AI Improving Medication Adherence

The Morisky Scale is one such tool that has been developed to address the challenge of healthcare providers treating their patients effectively. With the help of AI, use of the Moriskyscale has the potential to improve healthcare around the world.

The Morisky Scale is a tool used to assess patient adherence to medication. It was developed by Dr. Donald Morisky and his colleagues in the late 1970s. The tool consists of a questionnaire that assesses the patient's adherence to medication, and the results are used to determine the level of adherence. The questionnaire includes questions about the patient's behavior, such as forgetting to take medication, not taking medication at the correct time, or stopping medication without consulting a healthcare provider.

However, assessing patient adherence using the Morisky Scale can be time-consuming and requires healthcare providers to manually score the questionnaire. This is where AI comes in. AI can automate the scoring process, making it more efficient and accurate. Machine learning algorithms can be trained to recognize patterns in the patient's responses and score the questionnaire accordingly. This saves healthcare providers time and resources, allowing them to focus on other aspects of patient care.

Furthermore, AI can be used to predict which patients are at risk of non-adherence. By analyzing patient data, including medical history, demographics, and lifestyle factors, AI algorithms can identify patterns that may be indicative of non-adherence. Healthcare providers can then use this information to intervene and provide additional support to patients who are at risk of non-adherence. This can help to prevent adverse health outcomes and improve patient outcomes.