Browsing by Author "Chandiramani, Anisha"

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    Overcoming barriers to the adoption and implementation of predictive modeling and machine learning in clinical care: what can we learn from US academic medical centers?
    (JAMIA open, 2020-07) Watson, Joshua; Hutyra, Carolyn A; Clancy, Shayna M; Chandiramani, Anisha; Bedoya, Armando; Ilangovan, Kumar; Nderitu, Nancy; Poon, Eric G
    There is little known about how academic medical centers (AMCs) in the US develop, implement, and maintain predictive modeling and machine learning (PM and ML) models. We conducted semi-structured interviews with leaders from AMCs to assess their use of PM and ML in clinical care, understand associated challenges, and determine recommended best practices. Each transcribed interview was iteratively coded and reconciled by a minimum of 2 investigators to identify key barriers to and facilitators of PM and ML adoption and implementation in clinical care. Interviews were conducted with 33 individuals from 19 AMCs nationally. AMCs varied greatly in the use of PM and ML within clinical care, from some just beginning to explore their utility to others with multiple models integrated into clinical care. Informants identified 5 key barriers to the adoption and implementation of PM and ML in clinical care: (1) culture and personnel, (2) clinical utility of the PM and ML tool, (3) financing, (4) technology, and (5) data. Recommendation to the informatics community to overcome these barriers included: (1) development of robust evaluation methodologies, (2) partnership with vendors, and (3) development and dissemination of best practices. For institutions developing clinical PM and ML applications, they are advised to: (1) develop appropriate governance, (2) strengthen data access, integrity, and provenance, and (3) adhere to the 5 rights of clinical decision support. This article highlights key challenges of implementing PM and ML in clinical care at AMCs and suggests best practices for development, implementation, and maintenance at these institutions.
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    The Association Between Sociodemographic Factors, Social Determinants of Health, and Spine Surgical Patient Portal Utilization.
    (Clinical spine surgery, 2023-10) Owolo, Edwin; Owolo, Edwin; Petitt, Zoey; Charles, Antoinette; Baëta, César; Poehlein, Emily; Green, Cynthia; Cook, Chad; Sperber, Jacob; Chandiramani, Anisha; Roman, Matthew; Goodwin, C Rory; Erickson, Melissa

    Study design

    Retrospective cohort study.

    Objective

    To examine patient portal use among the surgical spine patient population across different sociodemographic groups and assess the impact of patient portal use on clinical outcomes.

    Summary of background data

    Patient portals (PP) have been shown to improve outcomes and quality of care. Engaging them requires internet access, technological literacy, and dexterity, which may serve as access barriers.

    Methods

    After exclusion criteria were applied, the study included data for 9211 encounters from 7955 patients. PP utilization was defined as having activated and used the Duke University Medical Center patient portal system, MyChart, at least once. Sociodemographic characteristics included urbanicity, age, race, ethnicity, language, employment, and primary insurer. Clinical outcomes included the length of hospital stay during the procedure, 30-day return to the emergency department, 30-day readmission, and being discharged somewhere other than home.

    Results

    Being older than 65, non-White, unemployed, non-English-speaking, male, not-partnered, uninsured or publicly insured (Medicaid, Medicare and under 65 years of age, or other government insurance), and living in a rural environment were all risk factors for decreased PP utilization among surgical spine patients. A one-risk factor decrease in the number of social risk factors was associated with a 78% increase in the odds of PP utilization [odds ratio (OR): 1.78; 95% Confidence interval (CI): 1.69-1.87; P <0.001]. Patients not utilizing the portal at the time of their procedure had higher odds of 30-day readmission (OR: 1.59; 95% CI: 1.26-2.00), discharge somewhere other than home (OR: 2.41, 95% CI: 1.95-2.99), and an increased length of hospital stay (geometric mean ratio: 1.21; 95% CI: 1.12-1.30) compared with those who utilized it.

    Conclusions

    In patients undergoing spine procedures, PPs are not equally utilized among different sociodemographic groups. PP utilization is also associated with better outcomes. Interventions aimed at increasing PP uptake may improve care for certain patients.