Integrate medical device data into clinical records
In most hospitals and other patient care settings, medical device data is manually entered into an electronic medical record (“EMR”) by clinicians—a time-consuming task that takes time away from the bedside and often leads to transcription errors. This manually-entered data is often hours old by the time it is keyed in and accessible by providers. Delayed data entry coupled with error-prone manual transcription may lead to hospital overstays, costly medical errors, provider dissatisfaction, and suboptimal patient care. What’s worse, fragmentation within medical device and connectivity vendors magnifies the glaring connectivity gap between devices, data, and the patient’s medical record resulting in very few solutions that are truly vendor-agnostic.
Dramatically improve clinician productivity while reducing error-prone, manual transcription
DCX is an extremely flexible software-based offering that facilitates the capture of patient data from nearly any medical device and the delivery of that data to an EMR or any other data repository—quickly and accurately. Leveraging a combination of existing hardware investments—bedside PCs, laptops, tablets and workstations-on-wheels—as well as NantHealth’s HBox® hardware, there are now multiple options for bringing both legacy and new devices online without having to rip-and-replace costly hardware.
Automated capture and storage of medical device parameters reduces the risk of manual data transcription errors.
Vendor-agnostic architecture supports popular end-point systems and our growing library of over 400 medical devices.
Supports consumer and medical grade devices in any setting: hospitals, clinics, ambulatory settings, and even patients’ homes.
Configurable methodologies for the storage of device data into clinical system(s) supporting most client-and EMR-specific requirements.
Accelerates rounding performance by streamlining data validation and providing a touch-based interface to collect custom parameters
Building upon the implementation of DCX’s reliable and near real-time data delivery, NantHealth’s VCX automates the entire vitals collection workflows to make heavy rounding loads more manageable. As medical devices are moved bedside-to-bedside to capture vital signs (e.g., respiratory rate), clinical validation of that data can occur in near real-time at the point of care. Clinicians no longer have to validate captured device data at a workstation and, what’s more, they now have the ability to electronically collect observable patient data not associated with medical devices such as pain scale scores, custom data elements, and patient assessments. Using tablet devices that are readily available to clinicians, VCX provides a mobile view into data collected by DCX, making workflows faster and easier with maximum automation and no manual transcription.
Touch-friendly tablet user interface with “One-click vitals retrieval” enabling the clinician to select “Get Vitals” in order to display the latest data from the paired rounding devices.
Manual entry and override of parameter values allows clinicians to confirm device readings or enter readings not supported by a medical device as well as configurable parameters to customize input fields.
Clinician tracking and auditability thanks to a unique User ID that is tied to data submission and included in the outbound messaging.
Supports vitals collection/rounding workflows as well as patient assessments, including pain scales (e.g. FLACC, FACES) and conscious state assessments (e.g. GCS).
Connects any capable medical device to a wide variety of EMRs without vendor lock-in that would restrict future technology investment. Conforms with IHE profile specifications and capable of supporting multiple message formats including HL7.
Improves patient care
Automated collection and bedside authentication of patient medical device data dramatically reduces the likelihood of errors inherent in manual vitals transcription.
Flexible data collection
Configurable user interface capable of capturing medical device data as well as observations, assessments, and manually-entered parameters.
Increases clinician productivity and satisfaction
Clinicians are more productive, focusing on delivering patient care instead of performing manual administrative tasks and data entry.