Posted: June 26th, 2022

Carolinas Healthcare Systems: Consumer Analytics

Assessment Requirement:

Your report must address the following requirements:
Appraise any TWO (2) reasons, why the Carolinas Healthcare Systems (CHS) invested in Dickson Advanced Analytics (DA2)

Appraise how the four pilot programs implemented in Carolinas Healthcare Systems (CHS) by Dickson Advanced Analytics (DA2) supports CHS strategic priorities (Exhibit 3).

Critically analyze any THREE (3) reasons, why you think that Dickson Advanced Analytics (DA2) is successful in implementing the consumer analytic programs at the Carolinas Healthcare Systems (CHS)?

Critically evaluate any THREE (3) possible challenges that Dr. Micheal Dulin might face going.

Carolinas Healthcare Systems: Consumer Analytics
Medical facilities across the globe have found it prudent to incorporate advanced technology and innovation in offering medical services with the view of reducing medical expense3d and offering quality medical services to their patients. The case of Carolina Medical Center (CHC) adoption of advanced analytics in medical care is directed towards the integration of data regarding patients, financial information, and medical products and services to enhance informed and relevant decision making with the view of improving medical services and reducing the cost of medical services and products. The integration of different data to support decision making was made possible by the earlier innovation of the Electronic Medical Records (EMR) that was proof that integration of patient data and financial data would enhance informed decisions in the interest of the patients and medical facilities (Laudon and Laudon, 2020). The increased computing power provided an opportunity for CHS to collect, store, and model different clinical data to better medical services and improve people’s general health (Quelch and Rodrigues, 2015). Consequently, the advanced incorporated a hybrid model structure that linked description analysis to performance metrics to enhance internal performance and rigorous analytics. DA2 provides tools to support CHS and its constituent medical facilities to offer world-class healthcare to patients, evidence-based population health management, predictive modeling, and personalized patient care. The Dickson Advanced Analytics will significantly transform and advance medical services; thus, it will succeed in the implementation. There is a need to consistently improve its operation by eliminating the challenges experienced in affordable and quality health care.

6.2 Assessment
6.2.1 Reasons for Carolinas Health Systems (CHS) investing in Dickson Advanced Analytics (DA2)
The DA2 system is a vital aspect and innovation in CHS and the related medical facilities in delivering quality and affordable medical services. DA2 technology operates by collecting and gathering medical and financial information regarding patients and medical facilities to enhance informed decision-making in the medical field. The Carolina Health System will eventually invest and incorporate DA2 technology in its operations for different reasons (Quelch and Rodrigues, 2015). In this regard, the adoption of the DA2 to the CHS’s medical operations will significantly improve the medical operations rather than increase the size of the CHS. The improvement l of the outcomes means that the quality of the medical services and operations will be advanced as opposed to just the growth of the CHS. CHS has consistently experienced growth and development through its visioning approach and development, and thus there is a need to improve the quality of medical operation in the interest of patient satisfaction. It is vital to note that healthcare is a massive industry where some of the clinical work is substandard as occasioned by divergence from care plans and choices made in the absence of evidence or backup data (Rainer et al., 2020). The transformation of the substandard clinical work can be achieved by using data assessment and analysis operations to ensure that organizations make informed decisions. This fact will make the CHS deploy analytics arising from DA2 to transform the work previously considered as substandard. The DA2 integrates different relevant data in the clinical and financial field to ensure that informed decisions are made for medical services delivery, thus improving general medical care.
The DA2 plays a vital role in the communication of different stakeholders in the medical field, especially the patients, in ensuring that medical operation is efficient and streamlined. The patient is the center of attention in medical operations, and there is a need for consistent and improved interaction between the patient and the medical. The improved communication between the patient and their relevant medical facilities and professionals enhances their recovery and effective management of their different conditions (Quelch and Rodrigues, 2015). In this regard, the DA offers a vital communication strategy to engage the patient on medications, diet, clinics, and behavior change to enhance their recovery and management of their conditions. Equally important, the DA2 enhances interaction and communication between medical professionals such as physicians and nurses, thus building strong relationships vital in improving the quality of medical and clinical operations. Therefore, CHS will invest in DA2 to enhance the interaction and communication of the different stakeholders such as medical facilities, patients, physicians, and nurses interested in streamlining medical operations.
6.2.2 How four pilot programs implemented in CHS by DA2 support CHS strategic priorities?
The CHS has consistently grown through visioning and adoption of growth and developmental strategies. In this regard, the CHS has strategic priorities to offer quality and affordable medical and clinical services. CHS remained unchanged for over two decades by concentrating its efforts on research, education, and healthcare. However, CHS has renewed its strategic road map in the interest of future growth backed with strategic priorities that involve the provision of personalized, high-quality service, a single unified enterprise to meet the patients’ needs. The four pilot programs implemented under the DA2 will be vital in ensuring that the CHS strategic priorities are achieved.
The mapping of the underserved communities and societies is a pilot project under the DA2 that will enable the CHS to avail personalized medical services to the general population. The mapping of underserved communities takes the identification of areas underserved by primary care facilities. This project is gathered by gathering and integrating clinical data and descriptive data from local primary care and ED medical facilities to establish the favorable variables to indicate poor access to general medical care (Quelch and Rodrigues, 2015). The mapping for primary care access mode will use the variables of population density, uninsured/Medicaid population, and median household income population using the primary care-treatable and preventable conditions. The numeric value will be created for the different variables and integrated to measure primary care needs in facilities. This approach will be used in communities that need additional clinics, anticipation for localized future demand for healthcare professionals, development of interventions to improve access to basic healthcare, measures impact of intervention thus ensuring that general quality in healthcare is upheld.
The pilot project of reducing the readmissions ensures that relevant medical care is given to the deserving parents to ensure that the general population led a healthy life. The reduction of readmissions takes a readmission predictive Risk Model that enables the medical facilities and medical professionals to identify high-risk patients (Quelch and Rodrigues, 2015). The DA2 identify the high-risk patient through the use of an algorithm that calculates the readmission risk score for every patient admitted. The predictive readmission uses ED visit history, language, sodium levels, and late-stage renal diseases. Patients identified with high-risk readmission within 30 days of readmission get extra focus from clinicians while in hospital. The patients are clustered based on their readmission risk score, and the care manager selects the relevant interventions such as scheduled follow-ups, enabling patients to manage medication, connecting patients with dietitians, trainers, and coaches to give appropriate follow-up care. Therefore, the reducing readmission pilot project is vital in enhancing CHS attain its strategic priorities of offering personalized care that improves recovery rate to ensure that medical facilities are not overwhelmed by the number of patients.
Advanced Illness Management is a pilot project of the DA2 that ensures patients with a complex or advanced medical condition be serve3d with speed in different medical facilities. Patients with complex medical conditions have a high risk of hospital readmission to the medical facilities identify such patients through the system and attaches experts and professionals to such patients to enable them to understand their health conditions, medications, symptoms, and lifestyle choices (Quelch and Rodrigues, 2015). The experts’ information, advice, and guidance to the patients empower them to manage their health and reduce regular ED visits and hospitalization cases. The clustering and identification of patients with different medical conditions under Advanced Illness Management ensure personalized, and quality medical care is offered, thus improving medical care quality and affordability.
Additionally, the patient segmentation model as a pilot in the DA2 places patients in seven distinct segments intending to offer personal and appropriate medical care. The patient segmentation model was attained by collecting patient data relating to clinical data, education attainment, medication compliance, socioeconomic factors, and consumer spreading profiles. This approach enhances patients’ effective management and different medical conditions through care and communication (Quelch and Rodrigues, 2015). This approach will have different benefits to CHS as it will enable the medical professionals to identify high-risk patients with speed, help change patient undesirable and harmful behaviors, and make cost estimation in providing healthcare, thus enabling the medical facility to attain its strategic priorities.
6.2.3 Reasons for Dickson’s Advanced Analytics is successful in implementing the consumer analytic programs at CHS
Different factors contribute to the CHS experiencing success in the implementation of the DA2 project. The DA2 project will have a significant impact on the medical operations of the CHS. In this regard, CHS will sufficiently implement DA2 technology since it has sufficient resources and funds to enroll the project in its different departments and sections (Laudon and Laudon, 2020). The projects’ implementation will require funds to cater to machines, equipment, tools, and installation of the system and the supporting infrastructure. CHS is a massive organization with different medical-related industries. The enrollment of the technology will take a considerable amount of funds. In this regard, CHS has the right financial muscle to implement the project as it has dedicated $14 million for the implementation of the project.
The CHS will successfully implement DA2 owing to its experience and advancement in research. The success of DA2 is dependent on the research and collection of data to enhance the making decisions through the system (Cline and Luiz, 2013). The DA2 system is dependent on the different clinical, financial, and patient data to be integrated to offer predictive results to enable one to make informed decisions. The CHS has experience in gathering and managing medical data as it has grown from research, education, and healthcare centers. Additionally, the organizations have been in existence for a long time and used other related technologies such as Electronic Medical Records (EMR) enables it to effectively incorporate the DA2 initiative. Therefore, the CHS has the research capacity required to incorporate DA2 in its system and operations.
Additionally, the willingness and goodwill to implement the project will result in great success in the project since the DA2 will enable improved operations and solve the medical field’s systemic challenges (Cline and Luiz, 2013). In this case, the medical field faces challenges in managing patients, shortages of medical supplies, physicians’ challenges, and high medical costs and expenses. The DA2 project will eliminate the systemic challenges and improve general healthcare.
6.2.4 Possible challenges that Dr. Michael Dulin might face in the implementation of consumer analytic programs
Dr. Michael Dulin will experience a wide range of challenges and barriers in implementing the DA2, thus posing as a barrier to the availability of quality and affordable medical services. In this case, Dr. Dulin faces the challenge and dilemma of deciding on the pilot projects to extend to different yet related issues without requiring the design and implementation of new models (Kim, 2011). In this case, there are challenges in configuring the existing projects and pilots with the DA2 without compromising the system operation or the existing projects. In this regard, Dr. Dulin needs to adopt a multidisciplinary approach to solving the configuration problems to ensure that the project s streamlined to attain the desired goals and objectives.
Dr. Dulin will experience the challenges of internal resistance from medical professionals and the stakeholders. The DA2 technology entails a change and maintenance of the status quo among CHS factors that will contribute to the resistance to the new technology (Kim, 2011). The adoption of the DA2 will positively change the organizational operation outcomes, but the internal constituents are likely to oppose and resist the project due to fear of change. In this regard, Dr. Dulin needs to satisfy and assure the internal constitutionals that the project will positively transform their operation in improving medical care. Dr. Dulin needs to consider the demands or requirements raised by the internal constituents and incorporate them into the project’s implementation.
Additionally, Dr. Dulin will have a challenge and hard task in explaining to the management the profits realized from the project compared to the invested amount and the translation of DA2 insights to action. The DA2 project is directed towards improving CHS outcomes in the interest of the patient and not achieving high-profit levels in the organization (Kim, 2011). In the past, CHS has engaged in projects to increase the profit levels, but in this case, the project is directed at improving operations and outcomes, thus making it impossible to convince the management to adopt the project. Equally important, Dr. Dulin will experience challenges in explaining the transformation of insight of the DA2 project in the management’s interests. In this case, Dr. Dulin needs to present a report detailing the issues raised, the project’s benefits to the management, and consistent care plans to convince the management to adopt the project in its medical operations.
Conclusion
Dickinson’s Advanced Analytics (DA2) will significantly transform the outcomes and operations of Carolina Health Centre by enhancing healthcare quality and affordability. The DA2 improves medical operations by eliminating challenges and systematic barriers in the medical field. The DA2 project comes with different advantages; thus, CHS will be quick in investing in the project. The DA2 pilot projects are vital in the achievement of CHS strategic priorities. The success in implementing the DA2 project will arise as occasioned to availability of investment funds, willingness to implement the project, and the research and education experience from the medical institution.

References
Cline, G. B., & Luiz, J. M. (2013). Information technology systems in public sector health facilities in developing countries: the case of South Africa. BMC medical informatics and decision making, 13(1), 13.
Kim, B. S. (2011). U-healthcare & medical information system of status and operative challenges for integrated medical information system. Journal of Digital Convergence, 9(5), 65-75.
Laudon K & Laudon, C. (2020) Management Information Systems: Managing the Digital Firm. 16thEdition. ISBN: 13:978-0-273-78997-0. Pearson
Quelch, J. A., & Rodriguez, M. L. (2015). Carolinas HealthCare System: Consumer Analytics.
Rainer, R. K., Prince, B., Splettstoesser-Hogeterp, I., Sanchez-Rodriguez, C., & Ebrahimi, S. (2020). Introduction to information systems. John Wiley & Sons.

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