IMMUNIZE YOUR HEALTHCARE BUSINESS WITH INTELLIGENT AUTOMATION
25+ use cases & examples of automation for Healthcare.
Intelligent Automation in Healthcare
Healthcare is a data-sensitive domain where GDPR is of high importance, and data residency and data privacy are paramount. Yet healthcare facilities and diagnostics have multi-generational siloed systems, which harbor massive amounts of data such that manual data entry is the only option for synchronization. The disintegrated data sets though massive, are standalone and have to be tapped to generate a holistic patient view to deliver a unique patient experience.
Datamatics Intelligent Automation Platform automates processes across the value chain and frees medical caregivers from administrative and operational tasks to focus on medical care administration.
Automation Use Cases in Healthcare
Auto-notify patients of their bill amount considering all variables and receive payments. Reduce payment delays and inaccuracies associated with the calculation of bill amount and effortlessly speed up account settlements.
Integrate existing applications, extract the relevant data, perform bulk payment posting & reconciliation, trigger responses, auto-send payment reminders, and communicate across myriad systems. Reimburse amounts from insurance payers in the appropriate patient accounts in the billing system.
Collaborate between internal and external stakeholders, with data collection from each stakeholder. Combine all these sub-processes into a seamless, centralized process. Auto-billing process helps Medical billing service providers, pass on significant savings to their healthcare provider customers.
Intelligently capture data from forms to speed up the ingestion part of the case management process. Collate and match the data with that from external systems to determine eligibility.
Conduct rigorous checks when new providers apply to join the healthcare network to verify that they have the proper credentials. Pull data from the application and verify from a number of different websites to that the information provided is up-to-date and accurate.
Research, validate, and change the new-born's insurance ID to state-based Medicaid to ensure total care and no gaps. Ensure that the parents do not have to face a heavy financial commitment to services and that they, as well as their new-born, receive all the included benefits of Medicaid.
Streamline the end-to-end process of managing insurance claims. Speed up data processing for insurance claims and eliminate errors. Identify compliance-related exceptions and eliminate non-compliance of regulations.
Integrate information, such as appointment scheduling and data digitization and simplify inventory tracking. Reduce wait time of patients for appointments and provide them with easy access to their health records and bills online thus improving customer satisfaction scores.
Ensure the accuracy of hospital discharge guidelines and send reminders to patients about prescription pick-ups. Notify patients about upcoming appointments and medical tests. Enhance the patient’s experience, provide better healthcare, reduce re-admissions, and thereby improve the hospital's net promoter scores.
Scan patient data to create a report that can be sent to a referral management representative to fix the appointment. Notify patients when doctors are unavailable for their pre-scheduled appointment by tracking the doctor's schedule.
Enable patient self-check-in to reduce effort by 50%, improve turnaround time by two-fold, and improve data quality.
Automate the search and retrieval process for case management documents through a complex set of business rules as per the workflow demands.
Automate the process of receiving and checking the amount earned by nursing staff at hospitals and medical centers and make on-time payments through heavy-duty data processing.
Automate scheduling of the patients’ requests for appointments via video consultations, thereby ensuring 24x7 availability of booking service for patients.
Speed up the tasks related to onboarding potential new hires by 10x and automate processes such as police vetting and previous employment status.
Check the registration status of patients in the existing database and registers new patients. Extract patient history and information of already registered patients.
Automate the check-in and administrative tasks related to queuing and managing testing requests, eliminate human error, and allow digital paperwork to be processed quickly.
Automate and handle increased volume of calls and constant changes in policy related to Healthcare Claims. Streamline and accelerate claims processing by tracing and auditing payments accurately.
Pre-asses claims and evaluate damages using RPA bots. Offer real-time Q&A support to customers. Augment loss analysis to address future claim redressal in a seamless manner. Ensure process compliance. Avail unlimited scalability of tasks processing even during peak hours and peak volumes. Convert unstructured data to structured and usable cross-functional data formats. Lower operations costs. Eliminate repetitive data entry. Auto-download policyholder data from multiple sources.
Verify physician information. Check and review external sources and websites to verify licenses, exclusions, insurance, education, certificates, documents and professional records of the physicians
Automate remote monitoring, case and utilization management, healthcare operations management and inventory management. Enable seamless patient information for all the points of care and ensure timely relay of information to all the concerned stakeholders. Reduce information inaccuracy and provide superior quality of patient care
Access patient appointment lists from healthcare provider’s portal across multiple locations. Mark important appointments for further processing, obtain appointment details by accessing different applications, consolidate all output reports and confirm patient eligibility. Validate and update the eligibility and benefits details in each portal
Generate spreadsheets of billing codes for nursing assessments in emergency departments. Enter every assessment into a batch and automatically post it each night. Time-stamp the spreadsheet for validation. Ensure correct billing by posting patient charges on each day
Submit secondary claims, if necessary, post the calculations pertaining to fee schedules versus actual payment. Automate contractual adjustments and reduce errors
Collect data pertaining to patient’s details, diagnosis and treatment given in the past from the database. Extract and analyze data in order to understand which treatment plan works well for patients, which disease is diagnosed often, what medicines have been effective for patients and what kind of cases are received often
Healthcare R&D work generates high volumes of documents. Auto-ingest unstructured data from paper documents, convert it into a structured format, and integrate it in enterprise ERP and core systems by using intelligent document processing.
High volumes of data is generated during patient onboarding including onboarding forms and existing test reports and results of medical conditions. Use intelligent document processing to auto-extract data from unstructured paper forms and integrate it in the core systems.
Auto-extract the details from periodic and historical test reports by using intelligent document processing and store them in centralized Cloud ECM systems for role-based anytime anywhere access to medical care providers.
Conduct patient experience surveys in detail at pre-defined frequencies and auto-extract details by using intelligent document processing for centralized and role-based access to all stakeholders.
Perform practitioner credentialing in detail with the help of intelligent document processing, artificial intelligence, and robotic process automation. Compare details from practitioner records submitted and the world wide web while recruiting.
Use intelligent document processing and RPA to speed up medical billing. Collect documents and data from all internal and external departments. Combine the data into centralized repositories and automatically generate weekly and consolidated bills to reap significant savings that can be passed on to customers.
Use intelligent document processing and RPA bots to generate medical bill coding for the generation of invoices.
Ensure seamless data extraction and record maintenance of health-related information of patients by using intelligent data processing and RPA. Use the data for analysis using advanced analytics to ensure better care-giving.
Augment the Hospital Information System procedures by using intelligent data processing to extract data from paper documents and integrating the data with major process workflows. The Hospital Information Systems encompass core healthcare systems, financial systems, customer record management systems, communication systems, personnel management systems, medical record management systems, support systems, etc.
Clinical trials to evaluate medical and surgical interventions generate high volumes of data. These procedures are aimed at understanding the effect of drugs and medicines, palliative diet regimes, medical care devices and wearables, etc., on subjects / people and improving these interventions further. Intelligent document processing and RPA bots help to streamline the data capture from paper and integration with the core systems for using analytical methods.
Perform effective case management and deliver efficient patient treatment by ingesting paper-based data into centrally accessed core systems by using intelligent document processing. Collate the data from multiple sources by using RPA bots.
Verify and validate applications and credentials of new healthcare providers who want to onboard the healthcare network. Auto-ingest the data from the application form by using intelligent document processing and cross-verify it from multiple websites by using RPA bots.
Intelligent Automation is a direct function of People-Process-Technology integration.
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Datamatics’ implemented TruBot, their proprietary RPA solution for Policy Eligibility Verification as it has distinct advantages for smooth and accurate verification processes.
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See how TruCap+ ingests unstructured data from a range of documents having different lengths, complexity, and structural templates
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