Surveillance en temps réel des patients avec les appareils Philips IntelliVue

• •Peut nécessiter les informations d'identification d'authentification de l'API cible
• •Informations d'identification Google Sheets API

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  "name": "Real-Time Patient Monitoring with Philips IntelliVue Devices",
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        "jsCode": "// Process different data sources from Philips IntelliVue\nconst inputData = $input.all();\nlet processedVitals = [];\n\n// Process each input source\nfor (const input of inputData) {\n  const data = input.json;\n  let vitals = null;\n\n  // Detect data source and process accordingly\n  if (data.MSH && data.MSH.includes('HL7')) {\n    // HL7 Message Processing\n    vitals = processHL7Message(data);\n  } else if (data.filename && data.filename.endsWith('.csv')) {\n    // CSV Export File Processing\n    vitals = processCSVExport(data);\n  } else if (data.patients || data.deviceId) {\n    // Gateway API Response Processing\n    vitals = processGatewayResponse(data);\n  }\n\n  if (vitals) {\n    processedVitals.push(vitals);\n  }\n}\n\n// HL7 Message Parser\nfunction processHL7Message(hl7Data) {\n  try {\n    const segments = hl7Data.message.split('\\r');\n    let patientInfo = {};\n    let vitalSigns = {};\n\n    segments.forEach(segment => {\n      const fields = segment.split('|');\n      \n      // Patient Identification (PID segment)\n      if (segment.startsWith('PID')) {\n        patientInfo = {\n          patient_id: fields[3] || 'UNKNOWN',\n          patient_name: fields[5] || 'Unknown Patient',\n          room_number: fields[11] || 'N/A'\n        };\n      }\n      \n      // Observation Results (OBX segment for vitals)\n      if (segment.startsWith('OBX')) {\n        const valueType = fields[2];\n        const observationId = fields[3];\n        const value = parseFloat(fields[5]) || 0;\n        const unit = fields[6] || '';\n        \n        // Map Philips observation codes to vital signs\n        switch(observationId) {\n          case 'MDC_ECG_HEART_RATE':\n            vitalSigns.heart_rate = value;\n            break;\n          case 'MDC_PULS_OXIM_SAT_O2':\n            vitalSigns.spo2 = value;\n            break;\n          case 'MDC_PRESS_BLD_NONINV_SYS':\n            vitalSigns.bp_systolic = value;\n            break;\n          case 'MDC_PRESS_BLD_NONINV_DIA':\n            vitalSigns.bp_diastolic = value;\n            break;\n          case 'MDC_TEMP_BODY':\n            vitalSigns.temperature = value;\n            break;\n          case 'MDC_RESP_RATE':\n            vitalSigns.respiration_rate = value;\n            break;\n          case 'MDC_CO2_AWAY':\n            vitalSigns.etco2 = value;\n            break;\n        }\n      }\n    });\n\n    return {\n      ...patientInfo,\n      ...vitalSigns,\n      data_source: 'HL7',\n      timestamp: new Date().toISOString(),\n      device_type: 'Philips_IntelliVue'\n    };\n  } catch (error) {\n    console.error('HL7 parsing error:', error);\n    return null;\n  }\n}\n\n// CSV Export File Parser\nfunction processCSVExport(csvData) {\n  try {\n    const lines = csvData.data.split('\\n');\n    const headers = lines[0].split(',');\n    const latestRecord = lines[lines.length - 2].split(','); // Skip empty last line\n\n    const vitals = {};\n    headers.forEach((header, index) => {\n      const cleanHeader = header.trim().replace(/\"/g, '');\n      const value = latestRecord[index] ? latestRecord[index].trim().replace(/\"/g, '') : '';\n      \n      // Map CSV columns to standard format\n      switch(cleanHeader.toLowerCase()) {\n        case 'patient_id':\n        case 'patientid':\n          vitals.patient_id = value;\n          break;\n        case 'heart_rate':\n        case 'hr':\n        case 'ecg':\n          vitals.heart_rate = parseFloat(value) || 0;\n          break;\n        case 'spo2':\n        case 'oxygen_saturation':\n          vitals.spo2 = parseFloat(value) || 0;\n          break;\n        case 'bp_sys':\n        case 'systolic':\n          vitals.bp_systolic = parseFloat(value) || 0;\n          break;\n        case 'bp_dia':\n        case 'diastolic':\n          vitals.bp_diastolic = parseFloat(value) || 0;\n          break;\n        case 'temp':\n        case 'temperature':\n          vitals.temperature = parseFloat(value) || 0;\n          break;\n        case 'resp_rate':\n        case 'rr':\n          vitals.respiration_rate = parseFloat(value) || 0;\n          break;\n        case 'etco2':\n        case 'co2':\n          vitals.etco2 = parseFloat(value) || 0;\n          break;\n        case 'room':\n        case 'location':\n          vitals.room_number = value;\n          break;\n      }\n    });\n\n    return {\n      ...vitals,\n      patient_name: vitals.patient_id || 'Unknown',\n      data_source: 'CSV_Export',\n      timestamp: new Date().toISOString(),\n      device_type: 'Philips_IntelliVue'\n    };\n  } catch (error) {\n    console.error('CSV parsing error:', error);\n    return null;\n  }\n}\n\n// Gateway API Response Parser\nfunction processGatewayResponse(apiData) {\n  try {\n    // Handle different API response formats\n    const patients = apiData.patients || [apiData];\n    const patient = patients[0] || apiData;\n\n    return {\n      patient_id: patient.patientId || patient.id || 'UNKNOWN',\n      patient_name: patient.name || patient.patientName || 'Unknown',\n      room_number: patient.room || patient.location || 'N/A',\n      heart_rate: patient.heartRate || patient.hr || 0,\n      spo2: patient.spo2 || patient.oxygenSaturation || 0,\n      bp_systolic: patient.systolicBP || patient.bpSys || 0,\n      bp_diastolic: patient.diastolicBP || patient.bpDia || 0,\n      temperature: patient.temperature || patient.temp || 0,\n      respiration_rate: patient.respirationRate || patient.rr || 0,\n      etco2: patient.etco2 || patient.co2 || 0,\n      data_source: 'Gateway_API',\n      timestamp: patient.timestamp || new Date().toISOString(),\n      device_type: 'Philips_IntelliVue',\n      device_id: patient.deviceId || apiData.deviceId || 'UNKNOWN'\n    };\n  } catch (error) {\n    console.error('Gateway API parsing error:', error);\n    return null;\n  }\n}\n\n// Return all processed vitals\nreturn processedVitals.filter(v => v !== null).map(vital => ({ json: vital }));"
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        "toEmail": "nursing-{{ $json.room_number }}@hospital.com, oncall-physician@hospital.com",
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        "content": "## 📊 Google Sheet Structure:\n### Columns: patient_id, patient_name, room_number, timestamp, ecg_heart_rate, spo2_oxygen_saturation, nibp_systolic, nibp_diastolic, temperature_celsius, respiration_rate, etco2_end_tidal, cardiac_output, alert_level, alerts, device_status"
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