The reality of healthcare is that it’s no longer linear nor straightforward—if it ever was. Growing chronic conditions have added complexity to already-complex care processes. Over half of Americans and 37% of adults globally have two or more chronic conditions, and 37% of adults worldwide manage multiple medications. Each additional condition typically adds incremental prescriptions, guidelines, specialists, and monitoring requirements. This requires care teams to coordinate across specialties, continually evaluate potential drug interactions, and manage multifaceted, individualized care plans.
Amid this reality, clinicians are confronting the gray space between applying guideline-driven care to patients and applying precision medicine tailored to those patients—medicine that doesn’t always align with standard guidance. The differentiator for clinicians comes down to having trusted clinical information that can build their confidence in the most complex of scenarios.
Shifting from medication selection to personalized orchestration
Precision medicine is traditionally thought about in terms of genetics, but it’s also about tailoring care plans and medication regimens for individual patients with complex multimorbidity and polypharmacy needs.
This underscores the challenge for clinicians: referencing the standardized guidelines and protocols that apply to care scenarios, which drive efficiencies and take patient trends into account, and the needs of the individual patient in front of them, whose needs may require deep clinical judgment.
That’s the gray area in which today’s clinicians are working. As care increases in complexity, there are spaces where the best available evidence resources can only take clinicians so far before they need to orchestrate personalized plans and medication strategies.
Medication-related harm impacts nearly 1 in 30 patients, so it’s critical that interactions, dosing adjustments, and contraindications are constantly evaluated. Patients may have different adherence challenges—such as distance from a pharmacy or barriers due to economics or transportation—that need to be considered, as well as their own evolving personal preferences. Additionally, as standard guidelines evolve, this may require an evolution in the patient’s medication and care plans.
For patients with multiple chronic conditions, clinicians often aren't choosing between good and bad options. They're balancing recommendations from multiple evidence-based guidelines that may not always align when applied to a single patient. They’re referring to guidelines that may recommend adding a therapy when the medication list is already extensive, or where a potential interaction may be high-risk but necessary. This is when confidence in evidence is most critical.
Managing complex chronic care with AI-powered solutions
As complex care increases, health leaders are looking for solutions to support clinicians making efficient, evidence-based decisions. AI solutions are excellent at identifying trends and patterns and for surfacing vast amounts of evidence, making them helpful tools for guideline-driven care. But it’s the clinician’s expertise, oversight, and judgment that enables them to shape that care to an individual’s specific health context. The right purpose-built AI technologies can help build clinicians’ confidence with the complexity of this gray area, lending reliable information that can guide individualized care.
Reducing medication-related harm requires informed decision-making as clinicians evaluate care plans relevant for the patient’s health and adherence ability. These providers don’t need more information. They need the right clinical and medication intelligence at the right time that connects to the patient’s individual situation, and also empowers the patient to adhere to plans through aligned educational materials.
The right AI solutions help support clinical judgment with trusted, evidence-based information curated and reviewed by practicing experts, that empowers clinicians to effectively navigate complexity: delivering contextualized care grounded in trusted guideline-driven clinical and medication intelligence. They can clearly identify sources and underlying evidence, and reference clinical pathways to help guide clinicians through complex scenarios.
With underlying evidence as the foundation, clinicians can strengthen medication decision support by accessing dosing guidance backed by proprietary medication intelligence and expert grading. Transparent rationale and sourcing helps strengthens providers’ trust, helping them to more efficiently connect polypharmacy management guidance not only to evidence-based clinical intelligence but also to the patient’s specific needs.
Navigating complex care starts with a foundation in evidence
The gray space between individualized and guideline-driven care is where many of the most important clinical decisions are made, making the need for contextualized, evidence-based decision support that much more important.
“Navigating complex care,” the latest UpToDate Point of Care Report, explores this gray space in depth, with a central premise: Making the right clinical decisions for the right patients in complex chronic care management requires AI-powered decision support anchored in reliable clinical intelligence and human oversight.