The adoption of Electronic Health Record (EHR) systems is growing at a fast pace in the U.S., and this growth results in very large quantities of patient clinical data becoming available in electronic format, with tremendous potentials, but also equally growing concern for patient confidentiality breaches. Secondary use of clinical data is essential to fulfill the potentials for high quality healthcare, improved healthcare management, and effective clinical research.
NIH expects that larger research projects share their research data in a way that protects the confidentiality of the research subjects. De-identification of patient data has been proposed as a solution to both facilitate secondary uses of clinical data, and protect patient data confidentiality. The majority of clinical data found in the EHR is represented as narrative text clinical notes, and de-identification of clinical text is a tedious and costly manual endeavor. Automated approaches based on Natural Language Processing have been implemented and evaluated, allowing for much faster de-identification than manual approaches.
Clinacuity, Inc. proposes a new system to automatically de-identify clinical notes found in the EHR, to then improve the availability of clinical text for secondary uses, as well as ameliorate the protection of patient data confidentiality: CliniDeID™
To strengthen patient information confidentiality protection, the HITECH Act heightened financial penalties incurred for breaches of PHI, even introducing criminal penalties. These new severe consequences for violation of patient information confidentiality render protection requirements even more obvious, and automatic high-accuracy clinical text de-identification, as offered by the system Clinacuity proposes, will strongly help healthcare and clinical research organizations avoid such consequences. CliniDeID improves access to richer, more detailed, and more accurate clinical data (in clinical text) for clinical researchers. It also eases research data sharing, and helps healthcare organizations protect patient data confidentiality.
Development of CliniDeID is funded by the National Institute of General Medical Sciences (NIGMS), with integration and evaluation at the Medical University of South Carolina (Charleston, SC) and University of Utah (Salt Lake City, UT).