If data is the new oil, is ChatGPT the new refinery? Or is it the fire?
For data to be helpful in addressing healthcare’s many problems, then like oil, we need to refine it. Artificial Intelligence (AI) has potential in so many aspects of healthcare, from clinical care delivery to Research and Development, Public Health and policy development. While AI may not replace clinical decision-making, it could dramatically improve the quality of decision making as well as helping provide more empathetic care and patient engagement.
It is clear that for AI to advance and play a bigger role in healthcare will depend on numerous factors, most importantly, GE Healthcare’s recent study highlighted that the trust of providers, patients and health-care professionals in AI-based technologies is vital.
Whether we like it or not, generative AI is surely coming to healthcare, and it can serve as a powerful member of the healthcare team. – if you’re ready to onboard it, understanding its strengths and weaknesses.
Here are four things health providers can do to prepare their systems and care processes to derive the most benefit from LLMs while also avoiding the pitfalls:
1. Bring data together to enable rich insights
AI is only as good as the data it has access to. Every patient interaction and every test result creates a new data point, meaning there is a mountain of data in health that could provide rich insights if harnessed correctly.
The first step in onboarding AI is to unify data and information collected across multiple systems. While that mountain may seem impossible, it isn’t.
Recognising the challenging nature of harnessing data, our Health Intelligence Platform, Orchestral, is purpose-designed and engineered for exactly this. Orchestral is a hub for all data, applications and services in a health system. As well, it can integrate AI and machine learning, thereby revolutionising how healthcare organisations manage and act on data to identify gaps in care and target resources more effectively.
2. Be clear on your specific needs and the benefits you hope to gain.
While industries like financial services are ahead in adopting AI, it doesn’t mean solutions designed for their needs meet the specific needs of healthcare providers and systems.
Technology boffins aren’t immersed in our world, don’t innately understand how health care operates or the necessary guardrails to ensure patient safety and regulatory compliance. Our high-trust healthcare relationships could be compromised by missteps with this technology. To get solutions that will work for you and your patients, the tech must be designed with clear input from people having in-depth, first-hand knowledge and experience of the healthcare environment.
Starting with an intense focus on user-centred design, products such as our Amadeus Digital Care Record, enable organisations to gain the best benefit of software designed to not only satisfy but also to enhance their unique needs. It’s no surprise that in addition to meeting safety and regulatory requirements, AI for healthcare needs to be designed with that same intense end-user focus.
3. Facilitate patient autonomy, participation and empowerment.
Is your organisation ready to put patients in the driver’s seat of their healthcare? Do you have strategies in place to grow your capabilities around patient centered care? In today’s world, patient centric care is an absolute necessity and not a “bolt on” after the fact.
As an extended member of a patient’s care team, AI in partnership with other well established tools such as patient portals providing access to their complete care record, can significantly enhance patient autonomy. This, for example, by providing triage support, symptom checking, essential health advice and guidance.
Tools like Orion Health’s Virtuoso Digital Front Door solution enable patients to participate in most aspects of their healthcare and derive benefits as we introduce and expand the use of AI for better health outcomes.
4. Enhance data governance, security and privacy.
Data security is the foundation of trust between an organisation and its clients. Trust rings especially true for the health industry. Personal health information (PHI) is incredibly personal, at times highly sensitive, and the demands of regulators are rightfully so intense that data security and privacy are paramount.
Using Orchestral’s de-identification tools, healthcare organisations can safely share anonymised patient data while remaining compliant with health privacy legislation including HIPAA and GDPR. This gives healthcare professionals enhanced opportunities to confidently advance healthcare outcomes while the patient’s privacy and trust remain intact.
AI, especially the LLM solutions such as ChatGPT are already impacting and driving change in the way healthcare operates. Wherever you are in the process of onboarding AI, having the right technology is critical to unlocking its potential and refining its use for your healthcare setting