We continue to refine our integration with Electronic Patient Reported Outcomes (ePRO) enabling us to develop algorithms to better meet the clinical needs of patients and quality measures. They provide consultation and technical assistance on federal initiatives and to federal agencies and CHC’s on HIT, data management activities that streamline and improve data capture and reporting processes. Our Data Center collaborates with other departments to provide clinical, financial and productivity data.
The Center quickly developed and implemented technologies in response to COVID-19. As a result, Fenway was able to rapidly pivot to Telehealth to reach some of the most vulnerable populations. We care currently using telehealth for clinical care, research and public health initiatives. We collaborated with a vendor to develop automating the reporting of COVID-19 negative results to patients using text messaging.
The Center worked closely with AthenaHealth, our Electronic Health Records (EHR) vendor, to develop a product called ‘Centricity Now’ that will enable hospitalists and on-call providers to access to patient records wherever they are. We also work with other HIT vendors on initiatives using latest technologies to improve patient communication and health outcomes. For example, Fenway has collaborated on a project developing standards for using FHIR to transmit social determinants of health data. Additionally, we conduct webinars and in-person trainings around the US on SOGI implementation and analyzing outcomes.
The Data team has produced over 75 data analysis sets from our EHR focusing on LGBTQ patients, and continues to advise other EHR vendors on refining their products to meet the needs of the LGBTQIA+ patients. It also collaborates with national and federal partners to develop tools to monitor health outcomes; for example, Fenway worked with NACHC and CDC to evaluate a Hepatitis C Care Cascade. The Center participates in four national data registry projects whose funders include NIH and PCORI. These projects combine de-identified patient data into a shared clinical database to evaluate patient outcomes in real world settings.