
Create and Implement an IoT Strategy

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Navigate the HIPAA Landscape

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Develop a Business Continuity Plan for Healthcare

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Navigate Zero-Trust Security in Healthcare
Cybersecurity and privacy concerns are significantly impacting the healthcare sector. The massive Change Healthcare breach highlighted the industry's lack of attention to third-party systems, business continuity, and disaster recovery. This breach exposed a third of the US population to identity theft and caused a major healthcare clearinghouse to shut down for several weeks, putting organizations under financial strain. Data breaches have doubled in the last three years, and ransomware attacks have increased, affecting over 290 hospitals in 2023.
Robust cybersecurity measures are crucial to protect sensitive patient data, maintain trust, and ensure the continuity of healthcare services. The financial and operational impacts of breaches and ransomware attacks can be devastating, making it essential to address these vulnerabilities proactively.
Assess current maturity levels, identify trends, and improve weak areas to address cybersecurity challenges. This involves evaluating strengths and weaknesses, optimizing security processes, and developing a comprehensive security strategy.
Enhance security by managing biomedical devices, ensuring these devices are secure and do not become entry points for cyberattacks.
Create and Implement an IoT Strategy
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Navigate the HIPAA Landscape
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Develop a Business Continuity Plan for Healthcare
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Navigate Zero-Trust Security in Healthcare
Integrating AI and machine learning (ML) into healthcare operations presents significant challenges, especially in demonstrating clear ROI to secure funding. Many projects have shown vague productivity improvements, and few have been truly transformational. Additionally, implementing these technologies requires flexible funding requirements, addressing new governance challenges, operating model changes, and vendor management focused on capabilities.
AI and ML have the potential to transform healthcare by improving diagnostics, patient care, and operational efficiencies. Successfully integrating these technologies can lead to better patient outcomes and more efficient operations, but realizing these benefits is difficult.
Focus on demonstrating the tangible benefits of AI and ML projects. This involves conducting thorough ROI assessments to justify the investment and secure funding.
Accommodate the unique financial requirements of AI and ML projects by developing flexible funding models. This ensures that the necessary resources are available for successful implementation.
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Generative AI Use Case Library for the Healthcare Industry
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AI-Powered Precision Medicine to Improve Patient Outcomes
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Discover AI Use Cases in Healthcare
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Use Artificial Intelligence and Machine Learning to Improve Population Health Outcomes
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The Potential Financial Benefits of AI in Healthcare Organizations
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Getting to Automated Surveillance and Location Intelligence in Public Health Practice
The industry is facing significant cost pressures due to constrained supply chains, increased staffing costs, and continued consolidation. These factors are resulting in tighter budgets and substantial cuts in IT spending. Additionally, required investments in security are putting further strain on IT resources within the healthcare industry.
Financial constraints are forcing organizations to find ways to save costs while maintaining efficiency. Without effective cost management, IT departments struggle to support essential operations and innovate, potentially impacting overall business performance.
Identify and eliminate redundant or underused applications through an application rationalization process. This helps reduce costs and streamline IT operations.
Focus on high-priority projects so that the organization can maximize the return on investment and maintain operational efficiency. This ensures that resources are allocated to the most impactful areas.
Build an Application Rationalization Framework
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Improve Healthcare Technology Outsourcing Success
Optimize IT Project Intake, Approval, and Prioritization
Jump Start Your Vendor Management Initiative
Healthcare organizations, whether businesses or government crown corporations in Canada, face the challenge of sharing patient data across a shared service model across jurisdictions, using a single electronic health record system. Similarly, in the US, merging or acquiring businesses encounter difficulties in sharing and merging patient data. Both scenarios require strict regulatory adherence in terms of data reporting and cost justification.
Ensuring proper data collection in the cloud, making it available for consumption, and having an effective curation and enhancement plan are critical foundations for success. This ensures organizations can leverage AI and other digital technologies to their fullest potential.
Implement a robust data integration strategy with cloud-based data collection. This ensures that data is collected efficiently and made available for consumption across different entities.
Organize and improve the quality of data to ensure it is useful and reliable for decision-making processes. Having an effective curation and enhancement plan is essential.
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Build a Holistic Data Strategy for Your Healthcare Organization
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Interoperability: The True Power Behind the Digital Front Door
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Getting to Automated Surveillance and Location Intelligence in Public Health Practice
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The Role of Social Determinants of Health in Value-Based Care Delivery
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Interoperability Primer and Playbook for Public Health and Healthcare Organizations
Patients often don't receive the best experience because they may not know what good healthcare service looks like, including telehealth, digital front doors, e-consults, and more. Currently, only 39% of patients in Canada use patient portals, compared to 69% in the US.
Focusing on patient- or consumer-centric services is crucial for driving loyalty. Delivering services where and when the customer wants them and in a precise manner is key to improving patient satisfaction and engagement.
Enable a holistic healthcare model by ensuring patients receive the care they need conveniently and effectively across the entire care delivery continuum.
Implement digital front doors and e-consult capabilities to enhance patient access to healthcare services. These tools provide patients with easy and efficient ways to interact with healthcare providers.
Drive Customer Convenience by Enabling Text-Based Customer Support
Build a Chatbot Proof of Concept
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Virtual Health Playbook: Evaluate and Expand a Virtual Health Practice
The healthcare industry lags behind other sectors in migrating to the cloud, hindering its ability to leverage modern technologies, improve operational efficiencies, and ultimately adopt new operating models.
Moving data and operations to the cloud is essential for increasing flexibility, scalability, and data security. It also enables staging data for analytics and AI/ML projects, which are crucial for advancing healthcare services and delivery models.
Ensure data is secure, protecting sensitive patient information and maintaining compliance with regulatory standards by leveraging cloud technology.
Embrace cloud technology to prepare healthcare organizations for future technological advancements. This shift supports better decision-making and improved patient outcomes by enabling the use of advanced analytics and AI/ML projects.
Document Your Cloud Strategy
Design Your Cloud Operations
Embrace the Inevitability of Multicloud
Identify the Components of Your Cloud Security Architecture
The combination of clinician burnout and an aging patient population is worsening the already difficult task of staffing healthcare facilities, indicating a long-term issue.
Addressing labor challenges is crucial because it directly impacts the quality of care provided to patients and the overall satisfaction of healthcare professionals.
Improve the patient management process by automating mundane tasks and reducing the workload on clinicians, allowing them to focus more on patient care and less on administrative tasks.
Use advanced technologies and better workflow management to streamline documentation processes and reduce the time clinicians spend on paperwork.
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Virtual Health Playbook: Evaluate and Expand a Virtual Health Practice
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Generative AI Use Case Library for the Healthcare Industry
As one of the most regulated industries globally, healthcare has extensive reporting requirements to justify costs and demonstrate benefits to the population. Healthcare systems face significant data challenges due to the complexity of managing diverse and siloed data sources, legacy systems, inconsistencies in data, and the need for skilled professionals.
Effective data management and governance are essential for regulatory compliance, accurate risk assessment, data security, improved analytics, and ultimately remaining competitive in a data-driven industry. Being able to leverage AI, ML and other advanced technologies is another critical factor to remaining competitive.
Improve data quality, accuracy, security, and privacy, as well as overall data analytics, by investing in data management and governance. This will also improve regulatory compliance posture.
Achieve cost savings by minimizing redundancies and optimizing resource allocation. This ensures that healthcare organizations can manage data effectively and comply with regulatory requirements.
Build a Reporting and Analytical Insights Strategy
Build a Data Pipeline for Reporting and Analytics
Data and Analytics Landscape Research Center
Negotiate the data and analytics disciplines to unlock the true value of your data.
Healthcare is an ever-changing environment with rapid advancements in treatments. However, healthcare systems often lag in updating technology and business processes. Technical debt is a common challenge in hospitals, averaging over 500 outdated IT applications per hospital globally. Unmanaged technical debt poses significant operational, financial, and reputational risks.
Addressing technical debt is necessary to maintain efficient and effective healthcare delivery. It impacts the organization's ability to stay competitive, secure, and innovative. Proper management of technical debt ensures that healthcare systems can leverage new technologies and improve patient care.
Conduct business impact analyses to understand the implications of outdated technology and identify and document the technical debt.
Focus resources on the most critical areas that need immediate attention, ensuring that the most significant risks are addressed first.
Manage Your Technical Debt
Make the Case for Legacy Application Modernization
Assess Infrastructure Readiness for Digital Transformation
Implement the Next-Generation IT Operating Model
"Because security is so broad and involves so many components, we needed to build a multi-disciplinary, multi-faceted approach. Info-Tech has research on everything across the entire spectrum, and they have helped set the stage for our approach to security.”
David Schned, Director, IT Operations and CISO, LHSC
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