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

Powered by Harvard Catalyst
  • 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
Hide