Cannsult Inc | Business Consulting Services & Lean Certifications

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Healthcare Consulting

Healthcare  and the Cannsult Value Proposition 

Cannsult Understands Healthcare

The healthcare industry, on both the Provider and Payor side, faces numerous challenges that demand constant attention, creativity, and innovation. One of the major challenges is the rising cost of healthcare, which puts significant strain on individuals, insurance companies, and governments. In addition, the rapid pace of medical technology presents the industry with the sometimes contradictory goals of embracing cutting-edge treatment options with accessibility and affordability. A less recognized challenge is the increasing prevalence of chronic diseases and aging populations, placing a significant burden on healthcare systems, which requires long-term management strategies. 

Understanding the Impact of Technology and AI on Healthcare

The impact of technology and AI on healthcare has been transformative, revolutionizing various aspects of the industry.

Improved Diagnosis and Treatment

AI algorithms are able to analyze medical images (such as X-rays, CT scans, and MRIs) to assist healthcare professionals in determining an accurate diagnosis. Machine learning models can learn from vast datasets to identify patterns and anomalies that may be difficult for humans to detect. AI-powered diagnostic tools have shown significant promise in detecting the most common diseases such as cancer and heart disorders, leading to earlier interventions and improved patient outcomes.

Personalized Medicine

AI has the ability to analyze large datasets, including genomic data, patient history, and clinical trial data, to identify personalized treatment plans. AI algorithms can consider individual characteristics in order to predict patient responses to specific medications, assisting healthcare providers prescribe more tailored and effective treatment options.

Remote Patient Monitoring

Technology allows for remote monitoring of patients’ vital signs, which allows healthcare professionals to keep track of patient health status outside of traditional healthcare settings. Wearable devices (like smartwatches and fitness trackers) can monitor factors such as heart rate, blood pressure, and sleep patterns. This data can be transmitted to healthcare providers, who can intervene if any anomalies or health risks are detected.

Data Management

Technology enables healthcare providers to store, access, and manage vast amounts of patient data more efficiently. Electronic Health Records (EHRs) allow for digital storage of patient information, ensuring accessibility, accuracy, and easy sharing of data among healthcare professionals. This improves the speed and coordination of care, reduces errors, and enables faster decision-making.

Streamlined Administrative Processes

Technology and AI streamline administrative tasks in healthcare (such as appointment scheduling, billing, and insurance claim processing). Automated systems reduce paperwork, greatly improve efficiency and quality, and free up time for healthcare providers to focus on patient care. ​

Drug Discovery and Development

AI algorithms can analyze vast amounts of scientific literature and research data to aid in drug discovery and development. By identifying patterns and relationships, AI can accelerate the identification of potential drug candidates, predict drug toxicity, and optimize clinical trial designs, potentially reducing the costs and time required for bringing new drugs to market.

Improved Patient Engagement and Education

Technology provides a much better way for patients to access health information, educational resources, and virtual support communities. Mobile applications and online platforms provide opportunities for patients to actively participate in their own care, monitor their health, and access personalized advice.

How we work with you to improve your organization


Discovery and Planning


Prepare Leaders and Infrastructure


Implement Daily Problem-Solving


Root Cause Analysis Projects

Discovery and Planning

  • Understand the organization. (Type of Manufacturing, Customer/Market, Company History, Org Structure)
  • Understand your organizational goals.
  • Understand current challenges and risks facing your organization.
  • Meet the team and understand resource constraints.
  • Prepare a high-level plan including scope, timeline, resources required, and expected ROI.
  • Solidify Statement of Work.

Prepare Leaders and Infrastructure

  • Understand current infrastructure to support improvements. (if any)
  • Identify internal Continuous Improvement Lead(s).
  • Meet with each Departmental or Business Unit Leader. (in scope)
  • Perform an initial Assessment to identify opportunities and to be used as a baseline.
  • For each Department/Business Unit:
    •  Create a high-level process map.
    • Identify KPIs. (aligned with Organizational goals)
    • Establish Visual Performance Management. (A graphical representation of KPIs)
    • Perform a Gap/Opportunity Assessment.
  • Prioritize Gaps and Opportunities.
  • Provide training to leaders (Sponsors, Champions) who will be supporting the Improvement Teams. (2-day training)
  • Provide stakeholder training; a high-level overview of the method, tools, and terminology to ensure organizational alignment. (2-hour training)

Implement Daily Problem-Solving

  • Select initial areas of focus, Departments, Functions, or Work Areas. Which may include core functions, Engineering, Supply Chain, Production, Quality, etc. And/or support functions, HR, Technology, Finance/Accounting, Legal, etc.

  • Prioritize and scope based on impact on organizational goals, logical sequence, and resource availability.

  • Select initial daily problem-solving teams.

  • Provide training for daily problem-solving teams. (5-day training)

  • Implement Daily Problem-Solving and Visual Performance Management in each selected area.

  • Identify issues to be escalated; issues that require a higher skill level to resolve. (E.g. cross-functional issues, high complexity, high risk, high cost, etc.)

Root Cause Analysis Projects

  • With Departmental Leaders, prioritize escalated issues based on impact, logical sequence, and resource availability.

  • Select initial Root Cause Analysis (Green Belt) teams.

  • Provide Green Belt Training (Root Cause Analysis project training) for selected team members; Projects launched during training. (8-day training) 

  • Provide project direction and support throughout the project duration. (Estimate 3 to 4 months for each improvement project)

  • Provide direction and support through project closure.

  • Validate improvement results and calculate ROI.


Cannsult Improvement Examples (Quick Version): Healthcare

  • Reduced the provider audit burden by eliminating redundant data capture and coordinating the timing of audits both within the government and with external partners. (OIG, DOJ, and States)

  • Improve the speed for Advocacy groups (such as State Health Insurance Plans) to receive timely access to rapidly evolving Medicare Health and Prescription Drug Plan information, which has a direct impact on services provided, partner satisfaction, and the patient experience.

Similarities between Healthcare and other industries

When creating a culture of Continuous Improvement, in some ways, Healthcare is no different from any other industry in that the same high-level steps apply.

Discovery & Planning
Understanding the Organization's Goals and Current Scenario, White Belt training for the whole organization
Prepare Leaders & Infrastructur
Establish Steering Committee, Functional Leaders complete Blue Belt (Sponsor) Training, Create Functional high-level process maps and identify KPIs.
Implement Daily Problem-Solving
Prioritize and plan for functional daily problem-solving, frontline employees and supervisors complete Yellow Belt training.
Launch and Support Root Cause Analysis Projects
Team Leaders or selected participants complete Green Belt training.

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