In this webinar, our expert panelists address the challenges and opportunities associated with sensors and wearables in clinical research—and how sponsors and study teams can incorporate these instruments to maximize the signal-to-noise ratio, increase patient comfort, and generate stronger, more robust evidence. Download the webinar summary and key takeaways in PDF format by filling out the form below.
Over the past few years, we’ve seen the progression from pen and paper to remote and digitized data capture. We’ve also seen the shift from an exclusive focus on clinical inputs to the incorporation of the patient voice. Are sensors and wearables the next evolution?
From pulse oximeters’ remote detection of oxygen levels in COPD patients to accelerometers’ measurement of hand stability in Parkinson’s patients, the use of remote sensors and wearables is enabling continuous, unobtrusive data collection and monitoring that decreases burden on patients while providing more objective data reflective of their real-world experiences.
But, how can we be sure that sensor readings—even when carefully validated, calibrated, and monitored—reflect how patients are truly feeling and functioning? Take fatigue, for example: A sleep monitor may indicate that a patient has had a long sleep cycle. That same patient may provide a subjective report the next morning stating they feel exhausted. Each of these data points offers up important information, so how do we balance the two in the context of drug development?
How do sponsors ensure that wearable measurements are not just accurate but also meaningful to patients? What should be done when sensor and ePRO data contradict each other?
In this session, our panelists take the audience on the journey of digital data capture, from eCOA to wearables, and discuss key considerations, including:
This webinar offers a unique opportunity to gain critical insights into the selection and integration of fit-for-purpose digital instruments, as well as how to ensure accurate data collection in ways that maximize the signal-to-noise ratio and patient comfort.
Over the past few years, we’ve seen the progression from pen and paper to remote and digitized data capture. We’ve also seen the shift from an exclusive focus on clinical inputs to the incorporation of the patient voice. Are sensors and wearables the next evolution?
From pulse oximeters’ remote detection of oxygen levels in COPD patients to accelerometers’ measurement of hand stability in Parkinson’s patients, the use of remote sensors and wearables is enabling continuous, unobtrusive data collection and monitoring that decreases burden on patients while providing more objective data reflective of their real-world experiences.
But, how can we be sure that sensor readings—even when carefully validated, calibrated, and monitored—reflect how patients are truly feeling and functioning? Take fatigue, for example: A sleep monitor may indicate that a patient has had a long sleep cycle. That same patient may provide a subjective report the next morning stating they feel exhausted. Each of these data points offers up important information, so how do we balance the two in the context of drug development?
How do sponsors ensure that wearable measurements are not just accurate but also meaningful to patients? What should be done when sensor and ePRO data contradict each other?
In this session, our panelists take the audience on the journey of digital data capture, from eCOA to wearables, and discuss key considerations, including:
This webinar offers a unique opportunity to gain critical insights into the selection and integration of fit-for-purpose digital instruments, as well as how to ensure accurate data collection in ways that maximize the signal-to-noise ratio and patient comfort.
In this webinar, our expert panelists address the challenges and opportunities associated with sensors and wearables in clinical research—and how sponsors and study teams can incorporate these instruments to maximize the signal-to-noise ratio, increase patient comfort, and generate stronger, more robust evidence. Download the webinar summary and key takeaways in PDF format by filling out the form below.
Over the past few years, we’ve seen the progression from pen and paper to remote and digitized data capture. We’ve also seen the shift from an exclusive focus on clinical inputs to the incorporation of the patient voice. Are sensors and wearables the next evolution?
From pulse oximeters’ remote detection of oxygen levels in COPD patients to accelerometers’ measurement of hand stability in Parkinson’s patients, the use of remote sensors and wearables is enabling continuous, unobtrusive data collection and monitoring that decreases burden on patients while providing more objective data reflective of their real-world experiences.
But, how can we be sure that sensor readings—even when carefully validated, calibrated, and monitored—reflect how patients are truly feeling and functioning? Take fatigue, for example: A sleep monitor may indicate that a patient has had a long sleep cycle. That same patient may provide a subjective report the next morning stating they feel exhausted. Each of these data points offers up important information, so how do we balance the two in the context of drug development?
How do sponsors ensure that wearable measurements are not just accurate but also meaningful to patients? What should be done when sensor and ePRO data contradict each other?
In this session, our panelists take the audience on the journey of digital data capture, from eCOA to wearables, and discuss key considerations, including:
This webinar offers a unique opportunity to gain critical insights into the selection and integration of fit-for-purpose digital instruments, as well as how to ensure accurate data collection in ways that maximize the signal-to-noise ratio and patient comfort.
Over the past few years, we’ve seen the progression from pen and paper to remote and digitized data capture. We’ve also seen the shift from an exclusive focus on clinical inputs to the incorporation of the patient voice. Are sensors and wearables the next evolution?
From pulse oximeters’ remote detection of oxygen levels in COPD patients to accelerometers’ measurement of hand stability in Parkinson’s patients, the use of remote sensors and wearables is enabling continuous, unobtrusive data collection and monitoring that decreases burden on patients while providing more objective data reflective of their real-world experiences.
But, how can we be sure that sensor readings—even when carefully validated, calibrated, and monitored—reflect how patients are truly feeling and functioning? Take fatigue, for example: A sleep monitor may indicate that a patient has had a long sleep cycle. That same patient may provide a subjective report the next morning stating they feel exhausted. Each of these data points offers up important information, so how do we balance the two in the context of drug development?
How do sponsors ensure that wearable measurements are not just accurate but also meaningful to patients? What should be done when sensor and ePRO data contradict each other?
In this session, our panelists take the audience on the journey of digital data capture, from eCOA to wearables, and discuss key considerations, including:
This webinar offers a unique opportunity to gain critical insights into the selection and integration of fit-for-purpose digital instruments, as well as how to ensure accurate data collection in ways that maximize the signal-to-noise ratio and patient comfort.
Over the past few years, we’ve seen the progression from pen and paper to remote and digitized data capture. We’ve also seen the shift from an exclusive focus on clinical inputs to the incorporation of the patient voice. Are sensors and wearables the next evolution?
From pulse oximeters’ remote detection of oxygen levels in COPD patients to accelerometers’ measurement of hand stability in Parkinson’s patients, the use of remote sensors and wearables is enabling continuous, unobtrusive data collection and monitoring that decreases burden on patients while providing more objective data reflective of their real-world experiences.
But, how can we be sure that sensor readings—even when carefully validated, calibrated, and monitored—reflect how patients are truly feeling and functioning? Take fatigue, for example: A sleep monitor may indicate that a patient has had a long sleep cycle. That same patient may provide a subjective report the next morning stating they feel exhausted. Each of these data points offers up important information, so how do we balance the two in the context of drug development?
How do sponsors ensure that wearable measurements are not just accurate but also meaningful to patients? What should be done when sensor and ePRO data contradict each other?
In this session, our panelists take the audience on the journey of digital data capture, from eCOA to wearables, and discuss key considerations, including:
This webinar offers a unique opportunity to gain critical insights into the selection and integration of fit-for-purpose digital instruments, as well as how to ensure accurate data collection in ways that maximize the signal-to-noise ratio and patient comfort.
In this webinar, our expert panelists address the challenges and opportunities associated with sensors and wearables in clinical research—and how sponsors and study teams can incorporate these instruments to maximize the signal-to-noise ratio, increase patient comfort, and generate stronger, more robust evidence. Download the webinar summary and key takeaways in PDF format by filling out the form below.
Over the past few years, we’ve seen the progression from pen and paper to remote and digitized data capture. We’ve also seen the shift from an exclusive focus on clinical inputs to the incorporation of the patient voice. Are sensors and wearables the next evolution?
From pulse oximeters’ remote detection of oxygen levels in COPD patients to accelerometers’ measurement of hand stability in Parkinson’s patients, the use of remote sensors and wearables is enabling continuous, unobtrusive data collection and monitoring that decreases burden on patients while providing more objective data reflective of their real-world experiences.
But, how can we be sure that sensor readings—even when carefully validated, calibrated, and monitored—reflect how patients are truly feeling and functioning? Take fatigue, for example: A sleep monitor may indicate that a patient has had a long sleep cycle. That same patient may provide a subjective report the next morning stating they feel exhausted. Each of these data points offers up important information, so how do we balance the two in the context of drug development?
How do sponsors ensure that wearable measurements are not just accurate but also meaningful to patients? What should be done when sensor and ePRO data contradict each other?
In this session, our panelists take the audience on the journey of digital data capture, from eCOA to wearables, and discuss key considerations, including:
This webinar offers a unique opportunity to gain critical insights into the selection and integration of fit-for-purpose digital instruments, as well as how to ensure accurate data collection in ways that maximize the signal-to-noise ratio and patient comfort.
In this webinar, our expert panelists address the challenges and opportunities associated with sensors and wearables in clinical research—and how sponsors and study teams can incorporate these instruments to maximize the signal-to-noise ratio, increase patient comfort, and generate stronger, more robust evidence. Download the webinar summary and key takeaways in PDF format by filling out the form below.
Over the past few years, we’ve seen the progression from pen and paper to remote and digitized data capture. We’ve also seen the shift from an exclusive focus on clinical inputs to the incorporation of the patient voice. Are sensors and wearables the next evolution?
From pulse oximeters’ remote detection of oxygen levels in COPD patients to accelerometers’ measurement of hand stability in Parkinson’s patients, the use of remote sensors and wearables is enabling continuous, unobtrusive data collection and monitoring that decreases burden on patients while providing more objective data reflective of their real-world experiences.
But, how can we be sure that sensor readings—even when carefully validated, calibrated, and monitored—reflect how patients are truly feeling and functioning? Take fatigue, for example: A sleep monitor may indicate that a patient has had a long sleep cycle. That same patient may provide a subjective report the next morning stating they feel exhausted. Each of these data points offers up important information, so how do we balance the two in the context of drug development?
How do sponsors ensure that wearable measurements are not just accurate but also meaningful to patients? What should be done when sensor and ePRO data contradict each other?
In this session, our panelists take the audience on the journey of digital data capture, from eCOA to wearables, and discuss key considerations, including:
This webinar offers a unique opportunity to gain critical insights into the selection and integration of fit-for-purpose digital instruments, as well as how to ensure accurate data collection in ways that maximize the signal-to-noise ratio and patient comfort.
How do increasingly prevalent DCT methods fit into the existing clinical trial ecosystem? In short: There are complexities. Many eClinical platforms still lack key capabilities, which often require complex integrations with third-party solutions.
How do increasingly prevalent DCT methods fit into the existing clinical trial ecosystem? In short: There are complexities. Many eClinical platforms still lack key capabilities, which often require complex integrations with third-party solutions.