Interview with Dr. Barbara Bierer to discuss her experiences in clinical trials, Clinical Natural Language Processing and why she decided to accept a Board position at Clinithink.
Maintaining the security and privacy of patient information is paramount to conducting clinical research and often times a prohibitive factor to deploying third party solutions. Forerunners in the use of automation to find eligible patients to enroll in clinical trials highlight the advantage of using CLiX ENRICH for Clinical Trials whereby they can process clinical […]
ICD-10, or the International Classification of Diseases 10th Revision, is used to collect morbidity and mortality information for populations all over the world. As a late adopter of the classification, the United States has its own specialized version of this clinical coding system, ICD-10-CM/PCS. The U.S. also uses this classification, as do many other countries […]
Researchers at Mount Sinai are making a paradigm shift in how they find and rank eligible patients by using CLiX ENRICH for Clinical Trials to analyze vast amounts of clinical data in the hundreds of thousands of patient records they hold. In this video blog, we spoke to Dr. Steven Coca, Dr. Girish Nadkarni and Stephen Ellis to understand the difference that CLiX ENRICH for Clinical Trials is making.
More drugs are being approved at a faster rate than ever before. Record numbers of new drugs were approved in 2014 and 2015, with marked increases in the approval of first cycle CDER applications. The increase in approvals can be attributed to both an increase in applications submitted for first in class drugs and orphan […]
Recruiting patients for clinical trials is notoriously a difficult and complex task. Typically, research sites rely on labor intensive, very inefficient and time consuming manual processes, including chart review and clinician memory to identify potential candidates. Even if you’re considering using a recruitment partner, they are still relying on conventional methods of advertising, manual vetting […]
Failure to recruit a sufficient number of suitable patients can delay a clinical trial by years, or even worse, result in failure to even get “out of the starting blocks”. Fortunately, automated on-site review of unstructured clinical narrative in a clinical data warehouse and/or EMR (Electronic Medical Record) using CLiX ENRICH for Clinical Trials can identify […]
Finding patients matching complex eligibility criteria for clinical trials requires review of unstructured narrative content in clinical notes, radiology/pathology reports, transcription files and discharge summaries. These narratives reveal treasures locked in unstructured data, helping organizations quickly identify patients for clinical trials. Manual vs. machine reading Manually reviewing vast numbers of clinical documents to find patients […]
Imagine if everything you observed in a patient encounter had to be compressed into 140 characters, the length of a tweet. This happens daily at hospitals and physicians’ offices around the world as coders translate physician-patient encounters into codes for billing, or what many refer to as “structured” data. Since close to two-thirds of patients’ […]
Unstructured narrative patient data, found in real world data sources such as progress notes and correspondence within electronic health records, contains a wealth of information that, if used correctly, can drive improvements in the clinical trial process. Currently, organizations must deploy expensive clinical personnel to manually review this existing rich and abundant resource for clinical […]