flatiron abstraction test

Describe the types of information commonly contained in most medical records. Part-Time Oncology Abstractor (Current Employee) - Remote - December 9, 2022. Glassdoor has millions of jobs plus salary information, company reviews, and interview questions from people on the inside making it easy to find a job thats right for you. #2023builtinbest #flatironhealth #lifeatflatiron", 100 Best Places to Work in 2023 | Built In. But don't stress. Velcheti V, Chandwani S, Chen X, Pietanza MC, Burke T. Aggarwal, H, Sheffield, KM, Li, L, Lenis, D, Sorg, RA, Miksad, RA, Parikh RB, Galsky MD, Baxi SS, Adamson B, Cohen AB, Feld E, Christodouleas JP, Boursi SB, Meropol NJ, Mamtani R, Parikh RB, Galsky MD, Gyawali B, Riaz F, Kaufmann TL, Cohen AB, Adamson B, Gross CP, Meropol NJ, Mamtani R, Santiago-Walker AE, Chen F, Loriot Y, Siefker-Radtke AO, Sun L, Sundaram E, De Porre P, Patel K, Wan Y, Higano CS, Sternberg CN, Saad F, Tombal BF, Miller K, Kalinovsky J, Jiao X, TangiralanK, Sartor AO, Mhatre SK, Chuo CY, Morgans AK, Rahma OE, Pachynski RK, Martinalbo J, Davarpanah NN, Davies J, George DJ, Sternberg CN, Sartor AO, Saad F, Tombal BF, Miller K, Kalinovsky J, Jiao X, Tangirala K, Higano CS, Moser J, Solomon B, Nevala-Plagemann CD, Gilcrease GW, Whisenant JR, Garrido-Laguna I, Chau I, Ayers D, Goring S, Keeping S, Goulding R, Cope S, Chamot E, Le H, Xu Y, Abraham P, Korytowsky B, Fish SM, Flick DE, Swern AS, Jiang R, Jirau-Lucca G, Ondovik MS, Louis CU, V Velcheti, S Chandwani, X Chen M, C Pietanza, T Burke, Agrawal, M, Adams, G, Nussbaum, NC, Birnbaum, B, Saverno KR, Carter GC, Li L, Battiato LA, Huang Y-J, Smyth EN, Price GL, Sheffield KM, Baxi SS, Kuk D, Seidman AD, Luhn P, O'Hear C, Ton TG, Hsieh A, Yi J, Chang C-W, Funke R, Kurian A, Dalvi T, McLaurin K, Briceno J, Nordstrom B, Bennett J, Hettle R, Murphy B, Collins J, McCutcheon S, Luhn P, O'Hear C, Ton TG, Sanglier T, Hsieh A, Oliveri D, Chuo J, Xiao Y, Emens L, Rugo H, Dieras V, Cortes J, Patt D, Wildiers H, O'Shaughnessy J, Zamora E, Yardley DY, Carter GC, Sheffield KM, Li L, Andre VA, Derbyshire RE, Li XI, Frenzel M, Huang Y-J, Dickler MN, Tolaney SM, Maignan K, Backenroth D, McQuarrie NA, Lipitz NG, Williams E, Carson K, Hong JL, Crossland V, Galaznik A, Dolin P, Cetin K, McGrath L, Overman R, Reams D, Sharma A, Brookhart MA, Altomare I, Wasser JS, Li B, Ren K, Shen L, Hou P, Sun Z, Di Bacco A, Hong JL, Galaznik A, Dash AB, Crossland V, Dolin P, Szalma S, Chari A, Ung B, Tian M, Agarwal A, Parikh K, Cope S, Popoff E, Keeping S, Goldgrub R, Jansen JP, Penrod J, Abraham P, Camidge DR, Korytowsky B, Gu T, Schoenherr N, Juarez-Garcia A, Le T, Yuan Y, Coman, C, Moser, JC, Hyngstrom, JR, Grossman, KF, Patel, SB, Colonna, SV, Andtbacka, R, Sadetsky N, Chuo J, McKenna E, Troutman S, Colburn D, Atkins MB, Gu T, Le T, Moshyk A, Gooden K, Kotapati S, Freeman M, Gupte-Singh K, You M, Le TK, Ritchings C, Rao S, Jang S, Ahn D, Barzi A, Miksad RA, Surinach A, Corvino F, Valderrama A, Mamlouk KK, Pulgar SJ, Bekaii-Saab TS, Patel, SB, Akerley, WL, Ose, D, Haydell, T, Martineau, J, Dunson, Jr, WA, Chalmers, AW, Cannon, L, Meropol, NJ, Halland, B, Weycker, D, Hanau, A, Lonshteyn, A, Kim, C, Gawade, PL, Bowers, C, Adelson, KB, Meropol, NJ, Hamrick, HJ, Haydell, T, Martineau, J, Kraut, J, Severino, KM, Lilenbaum, R, McPherson, JP, Patel, SB, Igumnova, E, Pettit, J, Ose, D, Haydell, T, Martineau, J, Meropol, NJ, Beck, AC, Mian I, Nichols S, Abernethy AP, Carson K, Maignan K, Torres AZ, Snider J, Frampton G, Li G, Sharon E, Szabo E, Thomas A, Clarke JM, Stefaniak VJ, Batus M, Winfree KB, Molife C, Cui Z, Han Y, Tawney MK, Bonomi PD, Chalmers AW, Haaland B, Patel SB, Moynahan K, Cannon L, Akerley W, Batus M, Molife C, Clarke JM, Stefaniak VJ, Winfree KB, Cui Z, Han Y, Tawney MK, Bonomi PD, Schwartzberg L, Korytowsky B, Penrod J, Yuan Y, Gu T, Le TK, Abraham P, Selvaggi G, Barlesi F, Paz-Ares L, Page D, Shewade A, Lambert P, Mughal T, Gay L, Khorshid M, Arnieri B, Capra W, Foser S, Mascaux C, Bubendorf L, Wang L, Chiang A, Fernandes A, Pavilack M, Wu J, Lalibert F, Duh MS, Chehab N, Subramanian J, Randall, LM, Aydin, E, Louie-Gao, M, Hazard, S, Westin, SN, Carrigan G, Whipple S, Taylor M, Torres AZ, Gossai A, Arnieri B, Tucker M, Hofmeister PP, Lambert P, Griffith S, Capra W, Carrigan G, Whipple S, Capra W, Taylor M, Lu M, Arnieri B, Brown JS, Abernethy AP, Copping R, Rothman KJ, Black J, Castro F, Lundberg L, Marino M, Niks R, Rozinat A, Black J, Ogbu U, Wassner Fritsch E, Byon J, Yi J, Lu M, Curtis MD, Griffith S, Tucker M, Taylor M, Capra W, Carrigan G, Holzman B, Torres AZ, You P, Arnieri B, Abernethy AP, Patel, SB, Akerley, WL, Ose, D, Haydell, T, Martineau, J, Dunson, Jr., WA, Chalmers, AW, Cannon, L, Meropol, NJ, Halland, B, Steuten LM, Goulart B, Meropol N, Pritchard D, Ramsey SD, Bennette CS, Torres AZ, Tucker M, Khozin S, Abernethy AP, Brown NR, Meropol N, Crane G, Trunzer K, Whipple S, Cuenco K, Tolson J, Kathuria B, Das-Gupta A, Shewade A, Fu-Chi Hsieh A, Mani A, Al-Sakaff N, Sanglier T, Taylor M, Heinzmann D, Lu M, Sadetsky N, Lambert P, Whipple S, Taylor M, Riehl T, Riely GJ, Patel SB, Haaland B, Ose D, Haydell T, Martineau J, Dunson W, Chalmers AW, Cannon L, Kissell B, Meropol N, Akerley W, Spillane S, Abernethy AP, Brown NR, Freedman AN, Lenis D, Maignan K, Mariotto A, Miksad RA, Torres AZ, Sharon E, Zhi J, Khozin S, Kuk D, Torres AZ, Sorg R, Lee S, Miksad RA, Pazdur R, Abernethy AP, Adelson K, Meropol N, Hamrick HJ, Haydell T, Martineau J, Kraut J, Severino KM, Lilenbaum R, Bagley S, Mitra N, Meropol N, Holzman B, Cohen R, Langer C, Vachani A, Curtis MD, Nussbaum N, Hamrick HJ, Bennette CS, Meropol N, Miksad RA, Liede A, Hernandez RK, Wade S, Bo R, Ahern E, Dougall WC, Smyth MJ, Fonseca R, Parikh K, Ung B, Ni Q, Agarwal A, Barzi A, Hess L, Zhu Y, Liepa A, Fang Y, Kuder C, Beyrer J, Chao J, Le DT, Janjigian YY, Ott PA, Korytowsky B, Le H, Le TK, Zhang Y, Maglinte G, Patel D, Shangguan T, Chau I, Villalobos VM, Hess L, Zhu Y, Sugihara T, Lee P, Wacheck V, Melemed SA, Wagner AJ, Barzi A, Miksad RA, Surinach A, Corvino F, Wang S, Torres AZ, Mamlouk KK, Pulgar SJ, Bekaii-Saab TS, Bourla A, Sweeney E, Parrinello CM, Abernethy AP, Griffith S, Clarke JM, Molife C, Miksad RA, Batus M, Winfree KB, Gossai A, Stefaniak VJ, Foster R, Cui Z, Torres AZ, Feuchtbaum D, Tawney MK, Bonomi PD, Agarwala V, Backenroth D, Singal G, O'Connell C, Li G, Alpha-Cobb G, Kaushik G, Carson K, Miller V, Abernethy AP, O'Connell C, Backenroth D, Singal G, Agarwala V, Li G, Kaushik G, Alpha-Cobb G, Kao CK, Miller V, Abernethy AP, Carson K, Batus M, Molife C, Miksad RA, Clarke JM, Stefaniak VJ, Foster R, Winfree KB, Gossai A, Cui Z, Torres AZ, Feuchtbaum D, Tawney MK, Bonomi PD, Parrinello CM, Seidl-Rathkopf K, Bennette CS, Bourla A, Nussbaum N, Carson K, Abernethy AP, Connolly D, Maignan K, Donegan J, Fessele K, Singal G, Agarwal A, Kaushik G, O'Connell C, Alpha-Cobb G, Caron T, Bourque D, Guria A, Frank S, Frampton G, Carson K, Abernethy AP, Miller V, Agarwala V, Gossai A, Singal G, O'Connell C, Li G, Kao K, Bourque D, Feuchtbaum D, Nunnally A, Frampton G, Ali S, Abernethy AP, Kramarz S, Trabucco SE, Florea, A, Garawin, T, Sangar, L, Kelsh, MA, Lowe, K, Janjigian YY, Le DT, Ott PA, Korytowsky B, Le H, Le TK, Zhang Y, Sanchez T, Maglinte G, Laurie M, Patel D, Shangguan T, Chau I, Chari A, Ung A, Abouzaid S, Ni Q, Parikh K, Agarwal A, Fonseca R, Parikh K, Ung B, Ni Q, Abouzaid S, Agarwal A, Kapustyan T, Keim H, Meissner B, Nielsen J, Zhang L, Jiang D, McGrath L, Hernandez RK, Overman R, Reams D, Liede A, Brookhart A, Bhatta S, Cyprien L, Fonseca R, Hernandez RK, Kim C, Xu W, Mardekian J, Wang Y, Harnett J, Bell TJ, McRoy L, Burstein H, Mayer E, DeMichele A, Harnett J, Mardekian J, McRoy L, Huang Bartlett C, Koehler M, Fahed Rimawi M, Bartlett CH, Mardekian J, Cotter M, Huang X, Zhang Z, Parrinello CM, Abernethy AP, Koehler M, Wang L, Page D, Shewade A, Lambert P, Arnieri B, Capra W, Khorshid M, Mughal T, Gay L, Foser S, Gubens M, Wong W, Wu N, Chu L, Schulze K, Illei P, Illei P, Wong W, Wu N, Chu L, Schulze K, Gubens M, Li Y, Appius A, Pattipaka T, Feyereislova A, Cassidy A, Ganti A, Chu L, Corvino F, Yi J, Zikovic M, Wong W, Ross J, Goldberg M, Albacker L, Gay L, Agarwala V, Elvin J, Vergillo J, Ramkissoon S, Severson E, Daniel S, Ali S, Schrock A, Frampton G, Fabrizio D, Miller V, Singal G, Abernethy AP, Stephens P, Singal G, Miller P, Agarwala V, Li G, Gossai A, Albacker L, Goldberg M, He J, Frank S, Bourque D, Ivanov V, Fabrizio D, Caron T, Parker A, Guria A, Miller V, Elvin J, Ross J, Abernethy AP, Stephens P, Elizabeth D, Li J, Jirau-licca G, Ondovik M, Nifenecker M, Fish S, Liu H, Huang J, Swern A, Louis C, Flick, ED, Li, JS, Jirau-Lucca, G, Ondovik, MS, Nifenecker, M, Fish, S, Liu, H, Huang, JH, Swern, A, Louis, CU, Barzi, A, Hess, LM, Zhu, YE, Liepa, AM, Fang, Y, Kuder, C, Beyrer, J, Chao, J, OConnor J, Seidl-Rathkopf K, You P, Nussbaum N, Torres AZ, Fessele K, Darius K, Adelson K, Yin E, Presley C, Chiang A, Ross J, Abernethy AP, Gross C, Presley C, Chiang A, Longtine J, Soulos P, Adelson K, Herbst R, Nussbaum N, Sorg R, Abernethy AP, Singal G, Miller P, Agarwala V, He J, Gossai A, Frank S, Bourque D, Bowser B, Caron T, Baydur E, Seidl-Rathkopf K, Ivanov I, Parker A, Guria A, Frampton G, Jaskiw A, Feuchtbaum D, Nussbaum N, Abernethy AP, Miller V, Qiu Y, Li Z, Tang J, Atanasov P, Mahmood S, Grzegorzewski K, Chen L, Chen J, Wang L, Shewade A, Lambert P, Arnieri B, Capra W, Khroshid M, Mughal T, Gay L, Page D, Foser S, Tang B, Gabriel S, Pathak A, Brander D, Zhou J, Burke J, Bibeau K, Kahl B, Carson K, Zelentz A, Brander D, Maddocks K, Gerecitano J, Pathak A, Cheson B, Fargnoli B, Jaffe N, Bauer-Levey N, Cowing K, Schneider J, Parulkar R, Lee D, Harary O, Holleran R, Zhang S, Revol C, Tran D, Shah R, Abernethy AP, Kolodziej M, Hamrick HJ, Revol C, Parulkar R, Lemmers O, Gippetti J, Bauer-Levey N, Lee D, Fugaro A, Kolodziej M, Green R, Abernethy AP, Khozin S, Abernethy AP, Nussbaum N, Zhi J, Curtis MD, Tucker M, Lee S, Light D, Blumenthal G, Pazdur R, Davies J, Martinec M, Martina R, Delmar P, Coudert M, Bordogna W, Golding S, Crane G, Agarwala V, Kraut J, Gippetti J, Revol C, Peterson D, Fessele K, Abernethy AP, Agarwala V, Birnbaum B, Gippetti J, Talcott L, Kraut J, Bowser B, Delgado J, Nightingale C, Lvov M, Nussbaum N, Connolly D, Martineau J, Darius K, Fessele K, McClure J, Fitzgerald L, Carlson R, Abernethy AP, Gabriel PE, Berman AT, Guttman D, Stetson R, Kruse G, Morrissette J, Agarwala V, Kraut J, Abernethy AP, Shulman LN, Evans T, Kraut J, Gippetti J, Peterson D, Agarwala V, Revol C, Fessele K, Abernethy AP, Ruggiero J, Rughani J, Neiman J, Swanson S, Revol C, Green R, Luhn P, Kuk D, Carrigan G, Nussbaum N, Sorg R, Rohrer R, Tucker M, Arnieri B, Taylor M, Abernethy AP, Lowe K, Hool K, Kafatos G, Kelsh M, Garawin T, Li Y, Pattipaka T, Chia Y, Walls R, Hooper G, Taylor M, Kim C, Hernandez RK, Cheng P, Smith J, Cyprien L, Liede A, Arnieri B, Bernaards C, Wilhelm K, Black J, Hirst C, Taylor M, Lambert P, Green K, Lu M, Humphrey K, Davies J, Martinec M, Coudert M, Delmar P, Becker U, Crane G, Finelli, A, Hernandez, RK, Lethen, J, Wade, SW, Warner, D, Abernethy, AP, Liede, A, Whitman E, Liu F, Cao X, Haiderali A, Abernethy AP, Butler A, Ceitin K, Hernandez RK, Overman R, Kim J, Reams D, Hirsch B, Abernethy AP, Liede A, Brookhart A, Presley, CJ, Harrington, E, Gippetti, J, Agarwala, V, Bowser, B, Adelson, KB, Herbst, RS, Abernethy, AP, Gross, CP, Liede A, Hernandez RK, Lethen J, Warner D, Abernethy AP, Calkins G, Kohansimeh J, Krishna A, Green R, Curtis MD, Lindberg F, Jaskiw A, Larrabee K, Terry M, Feinstein RN, Plotkin L, Palladino ML, Nicacio L, Abernethy AP, Fung C, Richardson P, Eisenberg D, Connolly D, Terry M, Feinstein RN, Tucker M, Miller C, Nicacio L, Liede, A, Hernandez, RK, Roth, M, Calkins, G, Larrabee, K, Nicacio, LV, Racial differences in impacts of high-risk chromosome abnormalities on multiple myeloma progression and survival in a nationwide electronic health record database, Racial disparities in telemedicine uptake during the COVID-19 pandemic among patients with hematologic malignancies in the United States, Impact of the COVID-19 pandemic on in-person visit rates among patients with hematologic malignancies in the United States, Generating Real-World External Comparators (rwECs) for Randomized Clinical Trials (RCTs) in Metastatic Breast Cancer (mBC) using Electronic Health Records (EHRs), Exploring the potential for EHR-derived real-world data to reduce uncertainty in HTA decision-making: a case study of long-term survival outcomes, Trends in End-of-Life (EOL) Systemic Oncologic Treatment in Contemporary Clinical Practice: Insights from Real-World Data, Trends in Diagnosis and Treatment of Early Breast Cancer (eBC) in the United States (US) During the COVID-19 Era, Implementation of an EHR-embedded decision support tool in community oncology practices, Characteristics and outcomes of patients (pts) with NTRK fusion-positive (NTRK+) metastatic / locally advanced (LA) solid tumours receiving non-TRK inhibitor (TRKi) standard of care (SoC), and prognostic value of NTRK fusions in clinical practice, Real-world outcomes of hormone receptor-positive (HR+) HER2-negative (HER2-) metastatic breast cancer (mBC) with high tumor mutational burden (hTMB) treated with immune checkpoint inhibitors (ICI), ACA Medicaid expansion association with racial disparity reductions in timely cancer treatment, Effect of first line pembrolizumab treatment in individuals with advanced non-small cell lung cancer and poor performance status, Comparing phase 3 go decisions (Ph3-GO) between single arm trials with real-world external control (SAT+rwEC) versus randomized phase 2 trials (rPh2), Evaluating real-world overall survival (rwOS) across oncology data sources: Friends of Cancer Research non-small cell lung cancer pilot study, Plasma circulating tumor DNA (ctDNA) fraction and real-world overall survival (rwOS) in metastatic castration resistant prostate cancer (mCRPC), An automated EHR-based tool to improve patient identification for biomarker-driven trials, Extracting non-small cell lung cancer (NSCLC) diagnosis and diagnosis dates from electronic health record (EHR) text using a deep learning algorithm, Clinical characteristics, treatment patterns, and overall survival of real-world patients with idiopathic multicentric Castleman disease, Time to treatment initiation for patients with advanced cancer documented during the COVID-19 pandemic, Racial disparities in second-line (2L) treatment patterns and overall survival among real-world patients (pts) with hormone receptor positive HER2 negative (HR+HER2-) metastatic breast cancer (mBC), ERBB2 copy number (CN) as a quantitative biomarker for real-world (RW) outcomes to anti-HER2 therapy in advanced gastroesophageal adenocarcinoma (adv GEA), Concordance of HER2+ status by IHC/ISH and ERBB2 status by NGS and analysis of real-world outcomes in patients (pts) with metastatic breast cancer (mBC) receiving first-line (1L) HER2 therapy, Analysis of real world data (RWD) for metastatic breast cancer (mBC) patients (pts) without germline BRCA (gBRCA) alterations treated with PARP inhibitors (PARPi), Association between improvements in survival of metastatic NSCLC patients and targeted- and immuno-therapy, Influence of first-line chemotherapy regimen on survival outcomes of patients with advanced urothelial carcinoma who receive second-line immunotherapy, Clinical trial representativeness and treatment intensity in a real-world sample of women with early stage breast cancer, Influence of first-line chemotherapy regimen on survival outcomes of patients with advanced urothelial carcinoma who received second-line immunotherapy, Role of cytoreductive nephrectomy in metastatic renal cell carcinoma, Molecular, immunologic, and clinicodemographic landscape of MYC-amplified (MYCamp) advanced prostate cancer (PCa), Natural language processing-based detection of transgender and gender non-conforming patients in electronic health record-derived data, Quantifying bias in Flatiron ML-extracted variables for inference in clinical oncology, Statistical methods for pantumor analysis: models to account for tumor-level heterogeneity, Enhanced cost-effectiveness analysis using EHR data for real-world value. Judge Learned Hand laid out his famous "abstraction test" to help find the line between a work's unprotectable ideas and its protectable expressions:. Interview. 557 Reviews. Nurses steer clear of this company. What is the Flatiron assessment like? Candido and her teams work mainly focuses on a mature product, OncoEMR, but they take innovative leaps when they make sense, as seen in the companys Flatiron Assist product. This cookie is set by GDPR Cookie Consent plugin. They ask about your resume as well as other situational and behavioral questions. 4 Courses. Identify frequently used forms, records, notes, and . For every PD-1/PD-L1 test a patient receives, Flatiron biomarker Data Model captures: Test status Test result Date biopsy collected . Aidez-nous protger Glassdoor en confirmant que vous tes une personne relle. enva un correo electrnico a Systematic reviews combine the results of many studies. $22.28 to $36.06 Hourly. Choose the word that is most nearly OPPOSITE to the word in capital letters: LENGTHEN. Ask questions, learn about the Cybersecurity classroom experience, and more. Terms in this set (47) Aaron Szekel Director of Business Operations. Feedback on performance and tips on how to improve are also provided regularly. Tedious work for very poor pay. Interview. One way we make sure that the program is a good fit is with an admissions assessment test. First interview is a phone call with a team member. While it may seem highly desirable to abstract the patient's medical record immediately upon discharge from the hospital, this is usually impractical. $31 to $35 Hourly. Interview Questions. Flatiron Abstract is a NY Title Insurance company. Disclaimer: The information in this blog is current as of 01 Dec 2022. Answered February 28, 2022 - Clinical Data Abstractor (Former Employee) - Atlanta, GA. You automatically get hired by passing without official interview. Behind JavaScript, HTML/CSS, and SQL, Python is the fourth most popular language with 44.1% of developers. Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features. I certainly never lose sight of the human behind the cell anymore. The cookie is used to store the user consent for the cookies in the category "Analytics". Learn more about Flatiron's mission, vision and story. I worked in oncology for two years and it still stumped me. Find out how we help institutions like yours drive better patient experience, healthier practices and smarter research. Medical Record Abstraction is a collaborative solution that relies on a combination of seasoned experts running abstraction and data collection tools to ensure the most accurate quality measuring and reporting. I interviewed at Flatiron Health (New York, NY) in Jan 2021. At Flatiron, it is one of our values - greatness and comfort rarely co-exist. Interview Flatiron Health's competitors and similar companies include Matrixcare, Post Acute Analytics, Personalis, Paige, Live Better With, Elekta, Syapse, Foundation Medicine and The Mednet. Dr Chhatwal reported receiving personal fees from Bayer, Flatiron, and Value Analytics Labs and holding stock in Apple and Alphabet outside the submitted work. I feel that I dodged a bullet by failing it. Sorry, this job was removed at 11:18 a.m. (CST) on Friday, December 9, 2022, Find out whos hiring remotely Nationwide, By clicking continue you agree to Built Ins. It has been rated as a five-star clinic by the Yelp community. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". Testing . Interview Questions. Learn more about our solutions for hospitals & health systems. The gap between OneOncology and the national databased was wider in mBC: Uptake of NGS shifted from 42% to 53% over the study period at OneOncology and 17% to 27% across the database. 2) Mainstream Restaurants (On-the-Premise Dining) For Mainstream Restaurants, as shown in Table 3, 6% are Quiet, 23% are Moderate, 71% are High with 40% being Loud and 31% Very Loud. Take a look at some of the features that set Medical Record Abstraction apart: Scalable staff. Copyright 2008-2023, Glassdoor, Inc. "Glassdoor" and logo are registered trademarks of Glassdoor, Inc. Answer (1 of 2): I'm a co-founder at Flatiron School and everyone who's attended has interviewed with myself and a Flatiron School instructor. flatiron abstraction test Budget for abstraction costs. Become a data scientist to help businesses leverage data, analyze data, and provide data-driven insights so businesses can make informed decisions. Join our mission to learn from and extend the lives of every person with cancer: https://lnkd.in/eVyANhVb My qualifications were reviewed. 2022 was a year of exciting growth and impact for #ClinicalResearch at Flatiron Health! The average salary after graduation is $76,000 for on-campus grads and $72,000 for online grads, and 93% of alumni find a job. Anyone have a connection to Flatiron Health? The dentists at this clinic are highly qualified, with advanced training in cosmetic dentistry and restorative dentistry. 2 Including 8% of patients with results pending or unsuccessful test 3 Including 6% of patients with results pending or unsuccessful test Completeness of technology-enabled abstraction Example: Advanced NSCLC Site of met Inter-abstractor agreement Kappa Bone 97% 0.93 Brain 96% 0.91 Liver . You are tested on two subject areas and let go if you don't pass at least one test. The user interface, data model and schema, knowledge base and training materials of the Flatiron Platform ("Flatiron Platform Materials") are . Remember, the test is a factor in your admission decision, but we will make our final decision based on the combination of your application, interview, and assessment test. ), we are more interested in understanding your ability to learn and pick up the skills that will be taught in our courses. How to Abstract Cancer Registry Information. Answer Question. (#520), Unmet medical need among elderly patients with previously untreated DLBCL characterized using real-world data (RWD) in the United States, Socioeconomic disparities in diagnostic testing among diffuse large B-Cell Lymphoma patients in the US, Role of Neutrophil Lymphocyte Ratio [NLR] as a biomarker of frailty and predictor of survival among older adults with Multiple Myeloma, Redefining the prognostic significance of t(11,14) multiple myeloma, Multiple myeloma in the very old: disease characteristics, treatment patterns and outcomes in the real world, Real-world use of maintenance therapy and associated outcomes following autologous stem cell transplant in US patients with newly diagnosed multiple myeloma, Identification and reporting of cell of origin, double-/triple-hit and double expressor lymphoma in a real-world cohort of diffuse large B-cell lymphoma patients, A clinical practice comparison of patients with CLL/SLL with and without del(17p) receiving first-line treatment with ibrutinib, Use of venetoclax and hypomethylating agents (HMA) in newly diagnosed acute myeloid leukemia (AML) in the United States real world (RW) response, treatment duration, dose and schedule modifications, Treatment patterns and outcomes of patients with newly diagnosed acute myeloid leukemia (AML) treated with hypomethylating agents (HMA) in the United States, Real world data (RWD) treatment (tx) patterns and sequencing of patients with multiple myeloma (MM), Treatment patterns and outcomes of multiple myeloma (MM) with chromosome translocation (11,14) in United States routine clinical practice, Real-world outcomes of patients with Diffuse Large B-Cell Lymphoma receiving second line therapy in the United States, Progression free survival of relapsed or refractory multiple myeloma (RRMM) after failure of three prior lines of therapy in United States real-world practice, Real-world IgG testing frequency and characteristics associated with hypogammaglobulinemia after anti-CD20 exposure in patients with chronic lymphocytic leukemia, Understanding the impact of assessment frequency on the study of adverse effects using oncology electronic health records, Deriving International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) risk categories using oncology electronic health records, Prospective validation of a clinical tool developed with machine learning to identify high-risk patients with cancer and reduce emergency department visits, Real-world outcomes among HER2+ metastatic breast cancer patients with brain metastases, Real-world data (RWD) survival analysis of first line (1L) metastatic colorectal cancer (mCRC) patients (pts) with BRAF V600 and non-V600, KRAS G12 and G13, and NRAS mutations, Analytic considerations for constructing real-world comparator cohorts, Patient characteristics, treatment patterns, and outcomes in patients with triple-class-refractory multiple myeloma, Generalizable machine learning framework for predictive modeling of patient outcomes using oncology electronic health records, Validation analysis of a composite real-world mortality endpoint for US cancer patients, Identification of genomic alterations related to treatment progression in RWD, Association of baseline systemic corticosteroid use with time to next treatment in patients with advanced melanoma, non-small cell lung cancer or urothelial cancer receiving cancer immunotherapy in US clinical practice, Pan-cancer profiling of the effect of biopsied site on tumor mutational burden measurements in a real-world data cohort, Characterization and potential therapeutic implications of SMARCA4 variants revealed by targeted exome-sequencing of 131668 cancer patients, Characteristics and outcomes of real-world patients with microsatellite instability-high solid tumors treated with pembrolizumab monotherapy after FDA approval, Association of BRCA alteration type with real-world outcomes to PARP inhibitors in patients with metastatic castrate-resistant prostate cancer, An automated EHR-based tool for identification of patients with metastatic disease to facilitate clinical trial patient ascertainment, PD-L1 tumor proportion score and clinical benefit from first-line pembrolizumab in patients with advanced nonsquamous versus squamous non-small cell lung cancer, Use of real-world data to understand barriers to interventional clinical trial enrollment in community oncology clinics, A multi-stakeholder platform to prospectively link longitudinal real-world clinico-genomic, imaging, and outcomes data for patients with metastatic lung cancer, The adoption of immune checkpoint inhibitors and patterns of care at the end of life, Real-world outcomes for advanced non-small cell lung cancer patients with EGFR exon 19 deletions stratified by deletion size, Semi-automated discovery of real-world patient journeys from electronic health records: advanced non-small cell lung cancer, Impact of adherence to National Comprehensive Cancer Network-recommended first-line therapy on treatment duration for patients with advanced non-squamous non-small cell lung cancer, Utilization of next-generation sequencing and associated systemic therapy initiation in metastatic prostate cancer, Overall survival with docetaxel vs novel hormonal therapy with abiraterone or enzalutamide after a prior NHT in patients with metastatic prostate cancer: results from a real-world dataset, Real-world ALK testing compliance to NCCN guideline and factors of underutilization, Use of prophylactic cranial irradiation in patients with extensive-stage small cell lung cancer receiving immunotherapy, PD-1 targeted immunotherapy for advanced hepatocellular cancer: current utilization and outcomes in the United States, Real-world outcomes of patients with BRAF-mutated mCRC treated in the United States, Comparative effectiveness of second-line single-agent atezolizumab, nivolumab, and pembrolizumab in patients with locally advanced or metastatic urothelial cancer who progressed on platinum-based systemic chemotherapy: results from a real-world dataset, Real-world outcomes after second-line treatment in non-small cell lung cancer patients treated with immunotherapy, Prevalence of ALK mutation in advanced NSCLC patients in the United States, Uptake of targeted therapy in clinical practice among US patients with ovarian cancer, Patient characteristics and treatment patterns in relapsed/refractory multiple myeloma patients after exposure to a proteasome inhibitor, an immunomodulatory agent, and daratumumab, Racial disparities in utilization and effectiveness of first-line therapies in metastatic castrate-resistant prostate cancer, Trends in real-world clinical outcomes among patients with metastatic pancreatic adenocarcinoma treated with liposomal irinotecan based regimens in the United States, Genomic testing among patients with newly diagnosed advanced non-small cell lung cancer in the United States: a contemporary clinical practice patterns study, Role of real-world evidence for oncology product registration in the United States: a review of approvals by the U.S. Food and Drug Administration from 2015 to 2019, 12-month uptake of PD-L1 testing and atezolizumab + nab-paclitaxel treatment in metastatic triple-negative breast cancer following accelerated FDA-approval in the United States, Clinical outcomes between patients with and without RET fusions in advanced/metastatic non-small cell lung cancer in the United States, Indirect comparison of TAK-788 vs real-world data outcomes in refractory non-small cell lung cancer with EGFR exon 20 insertions, Real-world use of liposomal irinotecan-based regimens among patients with metastatic pancreatic adenocarcinoma in the United States, Real-world treatment patterns and clinical outcomes of advanced melanoma patients following disease progression on anti-PD-1-based therapy, Uptake of first-line immune checkpoint inhibitors among medically frail patients with advanced solid malignancies, Real-world dosing, management, and clinical outcomes of patients with metastatic pancreatic adenocarcinoma treated with liposomal irinotecan, Real-world outcomes among patients with epidermal growth factor receptor (EGFR) mutated non-small cell lung cancer treated with EGFR tyrosine kinase inhibitors versus immunotherapy or chemotherapy in first-line setting. 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