Patient Discharge Care Planning Essay Paper

Because of the widespread application of HIT and health information systems, the discharge process has advanced by a significant margin. Discharge is referred to as the last step of a doctor’s care or operation of a patient in a hospital setting (Karaca & Durna, 2019). This happens to be a high-risk condition and certain patients will need to re-admission as a result of insufficient follow-up treatment or inadequate communication during the operation. Health care professionals must organize preparation across caregiver behaviors in order to remain successful in the discharge process. The method of preparing for discharge is underway and must start with consent. In order to help patients through inpatient treatment, providers must prioritize protocols and review equipment.

Health care facilities should use HIT to generate structured data that can be utilized to improve the readmission phase. Similarly, information technology allows for the processing of medical details and, as a result, a patient-centered discharge plan. The aim of this paper is to see how effective gathering and recording EHR data, as well as HIT help, affect discharge planning. Patient Discharge Care Planning Essay Paper

HIT Use for Longitudinal, Patient-Centered Care

It’s critical to comprehend how developments in clinical information systems affect health care. It was discovered that patient-centered treatment awareness areas had a positive effect on health care (Ulin, Olsson, Wolf & Ekman, 2016). When patients are released or moved to separate facilities, patient-centered predictive nursing increases coordination and communication, thanks to the usage of HIT by healthcare organizations. Martha’s competent medical professionals, on the other hand, would be able to cooperate more reliably and enhance their health status through inpatient treatment with the appropriate technology, allowing for more successful discharge training.

Healthcare organizations may use HIT to get direct input from customers, in particular. They gather information regarding their desires and preferences while still keeping track of their overall performance. As a consequence, they’ll develop longitudinal release plans for patients that need different stages of care, consult with patients, and then update information at all levels of care. They will also use HIT to boost the patient’s status in patients with discharge arrangements saved in their EHR. The interprofessional team now had all of the information they needed to develop a patient-centered longitudinal recovery plan for Martha’s discharge.

Components of the HIT

HIT is made up of a number of modules that allow for the recording of basic health information. The key HIT framework is made up of a number of modules, including instruments, data sources, data collection, and data distribution and usage (Weiss et al., 2015). Human capital and information and communication technologies (ICTs) are both called assets. As a consequence, the team would employ IT experts as well as a variety of healthcare services to collect information on the patient’s diagnosis and recovery. Employees gather information in order to assist the team in developing a viable redundancy strategy.

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Furthermore, data sources are an essential component of HITs. The patient, family members and physicians are also involved in individualized treatment and attention in this case. You’ll be able to collect information that will aid in the development of interventions to enhance Martha’s follow-up treatment. Data flows are beneficial to health care and aid in the reorganization of efforts into long, patient-centered discharge schedules. Data storage, on the other hand, is an essential component of HIT. It encompasses all facets of data collection, storage, compilation, and analysis. It is the team’s duty to make sure that this information is secure and easy to reach for policymakers. When operating requirements are taken into consideration in order to ensure reliable and effective data distribution and utilization, this is possible. Patient Discharge Care Planning Essay Paper

Support Elements for Patient Coordination in HIT

The HIT feature encourages collaborative efforts to capture, store, and utilize health data for accurate evaluation and care. They have the potential to transform patient management and interprofessional cooperation around the healthcare continuum. These aspects make it easier to keep track of information, which leads to cooperation with Martha’s caregivers and service providers. The HIT component aids therapy by encouraging all doctors interested in the patient’s care to review and obtain information about him or her. These components are found in technological tools including hardware and computerized medical commands, which enable various health systems to communicate with one another. This means that all members of the interprofessional team are aware of the patients’ needs.

The HIT part is ideal for storing and handling patient information. It can be used to communicate with medical practitioners over the internet to share information in a secure and timely manner (Ulin, Olsson, Wolf & Ekman, 2016). If Martha speaks to a therapist regarding her depression but doesn’t want her mental health records shared with any physicians, the consultant would be able to use or read them. The HIT aspect aids in the drug administration of the patient.

Data reporting

For health care organizations, data reporting, including success by assessment is critical. First and foremost, prevention control would be strengthened, resulting in improved case management, therapeutic efficacy, recovery readiness, and interprofessional innovation in nursing. It makes use of both past and existing information to assist healthcare providers in detecting potentially life-threatening illnesses before they emerge (Karaca & Durna, 2019). As a result, sharing specifics of a patient’s actions increases service delivery and decreases re-enrollment, resulting in improved performance indicators and care management. Second, information about the consumer’s additional disease monitoring activities is provided.

This enables health care providers to utilize current and historical metrics to guarantee their patients cannot spread the illness to others. In addition, the practitioner should take the appropriate precautions or measures to monitor the patient’s condition. Third, disclosing facts regarding customer behavior benefits patients’ health. This makes it easier for healthcare professionals or businesses to offer specific information to each individual client. This enables doctors and physicians to provide their patients with customized recommendations for keeping a healthy lifestyle based on their biometrics or medical situation. As a result, data reporting has been shown to increase interprofessional patient engagement, therapeutic efficacy, medication planning, and innovation.

Evaluation of Data Quality

It’s critical to note that good data accuracy aids health care providers in understanding and treating patients’ expectations. This may be calculated by evaluating the information’s adequacy, precision, consistency, timeliness, and validity. The definition of clarity is the degree to which the data gathered is adequately deep or informative for a given mission (Ulin, Olsson, Wolf & Ekman, 2016). The information must be shared between databases and represented in a consistent order, which is known as a chain. On the other side, accuracy is what decides whether or not the information is right. Since it shows the continuity of information at a given point in time, topicality also influences the precision of the data evaluation. Due to a shortage of timeliness, decision-making is slowed. Inverse validity is a technique for deciding how much of the data gathered corresponds to the relevant importance attribute.

Positive Impact of Patient Records on Medical Outcomes

Reports from medical records may be used to create well-informed decisions on how to improve health treatment. This information allows health care providers to better understand their patients’ needs and deliver the treatment they need. The patient’s condition changed as a consequence of this. Awareness further improves hospital quality and has a beneficial effect on patient satisfaction. Health care professionals should send patient reports to insurance brokers and registrars using sophisticated data collection methods and protocols (Goldman et al., 2016). As a consequence, payers assist patients with paying medical costs, thus allowing providers to offer adequate services.

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Coordination of HIT Use by Interprofessional Team Members

Multidisciplinary teams are critical for resolving complex issues and influencing health care choices. Primary care professionals from several divisions collaborate to address the clinical concerns of a variety of individuals. This enables members of the interprofessional team to combine their results in order to fulfill the mission requirements for successful treatment and discharge. They will do this by sharing their awareness of information and communication technologies, which will allow them to pool their efforts. Furthermore, they reported the findings in electronic medical records. This ensures they are accessible to any professional with experience in the customer care phase (Ulin, Olsson, Wolf & Ekman, (2016). Their findings are thus organized and incorporated into the HIT network.

Conclusion

Healthcare data management is critical in the development of a patient-centered longitudinal release policy. It eliminates the disparity in cooperation among interprofessional team members, encourages collaboration, and decreases medical errors. Furthermore, it fosters a rich medical experience by putting together healthcare providers from all backgrounds, culminating in a more accurate understanding of patient needs. By solving health challenges by interprofessional cooperation, sharing HIT decreases the rate of receptivity. Evidence of relevant patterns is frequently useful in designing patient-centered release orientation plans over the long term.

In conclusion, we need to take action to strengthen our health information technology (HIT) by providing consistency benchmarks for improved treatment for the rural community that SHH represents since our meeting with department heads. We look for state grants for health care assistance in remote communities, as well as funding for the construction of HIT technology, such as hardware and software. SHH will become an ACO by expanding our EHR and meeting the Center for Medicare and Medicaid Services’ recommendations.

References

Goldman, J., Reeves, S., Wu, R., Silver, I., MacMillan, K., & Kitto, S. (2016). A sociological exploration of the tensions related to interprofessional collaboration in acute-care discharge planning. Journal of interprofessional care, 30(2), 217-225.

Gonçalves‐Bradley, D. C., Lannin, N. A., Clemson, L. M., Cameron, I. D., & Shepperd, S. (2016). Discharge planning from hospital. Cochrane database of systematic reviews, (1).

Karaca, A., & Durna, Z. (2019). Patient satisfaction with the quality of nursing care. Nursing open, 6(2), 535-545.

Stelfox, H. T., Lane, D., Boyd, J. M., Taylor, S., Perrier, L., Straus, S., … & Zuege, D. J. (2015). A scoping review of patient discharge from intensive care: opportunities and tools to improve care. Chest, 147(2), 317-327.

Tyler, D. A., Gadbois, E. A., McHugh, J. P., Shield, R. R., Winblad, U., & Mor, V. (2017). Patients are not given quality-of-care data about skilled nursing facilities when discharged from hospitals. Health Affairs, 36(8), 1385-1391.

Ulin, K., Olsson, L. E., Wolf, A., & Ekman, I. (2016). Person-centred care–An approach that improves the discharge process. European Journal of Cardiovascular Nursing, 15(3), e19-e26.

Vasilevskis, E. E., Ouslander, J. G., Mixon, A. S., Bell, S. P., Jacobsen, J. M. L., Saraf, A. A., … & Schnelle, J. F. (2017). Potentially avoidable readmissions of patients discharged to post‐acute care: perspectives of hospital and skilled nursing facility staff. Journal of the American Geriatrics Society, 65(2), 269-276.

Weiss, M. E., Bobay, K. L., Bahr, S. J., Costa, L., Hughes, R. G., & Holland, D. E. (2015). A model for hospital discharge preparation: from case management to care transition. JONA: The Journal of Nursing Administration, 45(12), 606-614.  Patient Discharge Care Planning Essay Paper