SERVICES

EPiC HIM takes the end-to-end responsibility of digitizing the IPD and OPD medical records of any stand alone or multi specialty hospital. The Workflow for this unique offering is as follows:

Our solution focuses on:

  • Training students, faculty, life sciences and healthcare professionals on modern technologies and compliance
  • Harnessing healthcare data analytics to optimize operations and enhance outcomes.
  • Real-time oversight and control of processes via a centralized management system
  • Medical Record Digitization
Services in Digital Transformation in Healthcare
Medical Record Digitization

Data Digitization

  • Convert handwritten Clinical Information into an Electronic Form.
  • Extract the meaningful data from the Medical Record & enter it in an application for further processing.
  • Assign appropriate ICD 10 & CPT Codes.
  • Store the data in a secured environment on Cloud Server.
  • 24 x 7 x 365 accessibility of the data for authorized users from Desktop PCs as well as through handheld devices & Cell Phones.
  • Provide Analytics Tool to filter the stored data for generating various reports as well as using the data for internal Training, Research, References & Study.
LMS

Learning Management System

  • Life Sciences Modules: Courses on clinical trials, R&D, compliance (e.g., FDA, EMA, HIPAA), and emerging technologies like AI in drug discovery.
  • Healthcare Modules: Training for clinicians, nurses, and administrators on using digitized systems, patient data management, and compliance.
  • Customizable Content: Organizations can tailor courses to their specific needs.
  • Tracking and Certification: Automated compliance tracking and certification issuance.

Control Tower​

  • Real-Time Monitoring: Dashboards for patient care, clinical trial stages, and operational metrics.
  • Alerting System: Notifications for deviations in compliance, resource shortages, or workflow delays.
  • Actionable Intelligence: Enable leaders to intervene in critical situations promptly.

Data Analytics & Modelling

  • Predictive modelling
  • Optimizing clinical trials (e.g. Patient Recruitment, Diversity & Inclusion)
  • Risk Based Quality Management
  • Enhances drug discovery
  • Streamlines supply chain management.

Leveraging advanced analytics, machine learning, and AI in life sciences companies enables uncovering patterns and forecast outcomes. Data insights empower

  • Strategic data-driven decisions
  • Improve patient care
  • Accelerate development of therapies

Digital Transformation

  • Digital transformation in life sciences industry is redefining organizations to innovate, operate, and deliver value. This enables integrating technologies like AI, cloud computing, IoT, and blockchain, for Pharma, Biotech, vaccine and medical devices companies to enhance drug discovery, clinical trials, and patient engagement, e2e transformation across R&D Life Sciences.
  • Research, Clinical Development, Drug Safety, Regulatory, Supply Chain, Manufacturing, Finance, Business Development & Licencing, Product Portfolio Management & Strategic Portfolio Management.
  • Transformation streamlines processes, improves data accuracy, ensures regulatory compliance, and accelerates time-to-market, ultimately driving better healthcare outcomes and fostering personalized medicine.

Clinical Data Science, RWD & RWE

  • Deeper insights into treatment effectiveness, patient outcomes, and healthcare trends beyond controlled trials to synthetic data.
  • Harnessing diverse datasets and advanced analytics for Pharma, Biotech, Vaccine and Medical Devices companies to make informed decisions.
  • Prioritise or deprioritise clinical trial, improvise and modernise clinical trial designs (Adaptive, Umbrella or Basket), enhance regulatory submissions, and support value-based healthcare delivery.

Key Features and Benefits

  • Accelerated drug development cycles through better-trained teams and predictive analytics
  • Enhanced regulatory compliance and reduced penalties
  • Real-time insights into clinical trial progress and outcomes
  • Continuous professional development for staff.
  • Optimized patient care with data-driven decision-making
  • Improved operational efficiency and resource allocation
  • Lack of Industry requirement and knowledge in Life Science, Healthcare & Data Analytics
  • Lack of knowledge and training faculty
  • Train the trainer for teachers for development of new curriculum
  • Gain expertise and knowledge in domain, soft skills & leadership area
  • Building capability and skills
  • Know the latest about regulatory intelligence & technology