The collaboration in the healthcare sector, particularly in the context of genomic data and medical information, faces significant challenges due to data ownership issues and a lack of integrated systems. Despite the availability of advanced data analysis technologies like business intelligence, machine learning, and artificial intelligence, these tools are only as effective as the data they are trained on. Key players in the US healthcare system—such as patients, healthcare providers, pharmacies, pharmacy benefit managers, health insurance companies, research teams, and drug manufacturers—each hold critical pieces of patient data, but collaboration between them is often manual and fragmented. The introduction of IoT devices has improved data collection, yet the systematic sharing of data across these entities remains limited, hindering comprehensive healthcare initiatives. The article suggests that while technological solutions exist, the real challenge lies in overcoming regulatory and technical barriers to enable seamless data sharing and collaboration among stakeholders.