Associate Professor, I.U. School of Medicine Research Scientist, Regenstrief Institute

Family Medicine

Shaun Grannis is an expert in the field of Family Medicine. Doctor Shaun J. Grannis, MD is a published doctor. He published 40 publications, including: 'A practical method for predicting frequent use of emergency department care using routinely available electronic registration data.'

Publications

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• Future Needs of Health Departments: A Ride in the Time Machine: Information Management Capabilities Health Departments Will Need.
• Evaluating latent class models with conditional dependence in record linkage.
• The long road to semantic interoperability in support of public health: Experiences from two states.
• Electronic health information quality challenges and interventions to improve public health surveillance data and practice.
• Optimal two-phase sampling design for comparing accuracies of two binary classification rules.
• Towards public health decision support: a systematic review of bidirectional communication approaches.
• Infection preventionists' awareness of and engagement in health information exchange to improve public health surveillance.
• An evaluation of the rates of repeat notifiable disease reporting and patient crossover using a health information exchange-based automated electronic laboratory repor...
• Impact of selective mapping strategies on automated laboratory result notification to public health authorities.
• Incorporating geospatial capacity within clinical data systems to address social determinants of health.
• Practical challenges in the secondary use of real-world data: the notifiable condition detector.
• All health care is not local: an evaluation of the distribution of Emergency Department care delivered in Indiana.
• Electronic laboratory data quality and the value of a health information exchange to support public health reporting processes.
• Data visualization speeds review of potential adverse drug events in patients on multiple medications.
• A visual analytics approach to understanding spatiotemporal hotspots.
• A vision of the journey ahead: using public health notifiable condition mapping to illustrate the need to maintain value sets.
• An empiric modification to the probabilistic record linkage algorithm using frequency-based weight scaling.
• Generating synthetic syndromic-surveillance data for evaluating visual-analytics techniques.
• Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts.
• A comparison of automated methicillin-resistant Staphylococcus aureus identification with current infection control practice.
• Implementing broad scale childhood immunization decision support as a web service.
• A comparison of the completeness and timeliness of automated electronic laboratory reporting and spontaneous reporting of notifiable conditions.
• Using natural language processing to improve accuracy of automated notifiable disease reporting.
• Changes in patient mortality based on increased patient load in the emergency department.
• Privacy protection versus cluster detection in spatial epidemiology.
• A context-sensitive approach to anonymizing spatial surveillance data: impact on outbreak detection.
• The Indiana Public Health Emergency Surveillance System: ongoing progress, early findings, and future directions.
• How disease surveillance systems can serve as practical building blocks for a health information infrastructure: the Indiana experience.
• Reviewing and managing syndromic surveillance SaTScan datasets using an open source data visualization tool.
• The Indiana network for patient care: an integrated clinical information system informed by over thirty years of experience.
• Real world performance of approximate string comparators for use in patient matching.
• Implementing syndromic surveillance: a practical guide informed by the early experience.
• Detection of pediatric respiratory and diarrheal outbreaks from sales of over-the-counter electrolyte products.
• Analysis of a probabilistic record linkage technique without human review.
• Analysis of identifier performance using a deterministic linkage algorithm.
• A practical method for predicting frequent use of emergency department care using routinely available electronic registration data.
• Estimating increased electronic laboratory reporting volumes for meaningful use: 
implications for the public health workforce.
• Variation in information needs and quality: implications for public health surveillance and biomedical informatics.
• A vision for the systematic monitoring and improvement of the quality of electronic health data.

Schools

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• Michigan State University College Of Human Medicine

• Midmichigan Med Center Midland

Doctors Specialties

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• Family Medicine

Accepted Insurances

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• Great West Healthcare-Cigna PPO
• Medicare MCR
• MultiPlan PPO
• PHCS Network PPO

Education

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• Michigan State University College of Human Medicine

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