What You Should Know: - AHRQ conducted a study to address the operational gap between CFIs and EFIs. This project focused on validating an established CFI using linked claims-EHR databases of multiple large health systems. The project provides a systematic approach that health systems can use to examine the quality of the EHR data and prepare it for the application of EFI measures. - The findings demonstrated that structured EHR data can be used by healthcare providers to identify frail
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Claims Data
Experian Health Launches AI-Driven Predictive Denials Management
What You Should Know: - Experian Health launches a new AI-Powered solution, AI Advantage that will help providers recoup the billions in lost dollars due to insurance claim denials. - These new solutions leverage AI and help healthcare providers prioritize their claims reimbursement process and decrease denials overall, saving time and money across the entire healthcare value chain and ultimately improving care and service for patient consumers. AI Advantage One of the top
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FHIR Adoption and Implementation Challenges
The Fast Healthcare Interoperability Resources (FHIR) standard was introduced by HL7 in 2014 as a significant replacement for the HL7 V2 and V3 standards. An open standard called FHIR, which was initially drafted in 2011 makes it easier than ever for legacy systems and new apps to exchange data. FHIR was created to not only increase communication efficiency and interoperability compared to earlier standards but also to facilitate implementation by giving clear specifications and allowing
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80% of Healthcare Execs Want Complete Clinical Data From Other EHRs
What You Should Know: - Health Gorilla, a Health Information Network and interoperability provider, released it's inaugural 2023 State of Interoperability report today to understand how healthcare decision-makers are approaching their clinical data strategies in light of patient privacy concerns and new federal regulations. - The study, conducted in collaboration with Flexpa and the Health Management Academy, found that 60% of health systems report duplicative or incomplete data retrieved
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Why EHR Data Is Key to Gathering More Accurate Medical Assessments
Patient data in electronic health records (EHRs) holds a wealth of insights that can enable health systems to better serve their patient populations. However, data from EHRs is challenging because this data is messy due to the lack of standardization in how clinical data is collected, and often times valuable information is buried in unstructured fields such as notes. Additionally, EHR data is disconnected from EHR data at other sites of care resulting in an incomplete view of the
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4 Roadblocks That Are Hindering The Promise of Predictive Analytics
COVID-19 will likely impact and strain healthcare systems for many years to come — possibly even forever. As its attention wanes, we need technology to step in and tell us when and how to act next. What if there was a way to predict the next COVID-19 surge months before it affected operations? How many beds will be available? PPE? Where will you need to allocate additional resources and staff? What other seasonal uptick of disease will it align with? Will our revenue take a
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AI/ML Used for Clinical Trial-Site Identification Simultaneously Improves Enrollment Rates and Diversity
Ethnic and racial minorities are commonly underrepresented in clinical trials. This problem is so severe that in April, the U.S. Food and Drug Administration (FDA) expanded upon existing guidance to further emphasize recommendations to sponsors developing treatments to increase enrollment from underrepresented populations in the U.S., including African-American, Hispanic, Asian and other persons of color, in clinical trials. In the updated guidance, the FDA provided details on what sponsors
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4 Roadblocks Hindering The Promise of Predictive Analytics
COVID-19 will likely impact and strain healthcare systems for many years to come — possibly even forever. As its attention wanes, we need technology to step in and tell us when and how to act next. What if there was a way to predict the next COVID-19 surge months before it affected operations? How many beds will be available? PPE? Where will you need to allocate additional resources and staff? What other seasonal uptick of disease will it align with? Will our revenue take a
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ConcertAI CEO Talks COVID-19 & The De-Risking of Technology to Keep Trials Moving
Nothing like it had ever happened before – a global slowdown in new study starts and a massive decrease in trial accruals for open studies. The turn of events was a shock for sponsors and providers. Sudden disruptions on that scale rarely hit multiple players in an ecosystem at the same time. But that’s exactly what happened at the intersection of clinical care and clinical development during the pandemic. Researchers and clinicians were forced to change how they operated trials, and
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Gradient AI Acquires Healthcare Analytics Business Unit from Prognos Health 
What You Should Know: - Gradient AI, a leading enterprise software provider of artificial intelligence (AI) solutions in the insurance industry, recently announced that it has acquired Prognos Health’s analytics business underwriting unit to leverage data from the company’s large collection of integrated medical records and lab data via its real-world data marketplace. - The acquisition will enable Gradient AI to expand its medical database capabilities by integrating Prognos Health’s data
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