Systems Development for Coordination and Analysis of Utilization Patterns in Healthcare Organizations Introduction (PPT)

Systems Development for Coordination and Analysis of Utilization

Speaker Notes

Slide 1

  • Healthcare organizations have a significant responsibility to their patients to provide optimal care and treatment at all times, and this is supported by expanded technology-based applications
  • Information systems support many different functions and the storage of data in a format that is protected yet appropriate
  • Diagnostic errors are reduced with the continued use of decision support systems in many healthcare organizations

Slide 2

  • Decision support systems contribute to enhanced quality of care
  • Health care delivery is optimized with the use of these systems
  • A reduction in errors is likely to improve patient care delivery and functionality

Slide 3

  • The documentation of clinical procedures in electronic formats promotes the reduction of clinical errors
  • Diagnostic procedures must be accurately recorded and stored
  • Access to information and its level of organization is useful in achieving the desired performance results

Slide 4

  • Data privacy and security must be maintained withal information technology systems in healthcare organizations
  • Diagnostic tools and medication management strategies are well supported by decision support systems
  • Security must improve system reliability and long-term feasibility

Slide 5

  • The recording of clinical data in decision support systems must be as error-free and accurate at all times
  • Data reconciliation is required to promote data integrity
  • Electronic data recording is important in reducing errors and improving practice-based methods
  • Patient safety is always a significant concern, so data must reflect these issues as accurately as possible

Slide 6

  • The life cycle of a decision support system must reflect the needs of the organization at the time of implementation and in the future
  • Each stage reflects a capacity to make modifications as necessary to make improvements

Slide 7

  • Decision support systems must reflect efficiency and cost savings
  • Employees must receive the proper training to use the system effectively
  • Training should adopt a beta format as a testing platform to simulate real-life clinical data
  • Ongoing training and technical support should also be available

Slide 8

  • Servers backing upon decision support systems must have sufficient space to store data in an accessible manner
  • Maintenance packs and upgrades are necessary to keep systems operating in an optimal state
  • Technical capacity and space must be continuously evaluated
  • Breaches to data integrity must be identified and taken care of immediately

Slide 9

  • Delivery of care in healthcare organizations must be maximized at all times
  • Decision support systems must store data that is relevant to utilization strategies
  • Expanded data sets and diagnostic frameworks are required
  • Data retrieval must be smooth and utilization as effective as possible

Slide 10

  • Decision support system infrastructures support improved clinical problem solving
  • Clinical errors must be minimized by using these systems
  • Maintenance and upkeep are required on a regular basis

Slide 11

  • Minimum hardware requirements must always be met
  • System implementation must encompass the appropriate hardware and software tools
  • Combined resources must be used (new and existing)
  • Hardware must be cost effective, efficient, and capable of meeting needs appropriately

Slide 12

  • Decision support systems must reflect accurate data recording and clinical decision-making requirements
  • IT tools must be cost effective and efficient
  • Clinicians must work collaboratively to minimize errors and reduce costly errors