When it comes to digitalisation, no industry is safe. And the healthcare space is no exception. As customer experience becomes more and more important, healthcare companies are realising that digital solutions and technologies can help them improve the level of service they offer patients.
But as any business that has embarked on a digitalisation journey will know, it takes so much more than new gadgets to guarantee that your efforts bear fruit. According to McKinsey, more and more healthcare businesses across the globe are realising that digital technologies must be perceived as strategic assets, not utilities.
But they’re doing so more slowly than other industries. “Most pharmaceutical and medical-technology companies are digital laggards compared with companies in travel, retail, telecommunications, and other sectors.” McKinsey writes.
So, what does the digital healthcare future look like? You simply need to head over to Life Healthcare’s new facility in Auckland Park, which they tout as the “the future of primary healthcare”. you walk in to this high-tech GP’s office without an appointment, get diagnosed by a team of nurses equipped with the latest medical technology and be on your way again in less than half an hour. Pretty cool, right?
Here are a few other examples of how digital technologies are transforming healthcare.
Data-driven insights: Hospitals collect a wealth of data. When analysed effectively, this information makes it possible to streamline processes, improve customer service and boost profits. One way healthcare providers are using this information to improve their interactions with their patients and partners is by embracing the shift towards evidence-based medicine and exploring ways to use big data to build more personalised experiences and care programmes.
Simplified claims: Managing your patients’ medical claims can be time consuming and costly. For example, if a person is scheduled to have a procedure in hospital and there is any information missing from the quote or claim, medical insurers won’t pay out. Digital systems speed up the processing of claims little to no waiting time for a claim to be approved or denied.
Artificial Intelligence (AI) in action: Some of the most remarkable substantial real-world applications of AI applications will be used to process images via early stage machine learning. This will be especially valuable for the fields of dermatology and radiology. These innovations could alert people when they may need to see a doctor, it can be used to create learning resources for medical students and give physicians greater confidence when making a differential diagnosis.
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