In this article, we will explore how digital transformation is shaping the future of medicine. We will also look at the benefits of digital transformation in healthcare.  

From telemedicine to AI-powered diagnostics, we will examine the latest trends and innovations transforming healthcare. We will explore their impact on patients, providers, and the industry as a whole. So, buckle up and get ready to discover the exciting ways digital health technologies and digital health startups are revolutionizing healthcare. 

How Digital Transformation is Enabling Better Healthcare?

Digital transformation in healthcare is bringing about significant changes transforming how patients receive care. One of the most significant benefits of digital transformation in healthcare is the increased accessibility of care. Thanks to telehealth and virtual care, patients can now receive medical attention from the comfort of their homes. This has become particularly important during the COVID-19 pandemic, as social distancing measures have made it difficult for patients to visit healthcare facilities physically.

Digital transformation is also improving efficiency and reducing costs in the healthcare industry. For example, automation in administrative tasks such as scheduling appointments and billing has reduced the workload for medical professionals, allowing them to focus more on patient care.

Here are some of the digital transformation trends in the healthcare sector:

Telehealth and Virtual Care

Telehealth and virtual care have become increasingly popular in recent years and for good reasons. Telehealth uses technology to facilitate remote consultations between patients and healthcare providers, making it easier for patients to receive medical attention without visiting a healthcare facility physically. Virtual care, on the other hand, involves using technology to provide healthcare services such as monitoring, consultation, and diagnosis remotely.

The COVID-19 pandemic has accelerated the adoption of telehealth and virtual care, as healthcare facilities have had to limit physical visits to curb the spread of the virus. The use of telehealth and virtual care has also been shown to improve patient outcomes, particularly for patients with chronic conditions who require regular monitoring.

Wearable Technology in Healthcare

Wearable technology has become increasingly popular in recent years, with devices such as fitness trackers, smartwatches, and health monitors becoming more common. These wearable devices are not just for tracking fitness goals; they can also be used to track vital signs, for instance, blood pressure, heart rate, blood glucose levels, and more.

Wearable technology in healthcare has several benefits in implementing digital health solutions. For one, it allows patients to monitor their health without visiting a healthcare facility physically. It also provides medical professionals with real-time data that can be used to provide more accurate diagnoses and better treatment plans. Wearable technology can also provide personalized care, particularly for patients with chronic conditions requiring regular monitoring.

Electronic Health Records (EHRs)

Electronic health records (EHRs) have been around for some time, but their adoption has accelerated in recent years. All thanks to digitalization in healthcare for achieving this. HRs allow medical professionals to access patient data more easily, which can be used to provide more accurate diagnoses and better treatment plans. They also make it easier for medical professionals to collaborate and share patient data.

EHRs also offer several benefits to patients. For one, patients can access their medical records easily, which can be useful when switching healthcare providers or seeking a second opinion. EHRs also allow patients to play a more active role in their healthcare, as they can view their medical records and communicate with their healthcare providers more easily.

Artificial Intelligence and Machine Learning in Healthcare

Artificial intelligence (AI) and machine learning (ML) are useful healthcare software development technologies. AI/ML algorithms can be used to analyze vast amounts of patient data, which can be used to provide more accurate diagnoses and better treatment plans. They can also be used to develop predictive models to identify patients at risk of developing certain conditions.

AI and ML can also improve the efficiency of digital transformation in the healthcare industry by automating administrative tasks such as scheduling appointments, billing, and more. They can also be used to improve drug discovery and development by analyzing vast amounts of data and identifying potential new treatments.

Cybersecurity in Healthcare

As healthcare becomes more digitized, cybersecurity has become an increasingly important issue. Healthcare providers need to ensure that patient data is protected from cyber threats such as hacking and data breaches. Cybersecurity threats in healthcare can have severe consequences, including identity theft, financial loss, and compromised patient care.

An enterprise software development company can help healthcare organizations implement robust cybersecurity measures to protect patient data. These measures can include encryption, secure networks, and regular security audits. Healthcare providers also need to ensure that their employees are trained in cybersecurity best practices to prevent human error.

Conclusion

Digital transformation is revolutionizing healthcare, bringing about significant changes transforming how patients receive care. From telehealth and virtual care to wearable technology and AI-powered diagnostics, digital innovation is improving patient outcomes, streamlining operations, and driving innovation in the healthcare industry. Digital transformation truly helps eliminate multiple challenges of healthcare systems.

A trusted software development company is crucial to maximizing the promise of digital transformation as it continues to alter the future of healthcare. 
Contact BoTree Technologies to enable digital transformation in your healthcare organization.

The post How is Digital Transformation Driving Innovation in the Healthcare Industry? appeared first on Tech Web Space.

Many developers or communities suggesting RoR is dead are just fake rumours. The RoR- developed applications are widely used and very much alive. Popular platforms like Netflix, GitHub, Airbnb, etc., uses this framework.

However, a few scalability issues can still creep into any technology stack. Let’s discuss Ruby on Rails Scalability and the broader issues. 

What is Ruby on Rails Scalability?

Scaling Ruby on Rails applications means the web application can cater to more user requests per minute in the future. However, the main scalability issue lies in the Ruby on Rails server architecture, not the framework alone. What usually goes into the RoR scalability is the server architecture alongside the framework too. What usually goes into the description of the scalability of the framework is:

• The single server
• Rack application server
• A single instance of Ruby on Rails Web Application
• Use of single or relational database

You can measure the scalability of the Ruby on Rails application development through the customer requests it will handle. Let’s say your company was getting 1000 requests on the server daily. As your Ruby on Rails framework and development gets popular, these requests increase to 10x more. It can put more pressure on the single server architecture. It can crack under pressure if the requests increase more. It will make the application unresponsive to the users. 

Hence, Ruby on Rails scalability issues appear. It can hamper Ruby on Rails projects too. However, read further to know what scalability issues appear in RoR and how to scale RoR.

What are the Scalability Issues with Ruby on Rails?

Guess what? Ruby on Rails and other programming languages, such as Java, PHP, Node.JS, .NET, etc., do not scale either. You must blame the framework partially for your terrible software-building techniques. Most Ruby on Rails developers will tell you high-quality, maintainable code is not created to support the framework. 

A few scalability issues that Ruby on Rails app development usually faces are:

• Developers still need to build the server architecture of the RoR with a growth mindset. You might need help implementing the parallel processes or face problems handling the requests. 
• If you have built the server to handle only 500 requests, it cannot handle the upsurge in requests. It will crash the whole framework system.
• Other problems that may hamper the scalability of the RoR applications are:

1. Inadequate database engines
2. Caching
3. Poor memory management
4. Poor indexing feature
5. Server constraints dealing with an application
6. Code splitting

• The use of complex databases is another issue with Ruby on Rails. This unbalanced database setup can lead to a lack of caching, slow queries, and a tangled database. 
• The Ruby on Rails development services provider uses this framework because it supports multi-threading. This feature can hamper the RoR app’s performance in the long run because it does several tasks parallely. You may have to pay a little extra cash for the context switch from RoR. 

The good news is you can scale the RoR applications using the right strategies and techniques. Read further to get more details.

How to Scale Ruby on Rails Applications?

1. Vertical Scaling
2. Horizontal Scaling

These are the two best methods used by Ruby on Rails development company. The top Ruby on Rails developers use these methods to scale the overall progress of the RoR applications. 

Let us walk you through both of them.

Vertical Scaling

Most enterprise software product engineering services providers use vertical scaling for RoR as the ‘patch’ solution. It will boost user requests per minute, and server access will also increase. Developers can keep adding the processor, RAM, and other components until it is financially and technically possible.

The handling of predictable and linear growth will be possible with vertical scaling. You can put slow databases on the best and most workable hardware to speed up the process. It is a better way to handle the increased traffic. However, this scaling may only work when you add more computational resources and the hardware gets updated. You will also need to hire Ruby on Rails developers who are experienced enough to get the vertical scaling work for your company’s projects.

Horizontal Scaling

Well, the top-notch Ruby on Rails enterprise application development providers use horizontal scaling to distribute computational operations widely. The operations will be distributed over different servers, which will also help increase the app’s performance. It is a more future-proof scaling feature that divides the workload of the RoR framework.

The load is equally distributed among the server, load balancer, database instance, and app instance. It will help achieve optimal performance even when the developers use Ruby on Rails gems for the custom methods. The horizontal scaling will divide the single application server architecture into three-tier architecture. Small loads on a machine will make the apps work fast and provide a better user experience.

Hire the Best Ruby on Rails Consulting Company!

The Ruby on Rails applications are complex, but companies use them for their multithreading approach. However, you can improve the complexities and scalability of RoR apps with the help of scalability solutions. 

Hire a software development company, BoTree Technologies, to scale your RoR apps using worthy solutions. We ensure our clients can use Ruby on Rails to its full potential. You can take our technical expertise to give your Ruby on Rails project a better kickstart.

The post Scale Your Old Ruby on Rails Applications with Authentic Strategies appeared first on Tech Web Space.

What is Python Programming?

Python programming language is an object-oriented, interpreted, and high-level programming language. It was released in 1991 and created by Guido van Rossum. You can use it for software development, web development, system scripting, and mathematics. The built-in data structures and dynamic semantics help it to become functional and scalable.

Let us now check out the important reasons to learn a Python programming language and implement it in your next web development and other projects.

Why Learn Python Programming?

1. Fastest Growing Language

Python programmers are in high demand since many major brands like Netflix, Facebook, and DropBox use them. Moreover, Google has a Python style guide too. A significant growth trajectory was witnessed when it was used with many other applications like ML, AI, Data Science, etc. An estimate shows that an average Python developer earns around $116,028 yearly. The use of Python development services by organizations through the outsourcing providers like BoTree Technologies has also driven its growth in the IT sector.

2. Easy to Learn and Use

Python was developed a decade back to erase the complexities and keep only necessary elements completely. After HTML, Python clinched the 2nd rank because of its readability and simple-to-learn syntax. You can find Python programming tutorials online that will help new coders. For example, the coders do not require 4-5 lines for coding the simple “Hello World” application, as it is only a line away. Instant feedback is the benefit of learning Python.

3. Used in Scripting and Automation

Other coding languages set aside Python in the market because it can do scripting and automation. After receiving popular Python programming certifications, developers can directly write the code in the script. You can execute and compile the script in real time. You can check the errors runtime. 

A dedicated Python developer can use automation-related capabilities for the devices and applications. There are codes and library frameworks available in abundance. Automation will help check the codes in real time without repetitive tasks.

4. Built-In Testing Frameworks

Python has built-in libraries, packages, modules, frameworks, etc., for data manipulation, web development, and data science projects. It also has several built-in testing frameworks to help to debug the code and speed up the Python project development processes. Pytest and Splinter are two powerful frameworks that support the testing process. Other robust frameworks used to test the accuracy of applications and frameworks are Zen of Python, Typing Your Way, Multi-Paradigm, etc.

5. Compatible with Most Non-native Platforms

Using human-like syntax helps Python support many non-native platforms and app development processes. It is a preferred language because newbies can also try this language. Python’s easy syntax helps it build a complete system with non-native apps and platforms without any complexities. However, you require essential Python skills to recognize the relationship between varied elements and structures.

6. Wide Range of Libraries and Packages

Python supports various libraries and packages that prompt developers to use this programming language. You can add different libraries and packages with the help of the growing Python community. Other languages still need Python regarding the availability of various libraries and frameworks. You can use libraries like PyTorch, NumPy, Matplotlib, Pandas, and SciPy to make the development process easier and more efficient. You can focus more on the development process rather than any low-level issues.

7. Python Developers are in High Demand

There were 8.2 million Python developers in 2020 against 7.6 million Java developers. No other language can provide more concise coding and faster readability. They are highest paid developers, mainly when using the programming language with ML, AI, and data science. The above data and statistics show increased demand for this language. You can hire Python developers from reputed companies to accomplish your tasks.

8. Great Community Support

You can learn Python programming online through the community support program, where you can find enough material to code or debug the app development process. The community actively supports fellow developers when learning this new programming language. When you have completed your degree or the course boot camp, you can always turn to the experts in the community to get answers to your questions. 

Python has 1.5 million GitHub repositories where you can turn to sort your queries. The support group of this language is the second highest. In these community forums, you can discuss everything from workflow to software development. In addition, most Python developers organize meet-ups globally through these community support groups.

9. Used in Trending Tech Domains

Companies that use Python can work in versatile tech domains like AI, data science, ML, and other emerging technologies. If you are looking forward to making a career in any of these domains, then learning Python will prove a silver lining. You can achieve specific project goals without worrying about low-level development issues. There are a lot of job options if you learn Python. You can work in various tech domains like web application, web testing, cybersecurity, internet development, quick system integration, etc.

Hire the Top-notch Python Development Company!

Learning the Python programming language will open new avenues for developers. You can learn it simply through the courses and tutorials in community support groups.

The post Why is the Python Programming Language Popular and Growing? appeared first on Tech Web Space.