DataDerm: Improving trends in performance measurement

BACKGROUND

Medicare's legacy quality reporting programs were consolidated into the Merit-Based Incentive Payment System (MIPS) in 2015.

PURPOSE

The DataDerm registry of the American Academy of Dermatology was examined to understand the potential for and subsequent rate of improvement across 23 performance measures.

METHODS

We examined the level of performance across 23 performance measures with at least 20 clinicians reporting on at least 50 patients' experience. We calculated the following values: the aggregate performance rate for each measure and the overall aggregate performance rate.

RESULTS

The aggregate performance rate for each measure ranged from 20.4% for AAD 1 (Psoriasis: Assessment of Disease Activity), to 99.9% for measure ACMS 1 (Avoidance of Opioid Prescriptions for Reconstruction After Skin Resection). Three of 23 measures had an aggregate performance over 95%. The overall aggregate performance rate across all 23 measures was 81.2%, indicating an aggregate potential for improvement of 18.8% across the 23 measures. Nine performance measures reported across the first five years of DataDerm's existence were tracked through time to understand trends in performance through time. The performance across the nine performance measures meeting the inclusion criteria consistently improved in the initial years (2016 through 2018) of DataDerm participation and showed some variation in 2019 and 2020.

CONCLUSIONS

These data provide evidence that the very act of participation in a multi-institutional registry and tracking compliance with performance measures can lead to improvements in compliance with the performance measures and therefore improvements in quality of care.

An overview of methods to mitigate artifacts in optical coherence tomography imaging of the skin

BACKGROUND

Optical coherence tomography (OCT) of skin delivers three-dimensional images of tissue microstructures. Although OCT imaging offers a promising high-resolution modality, OCT images suffer from some artifacts that lead to misinterpretation of tissue structures. Therefore, an overview of methods to mitigate artifacts in OCT imaging of the skin is of paramount importance. Speckle, intensity decay, and blurring are three major artifacts in OCT images. Speckle is due to the low coherent light source used in the configuration of OCT. Intensity decay is a deterioration of light with respect to depth, and blurring is the consequence of deficiencies of optical components.

METHOD

Two speckle reduction methods (one based on artificial neural network and one based on spatial compounding), an attenuation compensation algorithm (based on Beer-Lambert law) and a deblurring procedure (using deconvolution), are described. Moreover, optical properties extraction algorithm based on extended Huygens-Fresnel (EHF) principle to obtain some additional information from OCT images are discussed.

RESULTS

In this short overview, we summarize some of the image enhancement algorithms for OCT images which address the abovementioned artifacts. The results showed a significant improvement in the visibility of the clinically relevant features in the images. The quality improvement was evaluated using several numerical assessment measures.

CONCLUSION

Clinical dermatologists benefit from using these image enhancement algorithms to improve OCT diagnosis and essentially function as a noninvasive optical biopsy.