We are challenged to provide meaningful and useful health care information available online to every Canadian. Big data is about how much data we are getting from where, how quickly, and how to turn it into meaningful information.
This was an interesting exploration of one of the Game Changing technology disruptors, and how it can, should, and is being leveraged to improve health outcomes.
Health information is still in silos, and needs to be integrated or federated in meaningful ways to enable clinical decision support systems (CDSS). Carolina's Health Systems in North Carolina has been innovative in this area.
Structured and unstructured data continues to expand rapidly, and not all of it is electronic, and most of it continues to grow in the silos. Data-intensive mega trends such as population based patterns, personal signatures, genomics, home monitoring, mobility, & social media.
Home Depot in the US expects to have an aisle dedicated to home medical monitoring systems in two years.
IT consumerisation and mobility have provided us a platform for ubiquitous bidirectional access to health care resources. We are introduced to fitbit which provides 24x7 wearable health monitoring. This is worthy of further investigation. Health oriented apps are growing rapidly, allowing EMR access by patients. Telemedicine continues to evolve and reduce the demand for face-to-face health care provisioning. Gaming theory continues to improve the engagement of people in preventative healthcare and wellness. The immediate impact and benefit that might be missing in personal engagement of wellness is provided by gamification of peoples health monitoring. Influence networks leveraging social media provides a platform for quicker responsiveness to health care interactions.
The price for sequencing the human genome is below $1k, this is an example of how meaningful use of health care information is being made affordable, but the challenge is to use these innovations to improve specific patient outcomes through primary care and wellness. Again, we create mounds of data, but need to turn this into useful information accessible to patients and health care providers in a proactive manner.
Predictive analysis feeding into CDSS allows us to better understand risks in individual and population level health actions. We can identify potential patient cohorts who need intervention based on health habits and target them with the appropriate wellness services. At an individual level, we can better understand how our individual health situation may be impacted by various health care or wellness decisions. Treatment sequences by populations demographics can ensure better medical outcomes in clinical situations.
The problem is we are going to be over-whelmed by a tidal wave of data, the opportunity is that we will have the information we need to improve health outcomes.
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