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AdviNOW Medical, an emerging leader in the AI/AR healthcare space, is pleased to announce they were included in Gartner’s annual “Hype Cycle for Digital Care Delivery Including Virtual Care” release published in July.

The report focuses on how healthcare providers are adjusting strategy and operations in response to business drivers, such as cost optimization, increased consumer expectations, clinical staff shortages and new funding models. For many, the transformation of clinical care is at the heart of a new strategic plan that is enabling a shift from traditional care venues, to digitally enabled clinical services and business models. This shift comes as new market entrants, such as retailers and digital giants, offer a range of digital-first direct-to-consumer health and wellness services. 

“We’re excited to see the continued adaptation of our platform across hospitals and clinics all across the country and in several parts of the world. The continued issues like staffing shortages, burnout, and patient satisfaction are a universal problem. We’ve seen that AdviNOW’s product has really helped curb these issues in the clinics and hospitals in which it is utilized,” said AdivNOW CEO James Bates.

Founded in 2016, AdviNOW Medical uses artificial intelligence (AI) and augmented reality (AR) to completely automate the medical patient encounter to eliminate administrative burden at the front desk and enable doctors to work at the top of their license. Both the patient and doctor experiences are augmented with AI and AR to nearly eliminate repetitive tasks and allow the doctor to focus only on the decision of diagnosis, treatment and the patient consult. This automation reduces total provider time-per-patient that increases clinic throughput velocity and reduces patient wait times while maintaining the personal nature of the patient-doctor consult. The AI assures each patient has an exact and personal consistency of care to assure the most appropriate care coordination and optimal outcomes which leads to increased patient satisfaction. AdviNOW fundamentally reduces the cost to run existing clinics and is a common platform to drive point of care to the home. This invention promises to revolutionize healthcare for the entire world so every person has access to affordable care.

Afya Sasa Tanzania has signed a Memorandum of Understanding to introduce Artificial Intelligence (AI) based health services at The National Hospital of Tanzania, Muhimbili National Hospital, Mloganzila in Dar es Salaam, Tanzania (MNH-Mloganzila).  

Afya Sasa Tanzania, a division of Afya Sasa Africa, leverages the power of advanced artificial intelligence provided by Advinow Medical (Phoenix, USA) to assist the clinician in proper diagnosis, testing, and treatment to enhance the effectiveness and efficiency of clinicians while providing the patient enhanced access to state-of-the-art care.  “We believe Artificial Intelligence and Afya Sasa’s System can bridge the gap in unmet healthcare need in the developing world” notes Sri Perera, Afya Sasa Tanzania President.

James Bates, the CEO of AdviNOW Medical stated, “I am excited to be a part of bringing access to care to the people that need it the most. Artificial intelligence allows us to scale the capability of the clinician both in volume and diagnostic capability at a level that has not been seen in history. Healthcare in Africa can now be close to the developed world.”

MNH-Mloganzila is a 650 bed Zonal Tertiary Care Hospital serving between 350 to 500 outpatient visits per day. With over 64 million people, the country of Tanzania  requires the expansion of these specialized care facilities to support the growing population.  MNH-Mloganzila is the newest member of the larger Muhimbili National Hospital System (1500 inpatient beds, 1000 outpatient visits per day) which is the flagship hospital system of the Tanzanian government. Their mission is not only to provide effective, efficient, and high-quality tertiary specialists for the population of Tanzania, but to also lead the localization of medicine and training and research. The vision is to develop into a  centre of excellence for highly specialized services in medicine, medical training, and research. We share the President of Tanzania Samia Hassan’s goal to advance healthcare in Tanzania. “His [Samia Hassan] massive investment in Tanzania’s health sector is aimed at enhancing availability of specialized services and strengthening the country’s position as a healthcare hub for medical tourism”. (All Africa October 12, 2022). 

AdviNOW Medical, located in Arizona, leads the world in healthcare automation and is the first company to completely automate the patient journey.  Artificial intelligence (AI) and augmented reality (AR) powered automation collects information from the patient, places required orders, as well as scribes the encounter. The clinics that use AdviNOW reduce provider time per patient, improve outcomes and increase patient satisfaction while maintaining personal provider – patient interaction. This technology will help level the standard of care across the world. 

In this episode James Bates, the CEO of AdviNOW Medical, shares his personal journey from his early ambitions as an electrical engineer with a dream of inventing to his current role leading a healthcare-focused startup in Scottsdale, Arizona.

James candidly reflects on the challenges he faced and the value of diving into unknown territories. He emphasizes the importance of fundamental knowledge and problem-solving skills acquired through his electrical engineering background, which allowed him to adapt to different professional settings and challenges. He recounts a particularly challenging period of establishing a new business entity in Japan which demanded an intense work schedule and multifaceted thinking.

Throughout the conversation, James repeatedly underscores the importance of understanding fundamentals, whether in engineering, business, or AI. This understanding, he insists, equips one to be successful in any role or situation.

Leveraging the AI technology of Phoenix-based AdviNOW, Afya Sasa Tanzania has signed a Memorandum of Understanding to introduce Artificial Intelligence (AI) based health services to Haydom Lutheran Hospital (HLH), in Manyara Region, Tanzania. HLH is a 420 bed Regional Referral Hospital serving a greater referral area of 5.7 million people located in North Central Tanzania with 12,635 inpatient admissions and 103,173 outpatient visits annually (source: HLH Annual Report, 2017).

Founded in 1955 by Norwegian Missionaries, HLH has served as the trusted source of health care for this region of Tanzania and has specialty and subspecialty care, a research department, Schools of Health Sciences and clinical outreach programs to serve the rural pastoral and farming communities in the region. Haydom “focuses on reducing the burden of disease, poverty alleviation, capacity building and to create good partnerships with other organizations who share the same vision and objectives”.

Afya Sasa Tanzania, a division of Afya Sasa Africa, utilizes the power of AdviNOW Medical’s advanced artificial intelligence to assist the clinician in proper diagnosis, testing, and treatment to enhance the effectiveness and efficiency of clinicians while providing the patient enhanced access to proper care. “We believe Artificial Intelligence and Afya Sasa’s System can bridge the gap in unmet healthcare need in the developing world” notes Sri Perera, Afya Sasa Tanzania President.

AdviNow Medical completely automates the patient journey. Artificial intelligence (AI) and augmented reality (AR) powered automation scribes the encounter and provides coding guidance. The clinics that use AdviNOW reduce provider time per patient, improve outcomes and increase patient satisfaction while maintaining personal provider-patient interaction. AdviNOW engages with the patient, registers them and collects all subjective and objective information that the physician will need to diagnose and treat. The provider portal has a one page decision support tool that provide a summary of the patient potential illnesses and justification based on peer reviewed literature. The provider selects the illness and plan. The AI scribes the SOAP and writes into the EMR freeing the provider from documentation.