Patient Hx - Medical Informatics Corp
Nov 18 16

Patient Hx

michealthcare

Patient Hx


Our Solution

View patient history including vitals and waveforms from 1 second to 1 year on your PC, tablet, or phone

The ability to view a patient’s history and review trends is a difficult task. At best, some medical devices or the EMR will offer “full disclosure” and store some data. However, this data is typically lost once a patient is discharged from the device, is only available for 72 hours, and doesn’t have high fidelity waveforms. It’s also typically limited in viewing specific to each device, which doesn’t enable the trend analysis that is really needed. This presents a real challenge in diagnosis and treatment and can even put patients at risk, especially during a critical event.

PatientHx solves this problem by providing a view of ALL vitals and waveform history from ANY integrated device a patient is connected to. History is available from 1 second to 1 year and can be accessed beyond the bedside from almost any networked PC, tablet, or phone.


  • Target a specific event and see a graphical view of the trend that led to the occurrence
  • Focus on patient care and document later with confidence of knowing all
  • Move signals next to another from any device to see a complete clinical picture and trend
  • View labs and meds to see how they may have impacted the patient
  • Create a snippet of any length of time and send it directly to the EMR
  • Share the URL with other care providers to provide a quick reference to the event
  • Support event adjudication and track process improvements

Other Remote Monitoring Apps

PatMon

View real-time vitals and waveforms from any device… anytime, anywhere

MultiMon

Create your own patient watch list and remotely monitor multiple patients beyond the bedside
Want to see the platform live in action?
“PatientHx provides me with much more information than is available now, in number of measurements and length of timeline. For example, while reviewing one patient, I saw a drop in the patient’s CO2 levels. I added the HR ECG signal into the chart, and saw no drop in that signal, meaning that there was no event for that patient. With the ability to cross reference these measurements against each other, reviewing patient’s physiological records becomes much easier.”