In this article, we take a look into the top healthcare predictions for 2022 by Sachin Jain, Adjunct Professor of Medicine at Stanford University School of Medicine, published on Forbes. I have evaluated these predictions and ranked them.

An update to digital storage is cloud storage, which increases interoperability and offers more freedom. In this article, we will explore the evolution of cloud-based data storage in the healthcare industry.

Studies conducted by the University of Michigan now have led to researchers developing PRIORI, an Android smartphone app that can detect if someone is suffering a bipolar attack.

Mastering the element of predictive care will be a vital component in improving the quality of care for patients as artificial intelligence (AI) technology becomes more ubiquitous in the medical field.

Since Wilhelm Konrad Rontgen discovered the x-ray, many technological developments have occurred. Here are some of the studies done in enhancing x-ray imaging techniques.

The World Economic Forum predicts the value of digital transformation is expected to be more than $100 trillion by 2025 for industry and society. But why are companies so eager to achieve digital transformation, and how can IoT be instrumental in realizing this? Read on to learn the answers.

The Internet of Medical Things (IoMT) is an integrated infrastructure of the healthcare systems and services to medical devices and software applications that transmit real-time data through a network of technologies. The IoMT is a subcategory of the Internet of Things (IoT).

Confidential computing is centred on protecting data while it is being utilized, which is impossible with any other technology.

The most common tools of a multi-layered security system, in order of contact with threats, are- firewall, patch management, multi-factor authentication, and end-point protection.

In recent research, scientists have been able to understand drugs and their after-effects more deeply by implying the science of Natural Language Processing (NLP) and Machine Learning (ML).

Adopting technology is often scary for healthcare organizations due to a lack of awareness and funding constraints. It is crucial to overcome these apprehensions and join the tech bandwagon to stay competitive and relevant.

Big data is a broad term that refers to an extensive collection of complicated data, whether unstructured or organized. The collected data could be efficiently utilized to reveal additional insight and to address business issues that were previously unsolvable using traditional analytics or software. Typically, data scientists use artificial intelligence-powered analytics to examine these massive databases constructively to find relationships and correlations that might give valuable business insights.

The healthcare industry works under immense pressure to operate in real-time and provide healthcare professionals and patients with access to data across various locations. Cloud technology allows easy access and exchange of data between various departments as they are stored on a cloud platform and not on physical hardware.

The Health Insurance Portability and Accountability Act (HIPPA), signed into law by President Bill Clinton on August 21, 1996, has been routinely considered a model piece of privacy legislation. Prior to its creation, a patchwork of both state and federal laws governed the communication, distribution, and use of medical data for patient care and finances. Inconsistencies in these laws allowed the access of these data without any authorization, including personal sanctioning of sharing, from the individual whose data was to be used for the purposes of assessing anyone's potential for production and maintenance.

The digital counterpart of the patient's paper chart is commonly known as "Electronic Health Record" -EHR. EHRs are patient-centered records in real-time that provide information for authorized users immediately and securely. EHR systems are constructed to go beyond conventional clinical data gathering and provide a wider perspective for patient care. EHRs are a crucial component of IT health.

Blockchain technology could be used in storing electronic medical records enabling coordinated care for patients within the network. The shared data of blockchain allows the capture of comprehensive data sets from various countries; including various ethnic groups, geographic areas, environments, and socio-economic backgrounds. This provides health researchers access to vast data samples to study diseases, facilitate new medical discoveries, design patient-specific treatment, and track and develop drugs quickly.

With a rising emphasis on patient experience and involvement in healthcare, it is only natural that AI has been adapted to assist both patients and providers.

Driven by the pandemic, the momentum of next-gen technologies is bound to increase at an accelerated pace.

Healthcare facilities along with their business affiliates should equalize conserving patient secrecy while providing excellent patient care, also fulfilling the rigorous regulatory laws put forward by HIPAA and several different legislation, like the EU?s General Data Protection Regulation.

As we move toward the open enrollment period of 2022, states will move forward with innovation to reduce operating costs, increase policy flexibility and autonomy, and drive health insurance enrollment, leading to a SaaS-based state.