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EarlySense

Lumiata

Top Marketing Channels

EarlySense

  • Content Marketing
  • Examples: White papers on continuous monitoring, Blog posts on patient safety, Case studies on hospital implementations
  • Campaigns: Improving Patient Outcomes with EarlySense, The Future of Hospital Monitoring, Reducing Adverse Events in Acute Care
  • Digital Advertising
  • Examples: Google Ads for remote patient monitoring solutions, LinkedIn ads targeting hospital administrators, Display ads on healthcare industry websites
  • Campaigns: EarlySense: Your Partner in Patient Safety, Real-Time Insights for Better Care, Prevent Falls, Prevent Harm
  • Industry Events & Conferences
  • Examples: Exhibiting at HIMSS, Presenting at critical care conferences, Sponsoring hospital innovation summits
  • Campaigns: EarlySense at HIMSS: Revolutionizing Patient Care, Continuous Monitoring Innovation Showcase, Partnering for a Safer Hospital

Top Sales Channels

  • Direct Sales Team
  • On-site hospital demonstrations, Personalized virtual product tours, Follow-up consultations with clinical leadership
  • EarlySense Hospital Solutions Demo Request, Custom Implementation Plan for Your Facility, Clinical Workflow Integration Assessment
  • Partnerships with GPOs/Resellers
  • Collaborating with group purchasing organizations, Working with medical device distributors, Joint sales initiatives with EMR providers
  • GPO Preferred Vendor Program, EarlySense Reseller Enablement, EMR Integration Partnership Program
  • Referral Programs
  • Physician referral incentives, Hospital network internal referrals, Existing customer testimonials driving new leads
  • EarlySense Advocate Program, Share Your Success, Clinical Champion Referral

Biocogniv SWOT Analysis

Strengths

Established presence in continuous patient monitoring

Strong focus on patient safety

FDA-cleared technology.

Weaknesses

May be perceived as hardware-centric compared to AI-first solutions

Integration with diverse hospital IT systems can be complex

High upfront capital expenditure for hardware.

Opportunities

Expansion into home healthcare and long-term care facilities

Development of AI-powered predictive analytics on top of existing data

Partnerships with telehealth providers.

Threats

Emergence of purely software-based predictive analytics solutions

Competition from larger diversified medical device companies

Regulatory changes affecting medical device approvals.

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