to reduce the costs of the patient management.
Improve the management of a diagnosis of the disease by helping the physicians to discover additional keys that could improve the treatment of patients.

Physicians:

Best medical care for the patient with optimum economic impact (i.e. cost efficiency) for those who have to pay the bill finally. So, if there are two equal treatments available, the system should recommend the cheaper one with the same if not better treatment quality result than the more expensive option.
Depending on the health system of a particular country and how billing/charging is carried out, there may be another conflict that the physician has to contend with: optimizing the cost-income ratio of the organization that is treating patients.