Digital Health Ecosystems DIGH 7100

This course focuses on health information system design and evaluation. It introduces health terminology standards, data flows, policy-informed use and usability standards, clinical standards, and best-practice guidelines. The course explores integration and use of computing technologies and biomedical solutions as key enablers to health information system and electronic health record (EHR) access. The course examines key approaches and methods to incorporate the user's perspective in the design and evaluation of health information systems. It explores the similarities, differences, and dependencies of health information systems and data flow within and across organizations and domains (e.g., health-care delivery, public health, personal health, population health). Students learn how the components of a typical enterprise information system function and connect. These components include data storage, applications, networking and communication, as well as user interaction, authorization, roles, and scope. The course introduces the principles of systems thinking and multi-disciplinary approaches and strategies for navigating the unintended consequences of system interventions/implementations. Students examine the system-development lifecycle from the perspective of an EHR company (software engineering, management, support), and from a health system's perspective (implementation, integration, optimization, support). Learners compare and contrast health-care terminology standards and references (e.g., ICD10, LOINC, SNOMED CT, RxNorm) and explore how data-exchange standards and architectural components facilitate system interoperability. The course also explores information system failure modes and mitigation strategies for scheduled and unscheduled system downtime. Also discussed are the health-care ecosystem and the implications to the organization for connecting medical devices into the health information system, both internal (monitors, ventilators, smart pumps) and external (remote patient monitoring, patient-generated data). The course examines data security standards and safeguards, security threat assessment methods and mitigation strategies, and access control. Students also explore key aspects of data governance and standards to build a safer and more secure digital infrastructure founded on quality, trust, and ethical practice.​

Domestic fees

$963.23