Tag: natural language processing

Unlock Value From Patient Experience Comments Using Natural Language Processing

Analytics, Information, InnovationBy Chris Plance and Kunal Patrawala, healthcare experts, PA Consulting.

Artificial intelligence tools, such as natural language processing (NLP), can be applied to unstructured data to produce real-time and nuanced insights. NLP can be applied to many types of unstructured data in a provider setting, however, the ideal approach is to apply these tools to a non-clinical source of unstructured data first.

Non-clinical unstructured data provides organizations with a perfect platform to develop their skills. Two well-known sources of such non-clinical unstructured data are consumer assessment of healthcare providers and systems (CAHPS) and hospital consumer assessment of healthcare providers and systems (HCAHPS) surveys. Applying NLP to CAHPS and HCAHPS surveys can help providers improve their top-box scores, build confidence and capabilities in their data skills, increase revenue, and allow organizations to take the crucial first steps towards the journey of unlocking 100% of their data.

CAHPS and HCAHPS Surveys play an important role in today’s Healthcare environment and are a substantial source of structured and unstructured data

CAHPS and HCAHPS are rating scale-based surveys that help providers discern patient perspectives such as patient experience and satisfaction. In 2019, more than 3 million patients completed HCAHPS surveys. Patient experience metrics from HCAHPS surveys create 25% of Hospital Value-Based Purchasing total performance scores, while CAHPS surveys are used by providers enrolled in the Merit-based Incentive Payment System (MIPS) program.

Similarly, private payers are also tying these metrics to reimbursement. The advent of healthcare consumerism has also led to patients extensively using tools such as CMS’s Star Ratings to make informed decisions. As a result, CAHPS and HCAHPS surveys have downstream effects on reimbursement, star ratings, and brand loyalty which makes improving top-box CAHPS and HCAHPS scores vital to a provider’s financial and operational health.

CAHPS and HCAHPS contain both structured (numerical ratings) and unstructured data (patient comments). These patient comments are accessible, and approximately 50% of the patients who take HCAHPS surveys leave comments. Unlocking this unstructured data can provide more comprehensive and specific information that cannot be gauged from only structured numerical ratings.

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Vital and Emory Healthcare Collaborate To Build Modern Emergency Room EHR

Vital Electronic Medical Records EHR Aaron PatzerVital — AI-powered software in hospital emergency rooms — announces its inaugural development partnership with Emory Healthcare. As part of the strategic collaboration, Emory Healthcare becomes a lead research partner in developing and implementing Vital’s software to improve overall efficiency and satisfaction for patients and clinicians across multiple Emory emergency rooms. Vital was conceptualized and co-founded by Justin Schrager, assistant professor of emergency medicine and ER doctor; with award-winning technical CEO Aaron Patzer.

Vital’s software is the first partnership out of the Emory University Innovation Hub, designed to identify unmet patient needs and find innovative solutions to put the patient at the center of care delivery. Vital’s live track board and real-time predictions of patients are being developed in the Emergency Departments of Emory University Hospital, Emory Johns Creek Hospital, Emory University Hospital Midtown, and Emory Saint Joseph’s Hospital. The goal of this pilot program is to measurably reduce wait times and overall length of stay for patients, while increasing patient satisfaction.

“We are overjoyed to have Emory Healthcare as our primary development partner and pilot sites,” said Patzer. “We are impressed with the commitment Emory leadership has made towards technological innovation and tackling truly challenging problems in emergency medicine. Working closely with top emergency physicians and nurses is essential to producing software that meets the needs of clinicians.”

Vital uses artificial intelligence (AI) and natural language processing (NLP) to triage patients,, making it easier and faster for providers to coordinate care and prioritize patients with a fast, reliable, and incredibly user-friendly system.

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