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The future of healthcare. - Future healthcare

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Health care is of course a topic of great interest and concern globally, as the confluence of macro factors have converged to make it one of the most significant issues facing leaders and citizens in all nations. As we are all aware, advances in diagnosis and treatment are coming almost daily, as new approaches and technologies are developed. But many carry with them high costs, and health care is consuming an ever greater portion of national GDP around the world. This is on top of the fact that access to health care is very uneven within and among countries, highlighting profound inequities.To ensure that people stay healthy, it is essential to address these wider social and economic conditions affecting health in addition to providing adequate quality, people-centred health services.


How Healthcare Can Embrace the Digital Transformation - Coruzant Technologies

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For years, healthcare's digital experience has lagged behind other industries, especially in the health insurance space. Then a global health crisis hit. The COVID-19 pandemic forever changed how consumers interact with technology, propelling many health insurance organizations to speed up their digital agendas. Pre-pandemic, consumers had mixed expectations of digital interactions with their healthcare. Now, consumers expect those operating in the healthcare space, including healthcare providers and health insurance carriers, to deliver digital innovation that makes care decisions straightforward and personalized.


5 Ways In Which Artificial Intelligence Will Revolutionise Healthcare

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Artificial Intelligence is impacting healthcare in the same way that OBD impacted automobiles a few decades ago. With the combination of data and machine learning, AI is moving healthcare to a much more automated, efficient, interactive, and intelligent state. But how will AI impact the future of Healthcare? The most significant way Artificial Intelligence has transformed healthcare is through data analysis and management. AI can store, connect, and skim through patient data to identify medical problems and diagnose them through highly accurate clinical decisions.


Sector insights for 2018: Healthcare

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The fast-changing healthcare sector is set to see further evolution and upheaval in 2018, so staff will need to be prepared for action to ensure care quality standards are consistently upheld. Most healthcare professionals would agree that the sector has been experiencing challenging circumstances in the last few years, with the inherent pressure that comes with this line of work exacerbated by broader political and economic factors beyond their control. Evolving government policy, funding constraints and emerging public health issues have all led to significant upheaval within the medical field, and the opening months of 2018 have offered plenty of evidence to suggest that this rapid pace of change is likely to continue throughout this year and beyond. As such, it's never been more important for healthcare workers and managers to stay abreast of the latest trends and developments within their industry, and to make sure they are doing everything they can to acquire the skills they need to adapt. Even against a backdrop of ongoing change, the need to ensure that care quality remains paramount is still constant, and that will be as true in 2018 as it has ever been.


To deploy AI tech, healthcare needs to first be data literate

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Artificial intelligence (AI) has disrupted numerous industries in recent years, but for the technology to work effectively, the technology needs to be used right. For the healthcare sector, one of the end goals is to provide better patient outcomes, minimise human errors and alleviate some of the physical and mental burnout felt by healthcare practitioners as a result of the volume of admin work required. A study in the US found that for every hour that physicians spend providing direct clinical facetime to patients, almost two additional hours are spent on desk work. By utilising AI and analytics, this can be reduced, and by extension, so too will the rates of mental illness. For this to happen, however, the industry must first get ready for the AI era by building up skills in reading, working with, analysing and arguing with data – also known as data literacy.