[{"innerBlocks":[],"name":"core\/freeform","postId":242,"blockType":{"name":"core\/freeform","keywords":[],"attributes":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"providesContext":[],"usesContext":[],"selectors":[],"supports":{"className":false,"customClassName":false,"reusable":false},"styles":[],"variations":[],"apiVersion":3,"title":"Classic","description":"Use the classic WordPress editor.","category":"text"},"originalContent":"An automated clinical documentation system is being tested to better facilitate handoffs of patients brought to the emergency department via ambulance.Vanderbilt University Medical Center partnered with the Nashville Fire Department in a feasibility study as part of a $1.7 million research grant from the Department of Defense.\u201cThe specific focus is how to improve patient care and clinical documentation during transport in military and civilian cases,\u201d says project lead Daniel Fabbri, assistant professor of biomedical informatics in the School of Medicine at Vanderbilt University. The Automated Sensing Clinical Documentation system includes sensors that are placed on paramedics\u2019 wrists and forearms, which transmit body motion and muscle activity data in real time that is analyzed to let ED physicians and trauma surgeons know what in-transit medical procedures have been performed on patients.

\u201cAdministering CPR, intubating someone or applying medication all have some signatures in terms of accelerations of the paramedics\u2019 hands that can be used to infer\u2014by analyzing that data\u2014what procedure they are doing at any given point in time,\u201d contends Fabbri.According to Fabbri, the system operates entirely in the background and automatically generates patient care records using machine learning that interprets the signals from the paramedic-worn accelerometers. \u201cTechnology continues to advance,\u201d says Joaquin Toon, Nashville Fire Department EMS quality improvement officer. \u201cTo think that a civilian paramedic or a military medic\u2019s hand and body movements can generate a medical record or alert the hospital of an incoming patient\u2019s condition is phenomenal. Nashville Fire Department was excited to partner with Vanderbilt Emergency Medicine in this research.\u201dThe system was initially tested earlier this year with two Nashville Fire paramedics who worked over several 12-hour shifts during a 12-week period. Fabbri and his team presented results of the feasibility study at last month\u2019s American Medical Informatics Association annual symposium in Washington.Going forward, in addition to motion sensors worn by paramedics, Fabbri\u2019s team plans to ultimately leverage data from video cameras as part of the system.\u201cWe wanted to start out with a small study to assess the technology and see what practical issues might arise, and this work with Nashville Fire proved quite fruitful,\u201d adds Fabbri. \u201cDue to privacy considerations, we did not use video, but our initial findings bode well for the feasibility of our project."","saveContent":"An automated clinical documentation system is being tested to better facilitate handoffs of patients brought to the emergency department via ambulance.Vanderbilt University Medical Center partnered with the Nashville Fire Department in a feasibility study as part of a $1.7 million research grant from the Department of Defense.\u201cThe specific focus is how to improve patient care and clinical documentation during transport in military and civilian cases,\u201d says project lead Daniel Fabbri, assistant professor of biomedical informatics in the School of Medicine at Vanderbilt University. The Automated Sensing Clinical Documentation system includes sensors that are placed on paramedics\u2019 wrists and forearms, which transmit body motion and muscle activity data in real time that is analyzed to let ED physicians and trauma surgeons know what in-transit medical procedures have been performed on patients.

\u201cAdministering CPR, intubating someone or applying medication all have some signatures in terms of accelerations of the paramedics\u2019 hands that can be used to infer\u2014by analyzing that data\u2014what procedure they are doing at any given point in time,\u201d contends Fabbri.According to Fabbri, the system operates entirely in the background and automatically generates patient care records using machine learning that interprets the signals from the paramedic-worn accelerometers. \u201cTechnology continues to advance,\u201d says Joaquin Toon, Nashville Fire Department EMS quality improvement officer. \u201cTo think that a civilian paramedic or a military medic\u2019s hand and body movements can generate a medical record or alert the hospital of an incoming patient\u2019s condition is phenomenal. Nashville Fire Department was excited to partner with Vanderbilt Emergency Medicine in this research.\u201dThe system was initially tested earlier this year with two Nashville Fire paramedics who worked over several 12-hour shifts during a 12-week period. Fabbri and his team presented results of the feasibility study at last month\u2019s American Medical Informatics Association annual symposium in Washington.Going forward, in addition to motion sensors worn by paramedics, Fabbri\u2019s team plans to ultimately leverage data from video cameras as part of the system.\u201cWe wanted to start out with a small study to assess the technology and see what practical issues might arise, and this work with Nashville Fire proved quite fruitful,\u201d adds Fabbri. \u201cDue to privacy considerations, we did not use video, but our initial findings bode well for the feasibility of our project."","order":0,"get_parent":{},"attributes":[],"attributesType":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"dynamicContent":""}]

Documentation system seeks to improve paramedic-ED patient handoffs

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