mHealth -> medical and public health system supported by mobile devices
Diversifying beyond the core hospital -> investing in outpatient services, integrating physician practices
Transformation volume to value (payment systems based on fee-for-service; limited focus on outcomes à lower cost, higher quality, information sharing, investment into supporting clinical integration, etc) Connecting to Care program in Saskatchewan, Canada -> preventing hospitalisations and emergency room visits by including support for medical, mental health, addition treatments, assistance with social needs
Cognitive computing dealing with rapidly changing data; can be used to predict, detect patterns in data (e.g. drugs effect on population), classify or combine data to create 360 view of a patient
Data stored in a cloud and accessed on an as-needed basis (system based on a blockchain) -> patients being able to access their medical records 24/7
Synthetic biology, ability to engineer DNA structure
3d printing and nanotechnology -> being able to print a tissue, innovators could develop a customised white blood cells to fight cancer cells
Biosensors and trackers -> enable earlier intervention
Social media as a rich source of data about population health trends
Telehealth -> patient’s care options not limited by geolocation; very useful in mental health
Internet therapies
Mobile devices equipped with tools to measure blood pressure, oxygen level, measure temperature; if entered regularly into mobile patient portals they can help prevent health risks
Patient empowerment; bigger access to specialists
Challenges
Shortage of human resources vs rising demand for services
Data management and security
High black-market value of medical data
Consumers demonstrate a lack of trust in traditional health system
Unpredictable results of some revolutionary operations, e.g. potential transfer of genes to wild organisms which reproduce
