Accelerating the Benefits of the Problem Oriented Medical Record.
Author(s): Buchanan, Joel
DOI: 10.4338/ACI-2016-04-IE-0054
Author(s): Buchanan, Joel
DOI: 10.4338/ACI-2016-04-IE-0054
The Centers for Medicare & Medicaid Services' Stage 2 final rule requires that eligible hospitals provide a visit summary electronically at transitions of care in order to qualify for "meaningful use" incentive payments. However, Massachusetts state law and Federal law prohibit the transmission of documents containing "sensitive" data unless there is a new patient consent for each transmission.
Author(s): Rocha, Beatriz H, Pabbathi, Deepika, Schaeffer, Molly, Goldberg, Howard S
DOI: 10.4338/ACI-2016-07-RA-0120
The 2013 American College of Cardiology / American Heart Association Guidelines for the Treatment of Blood Cholesterol emphasize treatment based on cardiovascular risk. But finding time in a primary care visit to manually calculate cardiovascular risk and prescribe treatment based on risk is challenging. We developed an informatics-based clinical decision support tool, MayoExpertAdvisor, to deliver automated cardiovascular risk scores and guideline-based treatment recommendations based on patient-specific data in the electronic [...]
Author(s): Scheitel, Marianne R, Kessler, Maya E, Shellum, Jane L, Peters, Steve G, Milliner, Dawn S, Liu, Hongfang, Komandur Elayavilli, Ravikumar, Poterack, Karl A, Miksch, Timothy A, Boysen, Jennifer, Hankey, Ron A, Chaudhry, Rajeev
DOI: 10.4338/ACI-2016-07-RA-0114
Author(s): Ferrão, José Carlos, Oliveira, Mónica Duarte, Janela, Filipe, Martins, Henrique M. G.
DOI: 10.4338/ACI-2016-03-SOA-0035e
Despite significant awareness on the value of leveraging patient relationships across the healthcare continuum, there is no research on the potential of using Electronic Health Record (EHR) systems to store structured patient relationship data, or its impact on enabling better healthcare. We sought to identify which EHR systems supported effective patient relationship data collection, and for systems that do, what types of relationship data is collected, how this data is [...]
Author(s): Kasthurirathne, Suranga N, Mamlin, Burke W, Cullen, Theresa
DOI: 10.4338/ACI-2016-08-RA-0139
Background: With the widespread use of electronic health records (EHRs) for many clinical tasks, interoperability with other health information technology (health IT) is critical for the effective delivery of care. While it is generally recognized that poor interoperability negatively impacts patient care, little is known about the specific patient safety implications. Understanding the patient safety implications will help prioritize interoperability efforts around architectures and standards. Objectives: Our objectives were to [...]
Author(s): Adams, Katharine T, Howe, Jessica L, Fong, Allan, Puthumana, Joseph S, Kellogg, Kathryn M, Gaunt, Michael, Ratwani, Raj M
DOI: 10.4338/ACI-2017-01-RA-0014
Citation: Poku MK, Behkami NA, Bates DW. The obesity epidemic and the potential of augmented reality. Appl Clin Inform 2017; 8: 612–616 https://doi.org/10.4338/ACI-2017-01-LE-0021
Author(s): Poku, Michael K, Behkami, Nima A, Bates, David W
DOI: 10.4338/ACI-2017-01-LE-0021
Electronic reporting of Influenza-like illness (eILI) from primary care was implemented and evaluated in three general medical practices in New Zealand during May to September 2015.
Author(s): Adnan, Mehnaz, Peterkin, Donald, Lopez, Liza, Mackereth, Graham
DOI: 10.4338/ACI-2016-06-RA-0103
Although obesity is a growing problem, primary care physicians often inadequately address it. The objective of this study is to examine the prevalence of obesity documentation in the patient's problem list for patients with eligible body mass indexes (BMI) as contained in the patients' electronic medical record (EMR). Additionally, we examined the prevalence of selected chronic conditions across BMI levels.
Author(s): Mattar, Ahmed, Carlston, David, Sariol, Glen, Yu, Tongle, Almustafa, Ahmad, Melton, Genevieve B, Ahmed, Adil
DOI: 10.4338/ACI-2016-07-RA-0115
Real-time clinical decision support (CDS) integrated with anesthesia information management systems (AIMS) can generate point of care reminders to improve quality of care.
Author(s): Kiatchai, Taniga, Colletti, Ashley A, Lyons, Vivian H, Grant, Rosemary M, Vavilala, Monica S, Nair, Bala G
DOI: 10.4338/ACI-2016-10-RA-0164