Using analytics to integrate physical and mental health in whole-person healthcare

In the realm of healthcare, it is paramount to view physical and mental health as inherently interconnected aspects of wellbeing that have a profound influence on one another. Embracing a comprehensive approach that prioritizes both physical and mental health fosters a holistic understanding of the intricate relationship between the body and mind, leading to better outcomes and improved management of individuals’ overall health.

A patient-centric approach to care is a fundamental piece of healthcare that involves understanding and considering everyone’s unique needs, preferences, values and goals to supply personalized care. When it comes to mental and physical health, patient-centric, whole-person care is absolutely essential.  

Why is this so important?

  1. Understanding the whole person: By prioritizing patient-centric care, healthcare providers can view patients comprehensively, rather than as a disconnected collection of symptoms or conditions. Treating mental health and physical health in isolation may lead to suboptimal outcomes, whereas considering them together allows clinicians to assess the patient’s complete situation. This understanding is essential for developing effective treatment plans that holistically address the patient’s overall health.
  2. Reducing stigma: Patient-centric care creates an environment where patients feel safe and comfortable discussing their mental health concerns. Mental health conditions are often stigmatized, and patients may hesitate to share their experiences if they fear judgment or discrimination. By actively listening to and validating patients’ mental health concerns, providers can foster trust and promote open communication.
  3. Personalizing treatment: Providers who customize treatment plans based on the patient’s unique circumstances, preferences and goals may cultivate better rapport and see better outcomes. For instance, if a patient experiencing chronic pain was also struggling with anxiety—which worsens their discomfort—you might tailor interventions to manage pain and anxiety simultaneously, leading to more effective and comprehensive care.
  4. Empowering patients: In a patient-centric approach to care, healthcare providers collaborate with patients to develop care plans that align with their values and preferences—empowering patients to actively monitor and manage their health from all angles. Involvement in the decision-making processes can also positively affect patients’ treatment adherence and overall well-being.
  5. Promoting resilience: By recognizing the interplay between mental and physical health, healthcare providers can implement preventive measures and equip patients with coping strategies to build resilience. Patients are more likely to achieve sustainable health outcomes when their mental and physical health are treated in tandem, ensuring a higher quality of life over time.

How can analytics help?

  1. Prioritize holistic well-being: There is extensive data on physical and mental health, making analytics an essential tool for efficiently and accurately identifying patterns.  With a clear view of the interplay between physical and mental health, you can use valuable analytics insights to inform treatment decisions and enhance outcomes.
  2. Understand comorbidities: The integration of analytics into healthcare processes allows for better recognition and management of comorbidities. By uncovering the complex relationships between various mental and physical health issues, you can create and apply more targeted interventions rather than addressing the puzzle one piece at a time.
  3. Monitor treatment efficacy: Analytics also enables leaders and providers to track treatment progress and assess the effectiveness of interventions for both physical and mental health conditions. Equipped with data-driven insights, you can find trends, measure outcomes, and make necessary adjustments to treatment plans. This data-driven approach can enhance the efficacy of care, leading to better patient outcomes.
  4. Advance preventative care: Advanced analytics plays a critical role in the early identification of risk factors and the development of preventive strategies for both physical and mental health conditions. With AI, machine learning, and other capabilities working behind the scenes, you can access the information necessary to predict and find individuals at higher risk, enabling proactive care and hopefully reducing the burden of disease.

Set up your patients for success

When you enact whole-person care through advanced analytics, it paves the way for a brighter future in healthcare, where patients’ physical and mental health needs are met with precision, compassion, and effectiveness. If you’re looking for a boost in your analytics strategy and patient outcomes, we’d love to help. Schedule a demo to get started.

David Schweppe

David joined MedeAnalytics in October 2021, bringing more than 30 years of leadership experience in healthcare data, analytics and reporting. He is passionate about finding innovative business and technical solutions that can provide actionable insights to enhance the quality, affordability and value of patient care. In his role, David provides key leadership to the company’s market, product and technology strategies. Additionally, he helps customers identify and implement best in class analytical strategies and solutions to realize the value of informed data-driven decision making.

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