scholarly journals Data-Driven Identification of Risk Factors of Patient Satisfaction at a Large Urban Academic Medical Center

PLoS ONE ◽  
2016 ◽  
Vol 11 (5) ◽  
pp. e0156076 ◽  
Author(s):  
Li Li ◽  
Nathan J. Lee ◽  
Benjamin S. Glicksberg ◽  
Brian D. Radbill ◽  
Joel T. Dudley
Keyword(s):  
Risk Factors ◽  
Patient Satisfaction ◽  
Medical Center ◽  
Academic Medical Center ◽  
Data Driven ◽  
Academic Medical

Evaluation of Patient Experience from Telemedicine Use for an Anesthesiology Pain Division: Time, Cost, and Patient Satisfaction Analysis (Preprint)

2021 ◽  
Author(s):  
Laleh Jalilian ◽  
Irene Wu ◽  
Jakun Ing ◽  
Xuezhi Dong ◽  
George Pan ◽  
...  
Keyword(s):  
Patient Satisfaction ◽  
Pain Management ◽  
Travel Time ◽  
Medical Center ◽  
Academic Medical Center ◽  
Cost Savings ◽  
Travel Distance ◽  
Patient Cost ◽  
Academic Medical ◽  
Pain Patients

BACKGROUND An increasing number of patients require outpatient and interventional pain management. To help meet the rising demand for anesthesia pain subspecialty care in rural and metropolitan areas, healthcare providers have utilized telemedicine for pain management of both interventional and chronic pain patients. OBJECTIVE This study describes telemedicine implementation for pain management at an academic pain division in a large metropolitan area. The study estimates patient cost savings from telemedicine, before and after the California COVID-19 "Safer at Home" directive, and patient satisfaction with telemedicine for pain management care. METHODS This was a retrospective, observational case series study of telemedicine use in a pain division at an urban academic medical center. From August 2019 to June 2020, we evaluated 1,398 patients and conducted 2,948 video visits for remote pain management care. We utilize publicly available IRS Statistics of Income data to estimate hourly earnings by zip code in order to estimate patient cost savings. We estimate median travel time, travel distance, direct cost of travel, and time-based opportunity savings and report patient satisfaction scores. RESULTS Telemedicine patients avoided an estimated median roundtrip driving distance of 26 miles and a median travel time of 69 minutes during afternoon traffic conditions. Within sample, the median hourly earnings was $28/hr. Patients saved a median of $22 on gas and parking and a total of $52 per telemedicine visit based on estimated hourly earnings and travel time. Patients evaluated serially with telemedicine for medication management saved a median of $156 over three visits. 91% of patients surveyed (n = 313) were satisfied with their telemedicine experience. CONCLUSIONS Telemedicine use for pain management reduced travel distance, travel time, and travel and time-based opportunity costs for pain patients. We achieved the successful implementation of telemedicine across a pain division in an urban academic medical center with high patient satisfaction and patient cost savings.

Risk factors for acute kidney injury associated with the treatment of bacterial endocarditis at a tertiary academic medical center

2017 ◽  
Vol 29 (5) ◽  
pp. 292-298 ◽  
Author(s):  
Brianne M. Ritchie ◽  
Beth A. Hirning ◽  
Craig A. Stevens ◽  
Steven A. Cohen ◽  
Jeremy R. DeGrado
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
Medical Center ◽  
Academic Medical Center ◽  
Kidney Injury ◽  
Bacterial Endocarditis ◽  
Academic Medical

scholarly journals Two Data-Driven Approaches to Identifying the Spectrum of Problematic Opioid Use: A Pilot Study within a Chronic Pain Cohort

2021 ◽  
Author(s):  
Lori Schirle ◽  
Alvin D Jeffery ◽  
Ali Yaqoob ◽  
Sandra Sanchez-Roige ◽  
David C. Samuels
Keyword(s):  
Language Processing ◽  
Medical Center ◽  
Academic Medical Center ◽  
Correlation Coefficients ◽  
Pilot Project ◽  
Data Driven ◽  
Risk Scores ◽  
Opioid Use ◽  
Academic Medical ◽  
Manual Review

Background: Although electronic health records (EHR) have significant potential for the study of opioid use disorders (OUD), detecting OUD in clinical data is challenging. Models using EHR data to predict OUD often rely on case/control classifications focused on extreme opioid use. There is a need to expand this work to characterize the spectrum of problematic opioid use. Methods: Using a large academic medical center database, we developed 2 data-driven methods of OUD detection: (1) a Comorbidity Score developed from a Phenome-Wide Association Study of phenotypes associated with OUD and (2) a Text-based Score using natural language processing to identify OUD-related concepts in clinical notes. We evaluated the performance of both scores against a manual review with correlation coefficients, Wilcoxon rank sum tests, and area-under the receiver operating characteristic curves. Records with the highest Comorbidity and Text-based scores were re-evaluated by manual review to explore discrepancies. Results: Both the Comorbidity and Text-based OUD risk scores were significantly elevated in the patients judged as High Evidence for OUD in the manual review compared to those with No Evidence (p = 1.3E-5 and 1.3E-6, respectively). The risk scores were positively correlated with each other (rho = 0.52, p < 0.001). AUCs for the Comorbidity and Text-based scores were high (0.79 and 0.76, respectively). Follow-up manual review of discrepant findings revealed strengths of data-driven methods over manual review, and opportunities for improvement in risk assessment. Conclusion: Risk scores comprising comorbidities and text offer differing but synergistic insights into characterizing problematic opioid use. This pilot project establishes a foundation for more robust work in the future.

scholarly journals Assessment of Patient Satisfaction With Dermatology Clinics According to Clinic Type: Mixed Methods Study (Preprint)

2019 ◽  
Author(s):  
Jennifer Costigan ◽  
Sue S Feldman ◽  
Mark Lemak
Keyword(s):  
Patient Satisfaction ◽  
Mixed Methods ◽  
Medical Center ◽  
Academic Medical Center ◽  
University Of Alabama ◽  
Contributing Factors ◽  
Rapid Access ◽  
Academic Medical ◽  
Survey Responses ◽  
The University

BACKGROUND Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey responses are considered significant indicators of the quality of care and patient satisfaction. There is a pressing need to improve patient satisfaction rates as CAHPS survey responses are considered when determining the amount a facility will be reimbursed by the Centers of Medicare and Medicaid each year. Low overall CAHPS scores for an academic medical center’s dermatology clinics were anecdotally attributed to clinic type. However, it was unclear whether clinic type was contributing to the low scores or whether there were other factors. OBJECTIVE This study aimed to determine where the efforts of patient satisfaction improvement should be focused for two different types of dermatology clinics (private and rapid access clinics). METHODS This study used a concurrent mixed methods design. Secondary data derived from the University of Alabama at Birmingham Hospital’s Press Ganey website were analyzed for clinic type comparisons and unstructured data were qualitatively analyzed to further enrich the quantitative findings. The University of Alabama at Birmingham Hospital is an academic medical center. The data were analyzed to determine the contributors responsible for each clinic not meeting national benchmarks. Thereafter, a review of these contributing factors was further performed to assess the difference in CAHPS scores between the private and rapid access clinics to determine if clinic type was a contributing factor to the overall scores. RESULTS The data sample included 821 responses from May 2017 to May 2018. Overall, when both private clinics and rapid access clinics were viewed collectively, majority of the patients reported stewardship of patient resources as the most poorly rated factor (367/549, 66.8%) and physician communication quality as the most positively rated factor (581/638, 91.0%). However, when private clinics and rapid access clinics were viewed individually, rapid access clinics contributed slightly to the overall lower dermatology scores at the academic medical center. CONCLUSIONS This study determined that different factors were responsible for lower CAHPS scores for the two different dermatology clinics. Some of the contributing factors were associated with the mission of the clinic. It was suspected that the mission had not been properly communicated to patients, leading to misaligned expectations of care at each clinic.

scholarly journals An Ophthalmology Resident-Led Quality Improvement Initiative to Decrease the Incidence of Perioperative Corneal Injury

2019 ◽  
Vol 11 (02) ◽  
pp. e49-e53
Author(s):  
Amanda L. Ely ◽  
Mark Goerlitz-Jessen ◽  
Ingrid U. Scott ◽  
Erik Lehman ◽  
Tabassum Ali ◽  
...  
Keyword(s):  
Risk Factors ◽  
Quality Improvement ◽  
Chart Review ◽  
Medical Center ◽  
Academic Medical Center ◽  
Retrospective Chart Review ◽  
Corneal Injury ◽  
Surgical Case ◽  
Anesthesia Providers ◽  
Academic Medical

Abstract Objective This article evaluates the effectiveness of an ophthalmology resident-led quality improvement (QI) initiative to decrease the incidence of perioperative corneal injury at an academic medical center Design Retrospective chart review. Methods A retrospective chart review was conducted of all surgical cases performed 6 months prior to, and 6 months after, implementation of an ophthalmology resident-led QI initiative at an academic medical center. The QI initiative (which focused on perioperative corneal injury awareness, understanding of risk factors, and presentation of an algorithm designed to prevent perioperative corneal injury) consisted of a lecture and distribution of educational materials to anesthesia providers. Data collected through the chart review included type of surgical case, presence of diabetes mellitus or thyroid disease, patient age and gender, patient positioning (supine, prone, or lateral), level of anesthesia provider training, length of surgical case, surgical service, type of anesthesia, and type (if any) of perioperative eye injury. The rates of perioperative corneal injury pre- versus post-initiative were compared. Results The rates of perioperative corneal injury pre- and post-initiative were 3.7 and 1.9 per 1,000, respectively (p = 0.012). Significant risk factors for perioperative corneal injury include longer duration of surgery (odds ratio [OR] 90–180 vs. < 90 minutes = 4.18, 95% confidence interval [CI] 1.43–12.18; OR > 180 vs. < 90 minutes = 8.56, 95% CI 3.01–24.32; OR > 180 vs. 90–180 = 2.05, 95% CI 1.17–3.58), patient position lateral > prone > supine (OR prone vs. lateral = 0.25, 95% CI 0.09–0.67; OR supine vs. lateral = 0.13, 95% CI 0.07–0.23), nonhead and neck surgeries (OR = 0.32, 95% CI 0.11–0.87), and surgery performed under the general surgery service (OR general surgery service vs. other subspecialty services = 6.50, 95% CI 2.39–24.76). Conclusions An ophthalmology resident-led QI initiative consisting of educating anesthesia providers was associated with a significant decrease in the rate of perioperative corneal injury.

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