Starting from deep learning algorithms that can read CT scans reports faster than humans to natural language processing (NLP) can process unstructured data in electronic health records (EHRs), the applications for AI in healthcare seem endless. AI is disrupting every industry, but the advances made by the healthcare sector are truly unparalleled. With increasing cost pressure and policy imperatives to manage patients, the need to aggregate data across departments within a healthcare organization has become apparent not only to realize the true potential of AI but also to improve the efficiency of existing data.
Most hospitals already have accumulated several years of data that can be used to generate data models and benefit across clinical, operational, and revenue cycle processes. Also, using AI technology, along with both short-term and long-term strategies, are critical components of any effort to leverage data. AI can process a patient’s data not only to help physicians understand their medical history but also helps in predicting the complications a patient may face and also their possibility of readmission. This feature of AI, in turn, translates to better health outcomes for the patients, and it could also make a difference in improving reimbursements and regulatory compliance.
This edition of Healthcare Tech Outlook features companies such as BluePatient and Granta Innovation which are at the forefront of providing agile AI services. Healthcare Tech Outlook’s editorial board has assessed and shortlisted some of the most prominent organizations in the industry that solve challenges by implementing the current technological trends in the space. Through this special edition, we present to you “Top 10 Artificial Intelligence Consulting/Services Companies in UK - 2019.”