Digital Medicine High Tech Health Care Method
Digital Medicine High Tech Health Care Method
Digital Medicine High Tech Health Care Method – The technology and products undergo rigorous clinical processing that ultimately helpful in a direct impact on diagnosing, preventing, treating a diseases, conditions, monitoring or syndrome. Some of the technology which are used in digital medicine are – Sensor Technology, Wireless Monitoring system, Genetic & Digital diagnosis, Accelerometer, Genomic Risk Markers, Multi Sense Patch, Lumify Smart Device etc.
What are the basis on developing digital medicines?
- Remote disease management – It will allow a way by which a non curable disease can be cured. Like Chronic disease management will be nearly effortless and it will remove the data gap that allow doctors to improve their medical follow-up of patients.
- Interpreting the data – The challenge of integrating large and heterogonous data bunches can be solved using powerful algorithms and machine Learning.
- Security and privacy – The Privacy and security are the key factor which must be conserved for patients to cure it within less time frame.
- Opportunities and challenges – It will simplify various issued like Increased scientific evidence but reimbursement issues, new field of research based on wearables, changes to patient-doctor interactions, integration of patient-specific data by the Specialist doctors.
- Digital phenotype models – An additional layer of information enabling the construction of more accurate disease models in order to better understandable by Doctors.
- Continuous and remote monitoring. This will help out to see or monitor unseen or remote symptoms of diseases accurately. A tool should be there to detect disease earlier so that to reduce the cost of health care facilities and medicine.
Digital Medicine Application Areas and Advantages: –
- Reduction of Cost by Immediate Access of High Quality Lumify Smart Device Ultrasound.
- Pilot Study of the Multi Sense Patches to Record Cardiopulmonary data during Sleep and Wake time frame.
- Genomic Risk Markers for Atrial Fibrillation Followed by Cardiac Rhythm Monitoring.
- Sensor Technology & Analytics to Monitor, Predict, and Protect Ebola attacked Patients.