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Coegil in Healthcare

Deliver quality care, control costs, and drive operational efficiency with Coegil.

Before COVID-19, the healthcare industry was already confronting substantial changes from shifting consumer preferences, the rise of technological-inclined competitors, morphing regulations, and new partnerships and M&A activity. On top of that, radical breakthroughs in digital health, preventative care, the emergence of personalized and value-based care, and the rise of novel therapies are transforming this traditionally slow-to-change industry.

The introduction of technological disruptors, like Amazon, will radically accelerate the pace of innovation. Marketshare will go to healthcare providers able to collect and synthesize data from varying sources to move beyond preventative care to offer pre-emptive care.

These forces have produced a flood of data and increased demand from consumers and healthcare decision-makers to use it to improve healthcare outcomes, provide high-quality service, and achieve the holy grail – a holistic, personalized, long-term patient strategy. 

AI-driven Priorities in Healthcare

  • Proactive identification of illness
  • Personalized treatment options
  • Year-round health monitoring
  • In-patient flow management
  • Claims fraud detection

Innovation in Healthcare

Without knowing what the future of healthcare will look like, successful providers must prepare for a fundamental shift in how services are determined, offered, and continuously improved. 

Value-based Healthcare

Healthcare is no longer immune to the pressures to demand value for spend. Consumers require providers to offer more sustainable offerings by improving outcomes while reducing costs. 

Healthcare quality varies widely across regions, hospitals, and between hospital departments. Studies show that the amount of money invested in procedures and systems is not highly correlated to healthcare performance. Evidence reveals avoidable medical complications and medically unnecessary procedures waste these healthcare investments.

Systems to methodically collect, share, and analyze outcome data help clinicians benchmark and compare performance across patient segments and disease categories. Standardized and transparent analytics assist in identifying best practices and steer resources toward interventions with high patient return on investment.

Digital Healthcare Experience

The healthcare industry has been a laggard in digital transformation. However, COVID-19 has driven successful providers to embrace new processes and technologies. Telehealth means providers see 50x to 100x the number of patients in a given month. Remote patient monitoring, outpatient testing, and virtual collaboration have become a cornerstone of the post-COVID practice. Also, the healthcare industry has reevaluated its use of in-person care, allowing for diagnosis and treatment to be delivered remotely and by a hybrid workforce.

To adapt to these changes, providers now use data and analytics to pre-screen patients, assess treatment effectiveness, suggest pre-emptive disease prevention, and provide clinicians with a unified patient book of records available from any location.

Accelerate the Future of Healthcare with Coegil

Coegil helps healthcare providers transform their operations and services overnight by providing an AI Operating System their data-driven teams need to harness the power of their data and know-how. Coegil helps providers modernize and innovate at scale to revolutionize the healthcare experience for their patients.

Coegil delivers a single AI platform that healthcare companies use to create custom solutions providing actionable insights to stay ahead of supply chain disruptions, improve financial performance, and optimize operations.

Patient Disease Propensity

Analyze large patient datasets to identify emerging disease trends and predict patient outcomes from standard and atypical treatment programs to supplement and scale physicians’ diagnoses. AI reduces the risk of sorting through complex medical options and provides another view into potentially overlooked aliments.

Match Staffing to Patient Volume

Forecast future admissions and patient volume using AI models to help administrators appropriately staff for in-person and remote care and ensure resources and equipment are in stock. Consistent use of AI allows providers to develop staffing plans 14 to 30 days in advance, giving staff a better work experience and ensuring facilities provide affordable, high-quality service.

Member Churn Prevention

Determine whether a member or employer will disenroll by predicting in advance. Learn the factors that promote provider loyalty and what drives dissatisfaction. Healthcare providers take advantage of the same AI engines ecommerce titans use to segment customers and create churn forecasts. Enable managers to implement plans to nurture relationships with enterprises having high-premium contributions.

Claims Fraud and Waste

Identify overpayments, risky claims, and other abnormal activity by searching for complex patterns in provider payment systems. Understand the unique factors and their importance to help investigators accelerate their review and recovery process. Stay ahead of fraud and waste by introducing claims screening early in the patient experience.

  • Connected Patient Journeys
  • Personalized Care
  • Streamline Patient Flows
  • Harness Data Across Systems
  • Document Digitization
  • HIPPA-compliant Data Lakes
  • Large Scale Computing
  • 24/7 Support Help Center

 

Trusted AI Partner

Healthcare providers, pharmacies, and other life sciences businesses are unlocking the benefits of a holistic AI strategy with Coegil to establish a solid framework to deliver clear, actionable, and trusted healthcare recommendations.

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