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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Build or Buy? Managing the New Technology Decision Tree.

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Health systems face complex technology investment decisions. This case study examines an academic medical center

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Area of Science:

  • Healthcare Technology
  • Health Informatics
  • Information Systems in Medicine

Background:

  • Healthcare delivery relies heavily on technology and analytics platforms.
  • Health systems must balance innovation, interoperability, and strategic priorities.
  • Investment decisions are complicated by evolving artificial intelligence capabilities.

Purpose of the Study:

  • To explore an academic medical center's approach to technology investment decisions.
  • To analyze factors influencing the build vs. buy decision for technology solutions.
  • To evaluate the outcomes of in-house developed technology solutions.

Main Methods:

  • Case study methodology.
  • Analysis of decision-making factors for technology resource allocation.
  • Evaluation of outcomes for two internally developed solutions.

Main Results:

  • The academic medical center developed two solutions in-house.
  • Factors influencing the build vs. buy decision were identified.
  • Outcomes of the in-house solutions were assessed.

Conclusions:

  • Strategic technology investment is crucial for healthcare organizations.
  • The build vs. buy decision requires careful consideration of various factors.
  • In-house development can yield specific benefits for academic medical centers.