Healthcare is evolving with digitization, where it tries to improve the quaility of care, reduce costs and financial burden, the volume of available structured and unstrcutured data has grown exponentially (1). Because of the sheer volume, variety and speed of data sharing, managers in the healthcare industry are facing two main problems: storage and data analysis (2).
To mitigate the aforementioned issues, cloud computing and cloud-based analytics could be of use. Pointing out four potential key benefits of cloud-based technology for healthcare: improving quality of patient care, patient engagement, clinical research and clinical operations (3).
The medication management model needs some adjustments and modifications. As we saw that the system is not perfect and research shows that unintended consequences occur in the system.
Transmission phase, is the second phase of the medication management process. The transmission phase could also include the dispensing phase.
Medication management process consists of five stages; prescribing, transmitting or transcribing, dispensing, administration and monitoring. I believe unintended consequences could occur anywhere in the process at any phase. However, after looking into the literature, I would agree that the most common phases where unintended consequences occur are prescribing, dispensing and administration.
Using Git in terminal (command line)
Imagine you want to have all your files stored in the cloud, not via Google, OneDrive, Dropbox, etc., but one that you control, such having a network attached storage (NAS).
Unintended Consequences in Medication Management Process
Canada Infoway is one of the big health informatics mover in Canada. They have a set of interoperability solutions for developers to enhance electronic health records (EHR) and user interfaces to improve sending and receiving standard-bases interoperability messages.(1) Very briefly, they are as follows:
You are presented with the following case:
60 year old male patient, overweight with BMI = 28. Recently diagnosed with type 2 diabetes mellitus. He is currently taking maximum doses of metformin and sitagliptin. Generally, his blood sugar levels are not controlled, for example, his last HbA1c reading was 7.5%. He has positive family history of cardiovascular disease, his father suffered from fatal MI and the age of 52.