Automated Matching of Patients to Clinical Trials: A Patient-Centric Natural Language Processing Approach for Pediatric Leukemia.

PURPOSE: Matching patients to clinical trials is cumbersome and costly. Attempts have been made to automate the matching process; however, most have used a trial-centric approach, which focuses on a single trial. In this study, we developed a patient-centric matching tool that matches patient-specific demographic and clinical information with free-text clinical trial inclusion and exclusion criteria extracted using natural language processing to return a list of relevant clinical trials ordered by the patient's likelihood of eligibility. MATERIALS AND METHODS: Records from pediatric leukemia clinical trials were downloaded from ClinicalTrials.gov. Regular expressions were used to discretize and extract individual trial criteria. A multilabel support vector machine (SVM) was trained to classify sentence embeddings of criteria into relevant clinical categories. Labeled criteria were parsed using regular expressions to extract numbers, comparators, and relationships. In the validation phase, a patient-trial match score was generated for each trial and returned in the form of a ranked list for each patient. RESULTS: In total, 5,251 discretized criteria were extracted from 216 protocols. The most frequent criterion was previous chemotherapy/biologics (17%). The multilabel SVM demonstrated a pooled accuracy of 75%. The text processing pipeline was able to automatically extract 68% of eligibility criteria rules, as compared with 80% in a manual version of the tool. Automated matching was accomplished in approximately 4 seconds, as compared with several hours using manual derivation. CONCLUSION: To our knowledge, this project represents the first open-source attempt to generate a patient-centric clinical trial matching tool. The tool demonstrated acceptable performance when compared with a manual version, and it has potential to save time and money when matching patients to trials.

Artificial Intelligence Tool for Optimizing Eligibility Screening for Clinical Trials in a Large Community Cancer Center.

PURPOSE: Less than 5% of patients with cancer enroll in clinical trials, and 1 in 5 trials are stopped for poor accrual. We evaluated an automated clinical trial matching system that uses natural language processing to extract patient and trial characteristics from unstructured sources and machine learning to match patients to clinical trials. PATIENTS AND METHODS: Medical records from 997 patients with breast cancer were assessed for trial eligibility at Highlands Oncology Group between May and August 2016. System and manual attribute extraction and eligibility determinations were compared using the percentage of agreement for 239 patients and 4 trials. Sensitivity and specificity of system-generated eligibility determinations were measured, and the time required for manual review and system-assisted eligibility determinations were compared. RESULTS: Agreement between system and manual attribute extraction ranged from 64.3% to 94.0%. Agreement between system and manual eligibility determinations was 81%-96%. System eligibility determinations demonstrated specificities between 76% and 99%, with sensitivities between 91% and 95% for 3 trials and 46.7% for the 4th. Manual eligibility screening of 90 patients for 3 trials took 110 minutes; system-assisted eligibility determinations of the same patients for the same trials required 24 minutes. CONCLUSION: In this study, the clinical trial matching system displayed a promising performance in screening patients with breast cancer for trial eligibility. System-assisted trial eligibility determinations were substantially faster than manual review, and the system reliably excluded ineligible patients for all trials and identified eligible patients for most trials.

Recruit--An Ontology Based Information Retrieval System for Clinical Trials Recruitment.

Clinical trials are studies designed to assess whether a new intervention is better than the current alternatives. However, most of them fail to recruit participants on schedule. It is hard to use Electronic Health Record (EHR) data to find eligible patients, therefore studies rely on manual assessment, which is time consuming, inefficient and requires specialized training. In this work we describe the design and development of an information retrieval system with the objective of finding eligible patients for cancer trials. The Recruit system has been in use at A. C. Camargo Cancer Center since August/2014 and contains data from more than 500,000 patients and 9 databases. It uses ontologies to integrate data from several sources and represent medical knowledge, which helps enhance results. One can search both in structured data and inside free text reports. The preliminary quality assessments shows excellent recall rates. Recruit proved to be an useful tool for researchers and its modular design could be applied to other clinical conditions and hospitals.

Frequency and Risk of Marijuana Use among Substance-Using Health Care Patients in Colorado with and without Access to State Legalized Medical Marijuana.

With increasing use of state legalized medical marijuana across the country, health care providers need accurate information on patterns of marijuana and other substance use for patients with access to medical marijuana. This study compared frequency and severity of marijuana use, and use of other substances, for patients with and without state legal access to medical marijuana. Data were collected from 2,030 patients who screened positive for marijuana use when seeking health care services in a large, urban safety-net medical center. Patients were screened as part of a federally funded screening, brief intervention, and referral to treatment (SBIRT) initiative. Patients were asked at screening whether they had a state-issued medical marijuana card and about risky use of tobacco, alcohol, and other illicit substances. A total of 17.4% of marijuana users had a medical marijuana card. Patients with cards had higher frequency of marijuana use and were more likely to screen at moderate than low or high risk from marijuana use. Patients with cards also had lower use of other substances than patients without cards. Findings can inform health care providers of both the specific risks of frequent, long-term use and the more limited risks of other substance use faced by legal medical marijuana users.

Bariatric surgery: an IDF statement for obese Type 2 diabetes.

The International Diabetes Federation Taskforce on Epidemiology and Prevention of Diabetes convened a consensus working group of diabetologists, endocrinologists, surgeons and public health experts to review the appropriate role of surgery and other gastrointestinal interventions in the treatment and prevention of Type 2 diabetes. The specific goals were: to develop practical recommendations for clinicians on patient selection; to identify barriers to surgical access and suggest interventions for health policy changes that ensure equitable access to surgery when indicated; and to identify priorities for research. Bariatric surgery can significantly improve glycaemic control in severely obese patients with Type 2 diabetes. It is an effective, safe and cost-effective therapy for obese Type 2 diabetes. Surgery can be considered an appropriate treatment for people with Type 2 diabetes and obesity not achieving recommended treatment targets with medical therapies, especially in the presence of other major co-morbidities. The procedures must be performed within accepted guidelines and require appropriate multidisciplinary assessment for the procedure, comprehensive patient education and ongoing care, as well as safe and standardized surgical procedures. National guidelines for bariatric surgery need to be developed for people with Type 2 diabetes and a BMI of 35 kg/m² or more.

Bariatric surgery: an IDF statement for obese Type 2 diabetes / Cirurgia bariátrica: uma comunicação da IDF sobre o diabetes tipo 2 em obesos

The International Diabetes Federation Taskforce on Epidemiology and Prevention of Diabetes convened a consensus working group of diabetologists, endocrinologists, surgeons and public health experts to review the appropriate role of surgery and other gastrointestinal interventions in the treatment and prevention of Type 2 diabetes. The specific goals were: to develop practical recommendations for clinicians on patient selection; to identify barriers to surgical access and suggest interventions for health policy changes that ensure equitable access to surgery when indicated; and to identify priorities for research. Bariatric surgery can significantly improve glycaemic control in severely obese patients with Type 2 diabetes. It is an effective, safe and cost-effective therapy for obese Type 2 diabetes. Surgery can be considered an appropriate treatment for people with Type 2 diabetes and obesity not achieving recommended treatment targets with medical therapies, especially in the presence of other major co-morbidities. The procedures must be performed within accepted guidelines and require appropriate multidisciplinary assessment for the procedure, comprehensive patient education and ongoing care, as well as safe and standardized surgical procedures. National guidelines for bariatric surgery need to be developed for people with Type 2 diabetes and a BMI of 35 kg/m² or more.

A Força-Tarefa para Epidemiologia e Prevenção da International Diabetes Federation reuniu um grupo de trabalho com diabetologistas, endocrinologistas, cirurgiões e especialistas em saúde pública para revisar o papel correto da cirurgia e outras intervenções gastrointestinais no tratamento e prevenção do diabetes tipo 2 em obesos. Os objetivos específicos foram: desenvolver recomendações práticas para a seleção dos pacientes; identificar barreiras ao acesso à cirurgia e sugerir intervenções para mudanças das políticas de saúde que garantam equidade de acesso à cirurgia, quando indicada, e identificar prioridades para a pesquisa. A cirurgia bariátrica pode gerar uma melhora significativa no controle glicêmico em pacientes com obesidade grave e diabetes tipo 2. Ela é um tratamento efetivo, seguro e de bom custo-benefício para pacientes obesos com diabetes tipo 2. A cirurgia pode ser considerada um tratamento apropriado para pessoas com diabetes tipo 2 e obesidade que não consigam atingir as metas recomendadas de tratamento com terapias medicamentosas, especialmente na presença de outras comorbidades maiores. Os procedimentos devem ser executados por meio de diretrizes aceitas e requerem uma avaliação multidisciplinar, um processo amplo de educação do paciente e cuidados contínuos, além de procedimentos cirúrgicos seguros e padronizados. As diretrizes nacionais para a cirurgia bariátrica devem ser desenvolvidas para pacientes com diabetes tipo 2 e IMC de 35 kg/m² ou mais.

[Focusing on the subsidized health regime in Colombia]. / La focalización en el régimen subsidiado de salud: elemento spara un balance.

Based on the results of the project "Evaluation of the Processes of the Subsidized health regime" in Colombia, a reflection is presented about the beneficiary selection system--Sisben as a tool to affiliate people to the subsidized health regime. The multiple interpretations which have been given to the Sisben as an instrument to focalize the health services in the poorest populations, are documented and analyzed. This has been interpreted, amongst others, as a measure of the magnitude of poverty, as an approximate indicator of resources or income, or as an evaluation of fulfillment of needs. It was found that amongst the 19 million of poor people living in Colombia in 1997, less than half of them, 8.9 million, have been included in levels 1 and 2 of Sisben, which represents an exclusion error of 53.1%. Of the 10.6 million persons classified in these levels, 1.6% are not poor, giving an inclusion error of 14.9%. The exclusion errors are much more serious than the inclusion ones, because they mean a denial of equal rights and services for all those who are in similar conditions, according to the criteria for assignation of subsidies.