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Leveraging Artificial Intelligence to Digitally Transform the Musculoskeletal Spine Treatment Pathway

MSKai aims to improve patient outcomes throughout the continuum of care. With our partnerships and team experience, we will deliver innovations that address challenging musculoskeletal problems that currently result in suboptimal spinal care.

MSKai aims to improve patient outcomes throughout the continuum of care. With our partnerships and team experience, we will deliver innovations that address challenging musculoskeletal problems that currently result in suboptimal spinal care.

MSKai aims to improve patient outcomes throughout the continuum of care. With our partnerships and team experience, we will deliver innovations that address challenging musculoskeletal problems that currently result in suboptimal spinal care.

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Utilizing Technology to Create an Automated and Integrated Treatment Planning Workflow

MSKai solutions will become integral to surgeons’ ability to deliver reproducible treatment pathways and surgical outcomes to patients.

MSKai solutions will become integral to surgeons’ ability to deliver reproducible treatment pathways and surgical outcomes to patients.

MSKai solutions will become integral to surgeons’ ability to deliver reproducible treatment pathways and surgical outcomes to patients.

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Advancing an Integrated Data Highway

The data collected and processed by MSKai will be the cornerstone for innovation in the largest medical device market – musculoskeletal – and our AI-driven software platform will transform the way musculoskeletal spine care is conducted.

The data collected and processed by MSKai will be the cornerstone for innovation in the largest medical device market – musculoskeletal – and our AI-driven software platform will transform the way musculoskeletal spine care is conducted.

The data collected and processed by MSKai will be the cornerstone for innovation in the largest medical device market – musculoskeletal – and our AI-driven software platform will transform the way musculoskeletal spine care is conducted.

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Skeletal Diagnostic Digital Imaging

MSKai is artificial intelligence-based technology (AI) for Skeletal Diagnostic Digital Imaging (SDDI), currently focused on spinal imaging and care and dedicated to improving patient care, surgical outcomes and supporting pre-surgery authorizations for patients. SDDI lessens the time required for physicians to prepare and deliver prior authorization requests by providing a complete prior-authorization request solution, tailored to each payor’s requirements, for review and response. The current software aims to identify, measure, and classify skeletal anatomy and pathologies from a quantitative and qualitative standpoint within seconds— dramatically expediting patient care while lessening the time, cost, and administrative overhead of the prior-authorization process. MSKai intends to be the answer to skeletal value-based healthcare for the physician, payor, and patient.

Mission

Mission

PROVIDE accurate, consistent, and unbiased results via transparent musculoskeletal analysis.
FACILITATE timely high-quality care with optimized outcomes for patients.
ENABLE primary stakeholders’ vision for pre-eminent musculoskeletal care.

Vision

Vision

To employ data, analysis, and artificial intelligence to remove all barriers that limit prioritizing patient outcomes in musculoskeletal care.

The MSKai Technology

MSKai Provides Technology to Produce Precise, Realtime, and Data-Driven Decisions

  • AI-digital platform with secure, limitless interoperability across DICOM and PACS
  • Unbiased, precision image analysis
  • Reduced variability, medical errors, and revenue spend
  • Proactive engagement tool with ubiquitous functionality across key stakeholders
  • AI-based clinical treatment algorithms, resulting in “best practice” patient outcomes
  • Data-driven avoidance of costly and ineffective device options with high complication rates
  • Design to support user workflow and decision requirements
Precise, Realtime, and Data-Driven Decisions

The Present Challenges in Patient Diagnosis Process

Imaging is the front-end of the patient care process but…

  • Image processing, analysis, and sharing are inconsistent and cumbersome.
  • Radiology workforce has impediments in workload and staffing.
Treatment Authorization is Cumbersome and Slow…

  • Compiling data, images, and reports and correlating with insurance checklists is labor intensive.
  • Varying EMR data, formats, and reports increase difficulty.
  • Efforts to verify may be greater than efforts to diagnose.
Dialogue, Discussion & Analysis are difficult…

  • Time and resources to produce reports with sufficient details are limited.
  • Physicians’ and payors’ objectives can become unaligned without trusted data.
  • Requirements are dynamic and specific to each plan/payor.

The Patient's Dilemma

Provider

  • 1BN + CT’s, MRI’s, and X-Ray’s are taken worldwide each year without benefit of comparative analysis
  • 20% of all images are read incorrectly by radiologists
  • 450k spine fusions are performed annually, with 33% failing
Physician with patient reviewing spine xray

Patient

  • 80% of the population will experience some type of back pain in their lifetime
  • 30% of spine surgeries result in suboptimal outcomes
Delayed Treatment
Decreased QOL
Increased Healthcare Cost

Insurers

  • $100BN of excess costs annually due to misdiagnosed treatment / unnecessary surgery
  • Lack of data driven analysis leads to downstream spend from reoperations, readmissions, and complications

Delayed Treatment

Decreased QOL

Increased Healthcare Cost

The MSKai Process

Data Acquisition

MSKai creates an integrated data highway by developing a portfolio of AI-driven diagnostic imaging applications in degenerative spine, deformity spine, and spine trauma.

Processing

MSKai collects MRI, CT, and X-ray imagery of all spine segments to train algorithms necessary for AI.

Reporting

MSKai provides pre-populated or free text reports with pathology findings, measurements, and descriptions.

Prediction

MSKai leverages AI and Machine Learning to predict the optimal continuum of care and patient outcomes.

The Stakeholders

patient describing physical state to physician

Payors

MSKai improves the prior authorization process for providers and payors to enhance the treatment pathway and reduce the cost of care continuum.

Spine Model

Providers

Our accurate, objective data and measurements allow more effective diagnosis pathologies.

Physican looking at spinal MRI results

Radiologists

Our pre-populated draft report, which includes measurements of all suspected pathologies detected by the software, increases efficiency to save time.

Physician with patient reviewing x-ray results

Patients

Our technology increases patient education of the treatment decision and pathology diagnosis.