Collaborating Authors

Nuance artificial intelligence speech recognition helps digitise the NHS


Nearly half of NHS trusts (43%; obtained from a Freedom of Information (FoI) request) are investing in artificial intelligence (AI) enabling patients to'self-help' when accessing services. The trusts are harnessing technology such as virtual assistants, speech recognition technology and chat bots to ease the pressure on healthcare workers across their organisations. These vital investments are geared up to primarily provide access to information and services all-day, every-day, but they also play a key role in reducing the numbers of patients queuing to see their GP for information they can now access through a virtual assistant. Research commissioned by Nuance in 2015 into the impact of clinical documentation in NHS acute care trusts revealed that clinicians spend over half of their work day on clinical documentation. In a more recent Nuance study of UK GP practices, over nine in 10 reported that patient documentation was a considerable burden for their practice and that in 49 per cent of the practices, over half their patient documentation is paper versus electronic format.

Artificial intelligence is helping physicians move the bar on clinical value -- Here's how


Clinical documentation is key to demonstrating value in outcomes-based medicine. Complete documentation helps to validate patient outcomes by reflecting the severity of a patient's medical condition, sharing key data with subsequent caregivers and optimizing claims processing and reimbursement. Although clinicians may think they are writing excellent clinical notes, physicians' unfamiliarity with ICD-10 coding often means their notes fail to meet heightened standards for specificity. When this happens, patient outcomes might not accurately reflect the quality of care provided, and may even negatively influence provider performance scores. "Once the final [patient] bill is established and sent out, that becomes what the rest of the world sees about the care you provided for that patient," Anthony Oliva, MD, vice president and CMO at Nuance, said during a discussion April 18 at Becker's Hospital Review's 8th Annual Meeting in Chicago.

8 Ways Healthcare Technology is Changing Medicine, Kendall & Davis


Healthcare technology continues to evolve at a rapid pace, altering how clinicians practice--from delivering patient care to documentation. Here is a look at some of the up-and-coming technologies in healthcare that could influence physician jobs and work opportunities for advanced practitioners. Artificial intelligence (AI), computers learning to think more like people, is making its way into healthcare technology. Algorithms draw on data to allow computers to perform specific tasks. "It's one of the most powerful technologies we have at our disposal," said David West, CEO and founder of Proscia, which uses AI to identify patterns on pathology slides.

5 strategies to maximize CDI Impact


Comprehensive clinical documentation can significantly improve the quality and ROI of patient care initiatives. Some of the impact areas include case-mix index (CMI), revenue, physician and hospital admission risk profiling, medical necessity and supply, and recovery audit contractor and compliance. Regulations like Medicare Access and CHIP Reauthorization Act (MACRA) and Center for Medicare and Medicaid Services (CMS) are impelling the shift from quantity-based to value-based clinical documentation improvement (CDI). That being said, despite the intensive focus on CDI, many medical institutions are still largely dependent on manual systems and processes. A 2017 ACDIS CDI Week Surveyrevealed that more than 48% of the respondents do not use computer assisted technologies like computer-assisted coding (CAC) and Natural Learning Processing (NLP).

DEAP documentation -- DEAP 1.1.0 documentation


DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data structures transparent. It works in perfect harmony with parallelisation mechanism such as multiprocessing and SCOOP. The following documentation presents the key concepts and many features to build your own evolutions.