In our research, we have identified several important issues in healthcare that are addressed with the use of Healthcare AI Assistant (HAIA) solution. Historically, starting in 1960’s, digitization in healthcare was focused on billing and accounting for doctors’ offices and hospitals. Later, starting in 1990’s, digitization evolved to use the available supply chain data to improve healthcare supply and reduce costs.
Today, healthcare digitization is focused on better patient outcomes by using digitization technologies to increase the quality of healthcare solutions for patients. Costs of healthcare services are directly related to patient outcomes such as reducing disease recurrence, ensuring patients have accurate information, and reducing the need for repeat doctor visits for the same condition. Government spent four trillion dollars in health consumption expenditure in 2021. Morgan Stanley predicts a $50 billion market for AI in healthcare over the next decade.
Demand for medical services exceeds supply. For example our research showed that in the U.K., the National Health Services waiting list for patients has hit a record high of nearly 8 million patients waiting for receiving healthcare services, and recently, over ten thousand people in England have been waiting for routine hospital treatment for more than 18 months.
Professionals and patients state that technology platforms are not user friendly. Users seek reliability, quality, and trusted systems in healthcare versus gimmicks and features. Research shows that people want information relevant to their specific condition, from a trustworthy source, easy to access and use such as app loading time, UX design, logical information, and ease of navigation. 57% of customers won’t recommend a website that is poorly designed and even 50% of customers will refuse to use the website even if they like the business.
Needs of younger and older patients generally differ. Younger patients are generally healthier and need preventative programs. On the other hand, older patients may suffer from chronic conditions such as arthritis, vision issues, back problems and have severe health issues due to falls and other conditions. 75.3% of men and 78.1% of women over 55 have at least one chronic condition.
Different comfort level with technology. For example, 53% of kids have a smart phone by age 11 and 84% have a smartphone by the time they are a teenager. (It’s a smartphone life: More than half of U.S. children have one) while the older generation are more adept at using laptop devices, communicating through emails, and getting information from websites
Patients provide information about their condition to different channels such as their doctor during an office visit, urgent care or emergency room visit, telehealth digital doctor’s visits, wearable technologies, pharmacists, etc. This information needs to be stored in the patient’s records. Patients must repeat their condition during each interaction unaware of how much the health practitioner knows about or is familiar with their condition, therefore patients may leave out important pieces of information in their communications with the healthcare practitioners. Research shows that one out of five patients information may not be matched entirely to electronic health records. Additionally, statistics show that poor data costs an average of 15% to 25% of revenue to businesses, and each incorrect record costs $100 to correct.
Unsecure data raises data privacy and security concerns due to data breaches and cyber-attacks. In recent years, some of the violations include the case of Advocate Health Care Network that was fined $5.5 million for unauthorized disclosure of roughly 4 million patient data due to theft. To avoid fines and safeguard patient data, it’s critical to stay updated with HIPAA and observe best practices for data security. . At Health AI Global, we offer a variety of dental services, including regular check-ups, cleanings, and cosmetic procedures.
The healthcare assistant enables healthcare practitioners enhance quality of care, create better outcomes for patients, improve diagnosis, and provide better service for the patients and creates greater trust in the healthcare system. Our solution is an A.I. Assistant that will help practitioners improve delivery of healthcare, improve diagnostic care, improve prescriptive capabilities, and support the patients in their day-to-day care. HAIA uses the latest generative AI technologies and natural language processing to create a user-friendly interface for patients and healthcare practitioners alike.
Users enter their data into the HAIA’s interface thus allowing monitoring of patient’s condition. HAIA can track and identify negative trends early, determine if patient is within acceptable ranges for their given condition, and alert practitioners if the patient’s condition is at a level that requires additional attention before the patient suffers adverse conditions.
HAIA can answers patient’s general have questions about their conditions, how to follow prescribed treatments, side effects of medications, what happens if the miss a dose, and how is their current feeling (pain, nausea, etc.) related to their condition or medications thus questions are answered quickly and accurately without the need to rely on contacting medical practitioners that is expensive and time consuming.
HAIA reduces the chances of errors in medical prescriptions or misdiagnosis by providing diagnosis and prescription support based on information captured from the patients. HAIA helps practitioners ask the right questions based on patient’s stated symptoms and history thus using artificial intelligence to ensure that the patient’s symptoms match the medication drugs being prescribed.
The AI Assistant is especially useful for practitioners and patients that are in remote locations or patients have limited access to healthcare practitioners. Small clinics of a single doctor or a small group of doctors in a remote location would especially benefit from HAIA since the AI provides a higher level of support where access does not currently exist.
Large facilities that have many patients visiting their facilities daily also benefit from an AI assistant because the AI assistants reduce the chaos of having to deal with a large group of patients each day and brings focus on each individual patient by providing specific and important information to the attention of the practitioners and support the decision-making processes.
HAIA will be built on simple user interfaces making the learning process easy. For example, HAIA can summarize patient comments and interactions with the practitioners thus saving time for data entry and allow the practitioners to focus on the patient. HAIA can also provide information on latest research and specialist insights to help practitioners develop better treatment plans. A poor patient experience reduces the trust of patients in the healthcare providers and not trust the digital healthcare that they are utilizing.
With an aging population, rising life expectancy, there is rising chronic diseases that require ongoing monitoring. Wearable devices monitor health of patient in real time and continuously monitor and transmit parameters on patients’ conditions. Wearables such as watches, smart fabrics, smart contact lenses, or orthopedic shoes fitted with sensors in place to capture information such as heart rate, breathing rate, body temperature, blood pressure, blood sugar, blood oxygen saturation, calories burnt, patients’ activity level, sleep pattern, daily activity, eating habits, etc. transmitted over Wi-Fi. AI assistants monitors the patient’s vital sign at a low cost and store and analyze the raw data to understand the status of the patient. AI can recommend adjustments to dosage of medicines to stabilize or improve the patient’s condition, raise alarm if the condition of the patient is deteriorating and the patient needs immediate attention by the physicians. Additionally, the AI provide a summary of the patient’s condition, the patients history, medications being used, to possible causes and possible solutions that are applied to help improve the patient’s conditions.
The Healthcare AI Assistant (HAIA) will be built using existing artificial intelligence technologies based on open-source platforms that are readily available and easily customizable at a reasonable cost. As new iterations of AI technology become available, we will take advantage of new features and capability advances to upgrade. We also expect the power of AI tools to increase significantly allowing us to use the tools more extensively in various faucets of healthcare providing significant opportunities for long term growth of the business. AI assistants is available through different interfaces such as laptops and mobile apps using Python language that is very intuitive.
The Healthcare AI Assistant (HAIA) make use of natural language processing (NLP) for communicating with users. Natural language processing allows computers to make use of human language patterns to both make sense of information they receive in the form of documents or spoken language and provide responses in prompts or spoken language that can be easily understood by users and allowing the AI to communicate in a variety of personas and levels of complexity depending on the preferences and abilities of users.
We use computer algorithms and statistics to train the system on medical terminology, common disease symptoms, potential treatments, nutritional requirements, pharmaceutical medications, exercises used in injuries, vaccinations, and medical procedures. In this way the AI technology provides several solutions to medical practitioners to help with diagnosis, help them with providing cures and recommend medications, as well as provide information to patients to answer questions on treatments given to them by their physicians so that they follow those instructions more accurately and have their questions answered without having to revisit the doctor’s offices. Our healthcare AI Assistant makes use of this technology to document and summarize patient interactions, summarize doctor’s instructions, and answer patient’s questions about treatments. The AI model will continue to learn from ongoing interactions with patients and healthcare practitioners
Additionally, we make use of cloud computing to make online services readily available to all users and simple structured or unstructured language to understand different data types from different sources to create a consistent data for analyzing patient’s health status. Additionally, due to the increased computing power and cheap storage costs using cloud computing, the AI model will have a low operating cost and will be used by small doctor offices as well as large healthcare facilities.
Our plan is to build on existing AI technologies and make the services available to small and medium sized clinics at a reasonable cost.
HAIA will help improve patient health while improving the ability of practitioners to provide better healthcare services to their patients. The practitioners will see improved patient experiences, reduced workload for themselves and their staff, improved record patient record keeping, and lower cost of operations due to fewer errors a higher quality of service.
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