scholarly journals Building a Personalized Medicine Infrastructure for Gynecological Oncology Patients in a High-Volume Hospital

2021 ◽  
Vol 12 (1) ◽  
pp. 3
Author(s):  
Nicolò Bizzarri ◽  
Camilla Nero ◽  
Francesca Sillano ◽  
Francesca Ciccarone ◽  
Marika D’Oria ◽  
...  
Keyword(s):  
Unmet Needs ◽  
High Volume ◽  
Gynecological Cancers ◽  
Oncology Patients ◽  
Gynecological Oncology ◽  
Personalized Care ◽  
Oncological Outcomes ◽  
High Volume Hospital ◽  
Modern Technologies

Gynecological cancers require complex intervention since patients have specific needs to be addressed. Centralization to high-volume centers improves the oncological outcomes of patients with gynecological cancers. Research in gynecological oncology is increasing thanks to modern technologies, from the comprehensive molecular characterization of tumors and individual pathophenotypes. Ongoing studies are focusing on personalizing therapies by integrating information across genomics, proteomics, and metabolomics with the genetic makeup and immune system of the patient. Hence, several challenges must be faced to provide holistic benefit to the patient. Personalized approaches should also recognize the unmet needs of each patient to successfully deliver the promise of personalized care, in a multidisciplinary effort. This may provide the greatest opportunity to improve patients’ outcomes. Starting from a narrative review on gynecological oncology patients’ needs, this article focuses on the experience of building a research and care infrastructure for personalized patient management.

Characterization of common bile duct injury after laparoscopic cholecystectomy in a high-volume hospital system

2017 ◽  
Vol 32 (3) ◽  
pp. 1184-1191 ◽  
Author(s):  
Julia F. Kohn ◽  
Alexander Trenk ◽  
Kristine Kuchta ◽  
Brittany Lapin ◽  
Woody Denham ◽  
...  
Keyword(s):  
Laparoscopic Cholecystectomy ◽  
Bile Duct ◽  
Common Bile Duct ◽  
Bile Duct Injury ◽  
High Volume ◽  
Common Bile Duct Injury ◽  
Hospital System ◽  
High Volume Hospital

Learning curve for hysterectomy in a high-volume-hospital after implementation of endoscopic procedure

2014 ◽  
Vol 74 (S 01) ◽  
Author(s):  
R Mavrova ◽  
JC Radosa ◽  
D Bardens ◽  
K Neis ◽  
S Wagenpfeil ◽  
...  
Keyword(s):  
Learning Curve ◽  
High Volume ◽  
Endoscopic Procedure ◽  
High Volume Hospital

scholarly journals Delivering Personalized Care at a Distance: How Telemedicine Can Foster Getting to Know the Patient as a Person

2021 ◽  
Vol 11 (2) ◽  
pp. 137
Author(s):  
Janet Record ◽  
Roy Ziegelstein ◽  
Colleen Christmas ◽  
Cynthia Rand ◽  
Laura Hanyok
Keyword(s):  
New Technologies ◽  
Office Visit ◽  
Modern Technology ◽  
Office Visits ◽  
Patient Centeredness ◽  
Patient Centered ◽  
Personalized Care ◽  
High Satisfaction

The promise of precision medicine is based on the use of new technologies to better characterize patients by defining individuals in the areas of genomics, proteomics, metabolomics and other aspects of biologic variability. Wise application of modern technology can similarly transform health visits with patients, allowing for better characterization of the patient’s individual life circumstances than possible in a traditional office visit. The use of, and experience with, telemedicine have increased significantly during the COVID-19 pandemic. Patients and clinicians report high satisfaction with telemedicine, and the quality of communication and patient-centeredness experienced in this setting are both rated highly. In this article, we explore the benefits offered by telemedicine in facilitating personalized care with particular focus on telemedicine delivered by video platforms. We propose strategies and skills specific to the effective implementation of personalized telemedicine, drawing on literature in patient-centered communication and home visits. While traditional in-person office visits continue to offer important opportunities such as thorough physical examination and the potential for enhanced non-verbal communication, telemedicine offers many important advantages that can facilitate the process of getting to know the patient as a person.

What Constitutes a “High-Volume” Hospital for Pancreatic Resection?

2008 ◽  
Vol 206 (4) ◽  
pp. 622.e1-622.e9 ◽  
Author(s):  
Robert A. Meguid ◽  
Nita Ahuja ◽  
David C. Chang
Keyword(s):  
Pancreatic Resection ◽  
High Volume ◽  
High Volume Hospital

Primary Uterine Cancer in Maryland: Impact of Distance on Access to Surgical Care at High-Volume Hospitals

2013 ◽  
Vol 23 (7) ◽  
pp. 1244-1251 ◽  
Author(s):  
Camille C. Gunderson ◽  
Ana I. Tergas ◽  
Aimee C. Fleury ◽  
Teresa P. Diaz-Montes ◽  
Robert L. Giuntoli
Keyword(s):  
Confidence Interval ◽  
Odds Ratio ◽  
Uterine Cancer ◽  
Multivariable Analysis ◽  
Community Setting ◽  
Surgical Care ◽  
High Volume ◽  
High Volume Hospital ◽  
To Receive ◽  
Zip Code

ObjectiveTo evaluate the influence of distance on access to high-volume surgical treatment for patients with uterine cancer in Maryland.MethodsThe Maryland Health Services Cost Review Commission database was retrospectively searched to identify primary uterine cancer surgical cases from 1994 to 2010. Race, type of insurance, year of surgery, community setting, and both surgeon and hospital volume were collected. Geographical coordinates of hospital and patient’s zip code were used to calculate primary independent outcomes of distance traveled and distance from nearest high-volume hospital (HVH). Logistic regression was used to calculate odds ratios and confidence intervals.ResultsFrom 1994 to 2010, 8529 women underwent primary surgical management of uterine cancer in Maryland. Multivariable analysis demonstrated white race, rural residence, surgery by a high-volume surgeon and surgery from 2003 to 2010 to be associated with both travel 50 miles or more to the treating hospital and residence 50 miles or more from the nearest HVH (allP< 0.05). Patients who travel 50 miles or more to the treating hospital are more likely to have surgery at a HVH (odds ratio, 6.03; 95% confidence interval, 4.67–7.79) In contrast, patients, who reside ≥50 miles from a HVH, are less likely to have their surgery at an HVH. (odds ratio, 0.37; 95% confidence interval, 0.32–0.42).ConclusionIn Maryland, 50 miles or more from residence to the nearest HVH is a barrier to high-volume care. However, patients who travel 50 miles or more seem to do so to receive care by a high-volume surgeon at an HVH. In Maryland, Nonwhites are more likely to live closer to an HVH and more likely to use these services.

340 Trends and Disparities in Cervical Spine Fusion Procedure Utilization in the New York State

Neurosurgery ◽  
2017 ◽  
Vol 64 (CN_suppl_1) ◽  
pp. 276-276
Author(s):  
Rui Feng ◽  
Mark Finkelstein ◽  
Eric Karl Oermann ◽  
Michael Palese ◽  
John M Caridi
Keyword(s):  
New York ◽  
African American ◽  
Cervical Spine ◽  
New York State ◽  
High Volume ◽  
Spine Fusion ◽  
York State ◽  
High Volume Hospital ◽  
Low Volume ◽  
Cervical Spine Fusion

Abstract INTRODUCTION There has been a steady increase in spinal fusion procedures performed each year in the US, especially cervical and lumbar fusion. Our study aims to analyze the rate of increase at low-, medium-, and high-volume hospitals, and socioeconomic characteristics of the patient populations at these three volume categories. METHODS We searched the New York State, Statewide Planning and Research Cooperative System (SPARCS) database from 2005 to 2014 for the ICD-9-CM Procedure Codes 81.01 (Fusion, atlas-axis), 81.02 (Fusion, anterior column, other cervical, anterior technique), and 81.03 (Fusion, posterior column, other cervical, posterior technique). Patients' primary diagnosis (ICD-9-CM), age, race/ethnicity, primary payment method, severity of illness, length of stay, hospital of operation were included. We categorized all 122 hospitals high-, medium-, and low-volume. We then described the trends in annual number of cervical spine fusion surgeries in each of the three hospital volume groups using descriptive statistics. RESULTS >African American patients were significantly greater portion of patients receiving care at low-volume hospitals, 15.1% versus 11.6% at high-volume hospital. Medicaid and self-pay patients were also overrepresented at low-volume centers, 6.7% and 3.9% versus 2.6% and 1.7% respectively at high-volume centers. In addition, Compared with Caucasian patients, African American patients had higher rates of post-operative infection (P = 0.0020) and post-operative bleeding (P = 0.0044). Compared with privately insured patients, Medicaid patients had a higher rate of post-operative bleeding (P = 0.0266) and in-hospital mortality (P = 0.0031). CONCLUSION Our results showed significant differences in racial distribution and primary payments methods between the low- and high-volume categories, and suggests that accessibility to care at high-volume centers remains problematic for these disadvantaged populations.

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