KardiaCure

KardiaCure

Advanced Technology

An integral part of KardiaCure is its technology that integrates tools, care, and records in one space for patients and physicians. With it, the entire outpatient experience is streamlined into an easy platform. As a result, treatment plans can be monitored and health outcomes can be improved.

The KardiaCure App - In Development

The KardiaCure app is designed to improve health equity and health outcomes in patients that would most benefit from interventions tailored to their own specific risk profiles. Patients can schedule appointments through the app, and physicians use the app to collaborate on treatment plans. The app is designed to use an individualized patient-centered approach to deliver the right care at the right time. 

Description of screenshot

Description of screenshot

Description of screenshot

Description of screenshot

Mobile App Features

Evidence Based Treatment Plans

With evidence-based treatment plans tailored to reduce individual patient risk, as well as collaboration with all involved healthcare professionals, patients will receive health plans customized to their needs to enhance their care and their health journey. Patients and physicians will be able to monitor treatment plans and ensure treatments are tailored to patients' risks.

Risk-Based Coordinated Scheduling

The app is designed to organize physicans schedules so that patients can be seen by all necessary physicians within one visit and schedule based on individuals' risks.

Communication

Through the app, patients can communication with physicians, ask questions, and provide updates

Efficient Record-Keeping

The app keeps all the patients' medical records in one place so the physicians are always aware of new information.

Patient-Centered Care

Healthcare professionals will be able to connect with their patients from anywhere at any time. Visits can be done virtually or in the KardiaCure facility to accommodate the patient’s needs. Driving better health outcomes and meaningful patient relationships, our app will help patients have a seamless healthcare experience that fosters trust, satisfaction, and faster treatment.

Improved Patient Outcomes

Comprehensive coordinated care will improve patient outcomes. Targeted therapies to impact patient risks will automatically populate the patients’ files for consideration and implementation. This will help both patients and practitioners focus on the most proven and cost-effective treatments to improve the quality of healthcare delivered. 

Seamless Experience

From collaborative care to customized health plans, the KardiaCure app will also serve as a GPS navigation system that will help patients move through the KardiaCure Facility with ease. Taking patients from start to finish, the technology is designed to make their healthcare experience easier and less stressful.

Our Healthcare Strategies Need More Targeted Logical Care

Risk-Based Coordinated Scheduling (RCS) of healthcare interactions is required to address systemic health inequity, health system function and to improve patient outcomes. 

The goal of any healthcare system is to improve patient outcomes and overall public health. Unfortunately, significant disparities remain in accessing and implementing care in populations that are at highest risk for adverse outcomes. Lessons learned from the recent COVID-19 pandemic shows that our acute healthcare systems are fragile and can be easily overburdened. In the absence of addressing significant persistent systemic health inequities, healthcare systems will continue to experience significant burdens with regards to emergency room utilization, hospital admissions, and critical care services.

Appropriate and timely access to health services and care for those who require it most remains suboptimal with significant effects on health outcomes leading to unnecessary morbidity and mortality and over-utilization of expensive acute care services.

Studies continue to show that the uptake of evidence-based therapies to improve health outcomes is also suboptimal, particularly in socioeconomically disadvantaged populations.  Even in more affluent communities, the aging population, and associated increased comorbidity levels, require improved strategies to ensure evidence-based therapies are maximally implemented. 

Risk-based coordinated scheduling (RCS) is required to address persistent health inequities and optimal treatment uptake across all populations, in both acute and chronic illness management. The strategy of incorporating standardized individualized risk scores to determine appropriate site, immediacy and frequency of healthcare interactions and interventions will allow more appropriate resource allocation to affect positive outcomes. This will ultimately improve overall public health and health system function.

For decades, the traditional practice of outpatient medicine has created siloed care with patients visiting multiple different physicians at different sites, each focused on isolated components of care creating significant challenges in appropriate communication and coordination of care.

This can often lead to duplication of investigation and services leading to extra expense to patients with multiple and often excess isolated interactions within the outpatient healthcare system, that are often poorly coordinated to the detriment of the wholistic management of patients. This affects patients with multiple co-morbidities disproportionately. It also is inefficient from a time perspective, particularly for patients with multiple providers. Patients often need to book follow up to clarify things between providers and delay the implementation of plans pending review amongst all care providers.

Not all individuals being treated for derangement in a specific physiological system have the same risk of a poor outcome because of their specific disease condition.  In addition, many patients have multiple vascular-related co-morbidities (cardiac, renal, endocrine etc.) that can markedly elevate their risk for a poor outcome. However, patients with similar comorbidity system categories may have markedly different overall risks for a poor outcome, including emergency room use, hospitalization, or death. Very often patients with multiple comorbidities can deteriorate in between interactions with healthcare providers and end up in emergency rooms, requiring hospital admission, and incurring significant personal costs, as well as costs to the healthcare system. These patients often are scheduled to see their outpatient healthcare providers in a non-standardized way that depend on numerous factors unrelated to patients needs. These include, but are not limited to, physician patient load, office schedules and/or limited bookings available, patient waiting lists, physician vacation times and physician hospital- based responsibilities that make them unavailable for outpatient care.  

If we are truly interested in improving outcomes for complex patients who are at the highest risk of emergency room and acute care utilization, there must be a shift in focus to individualized risk-based coordinated scheduling (RCS) of interactions in the outpatient healthcare setting focusing on continuity and coordination of care. This strategy has great potential to improve cost effectiveness of the finite resources in healthcare systems as well. Tailoring resources and care to individualized patient risks is necessary to improve equitable and inclusive access to care within communities.

Currently, there is no standardized way to assess the patient’s total overall risk nor individual physiologic system risk for a poor outcome to determine priority system assessments. It is our position that using both standardized total overall risk and system specific risks to guide the scheduling of interactions with healthcare providers will optimally direct resources to those who would benefit the most from them.

Risk-Based Coordinated Scheduling of Healthcare Interactions

A standardized formula and algorithm and an application has been developed to quantify a patients individualized untreated total overall risk score (TOR), comorbidity score (COM) and system priority acuity score (SPA). This algorithmic process is then used to determine optimal frequency of scheduling healthcare interactions with the priority health care providers, based on SPA factors and TOR scores identified through the algorithm. Importantly, algorithm incorporates both acute care and homeostatic factors as well as chronic disease system management. Comprehensive evidence-based system priority acuity (SPA) factors which are modifiable are then linked to treatment priority attenuation (TPA) factors to create a priority treatment index (PTI) for each patient.  This allows the calculation of the percentage of non-duplicative evidence-based therapies that can improve that patient’s outcome that have been implemented, and equally importantly, those that have not. The uptake of these treatment priority attenuation (TPA) factors then modifies the patient’s risk of adverse events in a positive fashion and creates a modified total overall risk (mTOR) score and thus a modified frequency and priority of healthcare interactions. The described process is an algorithm that is an intelligent system that adapts according to new evidence-based parameters implemented in patient data profiles. This enables continual adjustment to reflect the patient’s most up-to-date risk status based on real time changes and intervention.  

The result is a constant positive feedback loop based on the implementation of evidence-based intervention that reduce risks of adverse events with the goal of better care with less visits.

System Integration

A shift in focus from treating isolated problems to a systems-based integrated care model is necessary to fostering a shift to holistic care of the overall patient.

The standardization of patient risk within affected systems is essential to gain a better overall understanding of individual patient likelihood of adverse events and to address therapeutic inertia. This allows for both the patient and practitioner to be appropriately vigilant with regards to instituting evidence-based therapies.  

Medical practitioners and patients have not traditionally focused on viewing a patient from the lens of quantifying individual system risk as well as a patient’s total overall risk from the totality of their health problems. This information is essential in guiding decision-making regarding health care interaction, intervention, and resource allocation. 

Within each physiologic system are system priority acuity (SPA) factors that amplify a patient’s risk of a poor outcome. These factors have varying levels of evidence associated with them. Current systems do not specifically list or quantify risk amplification factors within systems, nor do they look at the totality of risk due to multi system risk factor assessment, in guiding healthcare decisions.

Within the algorithms developed are systems that include both acute care and chronic management. Some examples of systems used within the algorithms include but are not limited to the following:

  • Acute Care Systems
  • Acute Signs and Symptoms
  • Homeostasis Indicators
  • Chronic care Systems
  • Primary care
  • Cardiac
  • Vascular
  • Renal
  • Neurologic
  • Endocrine and Metabolic
  • Pharmaceutical
  • Allergy and Immunology
  • Hematology and oncology
  • Psychosocial
  • Pulmonary
  • Gastrointestinal
  • Musculoskeletal


Within each system are identified evidence-based system, system priority acuity (SPA) factors that amplify the patient’s risk if these factors are present within their individual profile. An illustrative example is listed below:

Cardiac SPA Factors

  • Heart Failure with poor ejection fraction
  • Myocardial Infarction
  • Dyslipidemia
  • Diabetes
  • Hypertension
  • Cardiac dysrhythmia


Each SPA factor will be listed as modifiable or unmodifiable in the algorithm and have an assigned weight based on the priority level of evidence associated with defined poor outcome measures.

Bridge the Health Equity Gap

It is our shared responsibility to ensure equal access to quality healthcare for everyone. By matching healthcare resources to individual patient risks, standardizing treatment plans, and reducing costs, there will be improved healthcare access for those that need it most. 

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