Regular Healthcare Visits

Scheduling yearly healthcare appointments is crucial if you want to stay healthy. While many of us rely on our doctors primarily when we are ill, it is necessary to visit a primary care doctor. A primary doctor can examine you for serious illnesses that you may not otherwise notice.

Get Advice on Healthy Living Techniques

Staying up to date on healthy living techniques will keep you feeling well in the future. However, it can be difficult to keep up with health and wellness trends on your own. Your primary care provider can give you advice and techniques to improve your overall health.

Get Help for Chronic Illnesses

Did you know that 6 out of 10 Americans suffer from some form of chronic illness? Without proper care and guidance, these illnesses can cause serious problems in your daily life. From diabetes to high blood pressure to serious heart conditions, chronic illnesses can put a lot of strain on you.

A family doctor can provide medical care for your chronic illnesses and recommend treatment options to help you live your best life. Whether you need medicine to deal with your illness or visits to a specialist, your local doctor can get you the help you need.

Have Access to Specialists

Certain illnesses, particularly chronic conditions, require you to visit specialists. It can be difficult to get an appointment with even a local specialist without another doctor’s recommendation. Having a primary care doctor can help you get in touch with any specialists you may need in the future.
Your primary doctor can also work directly with the specialist and get them all of the necessary medical documents they will need in order to help you. That way, you won’t have to waste time communicating your exact needs with your specialist.

Have a Place for Your Health Care History

Having your health care history in one place is great, especially if you have an emergency. Rather than trying to remember your own medical history, you have a handy portfolio of any information you might need. This can help you and any future doctors you may visit.

If you have yet to find a health care provider near you, this resource can help find a local doctor to help you.

Find Primary Care Doctors in Your Area

Whether you are healthy or not, you should find primary care doctors in your area. The sooner you find a provider, the better your health prospects will be in the future!
Do you know someone who has yet to find a healthcare provider?
Share this article with your friends and family to help keep them informed and continue reading our blog for more information today!

Also Read: How To Make The Most Out Of AI Apps?

The post Why It’s Important to Find Primary Care Doctors? appeared first on TechReviewsCorner.

With AI taking the center stage in various clinical settings, it will soon be impossible to imagine a visit to the doctor, or avail healthcare facilities that are not impacted by it. Besides, AI coupled with ambient sensors will help doctors shift their focus from less paperwork and admin functions, and more on patient care.

Fast forward to a decade from now. Imagine it’s a cold January day and the flu season, at its peak. Unlike in 2020 where hospitals and clinics were typically overcrowded with patients waiting for treatments, today, (2030) patients and clinician interactions are seamless, hassle-free, and organized with less waiting time involved.

What will bring about this change?

Driven by years of immense pressure on global healthcare due to the shortage of medical professionals in the forthcoming years, connected care powered by AI and data science will soon become a reality.

Let us read how artificial intelligence is set to disrupt the healthcare industry in 2020 and years to follow:

Increased application in imaging diagnostics

According to the World Health Organization, every year, approximately 17 million people die of cardiovascular diseases, heart attacks, and strokes in particular. Therefore, it has become increasingly important to find a way that facilitates the timely detection of diseases while reducing the burden on healthcare organizations. Symptoms like chest pains compel patients to undergo invasive diagnosis, and in more than half the cases, patients have no significant blockage, deeming the test, unnecessary.

Some healthcare equipment providers have already come up with a non-invasive diagnosis that has helped medical experts and patients with detecting the severity of the condition at a lower cost and without causing any discomfort to the patient. The number of MRI and CT scans are on the rise, and AI has the potential to read scans as accurately as an expert physician. In the coming years, AI and ML will review scans for any disease thereby reducing patient waiting time and easing up the medical staff to focus on treatments.

Predictive nature prevents chronic illness

understanding of the variable factors that influence our health. It not only takes into account the prognosis of an illness, but includes the social determinants of health (SDOH) as well. These factors include medical inheritance, lifestyle, work environment, local pollution levels, access to a safe living environment and a stable income, etc, to anticipate chronic diseases and suggest preventive measures beforehand.

Healthcare systems are anticipating that by 2030, predictive analytics of AI will help detect a person who is at risk of developing a chronic disease, and suggest preventive measures before they get worse. There have been successful developments in early detection of chronic diseases like diabetes, COPD ( chronic obstructive heart disease), and congestive heart failure, that are strongly impacted by SDOH, and are finally on the decline. Data science platform like ClosedLoop is providing health care organizations, a flexible analytics solution powered by AI, that enables hospitals to integrate their data effortlessly into machine learning models and get actionable results.

Digital biomarkers to detect neurodegenerative diseases

Biomarkers are biological markers, and are used as an indicator of a biological process inside the human body. Unlocking new biomarkers is crucial in medical research for early diagnosis of diseases. They are used effectively in the detection of neurodegenerative diseases like dementia and Alzheimer’s.

Neurologists are focusing on how ML can help analyze the scans of cerebral cortex scans for accurate and early detection of Alzheimer’s. Dementia, a complex neurological disorder, demands more comprehensive collaboration between biomarkers and AI to evaluate the progression with higher precision, and develop targeted treatments. Biomarkers powered by AI can enrich cognitive test scores using metrics that are unique to the patient like his/her voice that acts as indicators when they are struggling to perform a given task. Patients who are performing within normal ranges, but are still struggling to overcome the challenges of the task, are most likely, suffering from the early stages of the decline. This early detection can help slow down or prevent further neurodegeneration altogether. In the next couple of years, digital biomarkers will establish a medical breakthrough in improving patient outcomes.

The centralized infrastructure for better care

It is estimated that a decade later, hospitals shall no longer exist as one big building that treats multiple diseases. Instead, they will only treat patients with acute illness and prioritize complex surgeries, while less urgent cases shall be monitored at pharmaceutical clinics, same-day surgery centers, or even at the patient’s home. These medical facilities shall be connected to a centralized infrastructure powered by AI.

This network will help identify patients based on their deterioration risk in real-time, and ensure patients and medical professionals are directed to the best treatment available. This enhances the experience of patients, as well as the clinicians who are experiencing high levels of burnout by attending too many patients with fewer resources. By 2030, AI-powered predictive healthcare networks will reduce wait times, improve staff workflows, and also manage the administrative busywork.

The Takeaway:

Although today, we are far from achieving this vision, we are certainly on track with these ideas soon becoming a reality.

AI is already augmenting human capabilities by detecting cancerous lesions on an image, analyzing and assessing physician notes, or optimizing patient flow in emergency care. The predictive power of AI has helped cure critical patients inside the ICU as well as identify at-risk groups so that preemptive care and primary care can prevent unnecessary hospital admission.

The global market for AI in healthcare is expected to grow almost 10 times by 2026. Joint efforts of the government, private organizations, and medical research foundations will ensure AI-powered medical systems are transparent, fully interoperable, and prevent any kind of bias and inequality.

The post AI and The Future of Healthcare In The Years To Come appeared first on TechReviewsCorner.