Remote Patient Monitoring and wireless sensors technology
Remote patient monitoring (RPM) is the use of mobile communication and information technologies to connect patients and clinicians in order to maintain continuous surveillance of patients and to improve convenience and efficiency (HIMSS, 2013). RPM is used in the outpatient setting for the management of chronic illness and promotion of aging in place. Events can be monitored in real time and can raise alarms when conditions exist that could lead to worsening conditions (HIMSS, 2013). RPM tools consist of sensors, medication adherence tools, and applications on smartphones and tablets.
Sensor technology consists of: implantable sensors, wearable sensors, diabetes monitors, and sensors …show more content…
Unhealthy lifestyle behaviors contribute to CHD and mHealth is helping patients make necessary lifestyle changes necessary to combat the disease. Medication adherence, smoking cessation, diet, and exercise are lifestyle behaviors targeted by mobile technology to help improve health outcomes and reduce hospital admissions caused by heart disease (Pfaeffli Dale, Whittaker, Yannan, Stewart, Rolleston, & Maddison, 2014). Mobile applications help individuals monitor and facilitate healthy lifestyle behaviors and are being adopted as quickly as they can be developed and it is estimated that by 2018 over 3.4 billion users will have downloaded mobile health applications (FDA, 2014). Mobile applications are used to improve medication adherence by sending patients reminders to fill prescriptions and what time to take medications with associated alerts. Wireless technology also exists that allows clinicians to monitor if medications are being consumed properly and keep track of missed doses. Medication noncompliance is one of the biggest factors in hospital readmissions especially among the elderly (Roney, …show more content…
University of Missouri nursing students developed an Aging in Place Program using sensor technology to monitor and record movements of seniors. The program initiated at TigerPlace began with 56 apartments with sensors capable of detecting activities such as going to the kitchen for a snack or leaving the apartment and even monitoring movements in bed (Barker, 2010). The bed sensors can detect pulse and respirations. Stove sensors are used to detect temperature and monitor if members are preparing meals (Rantz, Porter, Cheshier, Otto, Servey, Johnson & Taylor, 2008). They are looking for patterns and changes in behavior that indicate health problems especially with mobility and cognition. This allows illness detection and coordination with healthcare providers. A Centers for Medicaid and Medicare (CMS) funded evaluation of data collected revealed TigerPlace participants had significantly better outcomes in cognition, activities of daily living, pain, and shortness of breath than matched cohorts (Rantz et. al., 2008). According to Rantz, a professor of nursing at University of Missouri, they are able to detect health changes 10 days to two weeks before an event happens. Success of this program was due to multidisciplinary coordination in development of the program and selection of appropriate sensor technology that
Remote patient monitoring (RPM) is the use of mobile communication and information technologies to connect patients and clinicians in order to maintain continuous surveillance of patients and to improve convenience and efficiency (HIMSS, 2013). RPM is used in the outpatient setting for the management of chronic illness and promotion of aging in place. Events can be monitored in real time and can raise alarms when conditions exist that could lead to worsening conditions (HIMSS, 2013). RPM tools consist of sensors, medication adherence tools, and applications on smartphones and tablets.
Sensor technology consists of: implantable sensors, wearable sensors, diabetes monitors, and sensors …show more content…
Unhealthy lifestyle behaviors contribute to CHD and mHealth is helping patients make necessary lifestyle changes necessary to combat the disease. Medication adherence, smoking cessation, diet, and exercise are lifestyle behaviors targeted by mobile technology to help improve health outcomes and reduce hospital admissions caused by heart disease (Pfaeffli Dale, Whittaker, Yannan, Stewart, Rolleston, & Maddison, 2014). Mobile applications help individuals monitor and facilitate healthy lifestyle behaviors and are being adopted as quickly as they can be developed and it is estimated that by 2018 over 3.4 billion users will have downloaded mobile health applications (FDA, 2014). Mobile applications are used to improve medication adherence by sending patients reminders to fill prescriptions and what time to take medications with associated alerts. Wireless technology also exists that allows clinicians to monitor if medications are being consumed properly and keep track of missed doses. Medication noncompliance is one of the biggest factors in hospital readmissions especially among the elderly (Roney, …show more content…
University of Missouri nursing students developed an Aging in Place Program using sensor technology to monitor and record movements of seniors. The program initiated at TigerPlace began with 56 apartments with sensors capable of detecting activities such as going to the kitchen for a snack or leaving the apartment and even monitoring movements in bed (Barker, 2010). The bed sensors can detect pulse and respirations. Stove sensors are used to detect temperature and monitor if members are preparing meals (Rantz, Porter, Cheshier, Otto, Servey, Johnson & Taylor, 2008). They are looking for patterns and changes in behavior that indicate health problems especially with mobility and cognition. This allows illness detection and coordination with healthcare providers. A Centers for Medicaid and Medicare (CMS) funded evaluation of data collected revealed TigerPlace participants had significantly better outcomes in cognition, activities of daily living, pain, and shortness of breath than matched cohorts (Rantz et. al., 2008). According to Rantz, a professor of nursing at University of Missouri, they are able to detect health changes 10 days to two weeks before an event happens. Success of this program was due to multidisciplinary coordination in development of the program and selection of appropriate sensor technology that