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Sheley, Todd

Mayo Clinic

Mayo Clinic Health System

Citations 2

Development of a shared patient registry for measles exposure management amongst multiple stakeholder groups
Olson, Alyssa, Barth, Jean, Rasmusson, Jenna, Kriewall, Nicole, Kudrna, Cory, Sheley, Todd, Kramer, Tyler, Buckmeier, Jason, OHoro, John, Rasmusson, Jenna, Kriewall, Nicole E, Buckmeier, Jason R., O’Horo, John C.

Antimicrobial Stewardship & Healthcare Epidemiology | July 17, 2026 | Volume: 6 | Issue: S1 | Pages: s189-s189

10.1017/ash.2026.10735 Get It

Background: We had a large-scale measles exposure event affecting 626 patients. Management of exposed patients was urgent, involving quarantine, post-exposure prophylaxis (PEP), and symptom monitoring on a case-by-case basis. Cases were initially tracked and managed using a combination of multiple spreadsheets amongst stakeholders as well as lists within the electronic health record (EHR). Using shared spreadsheets and lists created significant challenges with maintaining and editing multiple copies and updating workbooks simultaneously. Methods: Infection Prevention and Control (IPAC) worked with primary care personnel and EHR developers to create a shared registry that would prioritize communication and follow-up for exposed patients based on age and immunity. Patients are initially added to the shared registry within the EHR by reviewing non-registry reports and tagging patients, identified using exposure timeframes that overlapped with the index measles cases, in a manner that transferred them to the shared registry. From this registry, measles, mumps, and rubella vaccine status can be confirmed, immune status can be identified, and criteria for PEP assigned. High-risk patients are then contacted with recommendations from IPAC and primary care. Communication and follow-up are tracked directly within the shared registry to ensure appropriate patient management. The exposure management registry is further leveraged throughout the measles outbreak timeframe by allowing real-time monitoring of patients that require additional precautions or guidance related to their exposure. Result: The shared registry enhanced documentation accuracy and transparency between stakeholders. It led to availability of real-time status of exposed patients for the duration of the measles outbreak timeframe. Overall, the registry enabled time-sensitive patient communication to all exposed patients and rapid identification of those who needed PEP. Communication could happen rapidly and seamlessly between care teams within the organization, and the necessary information could be shared quickly with public health authorities as required. Conclusion: Large scale exposures are a challenge to manage and ensure appropriate action and communication occurs. Errors can be prevented by having a single shared exposure management registry. A registry enables care teams to quickly identify and prioritize patients for measles follow-up, communication, PEP, and ongoing management across outbreak timeframes. This process reduces both time and operational burdens of exposure follow-up tracking outside of the EHR.
Impact of Telemedicine Monitoring of Community ICUs on Interhospital Transfers*
Pannu, Jasleen , Sanghavi, Devang , Sheley, Todd, Schroeder, Darrell R. , Marquez, Alberto , Brown, Daniel R. , Caples, Sean M., Kashyap, Rahul , Daniels, Craig , Schroeder, Darrell

Critical Care Medicine | May 6, 2017 | Volume: 45 | Issue: 8 | Pages: 1344-1351

10.1097/ccm.0000000000002487 Get It

Objectives: To study the effects of tele-ICU monitoring on interhospital transfers from community-based ICUs to the quaternary care hospital at Mayo Clinic, Rochester, MN. Design: This is a retrospective review of data on interhospital transfers comparing trends prior to tele-ICU implementation to those following implementation. Setting: Tele-ICU programs are increasingly utilized to fill resource gaps in caring for critically ill patients. How such programs impact population and bed management within a healthcare system are not known. Mayo Clinic serves as quaternary referral care center for hospitals in the region within the Mayo Clinic Health System. In August 2013, we implemented tele-ICU monitoring at six Mayo Clinic Health System hospital ICUs. Subjects: All adult ICU admissions during the study period (preimplementation phase: January 1, 2012, to December 31, 2012; and postimplementation phase: January 1, 2014, to December 31, 2014) in any of the six specified community ICUs were included in the study. Measurements and Main Results: Interhospital transfers significantly increased post institution of tele-ICU (p = 0.040) and was attributed primarily to transfer from less specialized ICUs (p = 0.037) as compared with more resource-intensive ICUs (p = 0.88). However, for such patient transfers, there were no significant differences before and after severity of illness scores, ICU mortality, or inhospital mortality. Conclusion: In a regional healthcare system, implementation of a tele-ICU program is associated with an increase in interhospital transfers from less resourced ICUs to the referral center, a trend that is not readily explained by increased severity of illness.