Photo of Charlotta Lindvall,  MD, PhD

Charlotta Lindvall, MD, PhD

Dana-Farber Cancer Institute

Dana-Farber Cancer Institute
Phone: (617) 582-9317


Charlotta_Lindvall@dfci.harvard.edu

Charlotta Lindvall, MD, PhD

Dana-Farber Cancer Institute

EDUCATIONAL TITLES

  • Instructor, Medicine, Harvard Medical School
  • Physician, Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute

DF/HCC PROGRAM AFFILIATION

Research Abstract

My ultimate goal is to develop and implement scalable quality improvement programs that utilize methods such as natural language processing (NLP) and deep learning. Developing and testing a novel NLP-based approach to capture palliative care quality measures is a strategic step toward these goals, with ample opportunity for extension and tremendous potential to improve clinical care.

Publications

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  • Lindvall C, Deng CY, Moseley E, Agaronnik N, El-Jawahri A, Paasche-Orlow MK, Lakin JR, Volandes A, Tulsky TAIJA. Natural Language Processing to Identify Advance Care Planning Documentation in a Multisite Pragmatic Clinical Trial. J Pain Symptom Manage 2021. PubMed
  • Huang K, Gray TF, Romero-Brufau S, Tulsky JA, Lindvall C. Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study. J Am Med Inform Assoc 2021. PubMed
  • Lakin JR, Gundersen DA, Lindvall C, Paasche-Orlow MK, Tulsky JA, Brannen EN, Pollak KI, Kennedy D, McLeggon JA, Stout JJ, Volandes A, . A Yet Unrealized Promise: Structured Advance Care Planning Elements in the Electronic Health Record. J Palliat Med 2021. PubMed
  • O'Hanlon CE, Lindvall C, Giannitrapani KF, Garrido M, Ritchie C, Asch S, Gamboa RC, Canning M, Lorenz KA, Walling AM, . Expert Stakeholder Prioritization of Process Quality Measures to Achieve Patient- and Family-Centered Palliative and End-of-Life Cancer Care. J Palliat Med 2021. PubMed
  • Agaronnik ND, El-Jawahri A, Lindvall C, Iezzoni LI. Exploring the Process of Cancer Care for Patients With Pre-Existing Mobility Disability. JCO Oncol Pract 2021; 17:e53-e61. PubMed
  • Wen Z, Nair P, Deng CY, Lu XH, Moseley E, George N, Lindvall C, Li Y. Mining heterogeneous clinical notes by multi-modal latent topic model. PLoS ONE 2021; 16:e0249622. PubMed
  • Agaronnik N, Lindvall C, El-Jawahri A, He W, Iezzoni L. Use of Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer. JAMA Oncol 2020. PubMed
  • Lee RY, Brumback LC, Lober WB, Sibley J, Nielsen EL, Treece PD, Kross EK, Loggers ET, Fausto JA, Lindvall C, Engelberg RA, Curtis JR. Identifying Goals of Care Conversations in the Electronic Health Record Using Natural Language Processing and Machine Learning. J Pain Symptom Manage 2020. PubMed
  • O'Hanlon CE, Lindvall C, Lorenz KA, Giannitrapani KF, Garrido M, Asch SM, Wenger N, Malin J, Dy SM, Canning M, Gamboa RC, Walling AM. Measure Scan and Synthesis of Palliative and End-of-Life Process Quality Measures for Advanced Cancer. JCO Oncol Pract 2020. PubMed
  • Geerse OP, Lamas DJ, Bernacki RE, Sanders JJ, Paladino J, Berendsen AJ, Hiltermann TJN, Lindvall C, Fromme EK, Block SD. Adherence and Concordance between Serious Illness Care Planning Conversations and Oncology Clinician Documentation among Patients with Advanced Cancer. J Palliat Med 2020. PubMed
  • DeCamp M, Lindvall C. Latent bias and the implementation of artificial intelligence in medicine. J Am Med Inform Assoc 2020. PubMed
  • Agaronnik N, Lindvall C, El-Jawahri A, He W, Iezzoni L. Challenges of Developing a Natural Language Processing Method with Electronic Health Records to Identify Persons with Chronic Mobility Disability. Arch Phys Med Rehabil 2020. PubMed
  • O'Hanlon CE, Walling AM, Lindvall C. Shortlist of Quality Indicators for End-of-Life Cancer Care. JAMA Oncol 2020. PubMed
  • Waring J, Lindvall C, Umeton R. Automated machine learning: Review of the state-of-the-art and opportunities for healthcare. Artif Intell Med 2020; 104:101822. PubMed
  • Udelsman BV, Moseley ET, Sudore RL, Keating NL, Lindvall C. Deep Natural Language Processing Identifies Variation in Care Preference Documentation. J Pain Symptom Manage 2020. PubMed
  • Lakin JR, Brannen EN, Tulsky JA, Paasche-Orlow MK, Lindvall C, Chang Y, Gundersen DA, El-Jawahri A, Volandes A, . Advance Care Planning: Promoting Effective and Aligned Communication in the Elderly (ACP-PEACE): the study protocol for a pragmatic stepped-wedge trial of older patients with cancer. BMJ Open 2020; 10:e040999. PubMed
  • Brizzi K, Zupanc SN, Udelsman BV, Tulsky JA, Wright AA, Poort H, Lindvall C. Natural Language Processing to Assess Palliative Care and End-of-Life Process Measures in Patients With Breast Cancer With Leptomeningeal Disease. Am J Hosp Palliat Care 2019. PubMed
  • Udelsman BV, Lee KC, Lilley EJ, Chang DC, Lindvall C, Cooper Z. Variation in Serious Illness Communication among Surgical Patients Receiving Palliative Care. J Palliat Med 2019. PubMed
  • Lee KC, Udelsman BV, Streid J, Chang DC, Salim A, Livingston DH, Lindvall C, Cooper Z. Natural Language Processing Accurately Measures Adherence to Best Practice Guidelines for Palliative Care in Trauma. J Pain Symptom Manage 2019. PubMed
  • Udelsman BV, Lilley EJ, Qadan M, Chang DC, Lillemoe KD, Lindvall C, Cooper Z. Deficits in the Palliative Care Process Measures in Patients with Advanced Pancreatic Cancer Undergoing Operative and Invasive Nonoperative Palliative Procedures. Ann Surg Oncol 2019. PubMed
  • Poort H, Zupanc SN, Leiter RE, Wright AA, Lindvall C. Documentation of Palliative and End-of-Life Care Process Measures Among Young Adults Who Died of Cancer: A Natural Language Processing Approach. J Adolesc Young Adult Oncol 2019. PubMed
  • Udelsman B, Lee K, Qadan M, Lillemoe KD, Chang D, Lindvall C, Cooper Z. Management of Pneumoperitoneum: Role and Limits of Nonoperative Treatment. Ann Surg 2019. PubMed
  • Sanders JJ, Berrier AI, Nshuti L, Tulsky JA, Lindvall C. Differences by Race, Religiosity, and Mental Health in Preferences for Life-Prolonging Treatment Among Medicare Beneficiaries. J Gen Intern Med 2019. PubMed
  • Chua IS, Leiter RE, Brizzi KT, Coey CA, Mazzola E, Tulsky JA, Lindvall C. US National Trends in Opioid-Related Hospitalizations Among Patients With Cancer. JAMA Oncol 2019. PubMed
  • Udelsman BV, Corey KE, Lindvall C, Gee DW, Meireles OR, Hutter MM, Chang DC, Witkowski ER. Risk factors and prevalence of liver disease in review of 2557 routine liver biopsies performed during bariatric surgery. Surg Obes Relat Dis 2019. PubMed
  • Ouchi K, George N, Schuur JD, Aaronson EL, Lindvall C, Bernstein E, Sudore RL, Schonberg MA, Block SD, Tulsky JA. Goals-of-Care Conversations for Older Adults With Serious Illness in the Emergency Department: Challenges and Opportunities. Ann Emerg Med 2019. PubMed
  • Hu SY, Santus E, Forsyth AW, Malhotra D, Haimson J, Chatterjee NA, Kramer DB, Barzilay R, Tulsky JA, Lindvall C. Can machine learning improve patient selection for cardiac resynchronization therapy? PLoS ONE 2019; 14:e0222397. PubMed
  • Chan A, Chien I, Moseley E, Salman S, Kaminer Bourland S, Lamas D, Walling AM, Tulsky JA, Lindvall C. Deep learning algorithms to identify documentation of serious illness conversations during intensive care unit admissions. Palliat Med 2018. PubMed
  • Lindvall C, Lilley EJ, Zupanc SN, Chien I, Udelsman BV, Walling A, Cooper Z, Tulsky JA. Natural Language Processing to Assess End-of-Life Quality Indicators in Cancer Patients Receiving Palliative Surgery. J Palliat Med 2018. PubMed
  • Udelsman B, Chien I, Ouchi K, Brizzi K, Tulsky JA, Lindvall C. Needle in a Haystack: Natural Language Processing to Identify Serious Illness. J Palliat Med 2018. PubMed
  • Curtis JR, Sathitratanacheewin S, Starks H, Lee RY, Kross EK, Downey L, Sibley J, Lober W, Loggers ET, Fausto JA, Lindvall C, Engelberg RA. Using Electronic Health Records for Quality Measurement and Accountability in Care of the Seriously Ill: Opportunities and Challenges. J Palliat Med 2018; 21:S52-S60. PubMed
  • Forsyth AW, Barzilay R, Hughes KS, Lui D, Lorenz KA, Enzinger A, Tulsky JA, Lindvall C. Machine Learning Methods to Extract Documentation of Breast Cancer Symptoms From Electronic Health Records. J Pain Symptom Manage 2018. PubMed
  • Lilley EJ, Lindvall C, Lillemoe KD, Tulsky JA, Wiener DC, Cooper Z. Measuring Processes of Care in Palliative Surgery: A Novel Approach Using Natural Language Processing. Ann Surg 2017. PubMed
  • Zhang H, Barysauskas C, Rickerson E, Catalano P, Jacobson J, Dalby C, Lindvall C, Selvaggi K. The Intensive Palliative Care Unit: Changing Outcomes for Hospitalized Cancer Patients in an Academic Medical Center. J Palliat Med 2018; 20:285-289. PubMed
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