ConnectMed is leapfrogging traditional healthcare delivery by building a lightweight, distributed system in low and middle-income countries to provide affordable and convenient care missing in these markets.
They do this through an in-pharmacy telehealth service that harnesses machine learning (ML) to utilise healthcare workers intelligently. Specifically, ConnectMed uses ML to predict what type of healthcare worker can appropriately handle a given patient case (triage/allocation) and to automate supervision and guidance of lower skilled healthcare workers (decision support/augmentation). Physical presence in the pharmacies is vital to gain patient trust, provide needed physical testing & examination, and overcome technology barriers. Health worker shortages have left a primary care gap in low and middle-income countries. Patients have to choose between care that is expensive, inconvenient or low quality. Private care is only affordable for the most affluent and public facilities are sparse and overcrowded, requiring long travel and wait times. Ad-hoc clinics have become common, but are staffed by low-skill health workers with no quality control. Because of this, many are left with no good options and regularly forego care.