It’s incredible to consider that the amount of data collected in the previous few years has surpassed the total amount of data generated throughout human history. This vast amount of data must be processed, stored, and evaluated in order for it to be useful. Modern technology, on the other hand, has so far failed to deal with massive amounts of valuable data, resulting in poor performance, lost income, and wasted time. According to Forbes, 95% of organizations struggle with data management and are looking for a solution.
Healthcare is a fast-paced industry that uses cutting-edge technology but there is still room for improving patient data accuracy and completeness. Patient data may now be accessed instantly across the whole medical system meaning that joint work within any medical system can increase the accuracy of medical data collecting.
Tech is Improving Health
The idea of improving general health and wellbeing through data collection and analysis is more popular than ever, thanks to the spread of health tracking gadgets. A growing range of services is being offered on a large scale, including routine blood tests, fitness level testing, and even DNA sequencing. Healthcare data is being collected in the hopes of early detection of health disorders using modern technology such as AI and predictive algorithms. Early detection of sickness will improve human life quality and aid to cut healthcare expenses.
EHR and AI in Health
Data science and healthcare were created for one another. Patient data that is both accessible and informative is crucial to providing quality care. Electronic health records (EHR) are the product of combining healthcare and data science and they are being used in EHR to improve medical treatments and procedures.
Artificial intelligence (AI) and machine learning (ML) algorithms also benefit from healthcare data with its ability to streamline workflows and enable database maintenance and more accurate result reporting, all possible when AI/ML and EHR work together to produce a technical powerhouse.
AI has the potential to help healthcare practitioners in a variety of ways, including patient care and administrative tasks. Data gathering is critical in healthcare because it saves lives and improves the quality of life, so businesses and governments are working hard to develop innovative solutions. Artificial intelligence is capable of storing, processing, and analyzing large amounts of patient data. AI in healthcare has the ability to self-educate. The more data there is to learn from and evaluate, the more quickly and precisely AI programs can generate recommendations. Even providing data-based proof to support a particular conclusion or opinion.
Immunify is Changing Healthcare
Immunify is the blockchain project at the forefront of spreading wellness through well-collected data and the provision of accessible healthcare services. It’s an AI-assisted and incentivized health registry blockchain that ensures patient data protection and openness. It’s also compatible with existing patient medical data systems. The goal of this initiative is to transform the healthcare system in low-income countries by combining technology and community collaboration.
Immunify works with people from all walks of life to bring their vision of a healthy society based on blockchain technology to fruition. Its clients include global health companies, rural clinics, individuals, governments, and health investors. Health institutions can use the data to empower local health groups and develop a comprehensive and self-sustaining system for saving and protecting lives.
