We’ve seen a greater emphasis placed on technological advances that can boost efficiency, accessibility, and streamline healthcare operations as businesses and economies recover from the pandemic. Digital transformation is rapidly redefining the sector by delivering relevant insights in real-time and transforming the healthcare industry’s system to operate at a macro level.
We now see digital transformation in healthcare as a combination of the most recent trends and advances in digital technology that improve healthcare operations dramatically. The backbone of this transition is the use of innovative technologies such as AI, ML, IoT, Image and video analytics and other cloud technologies. As healthcare businesses face greater data privacy requirements and legal limits, this adoption of new technologies can help them perform.
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People couldn’t see doctors because of the pandemic, therefore numerous doctors and patients preferred remote appointments over in-person care, using tools like Zoom or Skype or even the phone. Many doctors and health systems have quickly embraced telehealth and virtual care models, recognizing the benefits they may provide to patient care. As a result, telemedicine is here to stay, establishing itself as an important and permanent part of the healthcare landscape.
Insurance companies are beginning to subsidise virtualized treatment, which will increase acceptance. Advances in technology infrastructure, such as widespread use of 5G connectivity, are projected to aid and expand the trend. Having access to advanced image and video analytics technologies enable clinicians to discover anomalies in advance, assisting in the prediction and mitigation of risks and impacts.
Digital health that is effective and engaging requires more than just the proper technology; it also demands a full-fledged experience that informs and empowers clinicians to take evidence-based action. Advanced AI and machine learning algorithms have the potential to forecast patient treatment and care plans, and they hold the promise of advanced preventative medicine.
AI and machine learning have enormous potential for improving healthcare. Artificial Intelligence (AI) uses complex algorithms to mimic human decision-making. Machine Learning (ML), on the other hand, makes use of previous data to provide correct results. They work together to construct networks of self-contained, connected elements that use big data to improve operations and drive intelligent actions into the physical environment to increase revenue.
The modern connected devices help people acquire insights and track their health more easily thanks to the IOT and wearable technologies. It is much easier for clinicians to provide a customized approach to their patients and track their health. In essence, the Internet of Things (IoT) is a key component in the advancement of healthcare and enables seamless data collection in real-time.
We see devices such as medical monitoring devices such as blood oxygen meters, heart rate indicators, blood pressure monitors, and IV drop meters, for example, affixed to a patient’s bed and remotely monitored by nurses. The gadgets can also be designed to notify nurses when a patient’s predetermined condition changes. Healthcare has become more customized and timelier because of the evolution of smart devices such as smart fitness bands and smartwatches.
Data Analytics is critical since it streamlines data and assists healthcare professionals in analyzing it to reach relevant conclusions. The large amounts of data generated by all of the interconnected IoT devices are referred to as big data. The efficient operation of smart wearable devices depends on the processing of this data. In addition, image and video analytics have important impact since they allow the collection of data for aided diagnostics.
Advanced data analytics integration simplifies data analysis and extracts usable information from it to improve patient monitoring and system feedback. The use of big data makes it easier to make data-driven decisions based on real-time data. Anomalies, trends, and patterns may be detected more quickly because of this.
Blockchain is a decentralized peer-to-peer network that enables shared digital ledgers to improve the security of digital transactions and data sharing. In a nutshell, it allows us to safely communicate all our medical information with the doctors we choose. The use of blockchain enables secure information transfer without the need for a third party, and its public-private key scheme provides high transparency.
The secure and trackable record management capabilities of blockchain have the potential to be a gamechanger in the field of medical record administration. Because of its distributed ledger, any contradicting information will be reported right away, reducing mistakes and human error. Furthermore, blockchains are more difficult to hack while allowing for secure file sharing across providers (e.g., a general practitioner and a specialist).
All of the trends are enabled by Cloud technologies, and when combined with best cybersecurity practices, they have the potential to alter the healthcare landscape in 2022, improving disease treatment, prevention, and management while saving countless lives.
ApexonHealth offers digital solutions that are designed to keep up with the changing healthcare market. ApexonHealth’s strategy, which blends machine learning, workflow automation, and business process automation in our unique Newton AI platform, provides the finest of healthcare-focused IT solutions. We enable companies with our analytics services such as image and video analytics, visualization, and data science to enable advanced healthcare capabilities. We are trusted members of several healthcare groups such as the American Health Information Management Association (AHIMA), American Academy of Professional Coders (AAPC), and others, which have helped 80+ healthcare organizations modernize their RCM systems over the past 14 years. Visit Apexon.com for additional information.