Developing an Ophthalmology Clinical Decision Support System to Identify Patients for Low Vision Rehabilitation

Ethical considerations for large language models in ophthalmology

PURPOSE OF REVIEW

This review aims to summarize and discuss the ethical considerations regarding large language model (LLM) use in the field of ophthalmology.

RECENT FINDINGS

This review of 47 articles on LLM applications in ophthalmology highlights their diverse potential uses, including education, research, clinical decision support, and surgical assistance (as an aid in operative notes). We also review ethical considerations such as the inability of LLMs to interpret data accurately, the risk of promoting controversial or harmful recommendations, and breaches of data privacy. These concerns imply the need for cautious integration of artificial intelligence in healthcare, emphasizing human oversight, transparency, and accountability to mitigate risks and uphold ethical standards.

SUMMARY

The integration of LLMs in ophthalmology offers potential advantages such as aiding in clinical decision support and facilitating medical education through their ability to process queries and analyze ophthalmic imaging and clinical cases. However, their utilization also raises ethical concerns regarding data privacy, potential misinformation, and biases inherent in the datasets used. Awareness of these concerns should be addressed in order to optimize its utility in the healthcare setting. More importantly, promoting responsible and careful use by consumers should be practiced.

Social determinants of health and health disparities in glaucoma: A review

Social determinants of health and barriers to care can significantly impact patients' access to glaucoma care and treatment, resulting in disparities within disease presentation, progression, management, and treatment outcomes. The widespread adoption of electronic health record systems has allowed researchers and clinicians to further explore these relationships, identifying factors such as race, ethnicity, and socioeconomic status to be risk factors for more severe disease and lower treatment adherence. These disparities highlight potential targets for interventions to combat these disparities and improve overall patient outcomes. This article provides a summary of the available data on health disparities within glaucoma disease presentation, progression, management, treatment, and outcomes and discusses interventions to improve care delivery and outcomes among patients with glaucoma.

Low Vision Rehabilitation Service Utilization Before and After Implementation of a Clinical Decision Support System in Ophthalmology

IMPORTANCE

Electronic clinical decision support systems apply clinical guidelines in real time and offer a new approach to improve referral and utilization of low vision rehabilitation (LVR) care.

OBJECTIVE

To characterize patients and factors associated with LVR service utilization with and without the use of an electronic health record (EHR) clinical decision support system (CDSS) alert.

DESIGN, SETTING, AND PARTICIPANTS

Quality improvement study using EHR data to compare patients who did and did not utilize LVR service after referral between November 6, 2017, and October 5, 2019, (primary) and to assess overall service utilization rate from September 1, 2016, to April 2, 2021, regardless of referral status (secondary). Participants in the primary analysis were patients at a large ophthalmology department in an academic medical center in the US who received an LVR referral recommendation from their ophthalmologist according to the CDSS alert. The secondary analysis included patients with best documented visual acuity (BDVA) worse than 20/40 before, during, and after the CDSS implementation. Data were analyzed from August 2021 to April 2022.

EXPOSURES

Number and locations of referral recommendations for LVR service according to the CDSS alert in the primary analysis; active CDSS implementation in the secondary analysis.

MAIN OUTCOMES AND MEASURES

LVR service utilization rate was defined as the number of patients who accessed service among those who were referred (primary) and among those with BDVA worse than 20/40 (secondary). EHR data on patient demographics (age, sex, race, ethnicity) and ophthalmology encounter characteristics (numbers of referral recommendations, encounter location, and BDVA) were extracted.

RESULTS

Of the 429 patients (median [IQR] age, 71 [53 to 83] years; 233 female [54%]) who received a CDSS-based referral recommendation, 184 (42.9%) utilized LVR service. Compared with nonusers of LVR, users were more likely to have received at least 2 referral recommendations (12.5% vs 6.1%; χ21 = 5.29; P = .02) and at an ophthalmology location with onsite LVR service (87.5% vs 78.0%; χ21 = 6.50; P = .01). Onsite LVR service (odds ratio, 2.06; 95% CI, 1.18-3.61) persisted as the only statistically significant factor after adjusting for patient demographics and other referral characteristics. Among patients whose BDVA was worse than 20/40 before, during, and after the CDSS implementation regardless of referral status, the LVR service utilization rate was 6.1%, 13.8%, and 7.5%, respectively.

CONCLUSIONS AND RELEVANCE

In this quality improvement study, ophthalmologist referral recommendations and onsite LVR services at the location where patients receive other ophthalmic care were significantly associated with service utilization. Ophthalmology CDSSs are promising tools to apply clinical guidelines in real time to improve connection to care.

Barriers and facilitators in the referral pathways to low vision services from the perspective of patients and professionals: a qualitative study

BACKGROUND

Underutilization of and lack of access to low vision services (LVS) has been reported internationally. The purpose of this study was to identify barriers and facilitators in LVS referral procedures and service delivery from both the perspective of people with visual impairment and professionals from different eye care providers in the Netherlands.

METHODS

A qualitative study in the Netherlands was conducted. Barriers and facilitators were explored through semi structured interviews with older adults with macular degeneration, diabetic retinopathy and/or glaucoma (n = 14), and healthcare professionals including ophthalmologists and LVS professionals (n = 16). Framework analysis was used for analyzing the interviews with Atlas.ti software.

RESULTS

According to both patients and professionals, facilitators in LVS access and utilization are having motivation, self-advocacy, high participation needs and social support, as well as being negatively impacted by the impairment. Both samples found having good communication skills and informing patients about LVS as a healthcare provider to facilitate access. A long patient-provider relationship and the Dutch healthcare system were also mentioned as facilitators. Professionals additionally found long disease duration and the presence of low vision optometric services in the ophthalmic practice to promote access. Barriers that were reported by patients and professionals are lack of motivation, self-advocacy and acceptance of the impairment in patients. In addition, having low participation needs as a patient, lack of information provision by providers and time constraints in the ophthalmic practice were mentioned as barriers. Professionals also reported lack of social support, short disease duration of patients, a short patient-provider relationship and lack of coordination of care in the ophthalmic practice to hinder access.

CONCLUSIONS

Findings suggest that providers' lack of information provision about LVS, especially to patients who are less assertive, hamper referral to LVS. Providers should have attention for patients' LVS needs and actively inform them and their social network about LVS to facilitate access. Educating and training providers about how and when to address LVS may help to reduce barriers in the referral pathways. In addition, referral procedures may benefit from tools that make providers more aware of LVS.