Industry Reinvigorated: Healthcare & Life Sciences

Stronger outcomes

NLP simplifies data management, promotes greater accessibility

Industry Reinvigorated: Healthcare & Life Sciences

Stronger outcomes

NLP simplifies data management, promotes greater accessibility

Advanced Analytics in healthcare & life sciences

Artificial Intelligence in the world of healthcare is capable of improving the quality of care and offering those solutions to a wider range of patients, as well as decreasing the cost of operation for healthcare providers. The healthcare industry is one that relies almost exclusively on medical data to make decisions, and by using the data that is generated with every symptom or every scan, AI can assist even the most experienced doctors in making these vital decisions they see every day, giving the patients the level of care they expect and require and simultaneously making care more affordable for the consumer and more profitable for the provider.

Health Care

Boost clinical performance

Clinicians can make better sense of their data with properly applied business analytics, as running a medical facility is highly complex.  AI can then also help avert security disasters by scouring unstructured data, helping to reverse the harm caused by human error, misuse, hacking and physical theft.

Learn About ‘Data’s Evolution in the Cloud: Healthcare’s Data Urgency.’



Faster, more accurate pharma research

Though we have made incredible recent progress in the medical field, there are countless parties making countless attempts at developing cures and new treatments for the maladies that still continue to plague us. Connecting the data from those tests and experiments has proven difficult, but AI allows us to view them in conjunction and make new insights and observations.

Life Sciences

Simplified data management

Machine learning can also be useful in healthcare use cases.   Incorporating speech recognition and Natural Language Processing (NLP) to record clinical content can assist in workflow, reduce errors and ultimately make medical data more accessible to patients.


Health Care

Data Security

Because of the private and personal nature of medical documents and information, as well as the rules regarding the disclosure of medical information, data security in the medical field is of the utmost importance. There are strict laws in the world of AI as well regarding health care data, and both medical professionals and their clients can rest easily knowing their information is safely secured.  Apply predictive analytics and deep learning to predict fraud and detect suspicious behavior in or near real-time.

How Dayton Analytics can help

We help harness the power of artificial intelligence, drive digital transformation and build digital teams via our future of work approach to knowledge worker alignment.

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