HumanAPI, the developer of a health data API platform (Application programming interface) that allows users to share their medical data, has received a USD10 million investment to advance Machine Learning tools. The fund was led by SCOR Life & Health Ventures, a division of the France-based reinsurer. Founded in the year 2014, HumanAPI assists in allowing users to centralize and share their health data from sources like EHR (Electronic Health Records), health apps, pharmacies, wearable devices and labs with healthcare providers and insurance carriers.
Headquartered in San Mateo, CA, HumanAPI also enables its users to share data with the people and organizations which support to manage their health. The health data startup claimed that thousands of organizations are capable of accepting health data through HumanAPI. The US-based company takes a hybrid approach to recover data from across the ecosystem, because of the diversity of underlying data sources. The Heath Data Company also offers access to securely authorized clinical data, and for streamlining insurance and clinical research, it provides enterprise data suite. So, for enabling the continuous retrieval of their data, users require to enter their credentials associated with a given data source and data source management will be performed directly within the application or through downloading a Human API Connect mobile app.
HumanAPI platform also gives opportunities to healthcare providers, where they can integrate its platform into their patient engagement workflow and request patients to share their data with them, and also can embed the software into new patient registration and HIM medical records process. It also provides healthcare providers the capability to get updates as patients other providers, prescriptions filling, or create new data at home. Additionally, the Human API platform could also aid insurance companies to give their customers a simpler and faster purchasing experience, speeding up the underwriting process through electronic health data and automated decision-making processes.