Patient Matching 2.0

Student - Lahiru Jayathilake
Primary Mentor - Burke Mamlin
Backup Mentor - Shaun Grannis
Project Wiki - Patient Matching 2.0
TALK Thread - OpenMRS TALK Thread Patient Matching 2.0
GitHub Fork - Lahiru-J/patient-matching
What is Patient Matching 2.0
Patient Matching Module is an application where it tries to identify records that belong to the same patient among different number of data sources. This module is significant because in real world it has to be dealt with erroneous data. For example, a patient’s name can be misspelled. Benefit of this module is by linkage of records it would be easier for a patient to visit a hospital without carrying hard copies of test results whether or not the tests were done at the same hospital.
Summary of the Work
✔︎ Incremental Patient Matching
To give a little introduction on what incremental patient matching is, it is a method of identifying duplicate patients very efficiently.
In a real world scenario, the requirement would be to match thousands of patients with each other. Once this matching process continues it would be very time consuming since all of the patients are compared with each of them regardless of the fact that two or three new patients are added/updated. Incremental patient matching is used as a suggestion to save time.
This task was my primary goal and I have successfully completed it.
Following are the commits & pull requests related to this task. Note that commits related to a branch are squashed according to the OpenMRS convention.
Commits
PTM-82 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/b3ffd77b394cf021b3b4552bda726100e39b6190
PTM-83 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/7704534457797845ecf6896072a3c441494d8299
PTM-84 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/c81024533508ac91f57a48c9b41beb2ebdc74595
PTM-85 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/35172a90f9ec061b9027d37f6757f53463ea1df6
PTM-86 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/b624286e1ad362ecf283a942f6b4d4c1b9429b75
PTM-89 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/be4f39153b976dc3493f7541ff3e590ba1ecb73c
Pull Requests
Primary Mentor - Burke Mamlin
Backup Mentor - Shaun Grannis
Project Wiki - Patient Matching 2.0
TALK Thread - OpenMRS TALK Thread Patient Matching 2.0
GitHub Fork - Lahiru-J/patient-matching
What is Patient Matching 2.0
Patient Matching Module is an application where it tries to identify records that belong to the same patient among different number of data sources. This module is significant because in real world it has to be dealt with erroneous data. For example, a patient’s name can be misspelled. Benefit of this module is by linkage of records it would be easier for a patient to visit a hospital without carrying hard copies of test results whether or not the tests were done at the same hospital.
Summary of the Work
✔︎ Incremental Patient Matching
To give a little introduction on what incremental patient matching is, it is a method of identifying duplicate patients very efficiently.
In a real world scenario, the requirement would be to match thousands of patients with each other. Once this matching process continues it would be very time consuming since all of the patients are compared with each of them regardless of the fact that two or three new patients are added/updated. Incremental patient matching is used as a suggestion to save time.
This task was my primary goal and I have successfully completed it.
Following are the commits & pull requests related to this task. Note that commits related to a branch are squashed according to the OpenMRS convention.
Commits
PTM-82 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/b3ffd77b394cf021b3b4552bda726100e39b6190
PTM-83 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/7704534457797845ecf6896072a3c441494d8299
PTM-84 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/c81024533508ac91f57a48c9b41beb2ebdc74595
PTM-85 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/35172a90f9ec061b9027d37f6757f53463ea1df6
PTM-86 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/b624286e1ad362ecf283a942f6b4d4c1b9429b75
PTM-89 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/be4f39153b976dc3493f7541ff3e590ba1ecb73c
Pull Requests
PTM-83: Save and update incremental patient matching report to the database
PTM-84: Functionality to support two datasources
PTM-85: Functionality to select or deselect incremental match
PTM-86 : Remove matching pairs from the report when patients are updated
PTM-89 : Ignore voided patients when running a patient match
If some of the patients in a group supposed to be the same then the user can merge those patients making they will not appear again in a patient matching report.
Commit
PTM-87 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/6ee57f19ef62eea642b18d1642c938cd2033f8ab
Pull Request
PTM-87 - Functionality to Merge Patients in the report
✔︎ Exclude Non-Matching Patients
There can be some scenarios where the module results some of patients to be same but in real life those patients are related to totally different people. If this happens Patient Matching 2.0 project provides a functionality to eliminate such records without them repeatedly appearing on a patient matching report.
Commit
PTM-88 - https://github.com/Lahiru-J/openmrs-module-patientmatching/commit/b1f3fccf5151ee10f4d2282e62c88fa8b93dcca4
Pull Request
PTM-88 : Functionality to exclude non-matching patients
Blog Posts
OpenMRS
Throughout this summer I learned a lot. Whenever there were problems related to the project I had a great support from my mentor and the community. Participating in daily scrums showed me how good this OpenMRS community is.
My mentors are the best. They gave me guidance at the first place, conducting many video conferences because of that I could carry out this project with a sound knowledge. Burke, Shaun thank you very much for your support throughout this summer. I feel really grateful to these mentors.