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When implemented systematically and at a large scale, basic technological solutions can lower the cost of improving health outcomes.
Fremont, CA: The COVID-19 outbreak ushered in a digital era in which practically every aspect of our life was transformed. While many people want the healthcare industry to return to pre-pandemic days, the "new normal" is here to stay, with even more development from digital health to data-driven healthcare. When this occurs, businesses will have to show how this will improve healthcare services' quality, accessibility, and efficiency.
Here are four ways to move from digital healthcare to data-driven healthcare:
Identify and invest
Healthcare businesses must increase their investments in AI and other modern technology. AI and advanced analytics, which automate decision-making processes, will make clinical operations more agile. Given the central importance of data in automated decision-making, the rise of these technologies necessitates a shift from digital health to data-driven healthcare.
Improve big data analysis, data quality, and availability
Vast volumes of data are generated by technological gadgets, which can be evaluated to give real-time clinical or medical care. To extract significant value from data, it must meet four criteria (relevance, actionability, availability, and interoperability).
This will result in important benefits such as more accurate staffing, easier chronic care, and fewer prescription errors
Embrace technology trends
When implemented systematically and at a large scale, basic technological solutions can lower the cost of improving health outcomes. The next wave of advancements, such as the usage of AI and precision medicine, will enable us to better exploit this data by merging big data analytics with machine learning (ML) algorithms, resulting in new use cases and methods of working.
Organizations must follow a blueprint that includes establishing a dedicated corporate figure/committee to monitor and assess regulatory compliance for data processing, define and update data management policies, provide training for those handling health data, and implement "secure by design" information systems.
The healthcare business has long struggled with a shortage of data analytics talent. To manage the gathering and processing of data, significant investment in trained teams of data analysts, data managers, and data stewards will be required, while software engineers will be required.