What does Predictive Healthcare mean?
The rapid aging demographic directly affect health outcomes for these growing economies. We need to adjust healthcare delivery pathways and financial resource allocation among competing groups of people or programs.
How resource allocation in Healthcare should be
- Seek health services when feeling ill
- Consumer sorts through different care options
- Data is then captured to confirm the diagnosis
- HealthData is captured via medical-grade wearables
- Care option reaches out if there is an anomaly
- Provider already has the historical dataset of relevant biomarkers and genetic predisposition
Google and Apple are into Healthcare.
Google made another significant move into health research on Wednesday, unveiling a new smartphone app, called Google Health Studies, that lets Android users participate in medical studies remotely. The first study run through the app, called Google Health Studies, will look at respiratory illnesses like the flu and COVID-19. The Google Health Studies app is now available in the 👉 Google Play Store.
The app will collect demographic data, like age, gender, and race as well. “Researchers in this study can examine trends to understand the link between mobility (such as the number of daily trips a person makes outside the home) and the spread of COVID-19,” Google wrote in a press release.
The app will send data to researchers using a technique called federated learning, which will batch aggregated trends from multiple devices rather than pull information from each participant individually.
Health Studies is Google’s answer to 👉 Apple’s Research app, which runs on iOS devices. Last year, it launched studies on menstrual cycles, mobility and heart health, and hearing. Apple also lets researchers build their own iPhone apps through its ResearchKit program.
Amazon is in Healthcare.
Voice Services are easy to use and reach users with limited technical understanding. Two major health systems are using Alexa in healthcare today and their predictions for voice assistants future. Machine Learning and Natural Language Processing are the next frontiers in proactive healthcare.
We can place sensors at any relevant touchpoint where the consumers interface with the health system. Their signals can teach an AI to spot signs of disease and trigger automated services. Wearables and scoring will be crucial for service authorization. Either as two-factor authentification for users and secure administration rights. This technology-assisted guidance will immensely help the elderly, who need more assistance and otherwise are left alone. According to voicebot.ai research, 166 Mio use voice search on their smartphone, wherefrom 48,3 Mio use voice search daily. 129,7 Mio use voice search in the car, wherefrom 29,7 Mio use voice search daily. 87,7 Mio use voice search on a smart speaker, wherefrom 43,7 Mio use voice search daily.