Researchers,.css-epvm6{white-space:nowrap;} More, Find a Great First Job to Jumpstart Your Career, Stand Out From the Crowd With the Perfect Cover Letter, How to Prepare for Your Interview and Land the Job. Your score will be measured against the target score to determine if you will be a good candidate for the program. . Glassdoor has 214 Flatiron Health reviews submitted anonymously by Flatiron Health employees. Could any provide referrals to these companies? And created our target scores based on how well our successful students scored. No formal interview, everything online. Abstraction Specialist at Flatiron Health, Abstract complex clinical insights from electronic medical records using our proprietary software system, Support feasibility and initial testing of novel data points or new abstraction approaches, Pilot new Patient Manger tools or features and provide feedback to our team about the software you are using, Obtain and maintain credentials to support abstraction and quality assurance activities, Contribute to the evolution of team processes, Participate in regular team teleconferences and other meetings as required, Work a minimum of 32 hours/week and submit timesheets regularly, Travel to New York City for in-person meetings at least once per year. , Guidehouse, Fortive, Captiv8 Inc., Esri, Morning Consult, Seismic Axonius. The culture at Flatiron is very supportive and one that encourages all to succeed and preform at the highest levels. Remember, you have a 15-minute time cap so youll want to move through as many questions as you can efficiently. Abstract reasoning tests assess your ability to identify the relationships between a series of shapes, patterns or images. When you choose to start a program at Flatiron School, we know that you are investing both financially and an investment of your time. We officially launched our Clinical Research business, joined. 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. Program Faculty | Capital Health Hospitals Leave a review. 1 58% are free text in dedicated field in EHR (requiring hand abstraction) 2 Including 8% of patients with results pending or unsuccessful test Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. In that interview, your admissions rep will share your score and discuss your next steps. I worked in oncology for two years and it still stumped me. The Abstracting a Cancer Case module introduces the methods and procedures used to diagnose cancer as well as the information that should be recorded on the registry abstract. Therefore, since Flatiron started in 2012, it has grown to nearly 500 individuals with backgrounds in healthcare and technology: tech firms like Google and Amazon . Check out our Data Science Course Syllabus and see what you will learn. I certainly never lose sight of the human behind the cell anymore. We may not be building the most cutting-edge technology, but we are innovating the way our users do their work and treat their patients, Candido said. Describe the types of cancer cases that must be abstracted, when they should be abstracted, and how to abstract tumor registry information. para nos informar sobre o problema. Remove any distractions so you can focus for 15 minutes. Posted on 16 December 2021 - 7:39 pm by . Have a piece of paper and a pencil for notes. A total of 1430 women with HR+/HER2 MBC who started palbociclib plus letrozole (n = 772) or letrozole alone (n = 658) as first-line therapy between February 3, 2015, and February 28, 2019, were identified from the Flatiron Database.Most patients (94.0%) were from a community setting; 6.0% of patients were from an academic setting. Michigan Collaborative Data Abstractor: Part-Time. Part-Time Oncology Abstractor (Current Employee) - Remote - December 9, 2022. These cookies track visitors across websites and collect information to provide customized ads. Posted by . Our admissions process includes three phases a written application, the admissions test, and an admissions interview. These cookies ensure basic functionalities and security features of the website, anonymously. flatiron.app comes with a config plugin pre-loaded, which adds configuration management courtesy nconf. Its more important to maintain a decent pace and keep moving through the questions, rather than to stress over scoring perfectly on one question. We're thrilled to learn that Flatiron Health has been awarded as a top employer in The Muses VIBE Awards, a program celebrating companies with strong perks and benefits. Interested in the Principal, Life Sciences Partnership role. And thats how we came up with the target score for applicants. Flatiron Abstract is a NY Title Insurance company. There were three assessments: typing (1 min), basic computer skills (4 min), two cases scenarios (allowed 120 minutes). Clinical Abstractor - Healthcare Analytics. More activity by Cynthia. As engineering manager, I am invested in the professional development of the people I work with. We do this by organizing the world's oncology information and making it useful for patients, physicians, life science companies and investigators to use in order to . They ask about your resume as well as other situational and behavioral questions. Senior Director of Data Insights Engineering Will Shapiro puts a health tech twist on the expression. 15 tests. To present the full-stack of technologies required to build a web app from the ground up. Flatiron has incredibly rich data across broad segments of the population that can be critical in helping design trials that are more inclusive, he said. 26 likes. We don't expect you to complete all the questions. Thats why its important that you are a right fit for the program and vice versa that our program is the right fit for you. There were three assessments: typing (1 min), basic computer skills (4 min), two cases scenarios (allowed 120 minutes). For updated information visit https://flatironschool.com/. The test is a factor in the admissions process, but ultimately, we will consider all three phases of your application to determine an admissions decision. What's the biggest problem your team is solving? an. Flatiron Health. Upvote. We don't care if you use ERB or HAML, the web is built on HTML, and everyone should learn it. Upon any work, and especially upon a play, a great . Take a look at some of the features that set Medical Record Abstraction apart: Scalable staff. I train team members by pulling them out of their comfort zones to the uncomfortable territory. The area of focus pertained to: Problem decomposition, algorithms for data analysis, abstraction design, and ethics in computing. If you continue to see this Check out our Product Design Course Syllabus and see what you will learn. Tedious work for very poor pay. But I digress) the instructions they give are contradictory and dont make sense. In machine learning, the phrase human in the loop describes iterative models that require a human touch. I interviewed at Flatiron Health. The admissions process for Flatiron School includes an assessment test. Thrilling as it was to imagine myself working from the comfort of my own home in yoga pants with coffee in hand . Necessary cookies are absolutely essential for the website to function properly. Abstract. All work is logged in actual minutes working, as well as productivity (tasks . Si vous continuez voir ce Work/life autonomy via flexible work hours and flexible paid time off, 401(k) contribution to help you reach your retirement planning goals, Financial health resources including 1:1 financial advice, Parental benefits and policies including family-building care and generous paid leave, Path to parenthood programs supporting fertility, adoption and surrogacy, Travel support for safe healthcare services, Lifestyle spending account for perks that make sense for you and your family. to let us know you're having trouble. 2 answers. Disorganized company. When creating this pre-work, The Flatiron School had four goals in mind: 1. This cookie is set by GDPR Cookie Consent plugin. Whether working with NoSQL or RDBMS, understanding the fundamentals of . Does anyone know if HR positions are remote eligible at Flatiron Health ? Flatiron School. 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. We asked our current students and graduates of our program to take the admissions test. Built In is the online community for startups and tech companies. Disorganized company. Ask questions, learn about the Data Science classroom experience, and more. naar Interview. Flatiron Health is a technology and services company aiming to accelerate cancer research with the most advanced real-world evidence platform in oncology. The court noted that it is challenging for courts to decide when non-literal copying is infringing. First interview is a phone call with a team member. Spatial reasoning skills are a critical part of science, art, and math. Thanks in advance! Try to answer as many questions as possible in the allotted 15 minutes, with the minimum goal of answering at least 25. The first two numbers are 12 and 19. Reimagining the infrastructure of cancer care. Si continas viendo este mensaje, To handle volume adjustments, we use a . real person. Sarah_Sypris. Aydanos a proteger Glassdoor y demustranos que eres una persona real. This cookie is set by GDPR Cookie Consent plugin. Test. All training and day to day work is completely self guided, must be able to read and understand instructions very clearly. para informarnos de que tienes problemas. The nursing pay is terrible compared to what nurses really make today. Then, the company that prepares the test provided scores from successful professional software engineers, data scientists, cybersecurity engineers and analysts, and product designers. message, please email Nous sommes dsols pour la gne occasionne. Analytical cookies are used to understand how visitors interact with the website. In health research, these reviews can help determine which treatments or types of care work best. Aydanos a proteger Glassdoor verificando que eres una persona real. Im in NYC and am looking around for other opportunities in healthcare. The average sound level for all mainstream restaurants was 78 dBA. You have a high comfort level with technology and familiarity with EMR systems. In a market oversaturated with tech talent, standing out is key to landing interviews and offers. Provides a full overview of how to perform a chart abstraction using ClinixMD EHR. Systematic reviews combine the results of many studies. 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. Castellanos E, Orlando A, Hamrick J, Ma X, O'Connell G, Meropol NJ, Adamson B. Bennette CS, Nussbaum NC, Curtis MD, Meropol NJ, Bartlett CH, Mardekian J, Yu-Kite M, Cotter MJ, Kim S, Decembrino J, Snow T, Carson KR, Rockland JM, Kraus AL, Wilner KD, Oharu N, Schnell P, Lu D, Tursi J, Doebele RC, Perez L, Trinh H, Martinec M, Martina R, Riehl T, Krebs M, Meropol NJ, Wong WB, Crane G, Riely GJ, Lovly CM, Messina C, Bienert S, Alexander K, Pao W, Baxi S, Doebele RC, Willard MD, Smyth EN, Tiu RV, Beyrer J, Zhu YE, Bowman L, Sheffield KM, Han Y, Brastianos P, Giri S, Huntington SF, Wang R, Zeidan AM, Podoltsev NA, Gore S, Ma X, Gross CP, Davidoff AJ, Neparidze N. Garcia R, Dwyer A, Worrall S, Heery CR, Deming DA, Benson AB, Davis A. McLaurin K, Dalvi T, Collins JM, Nordstrom BL, McCutcheon S, Bennett JC, Murphy BR, Singhal PK, Briceno JM, Morgans AK, Rahma OE, Mhatre, SK, Chuo C-Y, Davies J, Martinalbo J, Davarpanah NN, Pachynski R. Richardson PG, Jagannath S, Chari A, Vogl DT, Dimopoulos MA, Moreau P, Dingli D, Wei LJ, Li L, Tang S, Reichman W, Kauffman MG, Shah JJ, Shacham S, Lonial S. Soff GA, Shaw J, Kilpatrick K, Marongiu A, Park J. Batus M, Stefaniak VJ, Molife C, Clarke JM, Winfree KB, Mitchell L, Cui ZL, Bonom PD, John A, Shah R, Wong WB, Schneider C, Gari HH, Johnson M. Bagley SJ, Dhopeshwarkar N, Narayan V, Meropol NJ, Mamtani R, Boursi B. Clarke JM, Mathur R, Molife C, Batus M, Stefaniak VJ, Winfree KB, Baxi S, Cui ZL, Lenis D, Bonomi PD, Feld E, Harton J, Meropol NJ, Adamson B, Parikh RB, Galsky MD, Cohen AB, Narayan V, Christodouleas JP, Vaughn DJ, Hubbard RA, Mamtani R, Shore ND, Sartor AO, Sternberg CN, Saad F, Tombal BF, Miller K, Kalinovsky J, Jiao X, Tangirala K, Higano CS, Westin SN, Louie-Gao M, Badamgarav E, Bala MV, Thaker PH, Mascaux C, Bubendorf L, Barlesi F, Clendening JW, Zhang Q, Mace K, Gondos A, Foser S, Wang L, Paz-Ares LG, Leapman M, Presley CJ, Zhu W, Soulos PR, Adelson KB, Boffa DJ, Gross CP, Smyth EN, Tiu RV, Willard MD, Beyrer J, Zhu YE, Bowman L, Sheffield KM, Han Y, Brastianos P, Whipple S, Martin A, Martinec M, Arbour KC, Seshan VE, Riely GJ, Crane G, Shen R, Allan V, Mungul A, Diaz J, Luo T, Harish A, Ramagopalan S, Chang J, Hooley I, Cohen C, Gross G, Williams E, Adamson B, Hooley I, Chen R, Long L, Cohen A, Adamson B, Ambwani G, Cohen A, Estvez M, Singh N, Adamson B, Nussbaum N, Birnbaum B, Steuten L, Goulart B, Meropol N, Pritchard D, Ramsey S, Sebastian M, Barlesi F, Califano R, Mansfield AS, Blackhall F, Flahavan E, Davies J, Arnold P, Morris S, Reck M, Pan X, Lin MM, Yin Y, Hou P, Baumann P, Jahanzeb M. Frueh M, Rahma OE, Pachynski RK, Mazieres J, Goldschmidt, Jr J, Ton TGN, Mhatre SK, Chuo C-Y, Martinalbo J, Davies J, Juergens R. Backenroth D, Haimson JD, Meropol NJ, Baxi SS. After all, in addition to your experience and skills so far (if any! Tommy Naess. Knowledge and experience with AJCC staging. 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 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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. 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