Improving the Primary Care Consultation for Diabetes and Depression Through Digital Medical Interview Assistant Systems: Narrative Review.
Gerónimo JiménezShilpa TyagiTarig OsmanPier SpinazzeRianne M J J Van Der KleijNiels Henrik ChavannesJosip CarPublished in: Journal of medical Internet research (2020)
Given the benefits explored here, we foresee that DMIA systems could have an important impact in the primary care consultation for diabetes and depression and, potentially, for other chronic conditions. Earlier case finding and a more accurate diagnosis, due to more and better-quality data, paired with improved monitoring of disease progress should improve the quality of care and keep the management of chronic conditions at the primary care level. A somewhat simple, easily scalable technology could go a long way to improve the health of the millions of people affected with chronic conditions, especially if working in conjunction with already-established health technologies such as electronic medical records and clinical decision support systems.
Keyphrases
- primary care
- healthcare
- palliative care
- clinical decision support
- type diabetes
- public health
- cardiovascular disease
- electronic health record
- depressive symptoms
- quality improvement
- general practice
- health information
- high resolution
- big data
- metabolic syndrome
- pain management
- drug induced
- mass spectrometry
- deep learning
- data analysis