AI in clinical environment: balance innovation, patient care and personalized medicine

In a health care landscape dominated by the rise in chronic condition rates and associated costs, artificial intelligence (AI) has become a powerful tool for doctors seeking to integrate aspects of life medicine and preventive care in their standard practice. Whether used to improve patient compliance, shed light on clinical decision -making or provide remote monitoring and virtual care, AI helps suppliers better support 60% of Americans managing at least one chronic condition – and 40% managing two or more.

The development of AI is particularly appropriate in this regard, as most chronic diseases can be managed effectively and, in some cases, prevented by behavioral and nutritional changes. However, this requires a level of education and monitoring of patients that many providers do not have, given the growing volumes of patients and the greater administrative charges that divert time and other resources for the direct care of patients.

When it is properly designed and implemented, AI allows doctors to add aspects of preventive medicine and chronic care in personalized care plans oriented patients that can be accessible by the patient online or via mobile applications. These plans can be accompanied by additional information on conditions, exercise and meal plans and recommended activities to relieve stress, improve sleep and manage weight.

The result for patients is a better understanding of their conditions, their higher health literacy and the improvement of health and overall well-being. For doctors, this leads to better results, greater satisfaction of patients and more successful participation in value -based care and quality models.

Manage chronic conditions more effectively

The affordable care law has made more than 100 preventive services available to patients at no cost on foot, a popular aspect of the program. However, the percentage of adults aged 35 and over who received all their recommended high priority projections increased from 8.5% in 2015 to only 5.3% in 2020. There is no doubt that the continuous impacts of the world pandemic further reduced compliance.

The challenges to reverse this trend and improve chronic care management and patient compliance could not be higher. Almost two thirds of the deaths caused by chronic conditions can be attributed to unhealthy lifestyle behavior, and almost 80% of chronic conditions could be avoided if people adopted healthy behavior. Those who have chronic conditions represent more than 90% of health spending in the United States, which exceeds 4.75 billions of dollars per year.

Low health literacy also contributes to the problem. A literacy group for adults reports that only 12% of Americans have sufficient literacy to navigate in health care establishments and act on information provided, while a third party fights with simple health tasks. Limited health literacy makes drugs difficult to take medication, manage health problems, effectively use care and access to screening and health prevention services. The increase in health literacy could prevent nearly a million hospital visits each year and save $ 25 billion in excess health expenditure.

These statistics are the reason why more doctors adopt AI and advanced analysis, mobile technology and data interoperability to integrate preventive medicine and lifestyle in standard care practices. Some adopt complete health platforms that bring together and analyze the data of medical records, connected and intelligent devices and health and well-being applications to generate recommendations for care and processing plans based on evidence. In some cases, these platforms are part of mobile tools that allow patients to implement these care plans, including tailor-made well-being strategies such as structured exercise programs, personalized meal plans and stress management techniques. Some also include access to live fitness classes or on demand, monitoring nutrition and hydration and other tools to improve the commitment and support of patients.

Finally, the AI ​​addresses the disconnection between the recommended guidelines and the action by increasing commitment with personalized and usable education and updates at appropriate times. Rather than crushing patients with all the details, the AI ​​tools organize and push tailor -made bites and reminders – for example, drink water, exercise or make an appointment – delivered to the patient via a patient portal, a SMS or another favorite communication channel. These daily or weekly updates also help strengthen healthy habits and encourage continuous commitment.

Activate lifestyle – and rescue – behavioral changes

Lifestyle medical interventions can approach the underlying causes of chronic diseases by simplifying and encouraging the positive activities necessary to improve health, in particular appropriate nutrition, greater physical activity, sleep optimization, stress and weight management, better social connections, reduction in drug addiction and behavioral coaching.

For example, diabetes currently affects almost 12% of Americans and is the most expensive chronic condition, representing $ 307 million in direct medical costs each year, according to the CDC. 38% of Americans have a pre-proneewoman. While genetics and age -related risk factors can influence WHO to develop diabetes, it has been shown that lifestyle changes reduce the risk of type 2 diabetes in high -risk individuals by more than 50%.

The real advantages of lifestyle or preventive medicine are carried out when each patient with chronic disease has a unique treatment plan. However, doctors often do not have the tools to fully integrate all the components necessary to develop these plans. The conflicts that occur between the most common treatment elements of drugs and lifestyle changes are exacerbated between the most common treatment elements. For example, steroids can cause weight gain and / or interfere with sleep, while specialized advice can inadvertently compete with prescribed treatments. Patients are stuck in the middle, uncertain of the guidelines to follow and how.

The integration of generative AI into DSE systems facilitates better diagnostics and processing plans by analyzing complete information on patients, best practices based on evidence and latest research and recommending a basic diagnosis or personalized treatment plan. Doctors can then refine these recommendations according to their expertise and patient details. The AI ​​can also examine the patient’s health history, lifestyle and activity levels and establish their risk of developing certain conditions unless proactive measures are taken.

Conclusion

The AI ​​transforms health care in many ways, especially by allowing doctors to integrate life medicine or preventive care and the management of chronic diseases in the patient -centered treatment plans. By providing personalized education, reminders and usable information, AI helps to fill the gap between clinical recommendations and patient engagement, reduction of complications, improvement of results, cost reduction and reduction in the use of care.

Photo by user Flickr Qwedgeonline

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