Healthcare Capstone

The fiscal level of effort

The total cost of the two projects that is:

  1. The use of advanced analytics and data mining in precision medicine.
  2. Robot-assisted surgeries are $1 million.
  3. AI embedded clinical documentation.

The precision medicine project will cost $350,000, while the robot-assisted surgeries project will cost $650,000, and the AI embedded clinical documentation project will cost $250,000, all-inclusive of implementation and transition costs. However, the physical level of effort or the amount that HCA can raise is $450,000, and the remaining amount will be sought from investors and grants. The organization will also look into partnerships with the provider or supplier of the AI system. Since Microsoft and IBM are among the key industry suppliers of the AI healthcare system, HCA could consider partnerships with the company to get a discount or waiver on the total amount for the project (Bresnick, 2017).

Infrastructure support requirement

Both projects will require infrastructure support requirement because they are both capital projects. The project involving the use of advanced analytics and data mining in precision medicine will require the infrastructure necessary to support data curation and storage. For instance, the project will require a cloud-based infrastructure that will be critical for data sharing and tool development. Infrastructure will also be needed to compute capacity and enable big data analysis. For data storage, the project will require cloud technologies as well as local servers to help retrieve this data for analysis when the need arises. Other infrastructure and resources needed for the implementation of the precision medicine project are programing interfaces, user interfaces, and computational tools. HCA can choose to use a private cloud or a commercial cloud. However, a commercial cloud would be more beneficial to the organization as it comes with additional features, including secure data access, computational scalability, and collaboration (Faggella, 2018).

The infrastructure support requirement will include:

  • The computer-controlled devices.
  • Programs and software.
  • Hardware.
  • Mechatronics for the robot-assisted surgeries.

The assistive robotic systems will have artificial arms and hands as well as integrated systems with visualizations and mobility. In terms of facilities, the assistive robotic system infrastructure will be stored in the surgical departments of the organization, but the robotic systems will stored in special surgical rooms and not the ordinary surgical rooms.

The infrastructure support will include hardware and software support for the electronic form of documentation for the AI embedded clinical documentation. Computers and other devices in which the clinical information can be accessed will also be needed. Other infrastructure includes computers, servers and office facilities where these computers will be kept

Paying for the product, facility, entity or service

The two projects will lead to new products or services for HCA: robot assistive surgeries and precisions medicine. The cost of implementing and maintaining these projects, the infrastructure, and the services will be incurred by the patients who will be seeking robot assistive surgeries and precisions medicine services. The pricing of the services will be determined by the entire cost of the project as well the current market rates for the services, among other factors. Currently, robot assistive surgeries cost about $2,500 per patient and HCA will price its robot assisted surgeries at between $1,500 and $3,500 per patient depending on the type of surgery. The more complex the surgery, the costlier it would be. As for the precision medicine project, the cost will be transferred to patients who will be seeking services at the hospital in terms of consultation, laboratory tests and other diagnostic procedures (Shapiro, 2017). For the AI embedded clinical documentation project, the cost will be incurred by the hospital, and the investment will be recovered in the long run as a result of improved documentation.

Human Resources actions required

Both projects will require human resources actions. For the precision medicine project involving advanced analytics and data mining and the AI embedded clinical documentation project, personnel will be needed for access the data, visualize it and apply computational tools on the data. Personnel will need to be trained on data analytics and mining actions such as query data, creating and running workflows and installing tools. HCA could consider having the IT department perform these work tasks, but other clinical personnel working in the precision medicine department will require proper training. Alternatively, HCA could subcontract this IT function to another company whereby the company will help in the transition process and train HCA employees on advanced analytics and data mining functions for the precision medicine project (Faggella, 2018).

For the robot assisted surgeries, human resources actions needed will include training of surgeons on the use of the mechatronics as well as the training of the maintenance personnel. While HCA might consider contracting the supplier for maintenance, some maintenance personnel within the organization’s facilities will also be needed on-call and during actual surgical procedures. The training should follow guidelines set by HCA’s Robotics Peer Review Committee. 

Other changes

Other changes that the two projects would bring to HCA will include:

  • Maintenance – Since both projects require hardware, software and other infrastructure, maintenance is required to ensure that the products are functional and meet the required capacity.
  • Compliance – Both projects will require compliance in terms of legal, regulatory and ethics. For instance, the precision medicine project will require protection of patient data in compliance with the HIPPA. As a result, regular review of the two projects and associated services will be conducted twice every three months to ensure compliance (Shapiro, 2017).

 

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