Ed Hammond, PhD, Director of the Duke Center for Health Informatics will be the Featured Keynote Speaker on March 20, 2017 at a workshop sponsored by the Object Management Group. Click here for more information.
Health Data Management released their 2016 list of the top 50 healthcare experts in the field on December 22, including Duke Center for Health Informatics’ own Ed Hammond, PhD. View the full list on healthdatamanagement.com.
Duke University School of Medicine and Duke Clinical and Translational Science Institute is hosting HL7® FHIR® Applications Roundtable on March 7-8, 2017.
What is the FHIR® Applications Roundtable?
The HL7 FHIR Applications Roundtable is a two-day event featuring numerous short form presentations/demos from providers, vendors, academic institutions, start-ups and other individuals showcasing FHIR-based solutions that are currently in development or already being deployed. The purpose of this meeting is to educate the healthcare industry about the power and maturity of HL7 FHIR. Attendees will be invited to judge the quality of the FHIR presentations by voting on best of show and other awards to be announced. This meeting is not a technical meeting; no code-a-thons or work group business will take place. Anyone interested in understanding, implementing or developing FHIR applications will find value in this event
HL7 is inviting submissions from across the healthcare industry to make a 15-minute session. Interested presenters should complete the speakers form.
The Mary Duke Biddle Trent Semans Center for Health Education
The Great Hall
Duke University Medical Center
Durham, NC 27710
How Do I Register?
Register Online: Please complete the registration form. Online registration is available until the end of the day E.T. on March 2. For your convenience, you can pay via credit card directly on the website, or print the registration form and mail it with payment.
Mail: Please complete the registration form and mail it (along with credit card information or a check payable to Health Level Seven International in U.S. funds drawn on a U.S. bank ONLY) to the following address: Health Level Seven International, 3300 Washtenaw Ave. Suite #227, Ann Arbor, MI 48104 USA
Fax: You may fax registration and credit card information to: +1 (734) 677-6622.
Advance Registration/Payment: Advance registrations MUST include payment. Registrations received without payment will not be processed until the time that payment is received and will be charged the Standard Rate.
On-site Registration: On-site registrations will be accepted March 7-8, 2017. Payment in full is required at the time of registration.
For more information, please contact Mary Ann Boyle at: +1 (734) 677-7777 or maryann@HL7.org.
Read more here.
Jessica Tenenbaum, PhD(link is external), Assistant Professor of Biostatistics & Bioinformatics, will be inducted into the American College of Medical Informatics on Nov. 13, 2016. She is one of 23 new fellows elected by peers this year.
ACMI is a professional society of elected Fellows from the United States and abroad who have made significant and sustained contributions to the field of medical informatics and who have met rigorous scholarly scrutiny by their peers. Incorporated in 1984, ACMI dissolved its separate corporate status to merge with the American Association for Medical Systems and Informatics (AAMSI) and the Symposium on Computer Applications in Medical Care (SCAMC) when AMIA was formed in 1989. The College now exists as an entity within AMIA, with its own bylaws and regulations.
The College originated in 1984 when five pioneers in informatics, including Ed Hammond, MD, director of the Duke Center for Informatics, decided to establish an honorific society to recognize expertise in biomedical Informatics. Today, there are nearly 300 Fellows.
The U.S. Federal statistical system, coordinated by the Office of Management and Budget (OMB), consists of 13 principal statistical agencies that collect data as their primary mission. OMB has established several classification systems to coordinate Federal statistical activities. The Standard Occupational Classification (SOC) is one of these classification systems. All Federal agencies that publish occupational data for statistical purposes are required to use the SOC. The SOC reflects the occupational structure of the U.S., classifying all occupations in which work is performed for pay or profit in the public, private, and military sectors. All Federal agencies that publish occupational data for statistical purposes are required to use the SOC; State and local government agencies are strongly encouraged to use this national system to promote a common language for categorizing and analyzing occupations. (For more information: https://www.regulations.gov/document?D=OMB_FRDOC_0001-0183)
To reflect changes in the economy and in the nature of work, the SOC is revised periodically. OMB has recently asked for public comment on the Standard Occupational Classification Policy Committee’s (SOCPC) recommendations for revising the 2010 Standard Occupational Classification (SOC). One of the SOCPC’s recommendations is the inclusion of a new code for “health informatics” as an occupation. Their definition, however, combines Health Information Technology, Health Information Management, and Health Informatics Specialists and Analysis. AMIA has responded to the SOCPC with recommendations and a request to separate the three as distinctly different occupations. The Duke Center for Health Informatics is one of 36 signatories on the AMIA letter.
The review and revision is to be completed by the end of 2016 and released for use beginning in reference year 2018.
Rachel Richesson, PhD is an associate professor in the Duke School of Nursing and has been awarded a grant for her NIH R15/National Library of Medicine proposal entitled: “Quantifying System and Data Readiness for Automated Clinical Decision Support”.
Automated clinical decision support (CDS) tools (e.g., provider alerts and reminders, or context relevant treatment information), embedded within electronic health record (EHR) systems, have been shown to improve provider compliance with practice guidelines and improve patient outcomes. The routine use of automated CDS is a fundamental component of the national healthcare reform strategy endorsed by the Centers for Medicare and Medicaid Services, the Office of the National Coordinator for Health IT, and two presidents. Once an organization identifies a clinical “practice gap” and corresponding CDS application, such as a provider alert, a number of technical and social issues must be addressed to ensure that the CDS intervention fits well in current work flows, is acceptable to providers, and functions as intended. At present, there is no guidance for potential CDS implementers on how to align their local data structures with the patient data “input” requirements of formal algorithm-based guidelines, nor is there a model to quantify the readiness of an organization of the resources that will be needed to integrate different CDS applications into local EHR systems. This proposed research will quantify the alignment of CDS data requirements (“inputs”) with EHR data structures, the quality of the data collected, and provider preferences. We propose to combine these metrics into a feasibility assessment for CDS implementation that can be used by organizations to prioritize CDS projects and by disease advocacy organizations and professional societies to identify CDS opportunities with the broadest potential for implementation and impact.
Electronic Health Records for Quality Nursing and Health Care
Tiffany Kelley, PhD, RN, a Duke PhD alumnus from the School of Nursing, recently published a book titled “Electronic Health Records for Quality Nursing & Health Care” . She is is the founder and CEO of the Nightingale Apps, LLC and has spent the last 9 years working in the field of informatics. In her book, Dr. Kelley discusses how nurses play a vital role within our health care organization, the importance for nurses to be knowledgeable about the EHR they use in their day to day positions, how an EHR can support health data information needs about the patient, and ways to evaluate the impact the EHR has on delivery and quality care.
W. Ed Hammond, PhD, Director of the Duke Center for Health Informatics, has endorsed the book: “Electronic Health Records for Quality Nursing & Health Care is a significant contribution to the field of literature in informatics. I strongly recommend this book for your book shelf. Dr. Kelley has grasped the flow and development of the field and shares that with the reader.”
“The History of Medical Informatics in the United States” focuses on the revolution medical informatics has undergone over the years since the original book was released in 1995. The health systems that were once entirely institutionally driven are now united by systems that are driven by clinical subspecialties, nursing, pathology, clinical laboratory, pharmacy, imaging, and more. The book recognizes that the principal focus is a patient’s individual health as a whole that all of these systems are designed to serve the patient and not the clinician nor the institution like previously believed to be true.
“A group of world-renowned authors have joined forces with Dr. Marion Ball to bring Dr. Collen’s incredible work to press. These recognized leaders in medical informatics, many of whom are the recipients of the Morris F. Collen Award in Medical Informatics and were friends of or mentored by Dr. Collen, carefully reviewed, editing and updating his draft chapters. This has resulted in the most thorough history of the subject imaginable, and also provides readers with a roadmap for the subject well into later in the century.”-Springer
In an effort to share experiences and perspectives of those working with electronic health data (EHD), AcademyHealth’s peer-reviewed open access journal, eGEMS, has released its Concordium 2015 special issue exploring the strategic use of evidence to transform delivery systems. The issue includes papers on national leadership perspectives and discussions leveraging health IT and electronic health data to improve learning health system models and patient engagement. Since its launch in 2013, the journal has published more than 100 papers featuring cutting-edge projects from leaders in the field.
Included in the Special Issue is a paper authored by Rachel Richesson, PhD, Michelle Smerek, and C. Blake Cameron, MD, MBI, titled A Framework to support the Sharing and Re-Use of Computable Phenotype Definitions Across Health Care Delivery and Clinical Research Applications. Although computable phenotypes (EHR-based condition definitions) enable the identification of cohorts of patients with certain diseases or clinical profiles for registries and research, there is not yet a single consolidated repository for all computable phenotypes to promote the use of common definitions across research and health case use cases. The authors present a framework for developing a national infrastructure to re-use and share phenotype definitions. The proposed infrastructure includes existing phenotypes, information for evaluation of relevance of a particular definition for a particular study, implementation guidance, and user-friendly support tools. The authors suggest that such an infrastructure will support a national culture of learning health care and potentially improve reproducible science. Dr. Richesson is an Associate Professor, Duke University School of Nursing; Ms. Smerek is a bioinformatician at the Duke Clinical Research Unit; and Dr. Cameron is a nephrologist and medical instructor in the Duke School of Medicine.