Healthcare technology consulting saves money and takes advantage of opportunities that may only sometimes be apparent. The growth of competition and market expansion, the development of innovations and information technologies in medicine, on the one hand, and the evolution of patient requests, on the other, dictate their terms and increase a need for information technology consultants for healthcare.

The transition of the business online and the transfer of staff to remote work has further accelerated the digital transformation and the growth of the cloud computing market. To survive in a highly competitive environment, you must introduce advanced solutions into work processes. And this means that cloud technologies in 2022 will continue to develop. Investments in development and operation will grow, and demand for offers among consumers will increase. The focus will be on cloud computing security. So what are the cloud security risks this year?

Statistically, 84% of digital transformation initiatives fail. The study by the Everest Group found that 73% of businesses failed when extracting business value from their digital transformation initiatives. Companies investing billions of dollars in digital transformation can lead to substantial financial losses. Everybody wants to avoid such a situation. The best strategy is to have a clear vision of the goals and create a well-thought-out digital transformation strategy. It will only happen if you know which areas to focus on the most.

Telemedicine applications are becoming more and more popular and essential in healthcare. Knowing how to create a telemedicine app is beyond the scope of other app development efforts. To develop these solutions, you must pay attention to design, regulatory requirements, and more.

According to Forrester Research, 96% of organizations worldwide consider application performance to be business-critical. 72% of technology leaders cite productivity degradation as their number one problem. And the advantages of a high-performance system for a business customer are transparency in the formation of budgets for the maintenance and development of IT infrastructure, lower asset maintenance costs and reduced operating costs, and, of course, many happy users. For IT, this is the stability of the systems, reducing the expenses caused by failures, and meeting SLAs. Companies invite software development consulting to improve the software efficiency and business in general.

What is machine learning? According to Arthur Samuel, who popularized the term, ML-based software enables computers to learn from data improving themselves without being explicitly programmed. Machine learning (ML) is a category of algorithms that allows software applications to receive input data and statisticaly analyse it to update outputs each time new data becomes available. ML is a subfield of artificial intelligence (AI). Any technology user today has benefitted from machine learning.

The Point of Care (POC) software is a revolutionary tool that allows healthcare providers to instantly access and share patient information. It offers a variety of easy-to-use features that make it an essential instrument for healthcare providers. According to Business Wire, the POC data management software market is predicted to reach $11,772.2 million by 2025. This article will examine how Point of Care solutions transform the healthcare industry.

Big data is a variety of data that comes at an ever-increasing rate and volume. The three main properties of big data are diversity, high speed of arrival, and large volume. Big data is a larger and more complex dataset, especially from non-standard sources. These datasets are so large that traditional processing programs cannot handle them. But these huge amounts of data can be used to solve business problems that previously seemed too complex. Let’s see how big data implementation can help your business.

In today’s world, where digital technologies are developing rapidly, it would be surprising if these innovations did not touch the healthcare sector. Mobile healthcare is one of the main trends in this direction. With mobile apps, physicians and pharmacists can provide safer, more effective patient care while allowing patients to self-monitor their treatment and improve adherence to therapy. We propose to find out at what stage this innovation’s development is, its advantages, and what risks accompany the choice of such an approach to healthcare application development.

With the ever-increasing volume, variety, and speed of data available, the scientific disciplines have provided us with advanced mathematical tools, processes, and algorithms to use this data in meaningful ways. Data science (DS), machine learning (ML), and artificial intelligence (AI) are three such disciplines. The question often arises: what is the difference here: data science vs machine learning vs AI? Can they be compared at all? Let’s figure it out.