Comprehensive Requirements: Healthcare AI Technology Research Project
You are required to complete two deliverables based on your healthcare facility interviews conducted as an Elphascare intern:
DELIVERABLE 1: Research Paper (20 pages)
Document Specifications
- Length: Exactly 20 pages
- Exclusions: Title page, table of contents, references, and appendices are not counted in the 20-page limit
- Format: 12-point Times New Roman, 1.5 line spacing, 1-inch margins
- References: APA citation format throughout
Content Organization
Section 1: Executive Summary (1 page)
- Summarize key findings from healthcare facility interviews
- Highlight the generational impact on AI technology receptiveness
- Outline major institutional barriers to AI adoption in healthcare settings
- Briefly introduce Elphascare technology and its potential applications
Section 2: Research Framework (2 pages)
- Explain your research methodology and interview approach
- List all healthcare facilities included in your study:
- Naval Medical Center San Diego (NMCSD)
- Scripps Hospital (San Diego)
- Sharp Hospital (San Diego)
- University of California San Diego Hospital
- Pacific Palms Healthcare (Los Angeles)
- The Montera Senior Living (San Diego)
- Belmont Village Senior Living (San Diego)
- Private nursing homes (San Diego area)
- Describe your role as an Elphascare intern in conducting this research
Healthcare AI Technology Research
Section 3: Current Healthcare Technology Ecosystem (3 pages)
- Analyze electronic health record systems currently implemented:
- Point-Click-Care application in nursing homes and senior living facilities
- MyUCSDChart application usage in San Diego healthcare
- MHS GENESIS in military healthcare settings (NMCSD)
- Document manual tracking systems still prevalent in healthcare facilities
- Assess current level of AI technology integration across different settings
Section 4: Generational Factors Affecting Technology Adoption (3 pages)
- Analyze how Baby Boomers and Generation X healthcare leaders show hesitancy toward AI solutions
- Document specific concerns about AI reliability among older healthcare professionals
- Contrast with Millennial healthcare workers’ greater acceptance of innovations and AI
- Provide evidence of how leadership demographics influence technology decisions
- Include specific examples from your interview data illustrating generational differences
Healthcare AI Technology Research
Section 5: HIPAA and Regulatory Compliance Barriers (3 pages)
- Analyze how HIPAA compliance concerns impede AI technology adoption
- Document that only 1 in 10 nursing/assisted living facilities interviewed are willing to adopt new technologies due to privacy concerns
- Examine differing interpretations of privacy regulations across facilities
- Present detailed case study of UCSD’s January 2025 Artisight Inc. pilot program:
- Explain how non-recorded, pixelated footage addresses HIPAA concerns
- Describe applications for fall prevention and behavior monitoring
- Reference specific sources:
- Relate UCSD’s approach to potential Elphascare implementation strategies
Section 6: Human-Centered Care vs. Technological Solutions (3 pages)
- Analyze facilities’ preference for human interactions and round-the-clock care
- Document continued reliance on manual logging for patient data collection
- Examine concerns about technology potentially depersonalizing patient care
- Identify opportunities for Elphascare technology to enhance rather than replace human care
- Propose balanced approaches that preserve personal touch while leveraging AI efficiencies
Section 7: Hospital Procurement Processes (3 pages)
- Document technology procurement channels at major hospitals:
- Sharp Healthcare’s reliance on Group Purchasing Organization (Vizient)
- Scripps Health’s supply chain department (858-622-2800, corsupplychain@scrippshealth.org)
- UCSD’s preference for internal networking over third-party distributors
- Analyze staff hesitancy encountered when introducing Elphascare during interviews
- Compare procurement approaches across different facility types
- Identify optimal market entry strategies for Elphascare based on these findings
Section 8: Conclusions and Strategic Recommendations (2 pages)
- Synthesize key findings from your research
- Develop specific recommendations for Elphascare regarding:
- Addressing generational resistance to AI technology
- Navigating HIPAA compliance concerns effectively
- Selecting appropriate sales channels for different facility types
- Positioning Elphascare’s AI technology as complementary to human care
- Identify limitations of your research and suggest areas for further investigation
Required Research Findings to Address
Your paper must substantively address these key findings from your interviews:
- Generational Technology Attitudes
- Document how Baby Boomers and Generation X professionals in leadership positions demonstrate resistance to AI technologies
- Provide evidence that Millennials show greater acceptance of technological innovations
- Analyze how leadership demographics impact technology adoption decisions
- Privacy and Regulatory Concerns
- Detail how HIPAA compliance serves as a primary barrier to technology adoption
- Document that only 10% of nursing/assisted living facilities interviewed are open to new technologies
- Analyze widespread fear of privacy violations across facilities
- Current Healthcare Practices
- Document facilities’ preference for human interactions and 24/7 staffing,
- Analyze continued prevalence of manual logging for patient data,
- Examine dominance of Point-Click-Care and MyUCSDChart on West Coast,
- Note military healthcare’s use of MHS Genesis for security purposes,
- Elphascare Market Entry Challenges
- Document hospital staff hesitancy encountered during Elphascare presentations,
- Detail specific procurement approaches required at different hospitals:
- Sharp Healthcare: Vizient (GPO) procurement pathway,
- Scripps: Supply chain department contact requirements
- UCSD: Internal networking approach vs. third-party distribution,
- AI Implementation Models
-
- Analyze UCSD’s January 2025 pilot with Artisight Inc. as a viable implementation model
- Explain how non-recorded, pixelated footage addresses HIPAA concerns
- Document applications including fall prevention, behavior monitoring, and staff oversight
- Relate findings to Elphascare’s potential implementation approach
DELIVERABLE 2: PowerPoint Presentation (10-15 slides)
Presentation Specifications
- Length: 10-15 slides (including title and reference slides)
- Visual elements: Must include facility photographs, website screenshots, and relevant graphics
- Design: Professional, consistent formatting with clear section transitions
- References: Include proper citations for all external sources
Required Slide Content
Slide 1: Title Slide
- Research title focusing on healthcare AI technology adoption
- Your name and Elphascare internship affiliation
- Date of presentation
Slide 2: Research Overview
- Concise explanation of research purpose
- Brief methodology summary
- List of healthcare facilities included in study
Slides 3-4: Generational Technology Attitudes
- Visual representation of generational differences in AI acceptance
- Demographics of leadership positions in studied facilities
- Key concerns expressed by Baby Boomer and Gen X professionals
- Contrasting perspectives from Millennial staff
Slides 5-6: Current Technology Landscape
- Comparison of electronic health record systems:
- Point-Click-Care (nursing homes/senior living)
- MyUCSDChart (San Diego regional hospitals)
- MHS GENESIS (military healthcare)
- Visual representation of manual vs. automated processes
- Current AI adoption status across facility types
Slides 7-9: Healthcare Facility Showcase
- Photographs of facilities visited/mentioned in your research
- Screenshots of each facility’s website
- Brief description of each facility’s technology approach
- Ensure representation of:
- Naval Medical Center San Diego
- Sharp Hospital
- Scripps Hospital
- UCSD Hospital
- Pacific Palms Healthcare
- The Montera and Belmont Village senior living facilities
Healthcare AI Technology Research
Slides 10-11: Privacy and Compliance Barriers
- Visual representation of HIPAA concerns across facilities
- Statistics on technology adoption willingness (10% finding)
- Case study: UCSD’s Artisight implementation
- Non-recorded footage approach
- Privacy-compliant monitoring
- Applications in healthcare settings
- Relevance to Elphascare’s technology
Slides 12-13: Hospital Procurement Processes
- Visual mapping of different hospital procurement channels
- Comparison of direct vs. third-party distribution approaches
- Key decision-makers in the technology acquisition process
- Specific pathways for Elphascare market entry:
- Sharp’s Vizient GPO relationship
- Scripps supply chain department
- UCSD’s networking approach
Slide 14: Strategic Recommendations
- Key strategies for Elphascare technology implementation
- Approaches to address generational resistance
- Methods to navigate regulatory concerns
- Optimal market entry pathways
Slide 15: References and Acknowledgments
- Citations for all external sources, including UCSD Artisight articles
- Acknowledgment of participating facilities and interview subjects
- Elphascare contact information
Required Visual Elements
- Photographs of each healthcare facility mentioned in the research
- Screenshots of facility websites
- Charts/graphs illustrating:
- Generational attitudes toward technology
- Technology adoption rates across facility types
- HIPAA compliance concerns
- Procurement process differences
Submission Requirements
- Submit research paper in both PDF and Word (.docx) formats
- Submit PowerPoint presentation in both .pptx and PDF formats
- Include separate appendix file with all interview transcripts
- Provide folder containing all images used in both deliverables
- Ensure proper APA citations for all external sources
- Submit consolidated reference list for both deliverables