A call to action to improve the completeness of older adult sexual and gender minority data in electronic health records

May, Jennifer T; Myers, J.S.; Noonan, Devon; McConnell, Eleanor S.; Cary, Michael P.

doi:10.1093/jamia/ocad130

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Ethnicity, sexual orientation, and gender identity were not included in our data set because these variables were not well populated in our electronic health record, consistent with other institutions, suggesting these data are systemically lacking. 27,28…”

Section: Methodsmentioning

confidence: 99%

Access to Otolaryngologic Telemedicine Care Across the COVID-19 Pandemic at an Urban Tertiary Hospital System

Srinivasan,

Andreadis,

Ballakur

et al. 2024

Ear Nose Throat J

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Objective: To describe associations between patients’ demographic characteristics and access to telemedicine services in an urban tertiary academic medical system across the COVID-19 pandemic, and to identify potential barriers to access. Methods: This was a retrospective cohort study conducted at a single-center tertiary academic medical center. The study included adult patients undergoing outpatient otolaryngologic care in person or via telemedicine during 8 week timeframes: before the pandemic, at the onset of the pandemic, and during later parts of the pandemic. Patients were characterized by age, sex, race, insurance type, primary language, portal activation status, income estimate, and visit type. Where appropriate, chi-squared tests, Wilcoxon signed-rank tests, and logistic regression were used to compare demographic factors between the cohorts. Results: A total of 14,240 unique patients [median age, 58 years (range, 18-107 years); 56.5% were female] resulting in a total of 29,457 visits (94.8% in-person and 5.2% telemedicine) were analyzed. Patients seen in person were older than those using telemedicine. Telemedicine visits included a higher proportion of patients with private insurance, and fewer patients with government or no insurance compared to in-person visits. Race, income, and English as primary language were not found to have a significant effect on telemedicine use. Conclusion: In an urban tertiary medical center, we found significant differences in sociodemographic characteristics between patients who accessed otolaryngologic care in person versus via telemedicine through different phases of the COVID pandemic, reflecting possible barriers to care associated with telemedicine. Further studies are needed to develop interventions to improve access.

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Section: Methodsmentioning

confidence: 99%

Access to Otolaryngologic Telemedicine Care Across the COVID-19 Pandemic at an Urban Tertiary Hospital System

Srinivasan,

Andreadis,

Ballakur

et al. 2024

Ear Nose Throat J

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“…Notably, within the medical sphere, the utilization of computer network technology has witnessed significant strides, fundamentally transforming the landscape of medical information management. This technology enables rapid dissemination and sharing of information, enhances the efficiency of medical data storage and transmission, mitigates coding errors, and furnishes medical practitioners with enhanced workflow convenience and access to information resources[ 17 , 18 ]. The PDCA cycle management mode epitomizes a method of continuous improvement and governance, encompassing four primary phases: Plan, Do, Check, and Act[ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Adoption of network and plan-do-check-action in the international classification of disease 10 coding

Lian

2024

World J Clin Cases

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BACKGROUND with the widespread application of computer network systems in the medical field, the plan-do-check-action (PDCA) and the international classification of diseases tenth edition (ICD-10) coding system have also achieved favorable results in clinical medical record management. However, research on their combined application is relatively lacking. Objective: it was to explore the impact of network systems and PDCA management mode on ICD-10 encoding. Material and Method: a retrospective collection of 768 discharged medical records from the Medical Record Management Department of Meishan People’s Hospital was conducted. They were divided into a control group (n = 232) and an observation group (n = 536) based on whether the PDCA management mode was implemented. The two sets of coding accuracy, time spent, case completion rate, satisfaction, and other indicators were compared. AIM To study the adoption of network and PDCA in the ICD-10. METHODS A retrospective collection of 768 discharged medical records from the Medical Record Management Department of Meishan People’s Hospital was conducted. They were divided into a control group (n = 232) and an observation group (n = 536) based on whether the PDCA management mode was implemented. The two sets of coding accuracy, time spent, case completion rate, satisfaction, and other indicators were compared. RESULTS In the 3, 6, 12, 18, and 24 months of PDCA cycle management mode, the coding accuracy and medical record completion rate were higher, and the coding time was lower in the observation group as against the controls (P < 0.05). The satisfaction of coders (80.22% vs 53.45%) and patients (84.89% vs 51.72%) in the observation group was markedly higher as against the controls (P < 0.05). CONCLUSION The combination of computer networks and PDCA can improve the accuracy, efficiency, completion rate, and satisfaction of ICD-10 coding.

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Postacute Care and Long-term Care for LGBTQ+ Older Adults

Carnahan,

Pickett

2024

Clinics in Geriatric Medicine

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A call to action to improve the completeness of older adult sexual and gender minority data in electronic health records

Cited by 3 publications

References 17 publications

Access to Otolaryngologic Telemedicine Care Across the COVID-19 Pandemic at an Urban Tertiary Hospital System

Access to Otolaryngologic Telemedicine Care Across the COVID-19 Pandemic at an Urban Tertiary Hospital System

Adoption of network and plan-do-check-action in the international classification of disease 10 coding

Postacute Care and Long-term Care for LGBTQ+ Older Adults

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