Chronic diseases make up a large part of healthcare use and costs in the United States. About 120 million adults have hypertension. Around 80% of them do not keep their blood pressure under control. When blood pressure is not controlled, people risk heart disease, strokes, kidney problems, and a lower quality of life. Diabetes affects more than 37 million Americans. Many with diabetes also have hypertension or other health issues, which makes managing these diseases hard.
Most care plans use one-size-fits-all treatments and focus mostly on medicines. But this kind of care does not work well for every person. Recent research shows that 80% of adults with hypertension in the U.S. do not control their condition well. This is often because they do not get care that fits their needs or is consistent.
Neighborhood Healthcare and CIPRA.ai ran a pilot program to manage hypertension using AI on mobile devices. The program included 130 patients aged 24 to 84, with 46 men and 84 women. All had hypertension. Over 12 weeks, patients managed to lower their blood pressure without taking more medicine.
The results were clear. The number of patients with Stage 2 hypertension dropped by over 30%. On average, their top blood pressure number fell by 14 mmHg and the bottom number by 9 mmHg. This happened because AI gave personalized advice based on each patient’s health and daily life.
CIPRA.ai’s “digital twin” was a key part of this. It made a virtual model of each patient using their health data. This helped create advice just for them. For example, a patient named Tamara Yrigoyen said simple tips like parking further away helped her take more steps, which improved her blood pressure.
Dr. Michelle Hughes from Neighborhood Healthcare said patients got more involved in their care thanks to the AI. The pilot showed that adding AI to chronic disease care can lower the need to increase meds. This makes care safer and more lasting.
Because the hypertension pilot went well, the next phase will study 250 patients, mainly those who have both diabetes and hypertension. Managing both diseases is harder because they affect each other.
Diabetes and hypertension together increase risks for heart and kidney diseases. Treating both means using many medicines, changing lifestyles, and checking health often. AI can help by providing real-time, updated plans that fit each person’s needs.
Using AI to watch health data closely and give advice helps doctors reduce hospital visits, stop disease complications, and help patients follow their treatments better.
For medical managers and IT staff, AI can do more than help patients. It can make office work and medical tasks easier. Automation can lower the work for staff, cut mistakes, and help patients stay involved. This is important when many patients have hard-to-manage diseases.
Simbo AI is a company that uses AI for front-office phone work. Automated systems can handle calls for scheduling, medication refills, and basic questions. This saves time for medical workers and gives patients quick answers. Quick communication is very important for chronic disease care.
AI automation can also work with remote monitoring programs. Data from wearables or apps goes straight to the right healthcare workers. AI can check this data for signs like rising blood pressure or missed medicine. When needed, it alerts staff to act before things get worse.
Practice owners who use AI in front-office tasks spend less money and their staff works better. IT managers find these systems often connect well with electronic health records (EHRs), keeping data accurate and making care smoother.
AI helps with remote patient monitoring by watching patients’ health outside the clinic all the time. It looks at daily health numbers, if patients take their medicines, and symptoms they report. This helps create care plans made just for each person.
Remote monitoring reminds patients to take medicines and sends alerts if needed. This helps patients stick to their medicines. Studies show that taking medicines properly slows disease and lowers hospital visits. This improves life quality and cuts health costs.
AI can find early signs when a patient’s health gets worse. Doctors don’t have to wait for the next appointment to make changes. They can use data from AI to help the patient sooner. This saves resources and lowers emergency visits.
Telehealth platforms also use AI for communication and education. These tools make care easier for patients to reach. Medical managers can use these systems to help patients manage their diseases better.
Using AI is promising but also challenging. Medical leaders must handle these carefully. Keeping data private and secure is very important, especially when health info is collected remotely. Laws like HIPAA must be followed.
Another challenge is making sure AI systems work well with current medical records and systems. Without good integration, workflows and data may not improve.
Training healthcare workers is needed. Staff must learn how to use AI tools well while still using their medical knowledge. Getting doctors and nurses to accept AI helps make it work smoothly.
It is also important to make sure all patients can use AI tools, even those in rural or less served areas. Practices should pick AI that fits different groups and abilities.
Using AI in managing diseases like hypertension and diabetes offers a new way to give healthcare. The pilot by Neighborhood Healthcare and CIPRA.ai shows that AI personal care can improve patient health. It helps reduce the need for more medicines and supports lifestyle changes that match each person.
From the medical office side, AI tools plus automation like Simbo AI’s can make work easier and improve care quality. As AI systems grow, they give chances for U.S. healthcare to better handle chronic diseases, make patients happier, and lower costs.
Overall, AI is set to become an important part of care plans for patients with complicated conditions like hypertension and diabetes.
The pilot program aims to demonstrate how mobile AI technology can help patients achieve lower blood pressure measurements quickly and maintain normal levels without adding more medications.
The pilot was conducted in collaboration with CIPRA.ai, which specializes in AI-driven chronic disease management solutions.
CIPRA.ai’s technology creates a ‘digital twin’ by integrating health data to understand lifestyle and context, providing personalized insights and recommendations.
The pilot enrolled 130 hypertension patients, consisting of 46 men and 84 women aged between 24 and 84 years old.
The program demonstrated a reduction of over 30% in Stage 2 hypertension patients, with an average systolic reduction of 14 mmHg and a diastolic decrease of 9 mmHg over 12 weeks.
Participants, like Tamara Yrigoyen, expressed satisfaction, noting significant improvements in their blood pressure and overall health, attributing success to personalized, focused recommendations.
The next phase will focus on patients with diabetes, including those with comorbid conditions like hypertension.
The upcoming phase of the pilot aims to enroll 250 additional patients.
The article highlights that generic care contributes to uncontrolled hypertension, with 80% of U.S. adults affected by the condition not having it under control.
CIPRA.ai’s mission is to transform chronic disease management by providing personalized, AI-driven solutions that empower patients to achieve better health outcomes with confidence.
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