David Cronkite
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View article: A Systematic Process for Assessing Fitness-for-Purpose of Health Outcomes for Computable Phenotyping with Electronic Health Record Data
A Systematic Process for Assessing Fitness-for-Purpose of Health Outcomes for Computable Phenotyping with Electronic Health Record Data Open
Purpose Information from electronic health records (EHRs) may be incorporated into computable phenotype algorithms in efforts to overcome inaccuracies of algorithms based on administrative claims data alone. However, such efforts can be re…
View article: Protocol for Designing a Model to Predict the Likelihood of Psychosis From Electronic Health Records Using Natural Language Processing and Machine Learning
Protocol for Designing a Model to Predict the Likelihood of Psychosis From Electronic Health Records Using Natural Language Processing and Machine Learning Open
This proposed model leverages the strengths of the large volume of patient-specific data from an integrated electronic health record with natural language processing to identify patients at elevated chance of developing a PSD. This project…
View article: Finding uncoded anaphylaxis in electronic health records to estimate the sensitivity of <i>International Classification of Diseases, Tenth Revision,</i> <i> Clinical Modification</i> codes
Finding uncoded anaphylaxis in electronic health records to estimate the sensitivity of <i>International Classification of Diseases, Tenth Revision,</i> <i> Clinical Modification</i> codes Open
View article: Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease Open
Objectives Automated phenotyping algorithms can reduce development time and operator dependence compared to manually developed algorithms. One such approach, PheNorm, has performed well for identifying chronic health conditions, but its pe…
View article: “You Can See the Connections”: Facilitating Visualization of Care Priorities in People Living with Multiple Chronic Health Conditions
“You Can See the Connections”: Facilitating Visualization of Care Priorities in People Living with Multiple Chronic Health Conditions Open
Individuals with multiple chronic health conditions (MCC) often face an overwhelming set of self-management work, resulting in a need to set care priorities. Yet, much self-management work is invisible to healthcare providers. This study a…
View article: Using natural language processing to identify child maltreatment in health systems
Using natural language processing to identify child maltreatment in health systems Open
View article: Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network
Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network Open
View article: Improving physical activity among prostate cancer survivors through a peer-based digital walking program.
Improving physical activity among prostate cancer survivors through a peer-based digital walking program. Open
Physical activity is important for prostate cancer survivors. Yet survivors face significant barriers to traditional structured exercise programs, limiting engagement and impact. Digital programs that incorporate fitness trackers and peer …
View article: Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning
Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning Open
We sought to determine whether machine learning and natural language processing (NLP) applied to electronic medical records could improve performance of automated health-care claims-based algorithms to identify anaphylaxis events using dat…
View article: Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening
Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening Open
Background Patients and their loved ones often report symptoms or complaints of cognitive decline that clinicians note in free clinical text, but no structured screening or diagnostic data are recorded. These symptoms/complaints may be sig…
View article: Clinical Documentation of Patient-Reported Medical Cannabis use in Primary Care: Toward Scalable Extraction using Natural Language Processing Methods
Clinical Documentation of Patient-Reported Medical Cannabis use in Primary Care: Toward Scalable Extraction using Natural Language Processing Methods Open
Background: Most states have legalized medical cannabis, yet little is known about how medical cannabis use is documented in patients’ electronic health records (EHRs). We used natural language processing (NLP) to calculate the prevalence …
View article: Additional file 1 of Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening
Additional file 1 of Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening Open
Additional file 1: NLP Dictionary.
View article: Prevalence of Medical Cannabis Use and Associated Health Conditions Documented in Electronic Health Records Among Primary Care Patients in Washington State
Prevalence of Medical Cannabis Use and Associated Health Conditions Documented in Electronic Health Records Among Primary Care Patients in Washington State Open
In this cross-sectional study, primary care patients with documented medical cannabis use had a high prevalence of health conditions for which cannabis use has potential benefits, yet a higher prevalence of conditions with potential risks …
View article: Design of digital walking programs that engage prostate cancer survivors: Needs and preferences from focus groups.
Design of digital walking programs that engage prostate cancer survivors: Needs and preferences from focus groups. Open
The majority of prostate cancer survivors do not meet physical activity (PA) recommendations. Although technology has shown to promote PA, engagement has been a challenge. This mixed method study characterizes survivors' needs and preferen…
View article: Loci identified by a genome‐wide association study of carotid artery stenosis in the eMERGE network
Loci identified by a genome‐wide association study of carotid artery stenosis in the eMERGE network Open
Carotid artery atherosclerotic disease (CAAD) is a risk factor for stroke. We used a genome‐wide association (GWAS) approach to discover genetic variants associated with CAAD in participants in the electronic Medical Records and Genomics (…
View article: Resilience of clinical text de-identified with “hiding in plain sight” to hostile reidentification attacks by human readers
Resilience of clinical text de-identified with “hiding in plain sight” to hostile reidentification attacks by human readers Open
Objective Effective, scalable de-identification of personally identifying information (PII) for information-rich clinical text is critical to support secondary use, but no method is 100% effective. The hiding-in-plain-sight (HIPS) approach…
View article: Primary Care Opioid Taper Plans Are Associated with Sustained Opioid Dose Reduction
Primary Care Opioid Taper Plans Are Associated with Sustained Opioid Dose Reduction Open
View article: Measuring problem prescription opioid use among patients receiving long-term opioid analgesic treatment: development and evaluation of an algorithm for use in EHR and claims data
Measuring problem prescription opioid use among patients receiving long-term opioid analgesic treatment: development and evaluation of an algorithm for use in EHR and claims data Open
OBJECTIVE: Opioid surveillance in response to the opioid epidemic will benefit from scalable, automated algorithms for identifying patients with clinically documented signs of problem prescription opioid use. Existing algorithms lack accur…
View article: <p>Identification and validation of uterine perforation, intrauterine device expulsion, and breastfeeding in four health care systems with electronic health records</p>
Identification and validation of uterine perforation, intrauterine device expulsion, and breastfeeding in four health care systems with electronic health records Open
Mary S Anthony,1 Mary Anne Armstrong,2 Darios Getahun,3 Delia Scholes,4 Jennifer Gatz,5 Renate Schulze-Rath,6 Debbie Postlethwaite,2 Maqdooda Merchant,2 Amy L Alabaster,2 Giulia Chillemi,2 Tina Raine-Bennett,2 Fagen Xie,3 Vicki Y Chiu,3 Th…
View article: The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight
The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight Open
Objective Clinical corpora can be deidentified using a combination of machine-learned automated taggers and hiding in plain sight (HIPS) resynthesis. The latter replaces detected personally identifiable information (PII) with random surrog…
View article: <i>LPA</i> Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins
<i>LPA</i> Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins Open
Background: Coronary heart disease (CHD) is a leading cause of death globally. Although therapy with statins decreases circulating levels of low-density lipoprotein cholesterol and the incidence of CHD, additional events occur despite stat…
View article: Interactive Visualization of a Patient’s Electronic Health Information to Assist Manual Chart Review Using Tableau® Software
Interactive Visualization of a Patient’s Electronic Health Information to Assist Manual Chart Review Using Tableau® Software Open
Background: Identification of many important health conditions requires synthesis of subtle clinical observations diffusely recorded in electronic health record (EHR) notes, making manual chart review the only viable method of collecting s…
View article: Is the Juice Worth the Squeeze? Costs and Benefits of Multiple Human Annotators for Clinical Text De-identification
Is the Juice Worth the Squeeze? Costs and Benefits of Multiple Human Annotators for Clinical Text De-identification Open
Summary Background: Clinical text contains valuable information but must be de-identified before it can be used for secondary purposes. Accurate annotation of personally identifiable information (PII) is essential to the development of aut…
View article: A Lightweight Text Mining Tool for Multisite Research
A Lightweight Text Mining Tool for Multisite Research Open
Background/Aims: The use of electronic medical records provides researchers and care administrators with access to increased patient information. Much of the information, however, is available only as unstructured data in clinical notes, w…
View article: Automated Prediction of Risk for Problem Opioid Use in a Primary Care Setting
Automated Prediction of Risk for Problem Opioid Use in a Primary Care Setting Open
View article: Validation of natural language processing to extract breast cancer pathology procedures and results
Validation of natural language processing to extract breast cancer pathology procedures and results Open