Clinicians are required to report selected conditions to public health authorities within a stipulated amount of time. The current reporting process is mostly paper-based and inefficient and may lead to delays in case investigation. As electronic medical records become more prevalent, electronic case reporting is becoming increasingly feasible. However, there is no existing standard for the electronic transmission of case reports from healthcare to public health entities. We identified the major requirements of electronic case reports and verified that the requirements support the work processes of the local health departments. We propose an extendable standards-based model to electronically transmit case information and associated laboratory information from healthcare to public health entities. The HL7 v2.5 message model is currently being implemented to transmit electronic case reports from Intermountain Healthcare to the Utah Department of Health.

Purpose:The Utah Improving Care through Connectivity and Collaboration (IC3) Beacon community (2010–2013) was spearheaded by HealthInsight, a nonprofit, community-based organization. One of the main objectives of IC3 was to improve health care provided to patients with diabetes in three Utah counties, collaborating with 21 independent smaller clinics and two large health care enterprises. This paper will focus on the use of health information technology (HIT) and practice facilitation to develop and implement new care processes to improve clinic workflow and ultimately improve patients’ diabetes outcomes at 21 participating smaller, independent clinics.Innovation:Early in the project, we learned that most of the 21 clinics did not have the resources needed to successfully implement quality improvement (QI) initiatives. IC3 helped clinics effectively use data generated from their electronic health records (EHRs) to design and implement interventions to improve patients’ diabetes outcomes. This close coupling of HIT, expert practice facilitation, and Learning Collaboratives was found to be especially valuable in clinics with limited resources.Findings:Through this process we learned that (1) an extensive readiness assessment improved clinic retention, (2) clinic champions were important for a successful collaboration, and (3) current EHR systems have limited functionality to assist in QI initiatives. In general, smaller, independent clinics lack knowledge and experience with QI and have limited HIT experience to improve patient care using electronic clinical data. Additionally, future projects like IC3 Beacon will be instrumental in changing clinic culture so that QI is integrated into routine workflow.Conclusion and Discussion:Our efforts led to significant changes in how practice staff optimized their EHRs to manage and improve diabetes care, while establishing the framework for sustainability. Some of the IC3 Beacon practices are currently smoothly transitioning to new models of care such as Patient-Centered Medical Homes. Thus, IC3 Beacon has been instrumental in creating a strong community partnership among various organizations to meet the shared vision of better health and lower costs, and the experience over the last few years has helped the community prepare for the changing health care landscape.

To control disease, laboratories and providers are required to report conditions to public health authorities. Reporting logic is defined in a variety of resources, but there is no single resource available for reporters to access the list of reportable events and computable reporting logic for any jurisdiction. In order to develop evidence-based requirements for authoring such knowledge, we evaluated reporting logic in the Council of State and Territorial Epidemiologist (CSTE) position statements to assess its readiness for automated systems and identify features that should be considered when designing an authoring interface; we evaluated codes in the Reportable Condition Mapping Tables (RCMT) relative to the nationally-defined reporting logic, and described the high level business processes and knowledge required to support laboratory-based public health reporting. We focused on logic for viral hepatitis. We found that CSTE tabular logic was unnecessarily complex (sufficient conditions superseded necessary and optional conditions) and was sometimes true for more than one reportable event: we uncovered major overlap in the logic between acute and chronic hepatitis B (52%), acute and Past and Present hepatitis C (90%). We found that the RCMT includes codes for all hepatitis criteria, but includes addition codes for tests not included in the criteria. The proportion of hepatitis variant-related codes included in RCMT that correspond to a criterion in the hepatitis-related position statements varied between hepatitis A (36%), acute hepatitis B (16%), chronic hepatitis B (64%), acute hepatitis C (96%), and past and present hepatitis C (96%). Public health epidemiologists have the need to communicate parameters other than just the name of a disease or organism that should be reported, such as the status and specimen sources. Existing knowledge resources should be integrated, harmonized and made computable. Our findings identified functionality that should be provided by future knowledge management systems to support epidemiologists as they communicate reporting rules for their jurisdiction.

Collaborate, translate, and impact are key concepts describing the roles and purposes of the research Centers of Excellence (COE) in Public Health Informatics (PHI). Rocky Mountain COE integrated these concepts into a framework of PHI Innovation Space and Stage to guide their collaboration between the University of Utah, Intermountain Healthcare, and Utah Department of Health. Seven research projects are introduced that illustrate the framework and demonstrate how to effectively manage multiple innovations among multiple organizations over a five-year period. A COE is more than an aggregation of distinct research projects over a short time period. The people, partnership, shared vision, and mutual understanding and appreciation developed over a long period of time form the core and foundation for ongoing collaborative innovations and its successes.

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