Artificial intelligence (AI) does more than execute code; it uses a range of strategies to recognize objects and behaviors, it understands speech and learns in response to changes in the data.
Although AI is not intelligent in a conscious way, not yet at least, these abilities put AI-based applications in a position to make dramatic changes in many industries. Medicine and the healthcare professions are no exceptions.
Data Driven Medicine Goes To Work
AI has graduated from the university laboratory and gone to work in the world of industry and business. Current software applications can use advanced machine learning algorithms and artificial neural networks to crack complex problems that have evaded machines until now. This utility is helping the medical profession as much as any other.
There are many exciting uses for AI in healthcare software, which are just now revealing themselves. The healthcare business will change in response to the newest technologies as AI provides new insights and clarity in diagnosis, care, and administration.
The medical profession is undergoing a sea change in which practitioners seek to base decisions on data more than opinion and the eminence of authorities. This evidence-based medicine (EBM) is one of the factors in the changing architecture of the healthcare industry. The emergence of algorithms that deliver on the promise of AI is another paradigm-shifting factor.
Watson The Oncologist And Other Amazing Machines
Smart sensors connect Big Data to AI to give advanced warning of crisis events such as strokes and myocardial infarction. Systems such as Watson from IBM can find patterns within Big Data and recognize subtle physiological changes earlier than clinicians.
AI systems deliver test results more quickly and prevent medication errors. By sifting through giant piles of data, AIs can test DNA and mine electronic health records (EHR). Automated telemedicine based on AI brings diagnosis to your home and deliver better care for chronic conditions.
Consumer Services And The Changing Structure
Hospitals will consolidate – These changes will cause Medical organizations to consolidate into larger more centralized facilities, and smaller hospitals will close down. More conditions will be treated as outpatient or by telemedicine; you’ll need to be sicker to get admitted to hospital.
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Hospitals will be like ICUs – Hospital wards will be more like critical care units, where smart sensors and AI will predict crises before they become critical and alert staff to intervene.
Storefront medicine – While clinics may concentrate resources, consumers will most likely meet clinicians at shopping center storefront medical outlets. These will probably be nurse practitioners, or patients will connect to doctors via telemedicine channels from home or mobile devices.
Patients will control their EHR records – These electronic data compilations will be open to Big Data analytics. AI systems that mine EHRs will find information relating to individual patients and populations providing diagnoses and issues that require policy updates.
A new healthcare professional will emerge – The new capabilities will change the nature of the medical profession and introduce new roles. The new jobs will go to personnel trained to work with physicians, to monitor and manage patient healthcare. This new career path will most likely combine data science with patient care and focus on providing a customer experience that is pleasant and efficient.
Artificial intelligence will change medicine dramatically, making it more proactive and economical. The automated insights from data will alter the architecture of healthcare irreversibly. Hopefully, as the healthcare system becomes smarter, patients can look forward to better care experiences that result in more productive and happier lives.