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.