In short, automation in the health sector has been influenced by technological advances such as Artificial Intelligence , Wearables and even Big Data, which although its massive implementation seems to be in the future, effective applications have already been found within the field of medicine.
kuwait telegram mobile phone number list
Several of these technologies have already been tested and even have a commercial version, but their full potential has not yet come to light, although it is certainly still in the process of spreading.
According to a recent study by Aruba called “ Building the Hospital of 2030” , the need for the healthcare sector to have smarter medical centers that incorporate not only Artificial Intelligence but also mobile technology and even the cloud is evident.
[Tweet “According to UN figures, the population over 60 years old will increase by 56% by 2030, which further increases the need for fast and efficient health care centers.”]
Therefore, it is expected that in 10 years, disease diagnoses will be made with the help of Big Data and Artificial Intelligence (AI) .
With intelligent collection of medical data that usually takes humans hours to analyze, it can be automated for more assertive and even faster decision-making.
Many people already tend to enter symptoms or pains they suffer into the Google search engine, so paying attention to the Inbound Marketing methodology in the health sector can be a very smart decision if you want to increase the online reputation of this medical sector.
In the following lines we will see how automation in the health sector can challenge the private health care model and what are the predictions in this regard to keep the content up to date.
Group-427320753
Automation in medicine
Medical institutions are in high demand for obvious reasons: every day, many patients are received in these places with very particular circumstances for each one.
This makes automation in the health sector essential in terms of time, quality and attention to medical services.
The automation process goes hand in hand with a fairly agile database scheme that allows each patient to be identified in terms of benefits such as insured, medical history, among other things. An intelligent workflow is what allows for the efficient management of this data.
On the other hand, automation also allows for better management of medical appointments in terms of coordination between the insured, the medical professionals and the institution. The schedule of a medical institution is quite tight and it must ensure that it serves the largest number of patients.
Automation can therefore be a great advantage for calendars, but also for appointment confirmations and cancellations, improving calendar compliance from 63% to 92% .
Furthermore, the benefits of this automation process are multiple. Once the patient has been seen, various factors must be taken into account in order to add up the bill, such as: type of insurance, laboratories, additional services, imaging results, etc. This could take hours of work from a human being.
This speed and efficiency offered by automation also benefits the sustainability of the health service, because audit times are reduced while collection and payment management times are minimized by 25%.
[Tweet “Medical automation allows for better management of medical appointments in terms of coordination between the insured, the medical professionals and the institution.”]
Data automation
When automating decision-making in the health sector, data analysis is necessary. This has led to the emergence of new devices such as wearables, which are used to monitor biological parameters, and can even be used as fashion, as they are smart watches or bracelets that record heart rate.
These devices have been a new source of data for the health sector, which, although it does not replace the existing ones, at least enriches them with much more information. In addition, this data collection does not involve any effort for either the medical institution or the user.
It is clear that the health sector requires constant transmission of data that is not only important but also confidential, through a network of departments and other partners.
