Blockchain technology – is a shared, immutable record of peer-to-peer transactions built from linked transaction blocks and stored in a digital ledger. This allows each separate patient data source to be a ‘block’ part of a complete, unalterable patient data profile which can then be shared securely with healthcare providers or research organizations. Blockchain can help organizations bridge traditional data silos, dramatically increase IT and organizational efficiencies, keep business and medical data secure, and streamline patients’ access to medical data. It has the potential to help overcome the limitations of large-scale sharing of health data currently holding back innovation; namely data security and patient privacy concerns during the data exchange process. Blockchain increases transparency not only between patient and doctor, but between different healthcare providers. 
Bio-telemetry – collects meaningful data and analytics through sensors to monitor variability in heart rate and other vital signs throughout the day. Wearable technology, including smartwatches, eyeglass displays, and electroluminescent clothing, are among the many devices under development or already in the marketplace. These offer individuals an insight into their own physiology and behavior, helping them improve their health and wellbeing. It can be used to: monitor patients in their own homes and provide objective insights into what’s happening between hospital or clinic visits; help clinicians determine how patients are responding to treatment or medication and how their recovery is progressing. It can also reduce the need for hospital appointments. 
Drug development and precision medicine based on genomics and big data – since the launch of the Human Genome Project, more than 1,800 disease genes have been discovered, and over 2,000 genetic tests for human conditions developed.  Genomics is a major part of digital health, not a side note. Computers and robotics are necessary to, among other things, scale genomic sequencing and enable gene editing. This development has benefitted oncology most, and on a much smaller scale, non-oncology indications have explored targeted approaches, primarily split between therapeutic areas of the central nervous system, infectious disease and the autoimmune disease, cystic fibrosis.
Virtual rehabilitation in orthopedics – physical therapy is a big part of orthopedic care. As the era of value-based care and bundled payments takes hold, there will be an expansion in availability of new sensor devices connected to a mobile app that can guide patients through their daily exercise routine following orthopedic surgery; recording range-of-motion, which is key to better clinical outcomes. The data is also shared in real time so clinicians can tweak exercise protocols, and a virtual avatar can guide patients through exercises. The system can also collect patient-reported outcomes to support reimbursement for orthopedic procedures such as joint replacements. 
The above is not simply about what the technology and tools can do, but what healthcare practitioners no longer have to do. By freeing up clinicians’ time, they can focus more on delivering the face-to-face care and, with the help of technology, maximize levels of performance and health outcomes. The greatest potential comes from partnering human intelligence with probability tools and analytics to help improve the precision around diagnoses and treatment options and embedding quantitative data at the point of care.