scholarly journals Meaningful use: an electronic medical record tool for cerebrospinal fluid shunt history

2017 ◽  
Vol 19 (4) ◽  
pp. 391-398 ◽  
Author(s):  
Lance S. Governale ◽  
Jeffrey M. Hoffman

The care of patients with shunted hydrocephalus can be complicated. The best assessment is provided when all data are available to the neurosurgery practitioner. However, data can be time-consuming to gather, especially in the setting of a busy practice, a trainee environment with duty-hour restrictions, and an electronic medical record (EMR) not specifically designed for the needs of subspecialists. For these reasons, the complete clinical picture, especially the historical component, is sometimes not assembled. To address these shortcomings, the authors created a patient-level electronic CSF shunt history tool that leverages the power of the EMR concordant with the United States Centers for Medicare and Medicaid Services meaningful use principles. It is immediately available within the EMR for all users in all patient care contexts (e.g., outpatient, inpatient, perioperative, emergency, and remote access), centrally located, and designed to capture the vast range of circumstances inherent to the hydrocephalus population. Essential shunt data can be rapidly acquired and, as such, may decrease the likelihood of error in diagnosis and/or treatment. The tool also has the potential to aid the practicing neurosurgeon from clinical, quality improvement, and research standpoints. The authors have endeavored to describe this tool in a manner that would allow an interested neurosurgeon to share this publication with health information technology professionals to facilitate the development of a similar tool within their institution's own EMR platform.

2019 ◽  
Author(s):  
Caleb Wheeless ◽  
Scott W Yates ◽  
M Keith Schrader

Abstract Background : Annually, 2 million osteoporosis-related fractures result in 400,000 deaths and cost $12-17 billion in the United States. We examined the rate of bone density screening in our concierge medicine practice and compared this with previously published data for other patient populations. Methods : Using our electronic medical record system, we conducted a retrospective review of all patients followed in our group practice to determine the proportion of eligible patients who have been screened for osteoporosis. We present these results along with data for comparator populations. Results : In our population of 112 women age 50 or greater, 106 (94.6%) had been screened and of 63 women age 65 or greater, 61 (96.8%) had been screened. Our screening rate in Medicare age women (96.8%) compares favorably with previously published screening rates for Medicare HMO, Medicare PPO and MDVIP patients (74.2, 78.5 and 90.3% respectively). Conclusions : These data support our notion that limiting patient population size and effectively using a comprehensive electronic medical record in a systematic approach to prevention results in higher rates of osteoporosis screening.


2013 ◽  
Vol 3 (2) ◽  
pp. 1-8
Author(s):  
Donald W. Kemper ◽  
Molly Mettler

Information Therapy (Ix), getting the right information to the right person at the right time in order to help the person make an informed health decision, is a field that is constantly evolving. Over the past decade, several changes –particularly technological and policy-based developments -- have helped to advance the model. This paper traces the evolution of Information Therapy from a good idea to one that has been widely adopted by clinicians. This paper emphasizes the use of the electronic medical record (EMR) in delivering information therapy prescriptions directly to patients. Patient Response (Px) is proposed as the next phase in the evolution of Information Therapy and patient-centered care.


2019 ◽  
Vol 112 (5) ◽  
pp. 498-506 ◽  
Author(s):  
K Robin Yabroff ◽  
Jingxuan Zhao ◽  
Janet S de Moor ◽  
Helmneh M Sineshaw ◽  
Andrew N Freedman ◽  
...  

Abstract Background Use of genomic testing is increasing in the United States. Testing can be expensive, and not all tests and related treatments are covered by health insurance. Little is known about how often oncologists discuss costs of testing and treatment or about the factors associated with those discussions. Methods We identified 1220 oncologists who reported discussing genomic testing with their cancer patients from the 2017 National Survey of Precision Medicine in Cancer Treatment. Multivariable polytomous logistic regression analyses were used to assess associations between oncologist and practice characteristics and the frequency of cost discussions. All statistical tests were two-sided. Results Among oncologists who discussed genomic testing with patients, 50.0% reported often discussing the likely costs of testing and related treatments, 26.3% reported sometimes discussing costs, and 23.7% reported never or rarely discussing costs. In adjusted analyses, oncologists with training in genomic testing or working in practices with electronic medical record alerts for genomic tests were more likely to have cost discussions sometimes (odds ratio [OR] = 2.09, 95% confidence interval [CI] = 1.19 to 3.69) or often (OR = 2.22, 95% CI = 1.30 to 3.79), respectively, compared to rarely or never. Other factors statistically significantly associated with more frequent cost discussions included treating solid tumors (rather than only hematological cancers), using next-generation sequencing gene panel tests, having higher patient volume, and working in practices with higher percentages of patients insured by Medicaid, or self-paid or uninsured. Conclusions Interventions targeting modifiable oncologist and practice factors, such as training in genomic testing and use of electronic medical record alerts, may help improve cost discussions about genomic testing and related treatments.


2015 ◽  
Vol 97 (23) ◽  
pp. 1979-1984 ◽  
Author(s):  
James S Shaha ◽  
Mouhanad M El-Othmani ◽  
Jamal K Saleh ◽  
Kevin J Bozic ◽  
James Wright ◽  
...  

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3008-3008
Author(s):  
Sudip Bhandari ◽  
Charles Lagor ◽  
Judith Mueller ◽  
Warren Whyte ◽  
Samuel Heilbroner

Abstract Background: Black patients are underrepresented in multiple myeloma (MM) clinical trials. Despite the promise of Real-World Data (RWD), little research exists on RWD's usage to address this health disparity. In collaboration with a large pharmaceutical partner, we used RWD from commercial datasets (ConcertAI's Electronic Medical Record and claims datasets) aimed at identifying sites with a large Black patient population. We recommended including these sites in a recent clinical trial of Chimeric Antigen Receptor T cell (CAR-T) therapy for MM patients. Methods: We used the following criteria to identify promising sites: (1) high Black patient density, (2) access to a CAR-T accredited parent organization within 100 miles, (3) a hematologist/oncologist who treats MM patients, and (4) a history of treating MM patients with a Proteasome Inhibitor (PI) and Lenalidomide (Len) in the first line of therapy. For (1), sites were ranked using the lower 95% confidence interval for the percent of Black MM patients at the site. For (4), only sites with at least five MM patients who received PI and Len were included. Our data sources were: ConcertAI's Electronic Medical Record (EMR) and claims datasets to link each patient to a site, and Google maps API to identify the CAR-T center nearest each oncology site. The patients in our data sets were not identifiable, and our research was conducted in compliance with the Health Insurance Portability and Accountability Act. After having identified and filtered promising sites, we curated individual candidates in the order of Black patient density. The purpose of curation was to validate a final list of sites. Results: We identified 17 promising clinical trial sites affiliated with 16 healthcare systems in the mid-west, mid-Atlantic, southeastern, and southwestern regions of the United States (table 1). Our RWD captured an average of 141 MM patients (range: 6-791) who were treated at the 17 sites from 2015-2020. Thirty-nine percent of the patients were Black (range: 13-67%). This percentage was three times the recruitment rate of black patients in MM trials in the US (13%). On average, the sites were 44 miles driving distance (range: 0.8-96 miles) from the closest CAR-T center, had eight hematology/medical oncology specialists on staff (range: 1-17), and had previous interventional trial experience (13 sites had experience with MM trials). All of the identified sites were community-based sites, and none of the sites were previously identified by our pharmaceutical partner. Conclusions: We demonstrated that RWD can be leveraged to identify clinical trial sites with a high potential for Black patient recruitment, thereby addressing a known health disparity problem within multiple myeloma (MM) clinical trials. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3430-3430
Author(s):  
Nima Ghalehsari ◽  
Pragnan Kancharla ◽  
Neil S Nimkar ◽  
Anita Mazloom ◽  
Farah Ashraf ◽  
...  

Background Multiple myeloma (MM) is the abnormal proliferation of plasma cells in the bone marrow often resulting in debilitating symptoms ranging from ostealgia to pathological fractures from bone destruction. According to American Cancer Society, MM accounts for 1-2% of cancers and approximately 17% of hematological malignancies in the United States each year (1). Fifty percent of patients with symptomatic MM have three or more primary care visits before they are referred to a specialist, which is greater than any other cancer (5). It has been shown that a delay in diagnosing multiple myeloma negatively impacts the clinical course of the disease and hence the outcome in patients (2). Patients with longer diagnostic intervals also experience shorter disease free survival and more complications from treatment (4). Herein, a retrospective analysis was performed to determine the average delay in diagnosis of MM. Methods This is a retrospective electronic chart review of all indexed newly diagnosed MM cases between 1/1/2014 through 12/31/2018 at New York-Presbyterian Brooklyn Methodist Hospital (NYP BHM). NYP BMH is a Weill Cornell Medical College-affiliated hospital in Brooklyn, NY whose patient population includes those with private insurance, uninsured and Medicare/Medicaid. Data abstraction from the electronic medical record (EMR) was uniform and involved baseline characteristics such as age, gender and race. International Classification of Diseases (ICD)-10-CM code (C90.00) was used for extraction of data which identified 492 patients. After excluding patients with MGUS or a prior diagnosis of multiple myeloma, 104 patients were included in the final study. We calculated the number of days between the date of first abnormal laboratory value seen on bloodwork for a myeloma related sign (at least 90 days prior to diagnosis) to the date of bone marrow biopsy that confirmed the diagnosis. The inclusion criteria were anemia defined as hemoglobin <12gm/dl, Hypercalcemia defined by corrected calcium >10, kidney dysfunction with a creatinine >1.5 and total protein >8. Results Of the 104 patients with newly diagnosed MM, 69 patients were diagnosed within 90 days of the first abnormal lab value recorded in our electronic medical record (EMR). Thirty-five patients (34%) had a delay in diagnosis at least 90 days with a mean delay of 38 months. Isolated anemia was the most common abnormal lab finding with 29/104 (28%) having documented anemia at least 90 days prior to diagnosis of myeloma. The mean delay in diagnosis for patients with anemia was 41 months. There were four patients with anemia and elevated creatinine with an average delay of 23 months. Five patients had anemia and elevated calcium with an average delay of 21 months. Nine patients had anemia and elevated total protein with an average delay of 38 months. Conclusion: In the current era where we have effective therapies for MM it is now more important than ever to avoid a delay in diagnosis. We demonstrate that 34% of patients receiving care at an Urban Teaching Hospital had at least a 90 day delay in their diagnosis of MM. Our cohort consisted of 64% African Americans, suggesting that minorities are more commonly affected by this. There is a need for more awareness amongst clinicians to consider the diagnosis of MM in the workup of anemia. References: 1. Kariyawasan, C. C., D. A. Hughes, M. M. Jayatillake, and A. B. Mehta. 2007. "Multiple Myeloma: Causes and Consequences of Delay in Diagnosis." QJM: Monthly Journal of the Association of Physicians 100 (10): 635-40. 2. Siegel, Rebecca L., Kimberly D. Miller, and Ahmedin Jemal. 2019. "Cancer Statistics, 2019." CA: A Cancer Journal for Clinicians. https://doi.org/10.3322/caac.21551. 3. Vélez R, Turesson I, Landgren O, Kristinsson SY, Cuzick J. Incidence of multiple myeloma in Great Britain, Sweden, and Malmö, Sweden: the impact of differences in case ascertainment on observed incidence trends. BMJ Open. 2016;6:e009584. 4. Kariyawasan CC, Hughes DA, Jayatillake MM, et al. Multiple myeloma: causes and consequences of delay in diagnosis. QJM 2007;100:635-40. 10.1093/qjmed/hcm077 5. Lyratzopoulos G, Neal RD, Barbiere JM, et al. Variation in number of general practitioner consultations before hospital referral for cancer: findings from the 2010 National Cancer Patient Experience Survey in England. Lancet Oncol 2012;13:353-65. 10.1016/S1470-2045(12)70041-4 Disclosures No relevant conflicts of interest to declare.


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