Anvendelse af kognitiv automatisering i sundheds- og socialsektoren
Der er et stort potentiale i både administrative og kliniske processer indenfor sundheds- og plejesektoren. Hovedårsagen til at vores kunder investerer i automatisering er at skabe flere timer til meningsfuldt arbejde, øge patientsikkerheden og højne kvaliteten. Digital Workforce er den førende udbyder af smart automatisering i sundheds- og plejesektoren i Norden, hvor vi har automatiseret mere end 150 processer. Vi har et dedikeret sundhedsteam, der inkluderer eksperter i medicin, processtyring, robotics og AI. Digital Workforce har CE-certificering af medicinsk udstyr til klinisk procesautomatisering.
Automatisering kan håndtere henvisninger, aftaler, laboratorier, radiologi- og patologi-resultater, eller skabe anmodningsskemaer. Derudover er rapportering, kvalitetssikring, HR, økonomi, og IT-processer målrettet for automatisering. EPJ-ændringer, såvel som patient- og befolkningsrisiko og ressourceanalyse velegnede til RPA.
E-book
Intelligent Automation in Healthcare
5 Client Success Stories of Innovative Healthcare Facilities and Hospitals, who have streamlined their way of working by augmenting their existing human workforce with digital workers.
RPA guide
Increase the return from RPA investments with a pay-as-you-go model
How to implement RPA so that costs correlate with gained business value.
Heatmap for Health and Social Care processes
Automation potential
High
Automation potential
Medium
| Clinical - Referrals, Bookings | Clinical - Lab/Path/Rad data handling | Clinical - Intelligent, Care path and other | Administrative - HR, IT | Administrative - Finance, Logistics | Data & Risk analysis reporting, Research |
|---|---|---|---|---|---|
| Referrals classification, transferring to the right unit | Classification of labpratory/ pathology/ radiology results | Intelligent OCR and NLP patient questionnaire handling | Substitute employee need estimating and ordering | Making service vouchers and commitments for expenditure | Data transfer to quality register from EMR |
| Intelligent referrals classification, transferring to the right doctor | Handling the normal results, making the EMR notes, sending the patient an SMS/ e-letterTES | Intelligent NLP structurising of prescription data | Rota planning automation | Social care financial assis-tance application handling | Official reporting e.g. waiting times |
| Structurised referrals handling – decisions on admission to care and urgency | Following the arrival of results, transferring to the doctor in charge | Care path – questionnaire, lab request form, visit booking, patient information | On/ off- boarding automations | Sales and purchase invoice checking | Risk-/resource analysis on population level |
| Making bookings for consultations and operations | Creating routine lab/radiology request forms | Services management when patient is transferred btw home and hospital | Log analysis and reporting, misuse identification | Delivery order handling | Analyzing EMR notes, identifying patients with a specified risk |
| Checking and handling free consultation times | Checking the results handling | Transferring patient questionnaire data directly to EMR | Data transfers between it- systems | Alignment of orders, purchase invoices and deliveries | Research data collecting and analysing |
Proceseksempler
Nyheder og ressourcer relateret til sundheds- og socialsektoren
