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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Physician Notes
Health IT for Emerging “Payviders”
Though doubts about the benefits of the “payvider” model certainly exist, the success of recent payer-provider partnerships showcases the potential of these programs to improve the patient and provider experience. A study of Aetna’s integrated program, for example, found that plan members could realize significant savings for high-cost chronic conditions and experience fewer hospital admissions. A similar report from Cigna echoed these conclusions, finding that integrated benefit plans resulted
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PHINs: Addressing the Fundamental Flaws that Have Broken Healthcare
The fundamental problem with healthcare can be summed up in one sentence: We expect healthcare services that cater to our individual needs, yet the health care system operates under a one-size-fits-all, trial-and-error model. It is a model that results in missed diagnoses, protracted illnesses, and even premature death and wastes $935 billion annually.
The financial toll of this outmoded approach pales in comparison to the human toll. More than 128,000 people in the U.S. die each year
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4 Ways Health IT Can Improve Patient Engagement & Cost Transparency
Imagine having to make a large purchase, but not having any insight into how much it will cost or if you will be able to access it after you have purchased it. Most consumers wouldn’t make an investment like that; they would demand information into where their money is going and what they would be bringing home with them. But as patients, this is a scenario that can be all too familiar: we aren’t sure what we’re going to have to pay and then don’t have much if any, understandable information to
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TriNetX Launches NLP Service to Extract Clinical Facts From Physician Notes & Clinical Reports
TriNetX, a global health research network for healthcare organizations, biopharmaceutical companies, and Contract Research Organizations (CROs), today announced the general availability of its Natural Language Processing (NLP) service. TriNetX’s NLP service utilizes sophisticated algorithms to extract clinical facts from physician notes and clinical reports, links them with other Electronic Medical Record (EMR) data, and makes the combined data available for assessing study feasibility, protocol
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