Health Tech

Laying the Foundation for Provider Insight with AI/NLP Technology

The healthcare industry has a data problem that is getting in the way of providing personalized care to patients. Providers are not alone in working to reduce manual tasks that hinder their ability to fine-tune care delivery and management for their patient populations. Payers have also recognized the need to leverage AI and intelligent technologies to free up their workforce to focus more closely on the healthcare needs of their members. In particular, payers want to unburden their care coordinators so that members have better access to information and support resources, simplify their care experiences, and promote prevention over more costly complex care.

That said, using AI to address limited access to timely and accurate data remains an even greater priority for clinicians who have the greatest impact on patient outcomes. The main takeaway from a physician survey by The Harris Poll and Google Cloud was their desire for “a 360-degree view of the patient, across all provider encounters, leads to faster, more accurate diagnosis, and better outcomes.”

Physicians recognize the power of high-quality data. Case in point: 96% believe easier access to critical information will help save a patient’s life; 95% believe increased data interoperability will ultimately help improve patient outcomes, and 86% believe improved health data exchange will significantly cut time to diagnosis.

For AI to fulfill the promises of innovators moving forward, the responsibility is on the shoulders of healthcare organizations to utilize this technology to find new ways to improve data workflow and streamline clinical decision-making processes.

According to the fourth annual Optum Survey on Artificial Intelligence (AI) in Health Care, executives increasingly believe in the power of artificial intelligence to help improve patient outcomes, support cost savings in the health system and promote health equity.

“The responsible use of AI continues to provide important opportunities for health care leaders to streamline administrative processes and provide more effective patient care with enhanced experiences for both patients and providers,” said Steve Griffiths, senior vice president, data and analytics, Optum Labs, the research and development arm of UnitedHealth Group. “These leaders are not just users of AI, but they have an opportunity to be looked to as role models across industries in their commitment to using AI responsibly.”

By giving structure to data, artificial intelligence/NLP transforms data sets into actionable information for providers to use at the point of care and lay the foundation for future insight as part of a “continuous cycle of learning.”

With investments in AI set to increase over the next five years, these technologies must base their analytical insights on a secure foundation of accurate, complete, and consistent data. Doing so will allow healthcare organizations to meet the needs of providers and patients today and position themselves for future innovation as AI continues to mature.

In healthcare, increased efficiency and productivity represent the most sought-after improvements across organizations. With advancements in artificial intelligence such as NLP, healthcare organizations must leverage technology to ensure that their providers are making clinical decisions based on the most pertinent and reliable information. A failure to invest in a solution that makes high-quality data available to clinicians can easily limit their ability to provide the highest level of quality care.

About Consensus Cloud Solutions, Inc.

Consensus Cloud Solutions, Inc. (NASDAQ: CCSI) is a global leader of digital technology for secure information transport. The company leverages its technology heritage to provide secure solutions that transform simple digital documents into actionable information, including advanced healthcare standards HL7 and FHIR for secure data exchange. Consensus offers eFax Corporate, a leading global cloud faxing solution; Consensus Signal for automatic real-time healthcare communications; Consensus Clarity, a Natural Language Processing and Artificial Intelligence solution; Consensus Unite and Consensus Harmony interoperability solutions; and jSign for secure digital signatures built on blockchain. For more information about Consensus, visit consensus.com and follow @ConsensusCS on Twitter.

To learn more, visit go.consensus.com/clarity

The editorial staff had no role in this post's creation.