Healthcare & Life Sciences
We tailor our delivery methodologies to address specific business processes and workflows for our healthcare clients – institutions and companies.
REAL WORLD DATA (RWD) & REAL WORLD EVIDENCE (RWE) RESEARCH
Real world data (RWD) and real world evidence (RWE) are playing an increasing role in health care decisions and the development of new treatments for a wide range of diseases and conditions.
The medical and research communities are using RWD and RWE to inform clinical trial designs and observational studies, and develop decision support systems that improve the quality and reduce the cost of care.
Real world patient data is routinely collected from a variety of sources:
- Electronic health records (EHRs)
- Claims and billing activities
- Disease registries
- Patient-generated data — including in home-use settings
- Mobile devices, wearables, and others
First Line is uniquely positioned to support life sciences companies and healthcare institutions in their RWE research and the usage of RWD. We have years of experience with building and integrating clinical systems and working with health data. This experience includes creating robust processes and methodologies for the extraction, mapping, and cleansing of patient data and transforming it into formats suitable for RWE research. We assemble dedicated teams of analysts, medical informaticians, and engineers who work alongside our client teams.
First Line is a major player and contributor to the Open Source OHDSI community by supporting the OMOP/CDM format and developing several analytical tools that are widely used by the community around the world.
Health Data Management and Governance
Today, provider organizations, researchers, payors, vendors and government entities are heavily dependent on the analytical insights derived from health data. Since this data often comes from a variety of sources, ensuring the quality and cleanliness of the aggregated data is crucial in building meaningful analytics. Yet, companies and organizations often lack the necessary skills, resources and expertise to create a robust data governance structure around their data sources.
Rapid adoption of EHR systems means – more data, and more data usually means - more reporting and analytical processing. These analytical processes are often taxing for the infrastructure and IT resources of an organization.
Most EHR vendors provide some form of support for creating and managing reporting and analytical insights. But they are rarely focused on providing comprehensive tools used to organize analytical assets across all sources and manage the underlying infrastructure.
Aggregating the complete inventory of analytics from all sources into a unified and searchable catalog is a critical step an organization must take in support of Data Governance and infrastructure management efforts. The metadata for each analytical asset in the catalog should include clinical and financial metrics, sources of data, the infrastructure components relied on by the asset, dependencies between assets and many more elements.
Artificial Intelligence and Machine Learning
Innovation in technology, specifically Artificial Intelligence, has opened up significant opportunities for improvement across the care continuum and for control of the skyrocketing costs of care.
Learning algorithms have become more precise and accurate as they interact with training data, allowing humans to gain unprecedented insights into diagnostics, care processes, treatment variability, and patient outcomes.
According to the 2018 World Medical Innovation Forum (WMIF) there are several key areas where AI promises the greatest benefits in Healthcare:
- Bringing intelligence to medical devices and machines
- Monitoring health through wearables and mobile devices
- Using AI to make clinical decisions at the bedside of a patient
- Applying the use of immunotherapy for cancer and rare disease treatment
AI and Machine Learning are also playing an increasingly important role in addressing Health IT challenges, such as:
- Data management and governance
- Infrastructure management
- Natural language processing and text mining
Our team of Data Scientists, Medical Informaticians, and Analysts are helping our clients capitalize on these trends and opportunities.
Systems Development and Integration
From Order Entry to Decision Support, from Medication Administration to Acute Clinical Documentation - First Line was developing and implementing hospital and ambulatory systems well in advance of when major EHR vendors started to gain wide adoption. We’ve been building and integrating these systems and components for prestigious academic medical centers (AMCs), innovative clinicians, and medical software and equipment manufacturers for nearly 20 years.
The types of systems we’ve built are evolving along with transformation of the Health IT landscape. Today we work with and alongside the modern EHR systems rather than developing them – enhancing and expanding functionality through native integration capabilities and custom code development.
Modern EHR systems are powerful and highly complex. This complexity and long release cycles are creating impediments for fast adoption of the latest innovations, improvements in care quality and safety, and expansion of care beyond the boundaries of healthcare institutions. Our customers are visionaries and innovators who don’t want to be bound by the constraints of their existing systems. We are their partner in fulfilling their ambitious goals.
Clinical Quality and Safety Systems
Quality health care generally means adhering to the clinical guidelines and regulations designed to deliver care for the right patient, at the right time, in the right way and to achieve the best possible results. Patient-safety practices protect patients from preventable harm associated with health care services.
Electronic health records (EHR) facilitate higher health care quality and safety improvements compared to paper records. Clinicians however, are looking for more innovative ways to monitor and improve care quality and safety beyond the limits of the EHR vendors.
Care quality measurements are no longer confined to the boundaries of individual patient care institutions. Today the patient care continuum increasingly spans across acute and long-term care facilities, and home settings. These changes call for new ways to monitor care quality and provide safety for the patient.
We at First Line are collaborating with forward-thinking clinicians and researchers on the development of a new generation of quality of safety systems. These systems take advantage of the latest research findings, collect and utilize valuable analytical insights, and seamlessly work with their existing EHR systems.
Clinical Pathways System - Evidence-based Tool in Care Quality Management and Improvement
A clinical pathway is one of the main tools used to manage the quality in patient care concerning the standardization of care workflow and processes. Implementation of the clinical pathways reduces the variability in clinical practice and improves outcomes. Clinical pathways aim to promote organized and efficient care based on evidence-based medicine and aim to optimize outcomes in inpatient and ambulatory settings.Show details
Immunization Repository for a Large Healthcare Delivery System
Our client is one of the largest not-for-profit hospital and physician networks in the United States with over 15,000 providers and over 2 million patients under care.Show details
Bridging the Gaps in Analytical Assets Management at Healthcare Institutions
The healthcare industry is in the process of rapid adoption of electronic health record systems. These systems may be lacking when it comes to managing reporting and analyticsShow details