Artificial Intelligence Strategy, Assurance, & Governance
Data is increasingly demonstrating the value of Artificial Intelligence use in healthcare, from diagnostics to clinician support. As with any new technology, provider organizations must understand the full risks of these tools to patients, privacy, and security to ensure new vulnerabilities and compliance risks aren’t being introduced during and after implementation.
First Health boasts leaders with extensive experience with adopting new and innovative technologies in the healthcare setting in a secure and HIPAA-compliant manner.
- Review current governance and compliance policies to identify and recommend needed remedial measures
- Provide recommendations for an effective artificial intelligence strategy to involve risk assurance (governance, security, privacy, compliance, and policy)
- Evaluate current infrastructure to validate capacity and capability of artificial intelligence adoption
- Continual monitoring and support for artificial intelligence tools
Predictive and Generative AI
The use of probabilistic models and other generative AI in the healthcare space can produce a host of benefits, including the potential to improve healthcare outcomes by identifying new treatments and predicting care outcomes. However, in a highly regulated industry like healthcare, the use of advanced technology without the appropriate governance and assurance measures can lead to serious compliance and privacy risks.
First Health can support clients with understanding the many applications of these tools, as well as the measures for ensuring these tools are implemented in a compliant and ethical manner.
- Provide comprehensive AI strategy leveraging a governance model for implementation and execution
- Support programmatic enhancements to streamline governance and business alignment
- Seasoned executive leaders with multi-faceted AI strategy and governance experience
Machine Learning – Natural Language Processing
In recent years, some healthcare organizations have begun using Large Language Models (LLM) for natural language processing (NLP), which scrubs large unstructured data sets to uncover previously missed or improperly coded patient conditions. When used on medical records, these LLM algorithms can uncover disease that may not have been previously coded or hidden patterns in patient reports.
Like all advanced technologies, LLM NLP is not a cure-all for healthcare entities but can support well-established workflows. First Health can support entities support entities with making that determination and ensuring effective, compliant implementation.
- Evaluate current infrastructure to determine uses cases and reveal possible gaps or bloat
- Connect with industry partners to support implementation and proper governance
- Provide 24×7 support and monitoring to maintain privacy and security
5G, Advanced Connectivity, and Edge Cyber
Advanced connectivity is seen as an enabler of continued technical advancements in healthcare delivery. Use of 5G and other technologies can bolster the use of existing technologies or fuel further advancements of novel healthcare applications. Improved technologies are paving the way for the consumerization of healthcare, enabling care wherever patients go for medical care.
This rapidly emerging technology leverages the laws of quantum mechanics to solve challenges too complex for traditional computers. In healthcare, some hospitals are already leveraging Quantum to support disease diagnosis through patient test results and images, while optimization algorithms can detect workflow challenges and possible solutions, find potential fraud, and even encryption for an added level of security.
Blockchain and Digital Assets
Blockchain and other digital assets offer a number of solutions for healthcare entities, from managing the pharmaceutical supply chain to securing patient data. The distributed ledger technology is able to provide the secure transfer or patient data, bolster hospital defenses, and even manage clinical trial data.
First Health can support the evaluation of the current infrastructure to support adoption of these technologies, while providing needed governance, cybersecurity measures, and resources to apply Blockchain and other digital assets in a secure and HIPAA-compliant manner.
The Metaverse may still be in the early development stages, some provider organizations are already leveraging the extended reality tech in a variety of use cases. Augmented reality, virtual reality, and mixed reality, or AR, VR, and MR, can be used in the diagnostic and therapeutic spaces, as well as to support medical training and in support of remote care.