Clean patient data is the critical first step for any successful health IT integration, EHR conversion, interoperability initiative or electronic information exchange. According to a recent Pew Charitable Trusts report, most hospital executives and administrators believe the accuracy of patient matching when information is exchanged between organizations with different EHR systems is subpar.
Further, as health systems continue to consolidate and add more data to their networks, the importance of
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Healthcare Algorithms | News, Analysis, Insights - HIT Consultant
3 Use Cases for Artificial Intelligence in Healthcare
Artificial intelligence is bringing about major innovations in healthcare in a number of different ways. While so much regarding artificial intelligence involves the future, but within healthcare, it is not just plans or intentions, but AI is already a concrete reality in the field.
It has all been set in motion by advances in machine learning and fueled by the increasing availability of healthcare data. AI aims to simulate human cognitive functions. It can replace human judgment in
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UCLA Spin Out DEARhealth Lands $6M for AI-Powered Pathways for Chronic Care
DEARhealth, a health IT spin-out
from the University of California, Los Angeles (UCLA) has raised $6.8 million
in Series A funding to expand its AI-powered pathway platform for chronic care.
Participants in the Series A funding round include Philips Health Technology
Ventures, Vesalius Biocapital III and Health Innovations.
DEARhealth was founded in
2011 by Daniel Hommes as a research project when a team of UCLA specialists
designed a value-based care program for the management of chronic
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Why Hospital M&A Activity Must Include Plans for EHR Data Integration
John Walton, a data expert who worked under Ross Perot, shares his insights on how organizations can successfully come together without coming undone.
Data—it’s the thread that promises to tie merging healthcare entities together, but more often than not, it can feel more like the primary source of its unraveling. So why are newly merged and acquired health organizations, particularly hospitals, feeling so threadbare?
Despite the belief that such a move will make data sharing easier, evidence to
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Geisinger Selects EarlySign to Apply AI Algorithms to Identify Patients At Risk of Lower GI Disorders
Geisinger Health System announced it is partnering with machine learning solution provider EarlySign to develop AI-based solutions to identify individuals at risk of a range of chronic and high-burden diseases. The multi-year agreement will begin by deploying EarlySign’s LGI Flag through Geisinger’s Steele Institute for Health Innovation – to identify patients at risk of lower gastrointestinal conditions – including colorectal cancer and precancerous adenomas. This partnership follows the
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Innovaccer Launches Data Solution to Enable ACOs’ Seamless Transition to Value-Based Care
A survey suggests that 71% of accountable care organizations would rather quit the Medicare Shared Savings Program than assume down risks. Although ACOs are leading the transition from volume-based care to value-based care, a lot of them face the lack of confidence in meeting the quality and cost benchmarks. When ACOs don’t have adequate knowledge and control over the network, earning shared savings can be quite challenging. Data from disparate sources such as EHRs, payer claims, PMS and HIEs
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Can AI Transform Patient Care from Reactive Craft to Strategic Art?
Personalized Analytics is becoming essential in healthcare, stemming from the movement from fee-for-service to a value-based market. The need to preempt and prevent disease on a more personal level, rather than merely reacting to symptoms, has created a significant opportunity for machine learning-based applications. This “analytics of one” approach (using advanced mathematical models and artificial intelligence techniques) is already impacting several key areas:
1. Medical imaging is utilizing
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AI in Healthcare: Enhancing Risk Models to Predict the Future Cost of Care
Traditionally, providers and health systems have relied on claims-based risk models, such as the CMS-HCC, ACG, and DxCG, which were built to forecast the risk of populations, but not at an individual level. While these models give a fairly good estimation of the risk of the population, they exhibit unsatisfactory estimation if used to predict the risk at an individual level.Innovaccer Inc., a healthcare data activation company, has taken a major step towards revolutionizing the way we identify
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Paperless Beyond EMRs: 3 Reasons Why Healthcare Should Switch to Online Forms
Electronic medical records (EMRs) introduced a new era of healthcare management. Should healthcare operators want to venture farther, they may need to consider digitizing their internal operations, as well.Hospitals and clinics present extremely complex environments to manage. There is little wonder that manual and piecemeal approaches to everyday operations are no longer sufficient. Many healthcare operators are therefore turning to modern technologies. They can be optimized to make healthcare
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AMA Grants New CPT Code for KidneyIntelX to Support Medicare & Reimbursement
The American Medical Association (AMA) has granted a CPT® Proprietary Laboratory Analyses (PLA) Code for Renayltix AI’s lead product, KidneyIntelX. The new code, 0105U, has been approved and published by the AMA CPT Editorial Panel, and is scheduled to become effective on October 1, 2019.Medicare Price for New CPT CodeA payment rate for the new code will be established for Medicare patients through the 2019 Clinical Lab Fee Schedule (CLFS) Annual Public Meeting process. Renayltix AI will shortly
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