Navigating The VBC Landscape: Optimizing Human And Technological Resources For Better Healthcare

Main Article Content

Chetan Sasidhar Ravi
Kalyan Sandhu
Mahammad Shaik
Venkata Sri Manoj Bonam
Dheeraj Kumar Dukhiram Pal

Abstract

Value-Based Care Implementation Issues VBC mandates healthcare businesses abandon FFS resource allocation. Prevention, care coordination, and community health management trump volume. Human and technical VBC installation issues are discussed. 
VBC shortages may affect healthcare workers. VBC supports preventative care, chronic illness management, and community health management, which need skills beyond diagnosis and treatment. FFS-trained physicians may struggle with risk categorization, data-driven decision-making, and multi-provider care coordination.
Primary care doctors, nurses, and mental health professionals are few, worsening the competence gap. VBC implementation is hindered by the lack since comprehensive and coordinated therapy needs adequate personnel. Problems with tech VBC usage is limited by EHR fragmentation. EHR incompatibility hinders provider data sharing and care coordination. Information silos in this fragmented environment hinder patient outcomes and treatment continuity. 
Data analytics hinder VBC adoption. Data-driven decision-making helps VBC identify high-risk patients, follow results, and assess intervention cost-effectiveness. Strong data analytics assist healthcare organizations understand patient demographics and enhance treatments and budgets. 
Many PHM tools hinder VBC setup. Chronic illness treatment, high-risk screening, and outcomes monitoring need these tools. PHM tools and EHR systems are incompatible, making data integration and VBC strategy information flow difficult. Resource Allocation Optimization Ideas To solve these difficulties, VBC implementation requires extensive resource allocation optimization. Few staff and tech. Healthcare firms may teach VBC. Maintain population health, care coordination, data analysis, and value-based compensation. Learning methods include classroom, online, and VBC expert coaching. 
Telehealth may fill underrepresented staffing needs. Telehealth experts can treat and prevent chronic diseases. Working together, VBC experts can heal chronic conditions quicker. Physician extenders, nurses, etc. are medically supervised. Physicians may concentrate on difficult patients while team members prevent, treat, and educate them.
VBC adoption requires provider-data-sharing EHRs. For integrated care planning, quality transitions, and population health management, these systems give entire patient data. 
VBC models' massive patient data may be used by data-driven healthcare organizations. These strategies identify high-risk individuals for preventive or monitoring. Data analysis examines patient outcomes, intervention cost-effectiveness, and patient group resource allocation. 
RPM systems offer rich VBC potential. These devices may help chronically ill people monitor vital signs and health data for early diagnosis and treatment. RPM technology early installation may minimize hospitalizations. 

Article Details

How to Cite
Chetan Sasidhar Ravi, Kalyan Sandhu, Mahammad Shaik, Venkata Sri Manoj Bonam, & Dheeraj Kumar Dukhiram Pal. (2023). Navigating The VBC Landscape: Optimizing Human And Technological Resources For Better Healthcare. Journal for ReAttach Therapy and Developmental Diversities, 6(10s(2), 1816–1826. https://doi.org/10.53555/jrtdd.v6i10s(2).3502
Section
Articles
Author Biographies

Chetan Sasidhar Ravi

Mulesoft Developer, Zurich American Insurance, Schaumburg, IL, USA

Kalyan Sandhu

Boomi Software Developer, F5 Networks, Seattle, WA, USA

Mahammad Shaik

Senior Manager, Software Applications Development, Charles Schwab, Texas, USA

Venkata Sri Manoj Bonam

Senior Data Engineer, New York Life Insurance, New York, NY, USA

Dheeraj Kumar Dukhiram Pal

Solution Architect, ReadyComputing Inc, New Jersey, USA

References

AAMC Research Institute. (2023). What's the value in value-based care? Research and Action Institute. Retrieved from https://www.aamcresearchinstitute.org/our-work/issue-brief/whats-value-value-based-care

Emorphis Technologies. (2024). 5 key areas of IT optimization to revolutionize healthcare delivery. Retrieved from https://emorphis.health/blogs/it-optimization-strategies-healthcare/

Porter, M. E., & Lee, T. H. (2013). The strategy that will fix health care. Harvard Business Review, 91(10), 50–70.

Bojja, G. R., & Liu, J. (2020). Impact of it investment on hospital performance: a longitudinal data analysis.

National Academies of Sciences, Engineering, and Medicine. (2018). Crossing the global quality chasm: Improving health care worldwide. National Academies Press. Retrieved from https://doi.org/10.17226/25152

PwC Health Industries. (2024). Value-based care insights for emerging health companies. Retrieved from https://www.pwc.com/us/en/industries/health-industries/library/value-based-care.html

ShiftMed Insights Team. (2024). The intersection of technology and human touch in hospital labor management. Retrieved from https://www.shiftmed.com/insights/knowledge-center/technology-and-human-touch-in-hospital-labor-management/

Senthilkumar, S., Brindha, K., Kryvinska, N., Bhattacharya, S., & Reddy Bojja, G. (2021). SCB-HC-ECC–based privacy safeguard protocol for secure cloud storage of smart card–based health care system. Frontiers in Public Health, 9, 688399.

Medical Economics Editorial Team. (2024). The state of value-based care. Retrieved from https://www.medicaleconomics.com/view/the-state-of-value-based-care

Innovaccer Health Blog Team. (2024). The evolution and history of value-based care. Retrieved from https://innovaccer.com/resources/blogs/what-is-the-history-of-value-based-care

Singh, P. D., Kaur, R., Dhiman, G., & Bojja, G. R. (2023). BOSS: a new QoS aware blockchain assisted framework for secure and smart healthcare as a service. Expert Systems, 40(4), e12838.

Northeastern University Online. (2024). 5 ways technology can make healthcare more affordable. Retrieved from https://online.northeastern.edu/resources/how-to-make-healthcare-more-affordable/

McClellan, M., Kent, J., Beales, S., Cohen, S., Macdonnell, M., Thoumi, A., ... & Darzi, A. (2017). Accountable care around the world: A framework to guide reform strategies. Health Affairs, 36(11), 2096–2105.

Porter, M., & Kaplan, R.S. (2016). How to pay for health care. Harvard Business Review, 94(7), 88–98.

Berwick, D.M., Nolan, T.W., & Whittington, J. (2008). The triple aim: Care, health, and cost. Health Affairs, 27(3), 759–769.

Centers for Medicare & Medicaid Services (CMS). (2020). Value-based programs overview: Linking provider payments to improved performance outcomes.

National Quality Forum (NQF). (2017). Driving value through measurement: A report on value-based purchasing programs.

Bodenheimer, T., & Sinsky, C. (2014). From triple to quadruple aim: Care of the patient requires care of the provider. Annals of Family Medicine, 12(6), 573–576.

Coeira, E., & Hovenga, E.J.S., (2011). Building a sustainable health system through information technology: The role of informatics in value-based care delivery systems.

McKinsey & Company Health Insights Team (2022). Value-based care models: Progress and challenges in achieving better outcomes at lower costs.

World Health Organization (WHO). (2021). Digital health strategy 2020–2025: Leveraging technology for better healthcare outcomes globally.