Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.

INTRODUCTION: As many as 3% of computed tomography (CT) scans detect pancreatic cysts. Because pancreatic cysts are incidental, ubiquitous and poorly understood, follow-up is often not performed. Pancreatic cysts may have a significant malignant potential and their identification represents a 'window of opportunity' for the early detection of pancreatic cancer. The purpose of this study was to implement an automated Natural Language Processing (NLP)-based pancreatic cyst identification system. METHOD: A multidisciplinary team was assembled. NLP-based identification algorithms were developed based on key words commonly used by physicians to describe pancreatic cysts and programmed for automated search of electronic medical records. A pilot study was conducted prospectively in a single institution. RESULTS: From March to September 2013, 566,233 reports belonging to 50,669 patients were analysed. The mean number of patients reported with a pancreatic cyst was 88/month (range 78-98). The mean sensitivity and specificity were 99.9% and 98.8%, respectively. CONCLUSION: NLP is an effective tool to automatically identify patients with pancreatic cysts based on electronic medical records (EMR). This highly accurate system can help capture patients 'at-risk' of pancreatic cancer in a registry.

Structure, functions, and activities of a research support informatics section.

The authors describe a research group that supports the needs of investigators seeking data from an electronic medical record system. Since its creation in 1972, the Regenstrief Medical Records System has captured and stored more than 350 million discrete coded observations on two million patients. This repository has become a central data source for prospective and retrospective research. It is accessed by six data analysts--working closely with the institutional review board--who provide investigators with timely and accurate data while protecting patient and provider privacy and confidentiality. From January 1, 1999, to July 31, 2002, data analysts tracked their activities involving 47,559 hours of work predominantly for physicians (54%). While data retrieval (36%) and analysis (25%) were primary activities, data analysts also actively collaborated with researchers. Primary objectives of data provided to investigators were to address disease-specific (35.4%) and drug-related (12.2%) questions, support guideline implementation (13.1%), and probe various aspects of clinical epidemiology (5.7%). Outcomes of these endeavors included 117 grants (including 300,000 US dollars per year salary support for data analysts) and 139 papers in peer-reviewed journals by investigators who rated the support provided by data analysts as extremely valuable.

Can lay health workers promote better medical self-management by persons living with HIV? An evaluation of the Positive Choices program.

OBJECTIVE: To evaluate Positive Choices (PC), a program that employed lay health workers to motivate antiretroviral adherence among persons living with HIV with coverage from Indiana's high-risk insurance pool. METHODS: Four hundred and forty nine participants living in the greater Indianapolis area were randomly allocated to treatment (n = 91) or control (n = 358) groups and followed for one year. RESULTS: Compared to control subjects, PC subjects were more likely to adhere to HIV medications (medication possession ratio adherence ≥ 0.95, OR = 1.83, p = 0.046), and to achieve undetectable viral load (<50 copies/mL, OR = 2.01, p = 0.011) in the 12 months following introduction of PC. There were no significant differences observed between groups in any of self-reported health status indicators. CONCLUSION: Estimates suggest that PC clients were 16% more likely to have undetectable viral loads than clients in standard care. The incremental program cost was approximately $10,000 for each additional person who achieved an undetectable viral load. PRACTICE IMPLICATIONS: As persons living with HIV experience greater longevity and healthcare reform expands coverage to these high-risk populations, greater demands will be placed on the HIV-care workforce. Results suggest lay health workers may serve as effective adjuncts to professional care providers.

Mass media release of medical research results: an analysis of antihypertensive drug prescribing in the aftermath of the calcium channel blocker scare of March 1995.

BACKGROUND: Disclosure of medical research results to the public creates tension between lay medical reporters and the medical profession. OBJECTIVE: To explore the early effect of media attention on the risks associated with short-acting calcium channel blockers (CCBs) for treating hypertension after publication at a national meeting and following publication. DESIGN: Time-series analysis of prescription claims data. SETTING AND DATA SOURCE: National third-party pharmaceutical benefits manager. PATIENTS: Employed or retired persons and their families, 18 years of age or older, receiving prescription benefits from 1 of 4 national companies that contracted with the pharmaceutical benefits manager exclusively for prescription drug coverage. MEASUREMENTS: Prescription claims for antihypertensive drugs by fill date converted to a percentage of all cardiovascular drug claims. Data were grouped into weekly intervals before and immediately after the national release of negative information about CCBs on March 10, 1995 and following publication of the results on August 23, 1995. RESULTS: The most prevalent antihypertensive drugs were diuretics (21% of cardiovascular prescription claims) and calcium channel blockers (19%). A 10% decline in prescriptions filled for CCBs occurred 4 weeks following the intense media attention. Only prescriptions for long-acting calcium channel blockers declined. Alpha-1-blocker prescriptions increased by approximately the same amount that prescriptions for CCBs declined, suggesting substitution of one drug for the other. Changes in diuretic or beta-blocker prescriptions filled were not statistically significant. No immediate change in other cardiovascular drug classes occurred following journal publication. CONCLUSIONS: Intense media publicity regarding a controversial study measurably and unpredictably changed prescription claims.

Quantifying risk of adverse clinical events with one set of vital signs among primary care patients with hypertension.

BACKGROUND: Hypertension is often uncontrolled. One reason might be physicians' reticence to modify therapy in response to single office measurements of vital signs. METHODS: Using electronic records from an inner-city primary care practice, we extracted information about vital signs, diagnoses, test results, and drug therapy available on the first primary care visit in 1993 for patients with hypertension. We then identified multivariable predictors of subsequent vascular complications in the ensuing 5 years. RESULTS: Of 5,825 patients (mean age 57 years) previously treated for hypertension for 5.6 years, 7% developed myocardial infarctions, 17% had strokes, 24% developed ischemic heart disease, 22% had heart failure, 12% developed renal insufficiency, and 13% died in 5 years. Controlling for other clinical data, a 10-mmHg increase in systolic blood pressure was associated with 13% increased risk (95% confidence interval [CI], 6%-21%) of renal insufficiency, 9% (95% CI, 3%-15%) increased risk of ischemic heart disease, 7% (95% CI, 3%-11%) increased risk of stroke, and 6% (95% CI, 2%-9%) increased risk of first stroke or myocardial infarction. A 10-mmHg elevation in mean blood pressure predicted a 12% (95% CI, 5%-20%) increased risk of heart failure. An increase in heart rate of 10 beats per minute predicted a 16% (95% CI, 2%-5%) increased risk of death. Diastolic blood pressure predicted only a 13% (95% CI, 4%-23%) increased risk of first stroke. CONCLUSIONS: Vital signs-especially systolic blood pressure-recorded routinely during a single primary care visit had significant prognostic value for multiple adverse clinical events among patients treated for hypertension and should not be ignored by clinicians.