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Data is mobilized to track population health outcomes to inform personalized care strategies that support and sustain population health and wellness.
Health and wellness outcomes are proactively tracked at the individual level as well as the population level. Digital tools and dashboards support the management of care transitions, individual feedback informs system “learning” and improvement in performance.

Example: Predictive algorithms identify patients at risk for deterioration in their health. Examples include sepsis, risk of infection following surgery, and risk of heart failure. The algorithm alerts care teams to intervene to prevent infections, sepsis or heart failure before it happens.
Care delivery focuses on keeping people well by proactively intervening to reduce risk using predictive analytic tools.
Health and wellness outcomes are proactively tracked at the individual level as well as the population level. Digital tools and dashboards support the management of care transitions, individual feedback informs system “learning” and improvement in performance.

Example: Procedure trays and patient ID are scanned before a central line is inserted to create a port of chemotherapy. The point of care scan identifies a latex allergy for the patient so that the nurse can remove the latex gloves and ensure the central line catheter is latex free.
Individuals are the primary decision-makers and use digital tools to self-manage their health and wellness.
Personalized digital tools, technologies and platforms support people to self-manage their health and care, supported by meaningful communication with care providers (informal and formal). Individuals and families choose technologies, tools, and care approaches that best suit their personal preferences and unique life circumstances (eg. In person care settings, virtual, online, wearables) to support and enable self-management, access care providers when and where needed.

Example: Patients have a choice of whether they want to have a virtual visit with a clinician team, an in-person visit, or if they prefer to simply text/email with their care team to manage their health and wellness. For example, people managing their COPD can choose to use their smartphone to track risks by receiving automatic alerts when air quality is poor, which may inform their decision not go to work that day as a landscaper because that would place them at risk for exacerbation of their COPD (due to difficulty breathing).
Staff are accountable for supporting care that is personalized to the unique needs, circumstances, and choices of the individual informed by evidence of value and person reported outcomes.
Staff are provided with the digital resources, tools, and training to support person-enabled health and wellness models of care. Staff are accountable for supporting engagement and activation of individuals in managing their health and wellness where care is personalized to their unique needs, circumstances and choices.

Example: Physicians have a personal dashboard that informs them of their performance on engagement of their patients in managing their health and wellness, compared to their peers. There may be incentives or bonuses for physicians who achieve or exceed benchmarks for patient engagement in managing health or improving patient experience.
Organizational strategy and performance outcomes are shared publicly to inform the community of impact and value achieved by the organization or health system.
Organizational strategy, performance outcomes, risk assessments, quality and safety reports with an associated improvement plan are shared publicly to inform the community of health system strategy, outcomes and impact of the organization/health systems.

Example: The health system (organization) reports their quality and safety outcomes to the public. For example, public reports identify prevalence of adverse events, falls, medication errors, infection rates, wait times in ED, patient satisfaction scores, and net promoter scores to the community/population they serve.
Organizational polices are responsive to value for patients, informed by patient participation at all levels of governance, to inform and support digital healthcare systems.
Polices are developed to be responsive to patient's values, perspectives, preferred type of engagement and participation at all levels of governance. Policy design is informed and co-designed by patients, families, community members and caregivers, who participate in the policy development and review processes. Leaders and policy makers collaborate to design the best way for the community to inform strategic outcomes for the organization or system. Patient representatives participate on board of directors and board committees that inform and influence the design of organizational policies.

Example: Patient and community representatives participate on the health system’s Board of Directors, or they participate in board committees such as quality and safety.
Analytic tools at the point of care track individual outcomes to inform care decisions that mitigate health risks and optimize health outcomes.
Prescriptive analytics track health and wellness outcomes at the individual level to inform care decisions to optimize personal health and wellness. Analytics consider multiple sources of data (e.g. clinical data, social, educational, environmental, behavioral, genomic) identifying evidence informed care approaches, potential outcomes, and the risk and probability of outcomes personalized to the unique circumstances of the individual.

Example: A woman who is pregnant can track her weight gain, blood pressure, stress levels, and heart rate from her smartwatch - and her exercise goals using her smartphone. Her app informs her of her progress to ensure she and her baby are healthy throughout the pregnancy. Her data is shared with the Obstetric team automatically who track her progress and call her if there is any change (for example, if her blood pressure increases) that may inform changes in her care routines.
Predictive analytic tools segment the population based on risks and outcomes for population segments to identify the conditions under which best outcomes are achieved, to inform proactive interventions that strengthen population health.
Predictive and prescriptive analytics track population health outcomes and risk to inform the development and deployment of health programs (e.g. preventive health screening, mother and baby health, healthy aging), to advance scalability of evidence based care pathways that advance population health solutions across multiple areas of the organization.

Example: Health system tracks (in real-time) who has received their flu shot and who hasn’t. Cohorts who are at greatest risk of poor outcomes of flu are contacted and appointments are offered online to ensure they get their flu shot.
Analytic tools track operational performance in real time to inform leadership decisions to strengthen quality, safety, and cost outcomes across the organization/system.
Predictive and prescriptive analytics track operational performance outcomes in real time (e.g. staffing models, supplies cost, labour cost, workflow, wait times, adverse events, access to care, care pathway outcomes) for leaders using digital tools/technologies. Performance outcomes tracking inform leadership decisions (e.g. CEO, executive level, and program level), analytics prospectively identifies risks and proactive strategies to reduce risks.

Example: Leaders can access their productivity and efficiency indicators on their smartphone – for example, how many patients are waiting in ED, how many beds are waiting for cleaning, how long patients are waiting to be admitted. Data is updated every 15-30 minutes and leaders can identify operational risks remotely on their smartphone or tablet.
Individuals have access to their personal health records, health system services, educational tools and health navigation tools to support health decisions, navigate access to care and services from their own homes. Includes fully integrated virtual care and remote patient monitoring with intervention.
Every individual has the choice of how they wish to engage with their care providers, virtually, remotely from their own homes, and/or use monitoring tools to track their progress towards health goals. Individuals and families have access to digital tools that support them to self manage their health and wellness.

Example: Patients can send any health information to provider teams remotely (using a smartphone) whenever needed, including their diagnostic imaging reports, blood work results, or biopsy reports. Patients can download apps or tools to help them track their diabetes care and outcomes – for example, blood sugar, blood pressure, wound care, exercise and food intake – which offer recommendations on ways they can improve their outcomes.

Clinicians use secure devices in daily practice routines, to enable collaboration with other clinicians, including secure messaging, consultations, and real time access to patient data, securely managed to protect privacy.
Care team communications leverage an integrated collaboration platform which provides streamlined collaboration, secure messaging, access to real-time patient data and secure, managed endpoints supporting regulatory compliance and privacy goals.

Example: A doctor is at the beside of a patient who has a very strange rash that cannot be explained. The doctor is able to securely message one of their colleagues, a specialist, to collaborate on what may be causing this rash, or what steps should be considered for assessing the patient.
Security breaches and alerts are tracked using machine learning technologies to identify accuracy and risk of alerts, cost to manage breaches, and track compliance with security legislation.
Healthcare organizations can proactively track risk of security breaches, accuracy of security breach alerts, cost to detect and respond to breaches, and compliance with security legislation (HIPAA, Hi-Trust, FDA, GDPR, etc.). Leveraging visibility and analytics to detect anomalies, scalable network segmentation for threat containment, a security posture based on an architectural approach – including threat protection and prevention - aligned to the corporate security risk and privacy position.

Example: An artificial intelligence tool tracks all suspected or real security breaches and “learns” what breaches are most often false positives and which ones are real. Algorithms track prevalence and source of breaches, the outcomes of the breach, and tracks cost of the breach based on staff time required to manage the breach.
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Take the Digital Health Indicator Virtual Assessment and:

  • Gain understanding of where your organization stands in your pursuit of digital health transformation, recommended next steps and information to benchmark your progress against peer organizations.
  • Create a HIMSS Digital Health Indicator Roadmap including interviews, onsite facilitation with your leaders and a customized set of recommendations.
  • Engage with a HIMSS DHI Partner of your choice to execute a comprehensive digital strategy built on trusted consulting frameworks and practices guided by your Digital Health Indicator recommendations.

For DHI Roadmap and Strategy, visit Healthbox to learn more.