Businesses are deeply fascinated with leveraging new technology to outpace each other. Even Amazon is beginning its “disruption” of healthcare. When targeting other industries and applying their methods, Amazon’s capabilities are unquestionably successful - they are consummate experts in continual customer-service focus.
Disruption aims at existing markets filled with already profitable businesses. To be disruptively competitive is incredibly difficult and resource-taxing. So if a business like Amazon is going to create time-saving, cost-efficient healthcare solutions - with the financial backing to implement them, how do we establish a meaningful presence in this space?
The healthcare industry is notoriously resistant to change, and its need for change goes beyond disruption. Amazon’s approach of creating competitive advantage by disrupting existing businesses is inherently limited in scope - because it imitates instead of innovates.
Developing new technologies is non-trivial. Most businesses must work through many ideas before the best technological approach and business models emerge, and focusing on disruption maximises this financial bleed.
dHealthNetwork is focused on creating value through innovation, by seeking low-cost solutions. We look for areas where healthcare services are not being provided, and where people wish they were being provided, then using value-innovation to close those gaps.
We create a space where like-minded people can group together into community, so our growth can be driven directly by our members. This process allows inherent socially conscious, responsible action which is not bound by outdated policies or old technology. We are creating positive change for society, not just focusing on customer service for sales figures. Our business model puts control over personal data first, giving people the ability to profit from their data - not just placing users under surveillance to deliver targeted advertising.
- Blockchain - for storing patient data (like Medicalchain and MediBloc, and us).
- Artificial Intelligence - for finding patterns in stored patient data and predicting possible diagnoses and courses of treatment from it.
- Wearable technology - for recording patient data and alerting AIs and doctors when patterns shift dangerously.
All of these are designed to cut down on unnecessary person-to-person interactions, making life easier and more affordable. We avoid confrontation with larger brands, while building new opportunities for sustainable, non-disruptive growth which benefits people by starting “small revolutions” for the healthcare industry.