Integrative healthcare is a growing field of medicine that more and more people are turning to healthcare providers for, but the disconnect between patients and care plagues the approach. We can reduce costs, increase positive patient outcomes, and reduce provider fatigue by efficiently using existing tools with AI and data integration. Integrative healthcare is an approach to healthcare that combines conventional medical treatments with complementary and alternative therapies. It aims to provide patients with the best possible care by addressing their physical, emotional, and spiritual needs to reduce stress, improve sleep, and reduce pain for an overall improvement in the health and well-being of patients. Programs can include exercise, counseling, support groups, and other resources to help patients cope with stress, anxiety, and depression, all contributing factors to declines in health and chronic disease.
Some of the benefits of integrative healthcare are:
· Stress reduction and sleep health.
· Reduction of pain and improved overall health and well-being.
· Help in addressing the emotional and spiritual needs of patients.
· Better management of chronic diseases and aging.
When a patient is engaged, empowered, and practices general good health, it makes all the difference in their healthcare journey, reducing chronic disease and costly or difficult interventions that they may have avoided. Recent studies show that people are putting off healthcare until it's an emergency because of expense and lack of access to providers. What if we had a straightforward way to work with our care providers to understand and become active participants in our healthcare journey while reducing the difficulties? One of the roadblocks to the successful implementation of integrated health care has been the need for time and data to provide continuity of care for these patients across health systems and providers. This 'deficiency of efficiency' costs patients, providers, and medical systems in revenue, time, and health. What can we do?
Artificial intelligence (AI) is rapidly transforming the healthcare industry. AI-powered technologies are developing (especially of interest in Healthcare Innovation Centers) to improve the accuracy of diagnoses, automate administrative tasks, and provide personalized care. One of the most promising areas of AI research in healthcare is using AI to improve the accuracy of diagnoses. AI-powered algorithms can be trained on large datasets of medical images and records to identify patterns that would be invisible to the human eye. For example, AI-powered algorithms have been shown to be more accurate than radiologists at detecting breast cancer in mammograms.
AI is still in its early stages of development in healthcare, but it has the potential to revolutionize how we deliver and receive care. AI can help us improve diagnosis accuracy, automate administrative tasks, and provide personalized care and proper treatment protocols while reducing errors if we use it correctly. Another promising area of AI research is using AI to automate administrative tasks. AI-powered chatbots can answer patient questions, schedule appointments, and process insurance claims while freeing healthcare providers to spend more time on patient care. AI can provide personalized care by analyzing a patient's medical history and lifestyle to identify risks and make recommendations for preventive care. For example, it can help recommend lifestyle changes to reduce the risk of heart disease by using data from patient health monitors and personal devices.
Some specific examples of how AI is useful in integrative healthcare:
· Monitoring and assisting with a patient’s whole health based on their individual case.
· Answering patient questions and scheduling appointments.
· Detecting breast cancer in mammograms.
· Recommending lifestyle changes to reduce the risk of heart disease and stroke.
· Managing chronic diseases like diabetes and asthma.
· Recommending treatment protocols for complex illnesses like MS and Long COVID.
· The development of new drugs and treatments using research data effectively.
· Supporting continuity of integrative health care with complete patient data.
AI is still a rapidly evolving and growing field, and there are many challenges to its widespread adoption in healthcare. One of the biggest challenges is the need for more data and proper and secure data access. These systems need large amounts of data to train and improve, and healthcare data is often siloed and challenging to access appropriately. AI has the potential to revolutionize healthcare, but it still needs vast improvement in its ability to centralize patient and provider data securely and compliantly before we will see widespread adoption of AI in healthcare.
AcquisHealth is working to bridge the gap from AI to patient care by providing a platform that works over the existing healthcare system eHR framework that integrates a patient's single medical record, provider information, treatment plan, patient device data, and drug and diagnostic data from clinical trials, making a connection that supports a patient's health journey from the cradle to the grave. If we all were able to carry our patient data with us and follow a whole, healthy path designed for us, helped along the way with our providers, medical data devices, and all of the latest diagnosis data, our caregivers could focus on patient care when we need it the most for the best possible outcomes.