Electronic Medical Records in Tanzania: Why Training and Infrastructure Must Catch Up
An electronic medical record (EMR) stores and organizes patient information in a digital system for use by health workers. In Tanzania, facilities using GoT-HoMIS are discovering that installing software is only one part of digitization: dependable power, working equipment, connected systems, trained staff, and practical support matter just as much.
Digital records can help care teams find and share information, but a half-working system does not produce those benefits automatically. If a nurse enters the same details on a screen and on paper, the new system may create a second job rather than replace the first one. That distinction matters in facilities already balancing clinical work with limited time and resources.
The researchers’ findings are a useful warning against treating digitization as a software purchase. The work examined the Government of Tanzania Hospital Management Information System, known as GoT-HoMIS, alongside access to computers, electricity, and internet connections. The practical question is not simply whether a facility has a digital system. It is whether staff can depend on it during ordinary care, learn to use it correctly, and get help when it fails.
What Are Electronic Medical Records?
An electronic medical record is a digital collection of health information used to document and support care. It may include patient details, clinical notes, diagnoses, medicines, test results, and other records. The exact features depend on the software and how a health service configures it. An EMR is not, by itself, proof that a facility has stopped using paper.
The distinction between a digital record and a digital workflow is easy to miss. A facility may have computers and software but still rely on paper registers, forms, or files for routine work. Staff might also copy the same information into both systems because managers require paper documentation, the software is unreliable, or teams have not agreed on a safe alternative. In that situation, a screen has been added; the old process has not necessarily been retired.
Electronic medical records are sometimes discussed alongside electronic health records. The terms are used differently across health systems, but an EMR commonly refers to a record used within a facility or service, while an electronic health record may be intended to follow a patient across care settings. The label matters less than the practical questions: who can access the information, what it contains, how it is protected, and whether relevant staff can retrieve it when care depends on it.
GoT-HoMIS is the Government of Tanzania Hospital Management Information System assessed in the study. Researchers from Muhimbili University of Health and Allied Sciences (MUHAS) and the University of Dodoma examined its use among 41 healthcare professionals at six facilities in Iringa Urban and Manyoni districts. They also considered access to core infrastructure and the policy context. The reported findings describe those facilities and participants; they should not be mistaken for a national census of every Tanzanian health facility.
The World Health Organization’s Global Strategy on Digital Health makes a similar point at the system level: digital health depends on governance, people, infrastructure, and services, not technology alone. That is a more useful starting point than assuming a new application will fix a workflow by itself. Frankly, software cannot compensate for a power cut or unclear responsibility for a patient record.
The account of the study does not report the names of the six facilities or the exact dates of fieldwork. Those omissions limit what readers can infer about local differences or later changes in system readiness. The reported sample still gives a concrete view of the obstacles health workers face when paper and digital processes coexist.
Why the Transition Matters
Digital records are meant to support better information handling, not to win a technology contest. When a system works and staff can use it reliably, it may make patient information easier to find, support continuity between visits, and help facilities manage services. Those benefits depend on good data and workable routines. A digital record containing missing, duplicated, or outdated information can be just as unhelpful as a hard-to-read paper file.
For patients, the central issue is continuity and accuracy. A health worker making a decision needs a clear account of relevant history, treatment, and test results. If records are scattered across formats, the clinician may have to search several places or ask a patient to repeat information. That consumes time and can leave gaps. Yet digitization does not guarantee that records are complete or that every worker has permission and connectivity to see them. Those details must be designed and managed.
For health workers, parallel documentation has a direct cost: time spent entering or checking the same information twice. It can also create mismatches when one version is updated and another is not. Joseph Makaranga, the study’s lead author and a lecturer in the Department of Information Systems and Technology at the University of Dodoma, warned that parallel records increase workload and may affect health-data quality. Here’s the kicker: calling a facility “digital” does not remove that burden if staff still have to maintain both systems.
At the organisational level, usable records can help managers plan and monitor services, but only if information is entered consistently and infrastructure is dependable. A facility that loses power or network access may need a safe downtime process. A facility with broken hardware needs a repair path, not just a policy saying staff should use the system. Institutional support means assigning responsibility, funding maintenance, setting workable rules, and making help available when problems occur.
The study’s reported challenge pattern gives decision-makers a reason to prioritize basics. Technical problems—including unreliable connectivity, power outages, inadequate hardware, and system failures—accounted for more than half of the reported challenges. Organisational constraints accounted for around a third, while staff capacity gaps were also common. These findings point to connected problems, not a single culprit. Training cannot make an unreliable computer reliable; new hardware cannot settle unclear documentation rules.
There is also a human reason to get the details right. A patient is not a row in a database, and the purpose of accurate information is to serve a person receiving care. A sound system respects that dignity by helping staff give attentive, informed service rather than turning documentation into an end in itself. Let’s be real: efficiency matters, but it is valuable because it can give health workers more time and better information for care.
A Practical Step-by-Step Guide to Implementation
A move away from paper should be managed as service redesign, not a one-off installation. The steps below reflect the barriers reported in the Tanzanian study and established implementation principles. They are recommendations, not a claim that the six facilities followed each step.
- Map the work before choosing the fix. Trace how patient information is created, checked, stored, and retrieved during an ordinary visit. Ask the people who do the work where delays happen, where duplicate entry occurs, and which forms remain mandatory. Map the actual process, including after-hours care and referrals, rather than a tidy version drawn in an office. When I assess an implementation plan, I look for clear answers about who records each item and which record is authoritative. If those answers are missing, buying more computers will not settle the confusion.
- Check the infrastructure honestly. List available computers and their condition, the reliability of electricity, connectivity, backup arrangements, and access to technical repair. Test them during routine working conditions, not only during a demonstration. A facility should know what staff do when the network drops, a device fails, or power is interrupted. The solution may involve backup power, repairs, improved connectivity, or a documented offline procedure; the right choice depends on local conditions. Do not promise continuous access until the equipment and support can sustain it.
- Set clear information and downtime rules. Decide which records must be entered, who is responsible, how corrections are handled, and how staff should work during an outage. Specify how information entered on paper during downtime will be reconciled with the electronic record, who checks it, and by when. Protect patient confidentiality in both formats. Procedures should be short enough to use under pressure and specific enough to prevent two competing records from quietly becoming permanent. The WHO recommendations on digital interventions are a useful reminder to assess the health-system conditions around a digital intervention rather than assuming the tool works in isolation.
- Build training into the job, not around a launch date. One short course cannot prepare every user for every later update. Makaranga told SciDev.Net that health workers receive capacity-building training, but that sessions are short-term; system upgrades and new employees create new training needs and leave skills gaps. Make learning ongoing. Give staff practice with the tasks they actually perform, such as retrieving a record, entering a clinical note, correcting an error, and following downtime rules. Use brief demonstrations, guided practice, job aids near the workstation, and supervised practice where possible. Check whether staff can complete the task, not merely whether they attended a session.
- Design a curriculum around roles and real tasks. Health training institutions can include digital health in their curricula so graduates encounter health information systems before they enter a busy facility. A useful curriculum goes beyond button sequences. It covers data quality, confidentiality, safe documentation, system limitations, and what to do when the software is unavailable. Different roles need different practice: a clinician, records officer, and facility manager may use the same system for different purposes. Short refresher modules can address system updates, while onboarding gives new employees the basics they missed before joining. That is instructional design with a practical test: can learners perform safely in their actual setting?
- Provide support after training. Identify a local contact for technical and workflow questions, and make clear how unresolved problems are escalated. Record recurring faults, response times, and the effects on patient documentation. A staff member who knows the system well can help colleagues, but that person cannot replace maintenance, clear policies, or adequate staffing. Support needs an owner and time allocated to it. The WHO Digital Implementation Investment Guide offers a structured approach to planning digital health investments within health programmes; it is useful precisely because implementation costs and dependencies extend beyond the initial purchase.
- Measure readiness and improve in stages. Track measures that show whether the work is actually becoming more reliable: duplicate documentation, system availability, unresolved technical faults, staff competency on key tasks, and missing or inconsistent records. Choose measures that can be collected without creating a new reporting burden. Review them with frontline workers, and use the results to fix processes rather than to punish staff for infrastructure failures. If paper remains necessary, document why and set conditions for review. A firm national direction can help, but a deadline without readiness checks can turn a sensible goal into rushed compliance.
The sequence matters. Training before a system is stable can frustrate staff; infrastructure without agreed workflows can leave the same old confusion on a faster device. The WHO digital health strategy also emphasizes coordination across the pieces of a digital health system. A practical plan joins equipment, skills, policy, and support—and then checks whether care documentation has improved. That is less flashy than announcing a rollout. It is also more likely to last.
Electronic Records Versus Paper Records
Paper is the comparison that matters most in the Tanzanian study because paper files and electronic records are being maintained together in some settings. Neither format works well without sound processes. The table describes general operational trade-offs, not a claim that every facility experiences them in exactly the same way.
| Consideration | Electronic medical records | Paper-based records |
|---|
| Finding information | Can make retrieval faster when the system is working, records are complete, and users have access. | May require searching through files or registers; local filing practices strongly affect retrieval. |
| Availability | Depends on functioning devices, power, software, connectivity where needed, and technical support. | Can remain usable without electricity or a network, provided the physical file is present and legible. |
| Updating records | Can make digital updates available to authorized users, but errors and missing entries remain possible. | Changes can be written directly, but handwriting, lost pages, or delayed filing can complicate interpretation. |
| Workload during transition | Can add work when staff must also complete paper forms or duplicate entries. | Familiar procedures may be easy to continue, but paper-only handling can take time and make aggregation difficult. |
| Data quality | Supports structured entry only when the system, training, and checks are adequate. | Quality depends on consistent writing, filing, and review; records can be incomplete or difficult to read. |
| Resilience | Needs tested downtime and recovery procedures for outages or system failure. | Offers a physical fallback, but needs secure storage and a process for restoring information to the digital record. |
Paper can be a sensible fallback during a system outage or where a procedure still requires physical documentation. That is different from keeping duplicate records by default because nobody has decided which process should end. A safe hybrid arrangement has explicit rules, a way to reconcile entries, and a review date. Otherwise, the fallback can quietly become a permanent second workflow.
The goal should not be to declare one format morally superior. A reliable electronic record may improve access and reduce repeated searches; a paper record may remain available when a device cannot be used. The important test is whether the chosen process gives staff accurate, accessible information without creating avoidable work or compromising privacy. The transition is successful when the workflow is dependable, not when a facility can point to a computer.
Common Mistakes to Avoid
Treating installation as completion. A functioning login screen proves that software can open. It does not prove the system is available during care, that staff know what to do, or that paper processes have been retired. Use readiness checks, real tasks, and ongoing fault reports. A launch event is not an outcome.
Making training a single event. Short-term capacity building may introduce a system, but it cannot cover later upgrades, staff turnover, and fading confidence. Makaranga specifically identified these continuing demands. Build refresher training into operations and orient new employees before they are expected to document independently. Check skill through practical tasks, not attendance sheets alone. The truth is, a training certificate cannot click through a system for someone on a busy shift.
Assuming every problem is a staff problem. If the network drops, the computer is inadequate, or the system fails, repeating a training session will not solve the main obstacle. Conversely, stable infrastructure does not remove the need for clear instruction. Diagnose the failure before prescribing a remedy. The study reports technical and organisational barriers as well as skills gaps, so a plan focused only on worker behaviour misses much of the picture.
Keeping both systems without a purpose. Paper can protect continuity during outages or meet a defined documentation requirement. But if staff enter the same information twice indefinitely, the facility pays in time and risks mismatched records. State when paper is used, how it is reconciled, and who checks the result. If no one can name a reason for a duplicate form, review it instead of treating it as untouchable.
Announcing a deadline before checking readiness. Policymakers need direction and accountability, and Makaranga called for a firm deadline to complete the transition and phase out paper records. A deadline can focus investment, but it should be paired with measurable readiness conditions: dependable electricity, working devices, access to support, trained staff, and safe downtime procedures. Otherwise facilities may be pressured to report compliance while continuing shadow paper workflows.
Measuring devices instead of results. The number of computers or accounts created is easy to count. Those figures do not show whether a health worker can find the right record or whether duplicate entries have fallen. Pair basic deployment measures with checks on system availability, data completeness, staff competence, and workflow burden. Keep the indicators manageable; a new digital project should not bury workers in a fresh stack of reporting forms.
Overlooking curriculum and onboarding. If digital health is treated as an optional topic, facilities will repeatedly have to teach basic skills after hiring. Health training institutions can give students a foundation in digital documentation, privacy, data quality, and system limitations. Employers still need local training, because each facility has its own configuration and procedures. Education and workplace support should reinforce each other, not compete for responsibility.
Frequently Asked Questions
What does EMR mean?
EMR means electronic medical record: a digital record used to document and support patient care. It may hold clinical notes, diagnoses, treatment information, and other health data. The term does not guarantee that a facility uses only digital workflows or that records can be shared across different providers. Those capabilities depend on the system, local rules, infrastructure, and how the service is organized.
Why do facilities keep paper and electronic records at the same time?
Paper may be needed during outages, required by established procedures, or used while a facility moves from one workflow to another. The problem arises when duplicate documentation continues without clear rules or a plan to reconcile the two versions. The Tanzanian researchers warn that parallel records can increase staff workload and affect data quality. A facility should define when paper is necessary and how information returns to the electronic record.
What is slowing the move to digital records in the Tanzanian facilities studied?
The study examined 41 healthcare professionals across six facilities in Iringa Urban and Manyoni districts. Researchers reported that technical problems—such as unreliable network connectivity, power outages, inadequate hardware, and system failures—accounted for more than half of reported challenges. Organisational constraints accounted for around a third, and staff capacity gaps were also common. These findings describe the studied facilities; they do not establish the exact situation in every facility in Tanzania.
What training helps health workers use EMRs well?
Training should be practical, repeated, and connected to each worker’s actual tasks. Staff need guided practice with common actions, clear job aids, support after system changes, and onboarding when new employees arrive. They also need instruction in data quality, confidentiality, and downtime procedures—not just where to click. A useful check asks staff to complete important tasks safely and correctly, rather than counting attendance as proof of competence.
Final Thought
A digital record system should make responsible care easier to deliver, not simply add another place to enter information. Tanzania’s transition depends on whether facilities can support the whole arrangement: reliable infrastructure, sensible workflows, ongoing training, useful curricula, and prompt technical help. The study by MUHAS and the University of Dodoma puts those conditions in view through the experiences reported by health workers at six facilities.
The next step is not to pretend that paper can disappear everywhere on a single date regardless of local readiness. Nor is it to accept parallel records as inevitable. Policymakers and facility leaders can set a clear direction, fund the practical requirements, define safe exceptions, and check progress against working conditions. Training institutions can prepare future staff, while facilities keep current teams ready for upgrades and new procedures. Each part has a job to do.
When I assess a digitization plan, the test is plain: can a health worker retrieve and record useful information accurately, even when ordinary pressures arrive? If the answer is no, the plan still needs work. Good records serve more than administrative neatness. They help staff see the person behind the file, make informed decisions, and spend their attention where it belongs—in care.