A Picture is Worth 1,000 Words. The Use of Clinical Images in Electronic Medical Records

Current Status of using Scale Bar on Clinical Images and Methods to Insert it

Clinical images are of utmost importance for the majority of dermatological research and publications. The rich collection of clinical images in medical journals may help in formulating machine learning programs in the future or facilitate image-based meta-analysis. However, the presence of a scale bar in those images is required for measuring the lesion from an image. We audited recent issues of three widely circulated Indian dermatology journals and found that among 345 clinical images, 2.61% had a scale with the unit. With this background, in this article, we provided three methods for capturing and processing clinical images with scale. This article would help dermatologists to think about incorporating a scale bar in the image for the progress of science.

Clinical photography processes (ClinPhoto) study for photo diversity

Although clinical photography serves an important role in the education of clinicians, there is still a disparity of darker skin tones in the photographs used for medical education. This disparity results in a skill deficit for clinicians because the differences in skin pigmentation change the appearance of visible diseases so that it is essential for students and trainees to have examples of clinical photographs on varying skin tones. To effectively address the problem, we need to understand the complex sociotechnical processes involved in clinical photography, which is more than simply the act of taking a photograph. Therefore, we conducted semi-structured interviews on clinical photography with 10 clinicians, 1 medical photographer, and 1 clinical administrator at a tertiary academic medical centre. The interviews revealed 5 deductive themes based on the questions and 19 inductive codes within those themes on how clinical photography is conducted. Analysis of the themes through a lens of critical theory showed how simple awareness of the disparity has not led to interventions for the poor representation of varying skin tones in photographs for medical education and also suggests initial next steps.

Peripapillary Atrophy Segmentation and Classification Methodologies for Glaucoma Image Detection: A Review

Information-based image processing and computer vision methods are utilized in several healthcare organizations to diagnose diseases. The irregularities in the visual system are identified over fundus images shaped over a fundus camera. Among ophthalmology diseases, glaucoma is measured as the most common case that can lead to neurodegenerative illness. The unsuitable fluid pressure inside the eye within the visual system is described as the major cause of those diseases. Glaucoma has no symptoms in the early stages, and if it is not treated, it may result in total blindness. Diagnosing glaucoma at an early stage may prevent permanent blindness. Manual inspection of the human eye may be a solution, but it depends on the skills of the individuals involved. The auto diagnosis of glaucoma by applying a consolidation of computer vision, artificial intelligence, and image processing can aid in the ban and detection of those diseases. In this review article, we aim to introduce a review of the numerous approaches based on peripapillary atrophy segmentation and classification that can detect these diseases, as well as details about the publicly available image benchmarks, datasets, and measurement of performance. The review article introduces the demonstrated research of numerous available study models that objectively diagnose glaucoma via peripapillary atrophy from the lowest level of feature extraction to the current direction based on deep learning. The advantages and disadvantages of each method are addressed in detail, and tabular descriptions are included to highlight the results of each category. Moreover, the frameworks of each approach and fundus image datasets are provided. The improved reporting of our study would help in providing possible future work directions to diagnose glaucoma in conclusion.

Experiences of Health Care Providers Using a Mobile Medical Photography Application

OBJECTIVE

To understand the ways in which providers use a mobile photography application integrated with the electronic health record (EHR) to facilitate clinical care, and the process outcomes that result from the application's use.

METHODS

An e-mail survey was sent on November 13, 2017, to 1,463 health care providers at Mayo Clinic who had used an internally developed, EHR-integrated medical photography application.

RESULTS

The survey was completed by 712 (49%) providers. Providers reported using the application on approximately 1 in 7 days spent in clinical practice. Median provider satisfaction with the use of the application (0-100 scale; higher numbers indicate favorable response) was 94 (interquartile range [IQR]: 74-100). Although the use for store-and-forward telemedicine was reported (22% often or frequently used the application to send photographs to a specialist for advice), the most common use was for clinical documentation (65% often or frequently used the application to supplement text-based notes with photographs, and 71% often or frequently used the application to take photographs for reference by a colleague who may see the patient in the future). Of the health care providers, 36% indicated that the application's use often or frequently expedited treatment.

DISCUSSION

Health care providers reported using a mobile point-of-care medical photography application regularly in clinical practice and were generally satisfied with the application.

CONCLUSION

Point-of-care medical photography using a secure mobile, EHR-integrated application has potential to become a new standard of care for clinical documentation and may facilitate continuity across the continuum of care with multiple providers who see a patient.

Use of an EHR-Integrated Point-of-Care Mobile Medical Photography Application in a Pediatric Emergency Department

BACKGROUND

Mobile applications allow health care providers to capture point-of-care medical photographs and transfer them to the electronic health record (EHR). It is unclear how providers use these photographs or how they affect clinical care.

OBJECTIVES

We aimed to understand the content, purpose, and outcomes of point-of-care medical photography performed in the pediatric emergency department (ED) at large academic medical center.

METHODS

A retrospective chart review was conducted of patients <21 years of age who were seen in the ED and photographed between March 29, 2015 and July 1, 2017 using a secure smartphone application integrated with the EHR. Inter-rater agreement and reliability between the two reviewers was assessed for the first 50 charts, and any discrepancies in interpretation were resolved before proceeding with the remaining data abstraction. The documented rationale for photography, content of photographs, and outcomes were recorded.

RESULTS

We identified 619 clinical encounters involving photographs of 605 patients who were eligible for inclusion. Skin was photographed in 499 (81%). The most common finding was rash (N = 177; 29%). Photos were of acceptable quality, with 569 (94%) achieving a score between 4 and 5 out of 5. The primary use of photography was documentation (N = 334; 54%), though teleconsultation was noted in 38 (6%). Nearly one-third (N = 187; 30%) of patients were seen in the ED or outpatient clinic for any reason within 2 weeks, and in 25 (13%), clinical notes explicitly referenced the initial photograph(s). In 53 (9%) cases, patients were photographed at a clinical visit in the subsequent 2 weeks, suggesting that photography was used to track changes over time.

CONCLUSION

Documentation of findings using mobile point-of-care photography allows for high-fidelity documentation and facilitates continuity of care.

A smartphone, a slit lamp, and an ophthalmology consult

Clinicians should always consider capturing images with their phone when possible so that key clinical findings seen in the real-time physical examination can be memorialized in the electronic medical record.

Recent Advances in Technology and Its Applications to Pediatric Emergency Care

Advances in technology are continuously transforming medical care, including pediatric emergency medicine. The increasing adoption of point-of-care ultrasound examination can improve timely diagnoses without radiation and aids the performance of common procedures. The recent dramatic increase in electronic health record adoption offers an opportunity for enhanced clinical decision-making support. Simulation training and advances in technologies can provide continued proficiency training despite decreasing opportunities for pediatric procedures and cardiorespiratory resuscitation performance. This article reviews these and other recent advances in technology that have had the greatest impact on the current practice of pediatric emergency medicine.