Data Available For Licensing for Product Development

  1. High-volume medical records data.
    Electronic Medical Records (EMR) requirements were enacted, in large part, to establish a macro view of healthcare inputs and outcomes. With EMR collections now entering a decade-plus of existence in larger health systems, the data they contain is of critical value to entities developing analytic, machine learning algorithmic and AI products. Many of these products require immense data scale to harbor value. Accordingly, firms in this sector often desire to access (via purchase or license) data in the “thousands of records” units.
  2. High-volume operational data.
    A majority of digital health technologies that focus on efficiencies in care or administration are being developed by first-product (fledgling) entities. As a generalization, these firms often harbor high technical proficiency but lack an understanding of the current operational environment. Macro-level operational data that informs on volume, pricing/margins, staffing, etc., is of high value to such firms as they attempt to validate value propositions and establish pricing and sales estimates.
  3. Medical images.
    The growing sectors of AI-assisted radiology and digital pathology requires access to medical images that couple to prognosis/reading. Analogous to the high-volume medical records utilization, firms are seeking records in the “hundreds-to-thousands of images” units to drive outcome-specific predictors.
  4. Clinical care pathways.
    Moving beyond the above “big data” activities, many firms need to understand the clinical environment with which their product may align and/or become part of. In such cases, understanding the current progression of care and how, who and when a patient-provider interaction occurs is critical. Hospitals have established integrated care pathways that are typically disease-specific and are needed in the design of new interventions.
  5. Operational standard operating procedures.
    New hospital development, especially in regions where a prior care infrastructure does not exist, can benefit greatly from the operational standard operating procedure in use at large, U.S. hospitals. The information of value ranges from staffing and infrastructure needs (e.g., “how many nurses do I need for this many beds?”) to practical back-office requirements (“how should we establish and track inventory?” and “how large of a loading dock does a hospital require?”).
  6. Procedural know-how.
    It is wonderful for patients and the hospital, alike, when data-driven insights into treatment lead to new interventions. Historically, such interventions were either “given away” via presentations and publications or kept as trade secrets. Unfortunately, either extreme typically limits the ultimate value of the discovery (i.e., adoption fails because no commercial agent has rights to develop). By packaging insights (usually direct consultancy by inventor), patent rights, data and images, a hospital can create a licensable package of intellectual assets of high value to commercial developers. Importantly, the know-how and scan data is often the critical enabler (i.e., not merely patent rights).
  7. Basic science coupled to clinical specimens.
    At times, the coupling of pre-clinical information derived from basic research with clinical capture of data and/or specimens is of high value to therapy developers. Often, the clinical data and/or specimen allows an entity to consider expansions of indications (“new use” opportunities) or supports pre-clinical data requirements for potential FDA use.

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