Digital Health Intervention
Digital Health Intervention - Related Videos
01:34
Early Intervention and Pain Management
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2026
All animal procedures described here must be conducted in accordance with institutional animal ethics guidelines and approved by IACUC. All procedures must follow the principles of the 3Rs—Replacement, Reduction, and Refinement—and must be performed by trained personnel. Monitoring Animals for Signs of Pain and Distress Recognizing early signs of pain is essential for ethical animal research. Animals are routinely monitored using behavioral, physical, and physiological parameters that reflect...
01:03
Nursing Interventions I: Taxonomy of Nursing Interventions
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2025
Nursing interventions are chosen as part of the planning process to achieve patient outcomes. Once nursing diagnoses are determined, the goals and outcomes are specified, then the nursing interventions are selected and individualized according to the patient's situation. A nursing intervention is a treatment or action based on scientific concepts and knowledge from the nursing, behavioral, and physical sciences. Identifying and prioritizing nursing interventions based on the desired outcome is...
06:12
Nest Building as an Indicator of Health and Welfare in Laboratory Mice
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Cited by 192 •
2013
We demonstrate the utility of nest building behavior in laboratory mice as an indicator of welfare. Nest scoring is a sensitive technique that is altered by temperature, illness, and aggression. The time to integrate into nest test (TINT) is a simple cage-side assessment that can detect postoperative pain.
05:51
Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
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2025
Wearable technology has low cost and offers convenient monitoring of physiological data. However, the accuracy and reliability of these devices require cautious assessment to ensure their effectiveness and safety for users. This report describes the validation process of a commercial smartwatch in monitoring physiological data and physical activity.
01:29
Nursing Interventions II: Selecting and Classifying the Nursing Interventions
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2023
Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions: Characteristics of the nursing diagnosis Goals and expected outcomes Evidence basis (e.g., research or...
FAQs
Tailored information and reminders adjust what patients receive to their symptoms, treatment needs, or health behaviors. This can make support more relevant than sending identical messages to everyone. In practice, personalization may help patients track symptoms, follow treatment plans, or engage with preventive guidance, while giving the intervention a clearer connection to the individual’s ongoing care.
Connected devices can provide health data from outside the clinic, while digital communication supports reminders, information exchange, and remote clinical interactions. Together, these components help link patient-generated information with clinical attention. Their value lies in making symptoms, treatment adherence, or other tracked information available for review and supporting care that extends beyond scheduled visits.
Usefulness depends on more than the technology itself. Evaluation considers whether patients can use the tool, whether access is equitable, how privacy is handled, and whether the intervention fits routine clinical care. These factors influence participation, the availability of meaningful health data, and the likelihood that clinicians and patients can incorporate the approach into ongoing treatment or prevention.
A typical workflow connects patient engagement with clinical follow-up. The intervention delivers information, reminders, monitoring, decision support, or remote interaction; patients may record symptoms or treatment adherence; and clinicians can receive timely health data. The process is then assessed through clinical outcomes, usability, privacy, accessibility, and its compatibility with routine care.
Clinicians may use these approaches when care benefits from continued support between clinical encounters. Potential purposes include disease prevention, diagnostic support, treatment management, behavior change, symptom tracking, and adherence monitoring. Mobile applications, patient portals, wearable sensors, and telehealth platforms can each support different parts of this work, depending on the information and interaction required.
Evaluation should examine both health effects and implementation conditions. Clinical outcomes indicate whether the intervention supports prevention, diagnosis, treatment, or behavior change, while usability shows how workable it is for patients and clinicians. Researchers should also assess privacy, accessibility, and integration into routine care because strong clinical results may have limited practical value if the approach cannot be used broadly.