Digital medicine is a broad field of telehealth, which uses technology for medical purposes. Products and methods of digital medicine can be used separately as well as in combination with pharmaceuticals, biomedical, or wearable devices to improve the quality of medical services. In this article, we will discuss using of the cybersecurity mesh and data science cloud computing in medicine.
The Cybersecurity Mesh
The cybersecurity mesh
Traditionally, for medical data security, paper contracts are concluded between medical organizations, while in the virtual space, a zero-trust network model is conducted. The Cybersecurity Mesh is one of the zero-trust network models, which allows independently securing each device with its privacy settings using a holistic approach.
The Cybersecurity Mesh offers the following solution for better medical data protection: ▪️ Multi-factor authentication to verify user identity ▪️ Disc and data encryption to secure all information within medical data stored in the company ▪️ Virtual private networks to safeguard communications ▪️ Limited remote access gateways that enforce least privilege user access ▪️ Modern monitoring and correlation tools for threat detection
Modern monitoring and correlation tools for threat detection Does a medical institution only need it?
Not really. Many Internet users do not notice that they store medical data about themselves on their phones. Fitness trackers store information about your activity or weight gain trend, and applications for tracking periods store information not only about days but also about the symptoms you enter into the app. If the application uses The Cybersecurity Mesh, you don't have to worry about leaking your medical data.
Do you remember our post about the use of blockchain in medical data exchange?
Data science in medicine
Compressing all the data generated by medical workers can be challenging. Nonetheless, rapid improvement in data science and predictive analysis has given doctors access to deeper insights like gathering information about ancestry and family history and detecting high-risk patients to diagnose problems effectively.
The profits of using data science instead of manually analyzing data are as follows: ▪️ Avoiding unnecessary emergencies due to the non-availability of doctors ▪️ Reducing the waiting time of patients ▪️ Structuring and sorting the data for use ▪️ Implementing algorithms on the data to extract insights ▪️ Building predictive models with the development team
Data science is used in more specific tasks
Additionally, Data science is used in more specific tasks. For example, Data Science helps recognize X-rays, sonography, MRI, and CT scan scanned images to figure out the defects in a human body to help doctors make an effective treatment strategy. Another example can be using Google AI to diagnose skin diseases through Deep Learning. Google AI uses 3 main algorithms: ▪️ An anomaly detection algorithm helps identify conditions such as bone fracture and displacements. ▪️ Image processing algorithm helps analyze images and enhance and denoise them. ▪️ A descriptive image recognition algorithm visualizes and extracts data from images, interprets it, and uses it to form a bigger picture.
Who are you: a traditionalist who stores all documents in paper form, or a modernist who has a cloud to store information?
Archives, endless paper documents, and the physical processing of information… The era of paper information is coming to an end. Instead, a new era of Cloud computing has arrived.
The cybersecurity mesh
Storing information in the cloud provides a flexible solution to store large volumes of information and makes analyzing data easier in a secure environment. To maintain the security and confidentiality of data, in the United States, Cloud computing in the healthcare system regulates via the Electronic Medical Record-Keeping mandate.
So, what kind of problems cloud computing can solve?
▪️ Cloud computing allows doctors from different clinics or even countries to collaborate and share a patient's medical records. ▪️ It reduces the cost of data storage. ▪️ Offers superior data security by preventing the risk of damaging or theft of data. Moreover, digital data storing prevents damage to medical records by natural disasters, floods, or fires. ▪️ Implementing algorithms on the data to extract insights ▪️ Creates the possibility of combining information storage with IoT technologies, enabling storing information from wearable devices.