lastname Bruname Middle ? 5/18/1954 Medicaid 7/22/1942 Medicare 47233 546-23-xxx

Question

lastname Bruname Middle ? 5/18/1954 Medicaid 7/22/1942 Medicare 47233 546-23-xxx Baker St. 158237 315-24-3000x Watson 520613 588-32-x00x Jones 723341 213-22-x000x Harris 894231 588-32-X0xx Jones 189011 533-4400x0X Marshall 218220 151-24-X000X Leonard 797536 213-22-x000x Harris-Smythe Ann 36524 315-24-x0X0X Watson 466100 546-23-xXX0x Baker 744183 626-26-x000x Baker 118231 641-58-x000x Thomas 237352 641-58-X0X0X Carlson MichereTara Lynn 10/12/1963 Commercial Marie 9/10/1952 Self 10/21/1963 Commmercial Lynn Allen Lee 11/4/1961 Commercial 6/17/1943 Medicare 9/10/1952 Commercial 7/22/1924 Medicare S/18/1945 Medicare 4/18/1965 Commercial 1/16/1971 Self 1/16/1971 Self Tucker Timothy On C Michelle Howard Carison Thomas Paul 9/1/1952 Commercial 6/17/1934 Medicare 9/1/1925 Commercial 7/22/1924 Medicare 5/18/1954 Medicaid 898233 213-22-x0Xx HarrisSmythe Ann 789321 151-24-x000x Allen TimothyLeonard 664455 213-22-X00xXx SmytheHarris Ann 98723 315-42-X0xXxX Watson Michelle Howard Lee Louis 587532 546-23-X0XXX Baker Suppose you are emploucd at a healtuh untpumahor eyohang ?uth 25 compenart ongaugchon and ase the tollouing Repurt usted above. Peopose fwe steps to Remackate fihe sse Foley, D.m.(zoto). Healtth Intamathon maracement

Explanation / Answer

I would suggest the following steps to remediate issue associated with the data:

Step 1 - Identification of issues. As a first step, we need to identify the issues with the data at hand and categorize errors into different types. Currently, there are many problems related to the data in the system. The correctness of data is the major one.

Step 2 -Categorize the source of error - It is important to understand the source of error for each type of the data. Are the data feeds coming into HIE incorrect or is it the manual data entry that is causing the problem. In case the data feeds are incorrect, it would be important to check the sanity of data in the source system and remediate issue in the source system.In case of manual data errors, it would be important to educate staff regarding checks they need to do to identify duplicates or wrong data entries.

Step 3 - Once you have identified the source of problems, it is important to have standard operating procedures and training manuals for users.The company needs to draft a policy to avoid data entry errors. Once a patient wishes to receive service, the person attending should check the previous record of the person and see the details that exist in the system. Only the details that can change is "Payment type", rest all remains consistent. Parameters like DOB and name should remain consistent across all MRN's.

Step 4 - Electronic systems/Algorithms - The company can build a system such that when a patient revisits and data is entered, a backend algorithm is run to see if the patient already exists in the system. If Yes, data such as DOB and name can be pre-populated OR if this is not possible then if the system detects a repeat patient then it should throw an error in case wrong data is entered for the patient. The system can match real-time data entered vs existing data.

Step 5 - Measure impact and make changes - Once we have taken steps to sort issues with regards to data quality, we must regularly track the errors that are still associated with data and improve continuously to remove them. It is important to measure the effectiveness of steps taken and make necessary changes wherever required.

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