An Infrastructure Framework for Remote Patient Monitoring Interventions and Research.
Jennifer ClaggettStacie PetterAmol M JoshiTodd PonzioEric Steven KirkendallPublished in: Journal of medical Internet research (2024)
Remote patient monitoring (RPM) enables clinicians to maintain and adjust their patients' plan of care by using remotely gathered data, such as vital signs, to proactively make medical decisions about a patient's care. RPM interventions have been touted as a means to improve patient care and well-being while reducing costs and resource needs within the health care ecosystem. However, multiple interworking components must be successfully implemented for an RPM intervention to yield the desired outcomes, and the design and key driver of each component can vary depending on the medical context. This viewpoint and perspective paper presents a 4-component RPM infrastructure framework based on a synthesis of existing literature and practice related to RPM. Specifically, these components are identified and considered: (1) data collection, (2) data transmission and storage, (3) data analysis, and (4) information presentation. Interaction points to consider between components include transmission, interoperability, accessibility, workflow integration, and transparency. Within each of the 4 components, questions affecting research and practice emerge that can affect the outcomes of RPM interventions. This framework provides a holistic perspective of the technologies involved in RPM interventions and how these core elements interact to provide an appropriate infrastructure for deploying RPM in health systems. Further, it provides a common vocabulary to compare and contrast RPM solutions across health contexts and may stimulate new research and intervention opportunities.
Keyphrases
- healthcare
- data analysis
- electronic health record
- case report
- physical activity
- randomized controlled trial
- palliative care
- quality improvement
- primary care
- systematic review
- public health
- end stage renal disease
- mental health
- type diabetes
- chronic kidney disease
- health information
- climate change
- ejection fraction
- prognostic factors
- machine learning
- pain management
- health insurance
- affordable care act
- social media
- weight loss
- artificial intelligence
- contrast enhanced
- chronic pain
- computed tomography
- patient reported
- human health